Cognitive Errors in Medicine Alireza Monajemi, MD-PhD Philosophy of Science & Technology Department IHCS.

Slides:



Advertisements
Similar presentations
Nursing Diagnosis: Definition
Advertisements

Ergonomics and Information Systems RESEARCH INSTITUTE FOR COMMUNICATION, INFORMATION PROCESSING, AND ERGONOMICS FGAN A Knowledge-based Human-Machine Interface.
Understanding Depth 0f knowledge
Engineering Event Investigation—The Role of Violations Presented by William L. Rankin, Ph.D. At the Human Factors Training in Aviation Maintenance Conference.
Errors in the diagnostic process Hierarchy of Qualities in Medicine Frequency of diagnostic Errors Judgment under Uncertainty: Heuristics and Biases The.
Chapter 4 How to Observe Children
Allyn & Bacon copyright Clinical Assessment.
Industrial Health & Safety
Modeling Human Reasoning About Meta-Information Presented By: Scott Langevin Jingsong Wang.
Ch 11 Cognitive Walkthroughs and Heuristic Evaluation Yonglei Tao School of Computing and Info Systems GVSU.
Human memory has two channels for processing information : visual & auditory Cognitive Theory How Do People Learn? Human memory has a limited capacity.
MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan1 Specialized Business Information Systems Chapter 11.
Principles of High Quality Assessment
Chapter 4 Cognitive Engineering HCI: Designing Effective Organizational Information Systems Dov Te’eni Jane M. Carey.
24 October 2002 ICAO NAM/CAR/SAM RUNWAY SAFETY/INCURSION CONFERENCE 1 Retrospective Human Factors Analysis of US Runway Incursions (Focus: Air Traffic.
RESEARCH FRAMEWORK Yulia Sofiatin Department of Epidemiology and Biostatistics 2012 YS 2011.
Midteram Overview SY DE 142 Midterm: Date: June 14, 2004 Time: 1:30 - 3:30pm Room: DC 1350 Aids Allowed: Text book: Wickens and Set Phasers on Stun Calculator.
1 Human information processing: Chapters 4-9 ReceptorsPerception Long-term memory Response selection Response execution Controlled system Working memory.
Human factors in Complex Aviation Systems Cognition and some related errors.
Topic 5 Understanding and learning from error. LEARNING OBJECTIVE Understand the nature of error and how health care can learn from error to improve patient.
Cognitive Model Denise Hashempour.
SLB /04/07 Thinking and Communicating “The Spiritual Life is Thinking!” (R.B. Thieme, Jr.)
 Knowledge Acquisition  Machine Learning. The transfer and transformation of potential problem solving expertise from some knowledge source to a program.
MODULE 23 COGNITION/THINKING. THINKING Thinking is a cognitive process in which the brain uses information from the senses, emotions, and memory to create.
11 C H A P T E R Artificial Intelligence and Expert Systems.
Ecological Interface Design
Cognitive Psychology: Thinking, Intelligence, and Language
1 Quality of Service  Quality of Service  Dropped connections  Unavailable websites  Network outages & Delays  Goal is to reduce user frustration.
© 2013 The McGraw-Hill Companies, Inc. All rights reserved. Thinking: Memory, Cognition, and Language Chapter 6.
SEG3120 User Interfaces Design and Implementation
Human – Computer Interaction
1 IE 590D Applied Ergonomics Lecture 26 – Ergonomics in Manufacturing & Automation Vincent G. Duffy Associate Prof. School of IE and ABE Thursday April.
Principles of Information Systems, Sixth Edition Specialized Business Information Systems Chapter 11.
Educational Objectives
Fundamentals of Information Systems, Second Edition 1 Specialized Business Information Systems.
Principles of Information Systems, Sixth Edition Specialized Business Information Systems Chapter 11.
For ABA Importance of Individual Subjects Enables applied behavior analysts to discover and refine effective interventions for socially significant behaviors.
Copyright Catherine M. Burns
산업경영공학과 IMEN 315 인간공학 7. Decision Making DEFINITION OF DECISION MAKING qa decision-making task (a)number of alternatives (b)information available to the.
Understanding Users Cognition & Cognitive Frameworks
Decision Making Chapter 7. Definition of Decision Making Characteristics of decision making: a. Selecting a choice from a number of options b. Some information.
Human Abilities 2 How do people think? 1. Agenda Memory Cognitive Processes – Implications Recap 2.
Awalin Sopan, Catherine Plaisant, Seth Powsner, Ben Shneiderman Human-Computer Interaction Lab & Department of Computer Science, University of Maryland.
Cognitive Science and Biomedical Informatics Department of Computer Sciences ALMAAREFA COLLEGES.
U SER I NTERFACE L ABORATORY Situation Awareness a state of knowledge, from the processes used to achieve that state (situation assessment) not encompass.
SESSION FIVE: MOTIVATION INSTRUCTION. MOTIVATION internal state or condition that activates behavior and gives it direction; *desire or want that energizes.
Development of Expertise. Expertise We are very good (perhaps even expert) at many things: - driving - reading - writing - talking What are some other.
Chapter 7 Making Better Decisions Management 1e 7- 2 Management 1e Learning Objectives  Describe the seven steps of the decision making.
Ergonomics/Human Integrated Systems (Project 02)
TRAINING PACKAGE The User Action Framework Reliability Study July 1999.
Reliable Process Design LS3 29 th - 30 th September.
Decision Making ET 305, Spring 2016
Interventions for Cognitive Dysfunction of Persons with Traumatic Brain Injuries OT 460A.
Copyright 2006 John Wiley & Sons, Inc Chapter 5 – Cognitive Engineering HCI: Developing Effective Organizational Information Systems Dov Te’eni Jane Carey.
Verification vs. Validation Verification: "Are we building the product right?" The software should conform to its specification.The software should conform.
PST Human Factors Jan Shaw Manchester Royal Infirmary CMFT.
1 Design and evaluation methods: Objectives n Design life cycle: HF input and neglect n Levels of system design: Going beyond the interface n Sources of.
Information Aids for Diagnosis Tasks Based on Operators’ Strategies 김 종 현.
Interventions for Cognitive Dysfunction OT 460A
Human error A. H. Mehrparvar, MD Occupational Medicine department
Visiting human errors in IR systems from decision making perspective
Strategic Team Decision Making Florida Reliability Coordinating
Human Error Definition Broad Classes of Human Errors
Human Errors and the Error Abstraction Process
CITE THIS CONTENT: PETER YARBROUGH, “DIAGNOSTIC ERRORS”, ACCELERATE UNIVERSITY OF UTAH HEALTH CURRICULUM, SEPTEMBER 14, AVAILABLE AT: 
Course Instructor: knza ch
Workshop on Accelerator Operations
The interaction.
Situation Monitoring Know the plan, share the plan, review the risks.
Presentation transcript:

