What are the risks associated with the biohazard?
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Introduction.
CDC ’s Divi sion of Laboratory Systems knows that incidents involving biological, chemical, physical, and radiological hazards can have a significant impact on the safety and health of those who work in laborator y settings. Risk management is a continuous process to identify , assess (evaluate) , control , and monitor risks . T he risk assessment components of th e overall risk management process are :
See ISO 35001 for the complete risk management process.
Step 1:
I dentify the hazards and risks.
Step 2:
E valuate the risk s.
Implement a risk mitigatio n plan, as needed.
E valuate effectiveness of controls.
Many laboratory activities have been linked to undesirable events, including laboratory-acquired infections. These can result from direct contact of the infectious agent with mucous membranes of the eyes, nose or mouth via sprays, splashes, or droplets; inhalation of infectious aerosols generated during activities such as mixing and centrifugation; or from percutaneous inoculation via sharps, needle sticks, or non-intact skin (e.g., scratches and cuts).
To minimize risks and provide a safe work environment, a risk assessment should be performed to evaluate what could go wrong by determining the likelihood that an undesirable incident (e.g., injury, exposure) may occur and the consequences (e.g., infection or disease) if that undesirable incident were to occur.
Formal risk assessments should be performed before work begins, and repeated when any change is introduced into the activity (e.g., changes in practices, personnel, instrumentation, or facilities). Informal risk assessments, which include short discussions among staff about current risks and mitigations, should occur much more frequently, ideally daily.
A team should perform risk assessments to ensure various perspectives are considered and to reduce bias. This team could be comprised of senior leadership, clinical laboratory scientists, safety professionals, facility engineers, and others familiar with the site-specific and activity-specific laboratory and testing activities.
In general, risk assessments can be broken down into Steps 1-2 in the figure above. The risk assessment should include considerations about the hazards (e.g., biological agent), the specific processes and procedures, existing control measures, the facility and testing environment, and the competency of the testing personnel.
In this section, learn how to answer these questions:
For a specific activity or procedure, identify the hazards in each step or task that must be completed. Ask what, where, and how the work is occurring and who is doing the work. Then, determine what could go wrong in every step of the activity or procedure and the result of the undesirable incident (e.g., injury, exposure, infection, disease). One method of accomplishing this is to perform a job hazard analysis. Examples are depicted below.
a. Characterize the risks
There are various and multiple risks involved in performing laboratory testing. The risk assessment should evaluate each risk against a standard set of criteria so that the assessed risks can be compared against each other. The criteria should focus on both the likelihood of the undesirable incidents occurring and the consequences if those undesirable incidents were to occur.
Source: Sandia National Laboratories Biosafety and Biosecurity Risk Assessment Technical Guidance Document 2014.
Likelihood and Consequences of Risk
The likelihood component of risk includes factors that affect whether or not the incident happens and occurs before the actual incident occurs; the consequences of risk considers factors that affect the severity of an incident after it has occurred.
It is important to define what is being evaluated because some factors can affect the likelihood and consequence s . For example, the availability of appropriate personal protective equipment ( PPE ) can reduce the likelihood of exposure, but wearing the appropriate PPE correctly can also reduce the consequences if an exposure occurs.
Likelihood of Risk
S o me f actors to consider tha t can affect the likelihood of an undesirable incident ( such as exposure to a biological agent in this example) include :
To evaluate the consequences after an undesirable incident occurs , assess the characteristics of the hazard(s) or biological agents , the health and immune status of the laboratory /testing personnel, and the availability of vaccines, prophylaxis, or therapies.
Consequences of Risk
S ome f actors to consider that can affect the consequence s of an undesirable incident ( such as infection in this example) include:
b. Prioritize the risks and determine if risks are acceptable
It is important to acknowledge that risks can be reduced, but generally cannot be completely eliminated unless the work is discontinued entirely (e.g., elimination) or modified to incorporate less harmful activities such as using surrogates (e.g., substitution ) .
Th e risk assessment team should use the results to determine which risks are relatively higher or lower than other risks. Based on the risk assessment, the institution /testing site should determine which risks are acceptable (work can proceed with the existing controls ) , and which risks are unacceptable ( work cannot proceed until additional mitigation controls are implemented to reduce the risk to an acceptable level) .
For risks that are determined unacceptable by the institution , a mitigation control plan should be implemented .
The effectiveness of implementing additional controls (e.g., engineering controls, administrative and work practice controls , and use of PPE) should be reviewed and evaluated .
For more information on mitigation and evaluation of the performance of controls, see Biosafety in Microbiological and Biomedical Laboratories (BMBL) (6 th E dition) .
For more information about this Division of Laboratory Systems biorisk assessment resource, contact us at [email protected]
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Risk assessment - start here.
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James h. nichols.
From the Tufts University School of Medicine, Springfield, MA, USA
Risk management is the systematic application of management policies, procedures, and practices to the tasks of analyzing, evaluating, controlling and monitoring risk (the effect of uncertainty on objectives). Clinical laboratories conduct a number of activities that could be considered risk management including verification of performance of new tests, troubleshooting instrument problems and responding to physician complaints. Development of a quality control plan for a laboratory test requires a process map of the testing process with consideration for weak steps in the preanalytic, analytic and postanalytic phases of testing where there is an increased probability of errors. Control processes that either prevent or improve the detection of errors can be implemented at these weak points in the testing process to enhance the overall quality of the test result. This manuscript is based on a presentation at the 2nd International Symposium on Point of Care Testing held at King Faisal Specialist Hospital in Riyadh, Saudi Arabia on October 12-13, 2010. Risk management principles will be reviewed and progress towards adopting a new Clinical and Laboratory Standards Institute Guideline for developing laboratory quality control plans based on risk management will be discussed.
