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Introduction to Risk Introduction to Risk Analysis in HealthcareAnalysis in Healthcare
Farrokh Alemi Ph.D.Farrokh Alemi Ph.D.Professor of Health Administration and PolicyProfessor of Health Administration and Policy
College of Health and Human Services, George Mason UniversityCollege of Health and Human Services, George Mason University4400 University Drive, Fairfax, Virginia 220304400 University Drive, Fairfax, Virginia 22030
703 993 1929 703 993 1929 [email protected]@gmu.edu
Scope of TopicScope of Topic
From introduction to probability From introduction to probability to probabilistic risk analysis to probabilistic risk analysis Subjective probability assessmentSubjective probability assessment Conditional likelihood ratiosConditional likelihood ratios Causal modelingCausal modeling Bayesian networksBayesian networks Time to the event assessmentTime to the event assessment
Tools you can use at work Tools you can use at work Logical reasoningLogical reasoning
Not More of the UsualNot More of the Usual
Teach by application Teach by application Continuous distributions not Continuous distributions not
coveredcovered Focus on contingency tablesFocus on contingency tables
Focus on ModelingFocus on Modeling
Rules of probability Rules of probability Causes and effectsCauses and effects
Model complex tasksModel complex tasks Estimated probabilitiesEstimated probabilities Check assumptionsCheck assumptions Ask “what if” questionsAsk “what if” questions
Other BooksOther Books
Feldman RM, Valdez-Flores C. Feldman RM, Valdez-Flores C. Applied Probability and Applied Probability and Stochastic ProcessesStochastic Processes
Hallenbeck W. Quantitative Risk Hallenbeck W. Quantitative Risk Analysis for Environmental and Analysis for Environmental and Occupational HealthOccupational Health
Bedford T, Cooke R. Bedford T, Cooke R. Probabilistic Risk Analysis: Probabilistic Risk Analysis: Foundations and MethodsFoundations and Methods
Cox LA. Risk Analysis: Cox LA. Risk Analysis: Foundations, Models and Foundations, Models and MethodsMethods
Why Do Risk Analysis?Why Do Risk Analysis?
Allocate resourcesAllocate resources ReduceReduce ManageManage InsureInsure
Provides an organization with Provides an organization with insightinsight
Why Probabilistic Analysis?Why Probabilistic Analysis?
To compare one risk against To compare one risk against anotheranother
Consistent method of Consistent method of aggregating risk of a sequence aggregating risk of a sequence of eventsof events
Why Probabilistic Analysis?Why Probabilistic Analysis?
To compare one risk against To compare one risk against anotheranother
Consistent method of Consistent method of aggregating risk of a sequence aggregating risk of a sequence of eventsof events
Criticism of PRACriticism of PRA
1.1. It It cannot be donecannot be done because because catastrophic events are rarecatastrophic events are rare
2.2. It is It is not practicalnot practical as it takes as it takes too much timetoo much time
3.3. It It should not be doneshould not be done because it misses creative because it misses creative new threats new threats
Criticism of PRACriticism of PRA
1.1. It It cannot be donecannot be done because because catastrophic events are rarecatastrophic events are rare
2.2. It is It is not practicalnot practical as it takes as it takes too much timetoo much time
3.3. It It should not be doneshould not be done because it misses creative because it misses creative new threats new threats
Criticism of PRACriticism of PRA
1.1. It It cannot be donecannot be done because because catastrophic events are rarecatastrophic events are rare
2.2. It is It is not practicalnot practical as it takes as it takes too much timetoo much time
3.3. It It should not be doneshould not be done because it misses creative because it misses creative new threats new threats
History in Aerospace IndustryHistory in Aerospace Industry
1967 Apollo flight loss1967 Apollo flight loss 1969 Probability of loss 1%1969 Probability of loss 1% 1983 probabilistic risk analysis 1983 probabilistic risk analysis
of shuttle flightsof shuttle flights NASA administrators abandon NASA administrators abandon
PRAPRA Later events proved accuracy of Later events proved accuracy of
analysisanalysis Common practiceCommon practice
History in Nuclear SafetyHistory in Nuclear Safety
Reactor Safety studyReactor Safety study Three Mile Island accidentThree Mile Island accident Probability of reactor melt downProbability of reactor melt down NRC manual for risk analysisNRC manual for risk analysis Assessment of other Assessment of other
catastrophic eventscatastrophic events
History in Natural DisastersHistory in Natural Disasters
Earthquake predictionsEarthquake predictions Floods and coastal designsFloods and coastal designs Environmental pollutionEnvironmental pollution Waste disposal and Waste disposal and
environmental healthenvironmental health
History in HealthcareHistory in Healthcare
Root causes of sentinel adverse Root causes of sentinel adverse eventsevents Typically not quantified riskTypically not quantified risk
Failure mode analysis of near Failure mode analysis of near catastrophic eventscatastrophic events Typically based on rank order of Typically based on rank order of
risksrisks New drug developmentNew drug development
History in TerrorismHistory in Terrorism
Cyber terrorism risksCyber terrorism risks Department of Homeland Department of Homeland
Security Critical Infrastructure Security Critical Infrastructure ProtectionProtection
Requirements Prior to StartRequirements Prior to Start
Algebra, not calculusAlgebra, not calculus Facile with numbers and countingFacile with numbers and counting Access to a software for Bayesian analysisAccess to a software for Bayesian analysis Software to make contingency tablesSoftware to make contingency tables No prior course in probabilityNo prior course in probability No course in statisticsNo course in statistics No computer programmingNo computer programming Some knowledge of health care systemsSome knowledge of health care systems Access to an organization to try out the Access to an organization to try out the
ideasideas
ExpectationsExpectations
Probabilistic analysisProbabilistic analysis Apply to a realistic problem Apply to a realistic problem No examsNo exams No other assignmentsNo other assignments
Pedagogical FeaturesPedagogical Features
Learn one, do one, teach one Learn one, do one, teach one assignments in class assignments in class
Question and answerQuestion and answer Take home messageTake home message Peer to peer commentsPeer to peer comments
Primary AudiencePrimary Audience
Graduate course on risk Graduate course on risk analysisanalysis
Professionals in the fieldProfessionals in the field
Secondary AudienceSecondary Audience
These lectures may also be of These lectures may also be of use to students of probability use to students of probability and causal modeling. and causal modeling.