Cognitive Errors in Medicine Alireza Monajemi, MD-PhD Philosophy of Science & Technology Department IHCS

Block 1 Definition

Deaths annually because of Medical Error

An error is an action which is inaccurate or incorrect.

Cognitive Bias = Error A cognitive bias is a pattern of poor judgment, often triggered by a particular situation.

Cognitive Bias = Error The existence of most of the particular cognitive biases has been verified in psychology experiments.

Why they exist Cognitive biases are influenced by evolution and natural selection pressure.

Why they exist General fault in human cognition structure Misapplication of a mechanism that is beneficial under different circumstances.

Why they exist adaptive and beneficial actions lead to more effective actions enable faster decisions for success and survival.

Areas where Cognitive biases occur Decision-making and behavioural biases Biases in probability and belief. Social biases Memory errors and biases

Block 2 Information Processing

Visual Error

Block 3 Action Theory & Errors

This taxonomy can cover major types of human errors, because a human error is an error in an action and any action goes through the seven stages of the action cycle.

Incorrect establishing the goal

Comatose Patient

establishing the goal In comatose patient Dx instead of Mx

Incorrect translation from goals to intentions

Example Know the priority of Mx in a comatose patient but plan a Dx procedure to Mx

Incorrect action specifications from intentions

Instead of Bedside glucometry, order EEG

Incorrect execution of actions

Order Dw 5% instead of Hypertonic Glucose 50%

Misperception of system state

Misinterpretation of data perceived

Do not know the response of comatose patient because of hypoglycemia

Misevaluation of interpreted information with regard to the goal of the task

Do not know how and when terminate the Mx plan of the patient

(2) forming the intention (e.g., ‘‘use keypad to enter 1000’’), which is concrete and dependent on the actual system or concrete setting

(3) specifying the action specification (e.g., ‘‘press ’’), which is the formation of the sequence of actions to be carried out

( 4) executing the action (e.g., ‘‘physically pressing ’’), which is physically carrying out the actions

(5) perceiving the system state (e.g., ‘‘volume: 1000 cc, with 1000 highlighted’’), which is to detect and recognize any changes in system state

(6) interpreting the state, which means to make sense of the information perceived from the perception stage (e.g., ‘‘1000 cc is displayed, but what does the highlighting mean? Has the pump accepted the value, or must I press another button?’’)

(7) evaluating the system state with respect to the goals and intentions (e.g., ‘‘determine if the system has accepted the volume, i.e., press key to start infusion’’), which is to check if the original goal has been completed.