Risk is defined in ISO31000 as the effect of uncertainty on objectives, whether positive or negative. 1 For healthcare, risk is generally understood to mean the chance of suffering or encountering harm or loss. 2 So, risk is essentially the potential for harm to occur to a patient or the possibility of an error that can lead to patient harm. Risk can be estimated through a combination of the probability of harm and the severity of that harm. 3 There are two methods to reduce the risk of harm to a patient:
Risk management is the identification, assessment, and prioritization of risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events or to maximize the realization of opportunities. 4 , 5 Risk management is essentially the systematic application of management policies, procedures, and practices to the tasks of analyzing, evaluating, controlling and monitoring risk. 6
The terms risk and risk management may seem unfamiliar in the clinical laboratory, but technical staff and laboratory directors conduct a number of activities that could be considered risk management in the day-to-day operations of a laboratory. The performance of new tests is evaluated before use in patient care, control sample failures are investigated for instrument and reagent problems, and management responds to physician complaints. When incorrect results are reported, the staff must determine and correct the cause, and report the correct results. If patients were treated based on incorrect results, management must estimate the harm that occurred to the patient and take steps to prevent similar incidents in the future. So, risk management is not a new concept, just a formal description of activities that laboratories are already doing as part of their quality assurance program to prevent errors and reduce harm to a patient.
Understanding weaknesses in the testing process is a first step to developing a quality control plan based on risk management. Laboratories should create a process map that outlines all the steps of the testing process from physician order to reporting the result. A process map basically follows the path of the sample from the patient through transportation, receipt and analysis in the lab to reporting of result. This process map should include preanalytic, analytic, and postanalytic processes required to generate a test result that can be acted on by a clinician.
Weak steps in the testing processes are those that have a higher probability of generating an error. These can be identified through prior experience with similar instrumentation or from information collected from the manufacturer and other users about the test and method, how the test will be utilized in diagnosing or managing the patient, the laboratory environment and staff who will perform the test, and local regulatory and accreditation requirements that mandate control over specific aspects of the testing process ( Figure 1 ). This information will be utilized to develop a quality control plan specific to the device, the laboratory, and the health-care setting that reduces the risk of harm to the patient, and meets regulatory requirements for quality of testing by the laboratory. To identify weaknesses in the testing process that could lead to error, laboratories need to acknowledge that all medical devices can fail when subjected to the right conditions (environment, operator or device sources of error). Realizing those conditions that may cause device failure and taking steps to protect a testing device from exposure to those conditions is the foundation of a quality control plan.
Process to develop and continually improve a quality control plan. (Obtained with permission from CLSI. Laboratory Quality Control Based on Risk Management; Proposed Guideline. CLSI document EP23-P. Wayne, PA: Clinical and Laboratory Standards Institute; 2010.)
Most errors occur in the preanalytic or postanalytic phases of testing, outside of the laboratory and beyond the supervision of laboratory staff. 7 Preanalytic concerns should include the physician order (is there an order and was it transcribed correctly), was the patient prepared for the test (if fasting or withholding medication is required), was the appropriate preservative used to collect the specimen, was the specimen collected at the expected time, and was the specimen promptly transported to the laboratory, (protected from freezing or heating)? Reagents, controls, calibrators and other testing supplies must be shipped to the laboratory where they may be exposed to conditions (heating and freezing) that could compromise test results. Postanalytical processes should consider how the test was reported and communicated to the ordering physician since manual transcription is prone to more errors than automated reporting systems using computer interfaces. But computers are also not foolproof, and instrument interfaces have been known to occasionally report incorrect results to the wrong patients or associate results with the wrong test due to glitches in the interface communication. Verbal communication also has the potential to be misunderstood and communication of critical, life-threatening values can be mixed-up unless the results are written down and confirmed by read-back to the caller. The prevalence of errors in the preanlytic and postanalytic phases does not mean that the laboratory and analytic phase is free of errors. Failure to verify instrument performance prior to patient testing, incorrect maintenance, wrong calibrator setpoints, use of expired reagents, aliquotting errors, flawed calculations and dilution factors can all be sources of analytic error that occur within the laboratory.
There are, thus, many sources of error to consider throughout the testing process. Of primary consideration is the impact of the environment, the operator, and the analysis on the quality of test results. Temperature can freeze or overheat sensitive reagents and compromise results, but so can humidity, light and even altitude. Operators can inadvertently misidentify a patient and associate the labeling of the sample with the wrong patient. So the optimum laboratory control processes will be worthless if the specimen is mislabeled with another patient's identification. Testing by clinical personnel at the point of care is more prone to errors than analyses conducted by experienced laboratory professionals with training in error recognition and prevention. Analyzers can fail despite proper operation if incorrect calibrator factors are programmed or samples are incorrectly applied, aliquoted or diluted. So, considerations for common sources of environmental, operator and analyzer error should be considered when developing a quality control plan.
Weak steps in the testing process are sites for control processes to either prevent errors before they happen or detect errors before they can harm the patient. Historical quality control arose from the industrial setting where factories analyzed samples of a product to ensure that the product met specifications and the production line was operating as expected. In the laboratory, a control sample of known analyte concentration, sometimes called a “quality control” sample or “QC” sample, is analyzed like a patient sample. If the instrument produces a result within an acceptable tolerance of the target concentration, then the measurement system is assumed to be stable and operating as expected. The final result from measurement system is the sum of all factors affecting the result including the instrument, reagent, operator and environment.
Control samples have a number of advantages and disadvantages. A control sample is a sample with known concentration that consists of a matrix similar to a patient sample, like plasma, serum or urine. Unfortunately, not all analytes are stable in a biological matrix, like glucose in whole blood or blood gases. So, preservatives and other stabilizers must be added to control samples to ensure the analyte recovery and test results are stable over time. The additives that stabilize control samples can change the manner in which some instrumentation interacts with the specimen, such that control samples behave differently than patient samples in the same test. This non-commutability of control samples prevents their use as accuracy based materials in determining bias between instruments of different makes and manufacturers, unless the sample is certified commutable and accuracy-based. However, stabilized control samples do offer a target range for analytes specific to make and model of measurment system that allow their use in determining ongoing stability of laboratory instrumentation. Control samples can be analyzed each day of testing (or more frequently for high volume testing) and if the test recovers the expected target results, then the laboratory staff know that the system is stable and patient results are acceptable.