Lecture OutlineLecture Outline
1.1. What is probability?What is probability?2.2. Probability distributionsProbability distributions3.3. Assessment of rare probabilitiesAssessment of rare probabilities4.4. Calculus of probabilityCalculus of probability5.5. Conditional independence Conditional independence 6.6. Causal modelingCausal modeling7.7. Case based learningCase based learning8.8. Validation of risk modelsValidation of risk models9.9. Examples Examples
Lecture OutlineLecture Outline
1.1. What is probability?What is probability?2.2. Probability distributionsProbability distributions3.3. Assessment of rare probabilitiesAssessment of rare probabilities4.4. Calculus of probabilityCalculus of probability5.5. Conditional independence Conditional independence 6.6. Causal modelingCausal modeling7.7. Case based learningCase based learning8.8. Validation of risk modelsValidation of risk models9.9. Examples Examples
Lecture OutlineLecture Outline
1.1. What is probability?What is probability?2.2. Probability distributionsProbability distributions3.3. Assessment of rare probabilitiesAssessment of rare probabilities4.4. Calculus of probabilityCalculus of probability5.5. Conditional independence Conditional independence 6.6. Causal modelingCausal modeling7.7. Case based learningCase based learning8.8. Validation of risk modelsValidation of risk models9.9. Examples Examples
Lecture OutlineLecture Outline
1.1. What is probability?What is probability?
2.2. Assessment of rare probabilitiesAssessment of rare probabilities
3.3. Calculus of probabilityCalculus of probability
4.4. Conditional independence Conditional independence
5.5. Causal modelingCausal modeling
6.6. Case based learningCase based learning
7.7. Validation of risk modelsValidation of risk models
8.8. Examples Examples
Lecture OutlineLecture Outline
1.1. What is probability?What is probability?
2.2. Assessment of rare probabilitiesAssessment of rare probabilities
3.3. Calculus of probabilityCalculus of probability
4.4. Conditional independence Conditional independence
5.5. Causal modelingCausal modeling
6.6. Case based learningCase based learning
7.7. Validation of risk modelsValidation of risk models
8.8. Examples Examples
Lecture OutlineLecture Outline
1.1. What is probability?What is probability?
2.2. Assessment of rare probabilitiesAssessment of rare probabilities
3.3. Calculus of probabilityCalculus of probability
4.4. Conditional independenceConditional independence
5.5. Causal modelingCausal modeling
6.6. Case based learningCase based learning
7.7. Validation of risk modelsValidation of risk models
8.8. Examples Examples
Lecture OutlineLecture Outline
1.1. What is probability?What is probability?
2.2. Assessment of rare probabilitiesAssessment of rare probabilities
3.3. Calculus of probabilityCalculus of probability
4.4. Conditional independence Conditional independence
5.5. Causal modelingCausal modeling
6.6. Case based learningCase based learning
7.7. Validation of risk modelsValidation of risk models
8.8. Examples Examples
Lecture OutlineLecture Outline
1.1. What is probability?What is probability?
2.2. Assessment of rare probabilitiesAssessment of rare probabilities
3.3. Calculus of probabilityCalculus of probability
4.4. Conditional independence Conditional independence
5.5. Causal modelingCausal modeling
6.6. Case based learningCase based learning
7.7. Validation of risk modelsValidation of risk models
8.8. Examples Examples
Lecture OutlineLecture Outline
1.1. What is probability?What is probability?
2.2. Assessment of rare probabilitiesAssessment of rare probabilities
3.3. Calculus of probabilityCalculus of probability
4.4. Conditional independence Conditional independence
5.5. Causal modelingCausal modeling
6.6. Case based learningCase based learning
7.7. Validation of risk modelsValidation of risk models
8.8. Examples Examples
Take Home LessonTake Home Lesson
Tools that are better than Tools that are better than comprehensive list of riskscomprehensive list of risks
What Do You Know?What Do You Know?
Why is probabilistic risk analysis Why is probabilistic risk analysis preferred to comprehensive lists preferred to comprehensive lists of vulnerabilities?of vulnerabilities?
What Do You Know?What Do You Know?
How is our approach to risk How is our approach to risk analysis different from other analysis different from other books on probability or on risk books on probability or on risk analysis?analysis?
What Do You Know?What Do You Know?
What is assumed and required What is assumed and required prior to start of these lectures?prior to start of these lectures?
What Do You Know?What Do You Know?
What is expected from you prior What is expected from you prior to end of this course?to end of this course?
Minute EvaluationsMinute Evaluations
Please use the course web site Please use the course web site to ask a question and rate this to ask a question and rate this lecturelecture