Near Miss A near miss is an unplanned event that did not result in injury, illness, or damage – but had the potential to do so

Block 4 Mistake vs. Slip

Slip vs. Mistake Slip is an incorrect execution of a correct action sequence Mistake is the correct execution of an incorrect action sequence

Mistakes occurs When behavior leads to a failure because of incorrect or incomplete knowledge

Slip occurs When the knowledge is correct, but a failure occurs

Slip misinterpreting feedback because of expectations (e.g., reading 1301 as the expected 130.1)

Mistake misinterpreting feedback because of incorrectly acquired or missing knowledge (e.g., thinking that a blinking red light means the device is working, when in reality it means the battery is low)

Example of Slip we all know the difference between a computer mouse and a cell phone, but if a mouse and cell phone are next to each other on our desks, we may accidentally pick up the mouse when the phone rings or we may accidentally reach for the phone when we want to move the mouse—both examples of a slip.

Execution slips

Goal slips Cognitive mechanisms Loss of activation Altered goal Overflow of working memory Potential solutions Provide memory aids Reduce multitasking Reduce interruptions Reduce goal overload

Intention slips Cognitive mechanisms Loss of activation Altered intention Overflow of working memory Potential solutions Reduce interruptions Situated actions Reduce multitasking Provide memory aids

Action specification slips Cognitive mechanisms Associative activation Failure of retrieval Potential solutions Automation Decision support Direct action

Action execution slips Cognitive mechanisms Perceptual confusion Deviation of motor skills Potential solutions Display design Automation Visualization Reduce interruption

Evaluation Slips

Perception Slips Cognitive mechanisms Lack of perception Misperception Mis-anticipation Potential solutions Direct perception Immediate feedback

Interpretation Slips Cognitive mechanisms Default knowledge Confirmation bias Information overload Potential solutions Display design Decision support User training Memory aids Situation awareness

Action evaluation slips Cognitive mechanisms Lost memory of goal Lack of feedback Insufficient information Ambiguous information Evaluating different goal Potential solutions Memory aids Display design Action tracking Information reduction

Action evaluation slips Cognitive mechanisms Lost memory of goal Lack of feedback Insufficient information Ambiguous information Evaluating different goal Potential solutions Memory aids Display design Action tracking Information reduction

Mistakes

Execution mistakes

Goal Mistakes Cognitive mechanisms Incorrect knowledge Incomplete knowledge Misuse of knowledge Biases & faulty heuristics Information overload Potential solutions Education Decision support Representational aid

Intention mistakes Cognitive mechanisms Incorrect knowledge Incomplete knowledge Misuse of knowledge Biases & faulty heuristics Information overload Potential solutions Education Decision support Representational aid

Action specification mistakes Cognitive mechanisms Lack of correct rules Encoding deficiencies in rules Potential solutions Education Decision support Representational aid

Action execution mistakes Cognitive mechanisms Misapplication of good rules Dissociation between knowledge and rules Potential solutions Education Representational aid

Evaluation mistakes

Perception Mistakes Cognitive mechanisms Lack of perception Misperception Mis-anticipation Potential solutions Aids for perceptual systems Display design

Interpretation Mistakes Cognitive mechanisms Incorrect knowledge Incomplete knowledge Information overload Potential solutions Education Representational aid Information reduction Display design

Action Evaluation Mistakes Cognitive mechanisms Incorrect knowledge Incomplete knowledge Information overload Potential solutions Education Representational aid Information reduction Display design

Block 4 Debiasing

Perception Triggering Diagnosis= interpretation Correction

Error perception is a critical step in the cycle, since without it the error will not be noticed.

Error perception expert ability to recognize the pattern underlying multiple subtle cues expectancies based on the ability to recognize chains of events using a causal framework expert mental models (including models of the instruments used to collect observed data) a sense of typicality, which provides a baseline for the detection of anomalies

process of error detection=triggering spontaneous (in response to some perceived discrepancy) systematic (for example, the use of a checklist to prevent procedural errors

Error Detection occurs when “the problem solver perceives a discrepancy between the results produced and his expectations

one is applying knowledge of the domain in order to anticipate the outcome of executed actions

I. Simple errors: Errors that require single step inference along II. Complex errors: Errors that require integration of multiple data elements III. Knowledge-based errors: Errors caused by incorrect or incomplete medical knowledge IV. Procedural errors: Errors caused by deviations from standard task-oriented clinical guidelines and procedures

Medical Error Classification based on interpertation Medical Error SimpleKnowledgeProceduralComplexKnowledgeProcedural

Some Major Cognitive Errors