Unfortunately, when control samples fail to recover expected results, something has failed in the testing process and the laboratory must troubleshoot the source of failure and correct it before patient testing can resume. Troubleshooting will work if testing occurs in batches of specimens where results can be held until control results (analyzed with each batch of specimens) are examined and compared to expected target concentrations. If the control results are acceptable, then the patient results can be released. This type of batch analysis can work for low volume patient testing where test results may not be needed on an immediate basis by the physician. With high volume automation and stat testing, patient results are continuously released using autoverification rules based on periodic analysis of control samples interspersed with patient specimens. Should a control sample fail to recover expected results, the laboratory must stop patient testing, correct the problem, then reanalyze patient specimens back to when the system was reporting acceptable results. Repeat testing can be expensive for both labor and reagent costs. Once the problem is found and corrected, some results may need to be corrected, and this can lead to physicians questioning the quality of the laboratory.
Control samples, however, are a good means of detecting systematic errors, but perform poorly in detecting random errors. Systematic errors are those that affect every test in a constant and predictable manner. Many instruments utilize bottles of liquid reagent to perform hundreds of tests. These reagents may stay on an instrument for a number of hours to days, so analysis of control samples periodically or with each day of testing confirms that the reagent is still viable. Analysis of control samples does a good job at detecting errors that affect control samples the same as patient samples, like reagent deterioration, errors in reagent preparation, improper storage, incorrect operator technique, and wrong pipette or calibration settings. However, if a single patient sample should have a clot or drug that interferes with the reagent, the analysis of control samples will not be impacted and cannot detect the error. Such random errors affect individual samples in an unpredictable fashion, like clots, bubbles and interfering drugs and substances. Analysis of control samples does a poor job at detecting random errors.
Optimally, the laboratory needs control processes that function more than periodically. The laboratory needs to get to fully automated analyzers that prevent errors upfront and provide assured quality with every specimen.
Newer instrumentation has a variety of control processes built-in the device. There are analyzers with electronic controls and system checks performed automatically to detect electronic operation as well as reagent function. Blood gas analyzers, like the Instrumentation Laboratories GEM and Radiometer's ABL80, detect baseline sensor signals before and after each specimen. If each sensor does not display a characteristic signal, the flow cells may be blocked by a clot or bubble, and the system can initiate corrective action flushing, back-flushing the flow cell until the sensors return to expected operation. If not, the analyzer can shut down individual sensors or the entire sensor array until manual staff intervention. These processes occur with each sample to detect certain types of errors, specimen clots and bubbles that may block specific sensors specimen flow path. Other types of control processes may be engineered by the manufacturer into each test card or strip of unit-use testing devices, like the positive/negative control area on stool guaiac cards, and the control line on pregnancy, rapid strep and drug tests. These built-in controls test the viability of the reagents on the test (storage and expiration), adequate sample application, absence of interfering substances (clots, viscous urines, and drug adulterants), as well as timing and appropriate visual interpretation of test results by the operator with each test. Still other types of control processes may include barcoding of reagents to prevent use past the expiration date, device lockouts that prevent operation if control samples have not been analyzed or fail to recover expected target concentration, security codes to prevent inadvertent changes to instrument settings, and disposable pipette tips to prevent sample carryover. There are thus a variety of control processes available on different models of laboratory instrumentation, and each process is intended to reduce the risk of specific types of errors.
No single control process can therefore cover all devices and types of errors. Laboratory devices differ in design, technology, function and intended use. Some devices have internal checks which are performed automatically with every specimen, while the possibility of other errors is reduced through engineering by the manufacturer into the device. For example, the barcoding of expiration date and lot number on each bottle of reagent prevents use of reagents past their stamped expiration date and the requirement of entering lot number into the instrument reduces the possibility of using a lot number whose performance has not been previously verified. Barcoding of expiration date and lot number, however, does not verify the stability of reagents once they are opened on the instrument. Periodic analysis of control samples may better determine open bottle stability. So, the historical analysis of control samples has provided labs with some degree of assurance and analysis of control samples over the past several decades and will continue to plan an important role in future quality assurance in combination with the built-in controls and on-board chemical and biological control processes found in newer devices.
Developing a quality plan surrounding a laboratory device requires a partnership between the manufacturer and the laboratory. 8 Information about the function of instrument control processes is needed from the manufacturer to increase the user's understanding of overall device quality assurance requirements and so informed decisions can be made regarding which control processes are suitable for certain errors in the laboratory setting. 8 Some sources of error may be detected automatically by the device and prevented, while others may require the laboratory to do something, like analyze control samples periodically and on receipt of reagent shipments, or perform specific maintenance. Clear communication of potential sources of error and delineation of laboratory and manufacturer roles for how to detect and prevent errors is needed in order to develop a quality control plan.
The Clinical and Laboratory Standards Institute (CLSI) is developing a guideline; Laboratory Quality Control Based on Risk Management. This guideline, EP23, describes good laboratory practice for developing a quality control plan based on manufacturer's risk mitigation information, applicable regulatory and accreditation requirements, and the individual healthcare and laboratory setting. Information collected about the instrument from the manufacturer, peer literature and other users of the product is combined with information about the individual healthcare and laboratory setting, and the unique regulatory and accreditation requirements and processed through a risk assessment to develop a laboratory specific quality control plan ( Figure 1 ). This plan is an optimized balance of control sample analysis combined with manufacturer engineered control processes in the instrument and laboratory implemented control processes to minimize risk of error and harm to a patient when using the instrument for laboratory testing. Once implemented, the QC plan is monitored for continued errors and physician complaints. When trends are apparent, the source of errors is investigated and this new information is processed through a new risk assessment to determine if changes to the QC plan are needed to maintain risk to a clinically acceptable level. This is the corrective action and continual improvement cycle ( Figure 1 ).
A risk assessment starts with identification of a potential risk or error (called hazard identification). Once identified, the probability and severity of harm are estimated. Take, for example, the risk of an untrained operator using a point-of-care testing device. The hazard is “operation by an untrained operator”. The probability of harm can be estimated as frequent=once per week, probable=once per month, or remote=once per year or greater. The severity of harm if the device is run by an untrained operator is unknown, but could be serious=injury or impairment requiring medical intervention, rather than negligible=inconvenience/discomfort or minor=temporary injury or impairment not requiring medical treatment. The risk can be estimated by combining probability of harm with severity of harm in a simple 3×3 matrix to evaluate the clinical acceptability of the risk ( Table 1 ). More detailed 4×4, 5×5, or even 10×10 matrices can be developed to estimate risk, but these necessarily require more granular determinations of the exact probability and severity of harm to the patient. In risk management literature, the ability to detect an error, detectability, is also factored into the estimate, but for simplicity, detectability can be assumed to be zero or worse case scenario. Thus, risk in our simple example will depend only on prevention of the error or severity of harm if an error occurs.
Risk Acceptability Matrix
In our example, the risk of an untrained operator using the device will depend on the setting. In a central laboratory where the test is performed by medical technologists, all who are well supervised and experienced, the probability of this hazard is remote. However, in a point-of-care setting where operation is by a variety of clinical staff, possibly in a shared department location where there is little supervision, anyone can walk up to the device and attempt to run a test. In this setting the risk of an untrained operator performing testing is much greater (probable to frequent probability of harm). In both settings, if an error occurs from operation by an untrained operator, the harm could be serious to the patient (depending on the test and how the test is used in medical management). Combining the probability and severity of harm, we can estimate the risk in a laboratory setting to be clinically acceptable, but in the point-of-care setting risk is unacceptable and additional control measures will be needed to reduce the risk ( Table 1 ).
Now, consider an instrument that has operator lockout features where the operator must enter their identification before the instrument will unlock and allow testing. If only operator identifications on a list of trained operators can unlock the instrument, the probability of harm may be reduced to probable or even remote, and thus the risk of using such a device with operator lockout features is now clinically acceptable. This example demonstrates how a manufacturer engineered process, like operator lockout, can reduce the risk of certain errors to improve the quality of test results.
This risk assessment process is repeated for each risk or potential for error identified through weak steps in the process map. If the risk of error from manufacturer recommended and engineered control processes is not clinically acceptable, then additional control processes must be implemented by the laboratory to reduce the risk to a clinically acceptable level. The sum of all risks identified and control processes to mitigate those risks (manufacturer provided and laboratory implemented) becomes the laboratory's QC plan specific to this device and laboratory setting. This plan is then checked against regulatory/accreditation requirements to ensure conformance with recommendations and signed by the laboratory director as the QC plan for that instrument. A single QC plan may cover multiple tests on the same instrument or refer to multiple instruments of the same make/model within an institution depending on the clinical application of the specific test results and availability of manufacturer control processes on the device.
Once implemented, the QC plan is monitored for continuous improvement. Physician complaints, instrument failures, or increasing error trends warrant investigation, corrective action and a new risk assessment. The laboratory should ask if the cause of the error is a new risk/hazard not previously considered, or greater probability of error or severity of harm than estimated in the initial risk assessment. This new information can now be factored into the risk analysis to determine if current control processes are adequate to reduce risk to a clinically acceptable level or if additional control processes are required. In this manner, the laboratory's QC plan defines a strategy for continuous improvement and sets benchmarks for monitoring the effectiveness of the QC plan through the frequency of complaints, instrument failures and trends in error rates. The CLSI EP23 document describing how to develop laboratory QC plans based on risk management is currently in the committee voting stages towards publication as an approved guideline.
Risk management is an industrial process for managing the potential for error, and although the terminology may be unfamiliar, the clinical laboratory performs a variety of risk management activities in day-to-day operation. The CLSI EP23 guideline simply formalizes the process. Newer laboratory instrumentation and point-of-care testing devices incorporate a number of control processes, some that rely on traditional analysis of control samples, and others engineered into the device to check, monitor or otherwise control specific aspects of the instrument operation. Risk management is not a means to reduce or eliminate the frequency of analyzing control samples, since laboratories must minimally meet manufacturer recommendations and accreditation agency regulations. Rather risk management helps laboratories find the optimal balance between traditional quality control (the analysis of control samples) and other control processes such that each risk in operating the instrument is rationalized with a control process to reduce that risk. The sum of all control processes represents the laboratory's QC plan, a plan that is scientifically supported by the risk assessment process. Once implemented the effectiveness of the QC plan is monitored through trends in error rates, and when issues are noted, corrective action is taken, risk is reassessed, and the plan is modified as needed to maintain risk to a clinically acceptable level. In this manner, risk management promotes continuous quality improvement. CLSI EP23 thus translates the industrial principles of risk management for practical use in the clinical laboratory, and will be a useful in support of the laboratory's overall quality management systems.
The results of observational studies using real-world data, known as real-world evidence, have gradually started to be used in drug development and decision-making by policymakers. A good quality management system—a comprehensive system of process, data, and documentation to ensure quality—is important in obtaining real-world evidence. A risk-based approach is a common quality management system used in interventional studies. We used a quality management system and risk-based approach in an observational study on a designated intractable disease. Our multidisciplinary team assessed the risks of the real-world data study comprehensively and systematically. When using real-world data and evidence to support regulatory decisions, both the quality of the database and the validity of the outcome are important. We followed the seven steps of the risk-based approach for both database selection and research planning. We scored the risk of two candidate databases and chose the Japanese National Database of designated intractable diseases for this study. We also conducted a quantitative assessment of risks associated with research planning. After prioritizing the risks, we revised the research plan and outcomes to reflect the risk-based approach. We concluded that implementing a risk-based approach is feasible for an observational study using real-world data. Evaluating both database selection and research planning is important. A risk-based approach can be essential to obtain robust real-world evidence.
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Strategies to address current challenges in real-world evidence generation in japan, data availability.
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We thank Melissa Leffler, MBA, from Edanz (https://jp.edanz.com/ac) for editing a draft of this manuscript.
This work is supported by the Japan Agency for Medical Research and Development (JP22yk0126017 and JP23yk0126027) [ 11 ]. Figs. 1 , 3 , 4 , 5 , 6 were translated and amended from the report to the funder [ 11 ]. We thank Melissa Leffler, MBA, from Edanz ( https://jp.edanz.com/ac ) for editing a draft of this manuscript.
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YCU Center for Novel and Exploratory Clinical Trials, Yokohama City University Hospital, 1-1- 1 Fukuura, Yokohama, Kanagawa, Japan
Reo Tanoshima, Naoko Inagaki, Manabu Nitta, Soichiro Sue, Tatsuya Haze, Kotaro Senuki, Chihiro Sano, Hajime Takase, Akito Nozaki, Kozo Okada, Atsushi Kawaguchi, Yusuke Kobayashi & Etsuko Miyagi
Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan
Reo Tanoshima, Sayuri Shimizu & Makoto Kaneko
Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
Naoko Inagaki, Soichiro Sue & Shin Maeda
Department of Cardiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
Manabu Nitta
Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan
Tatsuya Haze
Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
Hajime Takase
Gastroenterological Center, Yokohama City University Medical Center, Yokohama, Japan
Akito Nozaki
Division of Cardiology, Yokohama City University Medical Center, Yokohama, Japan
Medical Care Bureau, Yokohama City, Yokohama, Japan
Kohei Ohyama
Department of Pediatrics, St. Marianna University, Kawasaki, Japan
Atsushi Kawaguchi
Department of Anesthesia, Yokohama City University, Yokohama, Japan
CHU Sainte Justine Research Centre, University of Montreal, Montreal, Canada
Department of Clinical Data Science, Clinical Research and Education Promotion Division, National Center of Neurology and Psychiatry, Tokyo, Japan
NCD Epidemiology Research Center (NERC), Shiga University of Medical Science, Shiga, Japan
Yuichiro Yano
Department of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan
Kitasato Clinical Research Center, School of Medicine, Kitasato University, Sagamihara, Japan
Yuji Kumagai
Department of Obstetrics and Gynecology, Yokohama City University Hospital, Yokohama, Japan
Etsuko Miyagi
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RT, NI, KS, and CS, designed the research. RT, NI, MN, S Sue, S Shimizu, TH, KS, CS, HT, MK, AN, K Okada, K Ohyama, AK, YK, HO, SM, YY, YK, EM participated in the discussion. RT wrote the initial manuscript. All authors read and confirmed the final version of the manuscript.
Correspondence to Reo Tanoshima .
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The authors have no competing interests regarding this work.
This project does not require ethical approval because it did not include any human participants.
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Tanoshima, R., Inagaki, N., Nitta, M. et al. Using a Quality Management System and Risk-based Approach in Observational Studies to Obtain Robust Real-World Evidence. Ther Innov Regul Sci (2024). https://doi.org/10.1007/s43441-024-00695-6
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Published : 03 September 2024
DOI : https://doi.org/10.1007/s43441-024-00695-6
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To what extent are risk management practices providing insights for strategic advantage?
To generate higher performance returns, organizations must be willing to take risks. That suggests insights about risks should be important when designing and executing strategies.
In the The State of Risk Oversight Report , which we publish annually in collaboration with AICPA, we ask business executives about the extent to which their organization’s risk management processes are providing strategic advantage—with a particular interest in the extent to which risk considerations are factored into important strategic decisions.
The table below suggests 5 questions that risk leaders can use to prompt conversations with executives and boards about how to better leverage risk management processes as a strategic tool to provide a unique competitive advantage.
1. | To what extent is the output of our risk management process an important input to strategic planning? |
2. | What is the level of interaction and engagement between our risk management leaders and those making important strategic decisions? Are all the right people included in our strategic planning process? |
3. | How clear is the mapping of our enterprise’s top risks to our key business drivers and strategic initiatives? Which drivers or initiatives are most exposed to key risks? What risk might impact multiple strategic objectives? |
4. | What could be done to improve our strategic planning process to more formally embed risk considerations into our strategic planning and decision-making? |
5. | When budget allocation decisions are made across the organization, to what extent are differences in risk conditions informing our resourcing decisions? |
We’ve created three downloadable tools to help risk leaders integrate risk considerations into your organization’s planning processes.
Click on the resource name to view a detailed page where you can download the tool or template.
Erm tool: using strategic risk analysis to identify potential risks to strategic initiatives, erm tool: embedding risk considerations in strategic planning and budgeting, maturity of risk management practices.
Is audit in practice: managing the practical risk assessment.
Jane smiled as she signed the contract—it had been a long time coming. Data availability and data integrity for her organization’s advocacy work had always been an issue. Available public information was controlled by the entities her organization was trying to monitor. Detail was lacking, timeliness was nonexistent. Now their watchdog group would change all that by developing their own data analytics tool for fact-based evidence that could be acted upon. Not that Jane was ready to toast the occasion yet. Although the new contract for a vendor-developed custom data tool would bring the organization from conversation to action, she knew the project posed risk to the tiny advocacy group. Did they have the know-how to pull this off, even with a savvy software vendor? What if the budget projections were off and more capital was needed? And, what if, after all the data collection, the results were inconclusive, or the data integrity was suspect? How would they even know how to detect errors? Jane knew they had taken a huge leap and a risk that everyone was ready to accept, but did they all understand what that risk really was? She thought of the old saying, “be careful what you wish for.”
ISACA ® professionals know that all risk is not the same. Industry dynamics, enterprise culture, and department risk tolerance all impact what an organization is willing to do. But risk is more than a willingness to take something on. Risk needs to be reviewed and scored based on the organization’s objectives, while fact checking the objectives against market trends, regulatory requirements, and more. So how can a risk professional help someone like Jane?
Successful risk management is all about operational acceptance and feasibility. Industry culture plays a significant role in determining risk priorities, and having a structured risk assessment approach is crucial, regardless of industry or organization size. That said, the structure must be tailored to suit the audience. Oftentimes, the leadership teams inadvertently make risk decisions without careful deliberation on benefits and consequences. To an IT professional familiar with the rigor of methodical development, business continuity, and other technology disciplines, it seems inconceivable that planning based on prioritized value and need might be overlooked, but it often is. The standard portfolio of risk categories must be outlined and assigned ratings of importance, including these categories:
It seems like a lot of work to research and discuss up front, which is why many organizations do a less than thorough job of building a risk framework. Business ideas are raised, teams get excited, and risk isn’t reviewed. Yet doing nothing to assess risk is the biggest risk of all.
Overcoming barriers to successful risk management.
ISACA professionals can help organizations overcome the major barriers to risk profiling by providing and executing a risk framework that’s feasible and practical for each organization. A feasible framework is one that the organization can execute because it has the tools and resources to perform the risk evaluation. A practical framework is one that provides enough value to the organization to merit using resources and tools versus using them on something else. Using resources, whether budget or manpower that is best used elsewhere, only devalues the benefit of the risk assessment. It is an extra step, but understanding what else is going on, what money can be spent, and what the organization’s expectations are will help right-size the risk framework used. The example of Jane’s advocacy group shows what must be considered by the ISACA professional to ensure that the risk assessment itself is valued and prioritized. Taking the following steps for Jane’s not-for-profit can help:
Jane did end up hiring a risk professional after signing the data analytics contract. Practically speaking, she knew this was a huge opportunity for her organization to become a trusted advisor to the communities impacted by the big business Jane’s organization monitored. Success required a solid financial assessment, especially for add-on features and functionality they might want. Data integrity was paramount, so a thorough review of security and operational risk were also key priorities for project success. All information used was public, and her organization was a small advocacy group, but the organization they monitored was regulated and Jane wasn’t sure how to tackle compliance risk. It made sense to bring in a knowledgeable professional to not only educate the team and vendor on risk management, but also to help operationalize a risk plan, with appropriate controls and auditing. The result was that risk was prioritized adequately from the start and corrective action was taken in a timely manner for the high priority areas. It was worth the risk of taking on a risk consultant.
Is Conservation Manager for Friends of Belle Isle Marsh. She works with environmental organizations, the community, and with developers to promote compliance for a green and resilient environment for the only remaining salt marsh in the city of Boston, Massachusetts. Her work also involves collaboration with municipal and state officials to move legislation forward with the innovation that green technology provides. Baxter is pleased that technology has allowed her to reinvent her career and continue learning at every step. She had the privilege of learning technology and managing Fortune 100 client relationships at AT&T. Baxter then applied her expertise as an IT operations director at Johnson & Johnson before moving to compliance and risk management roles at AIG and State Street Corporation. Baxter continues to accept select consulting assignments through her business What’s the Risk LLC, focusing on environmental risk management, inspection, and compliance enforcement. Baxter is pleased to serve as Operations Officer on the ISACA New England Chapter and is a board member on the Nantucket Lightship LV-112 Museum.
What is a risk assessment, essential steps for conducting a risk assessment, best practices for risk assessments, common risk assessment mistakes to avoid, create risk assessment checklists with workflow automation software.
Risk assessment lies at the heart of a safe and efficient workplace. From fire hazards to vulnerabilities in network security and machine malfunctions, risks are present in every industry–and they can disrupt operations, harm people, and cost money if not identified and managed.
If you’ve landed here, you’re likely searching for ways to tackle these potential hazards in your organization. A thorough risk assessment can reveal these dangers, allowing you to take action before they become expensive problems.
When managers conduct risk assessments regularly, they can pinpoint various risks and implement safety measures to address them promptly. This ensures the well-being of everyone involved, enhances productivity, and maintains compliance with safety regulations. Taking this proactive approach is not just beneficial—it’s essential for the success of any organization.
Dive into our guide below to learn all about how to conduct risk assessments , including essential steps and resources.
Risk assessments are essential for ensuring occupational health and safety in a company. They help prevent accidents and occupational diseases .
In any risk assessment, you would ask yourself if there’s anything in the environment, whether it’s an object, situation, or task, that could pose a danger to the health and wellbeing of workers or anyone else involved. If so, what exactly are the hazards , and how severe are the risks?
Employers are required to perform risk assessments as per various laws, ordinances, and regulations , including the Occupational Safety and Health Act , the Ordinance on Industrial Safety and Health , and the Ordinance on Hazardous Substances . Since different companies face different conditions, these rules don’t define exactly how these procedures should look.
However, a risk assessment must always be complete and factually accurate. It involves conducting standardized inspections, assessing the severity and likelihood of incidents , and implementing control measures to reduce risks. After the assessment, businesses create a risk matrix to evaluate the likelihood of and assign risk ratings to hazards.
A thorough risk assessment allows you to trace risks back to their source and address the root causes of issues. It’s important to note that risk assessments differ from Job Safety Analyses (JSA), and sometimes both are necessary for comprehensive safety management.
Based on the Federal Institute for Occupational Safety and Health (BAuA), a risk assessment features these essential steps. We’ve added some practical tips for each:
First, you need to get a clear picture of your workplace. Start by creating a detailed map of your workplace and marking all different areas like offices, production lines, storage spaces, and maintenance zones.
Next, list out the specific activities that occur in each area. For example, in a manufacturing plant, the production line might involve tasks like assembly, quality control, and packaging, while the storage area might involve loading, unloading, and inventory management. By breaking down the activities, you can understand the potential risks associated with each area.
This process allows you to see the big picture and identify zones that might need extra attention because of the tasks performed there.
The next step is to evaluate the severity and likelihood of each hazard that you’ve found. This means looking at how serious the potential harm could be and how likely it is to happen.
Start by asking questions like, “ What are the potential negative outcomes ?” and “What is the extent of the possible harm?” If you’ve identified a slippery floor as a hazard, consider the worst-case scenario—someone could slip, fall, and get injured.
Next, think about how likely each hazard is to occur. This involves looking at past incidents, near-misses, and any existing safety measures. If that slippery floor is in a high-traffic area and has caused falls before, the likelihood is pretty high. On the other hand, if it’s in a rarely used storage room, the risk might be lower.
Combining the severity and likelihood gives you a clearer picture of which hazards need immediate attention and which ones can be monitored over time.
Once you’ve evaluated each hazard, rank them to determine which ones are the most critical. This way, you can focus right away on the issues that could have the greatest impact, then work your way through the list of hazards.
To prioritize risks, you can use tools like risk matrices or risk scoring systems.
A risk matrix is a common tool that plots the severity of harm against the likelihood of occurrence. It’s essentially a grid where one axis represents the severity of the hazard (ranging from minor to catastrophic) and the other axis represents the likelihood of the hazard occurring (ranging from rare to almost certain).
You can then categorize levels such as low, medium, high, or critical. A high-severity hazard with a high likelihood of occurrence would be considered a critical risk and should be addressed immediately.
Another option is a risk scoring system , where you assign a severity rating and a likelihood rating for each hazard. You’ll then multiply these to produce a risk score so you can rank the hazards. If a hazard has a severity score of 5 (on a scale of 1 to 5) and a likelihood score of 4, the risk score would be 20. A higher score means it’s a higher priority risk that needs immediate action.
Now that you’ve prioritized the risks, it’s time to figure out how to tackle them. The goal here is to either reduce the severity and likelihood of the risks or eliminate them altogether.
Start by brainstorming practical solutions for each high-priority hazard. Here are a few examples:
It’s also a good idea to involve your team in this process. Employees often have valuable insights and practical suggestions based on their daily experiences. They might point out simple fixes that you hadn’t considered or highlight areas that need more attention.
Once you’ve identified the corrective measures, document them clearly and assign responsibilities for their implementation. Everyone involved should know their responsibilities and understand the steps they need to take. Set deadlines and follow up to ensure that the actions are carried out effectively.
After implementing corrective measures, you should check if the actions taken are actually reducing or eliminating the identified risks . Conduct follow-up inspections and get feedback from employees to see if the changes have made a noticeable difference. If you provided new safety training, assess whether employees are applying what they’ve learned in their daily tasks.
Regularly reviewing and updating your risk assessments is equally important. The work environment and activities can change over time, introducing new hazards or altering existing ones. Schedule periodic reviews of your risk assessments so they remain current and relevant. You might revisit areas where changes have occurred, such as new equipment installations.
There are many steps involved in a risk assessment, and following the best practices below will make it much more effective. Your risk assessments will be smoother if you:
Risk assessments are prone to certain errors. Inspectors and businesses frequently make three mistakes when assessing risks and hazards:
In order to keep track of hazards, risks, control measures, and corrective actions properly, you’ll need a good record-keeping system. Documenting your findings helps you improve and is necessary to meet legal obligations.
Instead of writing pen-and-paper risk assessment checklists, save yourself time and increase the utility of your inspections with workflow automation software like Lumiform. By digitizing inspection checklists so they can be used again and again, and creating your own custom checklists to reflect the unique risks present in your company, you’ll work more efficiently and have an easier time developing improvements.
Lumiform’s workflow automation platform:
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Risk management is a continuous process to identify, assess (evaluate), control, and monitor risks. The risk assessment components of the overall risk management process are: ... There are various and multiple risks involved in performing laboratory testing. The risk assessment should evaluate each risk against a standard set of criteria so ...
Since then, there has been much focus on this subject. We authors aimed to develop a practical tool for risk management in a clinical laboratory that contains five major cyclical steps: risk identification, quantification, prioritization, mitigation, and surveillance. The method for risk identification was based on a questionnaire that was ...
A biosafety risk assessment should adhere to a structured and repeatable process and should follow the five-step technical approach described and illustrated below. Factors that affect the likelihood of the biosafety risk are captured in the first step of the risk assessment process, ("Define the situation"). Figure 6.
assessment that maps onto the scientific method, melding with the process . researchers already use to answer scientific questions. This tool allows researchers to systematically identify and control . hazards to reduce risk of injuries and incidents. Conduct a risk . assessment prior to conducting an experiment for the first time. The risk ...
Risk management can be (1) a project triggered by an occurrence or finding, (2) a proactive project to evaluate potential weaknesses in a new, revised, or complex processes or (3) a continuous assessment based on daily events and observation of what is happening in the laboratory. 3. The risk management process typically involves four key stages:
A key element of planning an experiment is assessing the hazards and potential risks associated with the chemicals and laboratory operations to be used. This chapter provides a practical guide for the trained laboratory personnel engaged in these activities. Section 4.B introduces the sources of information for data on toxic, flammable, reactive, and explosive chemical substances. Section 4.C ...
This course is approved for 1.0 contact hour (s) of P.A.C.E.® credit. P.A.C.E.® Course Number: 288-006-23. This basic-level eLearning course provides details on applying risk management principles and briefly describes related practices to emphasize the importance of risk management in laboratory settings. Topics covered include risk ...
Risk management guidelines recommend that laboratories play a proactive role in minimizing the potential for errors by developing individualized QCPs to address the specific risks encountered with laboratory analysis. Laboratories should map their testing process to identify weaknesses at each testing step.
Overview. The WHO Laboratory Biosafety Manual (LBM) has been in broad use at all levels of clinical and public health laboratories, and other biomedical sectors globally, serving as a de facto global standard that presents best practices and sets trends in biosafety. The LBM4 suite consists of one core document and 7 subject-specific monographs ...
Risk assessment - overall process comprising a risk analysis and a risk evaluation. Risk estimation - process used to assign values to the probability of occurrence of harm and the severity of that harm. Risk evaluation - process of comparing the estimated risk against given risk criteria to determine the acceptability of the risk:
Overview of the Risk Assessment Process. In general, risk assessments can be broken down into Steps 1-2 in the !gure above. The risk assessment should include considerations about the hazards (e.g., biological agent), the speci!c processes and procedures, existing control measures, the facility and testing environment, and the competency of the ...
Simply stated, risk management includes: Risk identification: identifying potential errors; Risk assessment: evaluating errors to determine their impact on patient test results; and. Risk mitigation: controlling errors in such a way that residual risk is manageable. This article will review the first two phases of this process—risk ...
egins with identifying hazards. A risk assessment tool is one practical approach recommended to identify hazards and ways. to reduce or eliminate hazards. It focuses on the relationship between the researcher, the experiment, the. ools, and the work environment. Ideally, after you identify uncontrolled hazards, you will take steps to eliminate ...
Estimate likelihood of hazards, dangers or threats occurring. Determine severity or seriousness of hazards, dangers or threats. Combine likelihood and severity to obtain a risk result; Assess risk, a value judgement against target to decide acceptability; Make improvements to system, process, operation, or activity to achieve an acceptable risk.
The process of risk management based on the ISO 31000 standard is described, the options for treatment and the techniques that can be applied in the risk management process based on the latest ISO 31010 standard are grouped and indicated. ... After completing the risk assessment stage, the laboratory is asked to select an appropriate treatment ...
Risk Assessment: a risk assessment an action or series of actions taken to recognize or identify hazards and to measure the risk of probability that something will happen because of that hazard. The severities of the consequences are also taken into account, allowing for assessment of if enough precautions have been taken or more are necessary.
The goal of any risk management process is to iden-tify, evaluate, address, and reduce the risk to an acceptable level [13]. According to Dikmen et al. [14], risk manage-ment involves identifying sources of uncertainty (risk iden-tification), assessing the consequences of uncertain events/ conditions (risk analysis), thus creating response ...
Risk Assessment & Risk Management. The Laboratory Supervisor/Principal Investigator is responsible for performing the first assessment of risk for biohazards handled in the laboratory. This is important as those handling biohazards must be aware of the risks involved in the work and also understand why the control measures have been implemented.
Overview of the Risk Assessment Process In general, risk assessments can be broken down into Steps 1-2 in the figure above. The risk assessment should include considerations about the hazards (e.g., biological agent), the specific processes and procedures, existing control measures, the facility and testing environment, and the competency of ...
Lab safety: Risk assessment. Provides chemical safety information resources and search strategies for students, faculty, and staff working in a lab. ... (EI) comes an invaluable book that puts the focus on a specific qualitative risk management methodology - bow tie barrier analysis. The book contains practical advice for conducting an ...
Use this table to score your hazard or activity's risk while performing a risk assessment. Use 'L' for low, 'M' for medium, 'H' for high when describing your risk in your Risk Assessment Tool. ty Table 2: This table defines what a low, medium and high severity risk is based on risk to people, environment, operations, and reputation.
A risk assessment determines the likelihood, consequences and tolerances of possible incidents. "Risk assessment is an inherent part of a broader risk management strategy to introduce control measures to eliminate or reduce any potential risk- related consequences." 1 The main purpose of risk assessment is to avoid negative consequences related to risk or to evaluate possible opportunities.
Understanding weaknesses in the testing process is a first step to developing a quality control plan based on risk management. Laboratories should create a process map that outlines all the steps of the testing process from physician order to reporting the result. A process map basically follows the path of the sample from the patient through ...
The results of observational studies using real-world data, known as real-world evidence, have gradually started to be used in drug development and decision-making by policymakers. A good quality management system—a comprehensive system of process, data, and documentation to ensure quality—is important in obtaining real-world evidence. A risk-based approach is a common quality management ...
The current approach to management relies on identifying the cyst type and conducting a multimodal assessment of the risk of cancer, an assessment that is mostly noninvasive, with selective use of ...
Discover insights on how integrating risk management into strategic decision-making can provide a competitive advantage. The 2024 State of Risk Oversight Report reveals that less than half of organizations fully consider risk exposures when evaluating strategic initiatives. Learn key discussion points for executives and boards to enhance risk management's role in driving strategic success.
Objective: To identify the risk factors contributing to cerebral microbleeds (CMBs), analyze the correlation between the quantity and distribution of CMBs and overall cognitive performance, including specific cognitive domains in patients, and investigate the underlying mechanisms by which CMBs impact cognitive function.Methods: Patients diagnosed with cerebral small vessel disease were ...
Successful risk management is all about operational acceptance and feasibility. Industry culture plays a significant role in determining risk priorities, and having a structured risk assessment approach is crucial, regardless of industry or organization size. That said, the structure must be tailored to suit the audience.
Project risk management is a versatile process that can be tailored to fit various industries, each with its unique challenges and requirements. Here's how it functions across different sectors: Construction and technology. In construction, risk management focuses on identifying potential delays, cost overruns, and safety hazards.
A thorough risk assessment allows you to trace risks back to their source and address the root causes of issues. It's important to note that risk assessments differ from Job Safety Analyses (JSA), and sometimes both are necessary for comprehensive safety management. Based on the Federal Institute for Occupational Safety and Health (BAuA), a ...