usability & human factors designing for safety lecture b this material (comp15_unit10b) was...

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Usability & Human Factors Designing for Safety Lecture b This material (Comp15_Unit10b) was developed by Columbia University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number 1U24OC000003.

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Usability & Human Factors

Designing for Safety

Lecture b

This material (Comp15_Unit10b) was developed by Columbia University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number 1U24OC000003.

Designing for SafetyLearning Objectives

2

• Apply the cognitive taxonomy of errors (Lecture b)

• Define “workflow analysis” and methods for examining and addressing human errors (Lecture b)

Health IT Workforce Curriculum Version 3.0/Spring 2012

Usability & Human Factors Designing for Safety

Lecture b

Woods and Colleagues: Resilience Engineering

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Usability & Human Factors Designing for Safety

Lecture b

Woods and Colleagues: Challenger Analysis

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Usability & Human Factors Designing for Safety

Lecture b

‘Failure of Foresight’

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Usability & Human Factors Designing for Safety

Lecture b

Woods and Colleagues: Detecting Danger

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Usability & Human Factors Designing for Safety

Lecture b

Woods – Resilience Engineering (cont.)

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Usability & Human Factors Designing for Safety

Lecture b

Resilience Engineering (cont.)

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Usability & Human Factors Designing for Safety

Lecture b

Resilience Engineering – 3 Basics

• v

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Usability & Human Factors Designing for Safety

Lecture b

Failure Factors and Recovery

Zhang, J., Patel, L.V., Johnson, R. T., &. Shortliffe, H.E. (2004).

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Usability & Human Factors Designing for Safety

Lecture b

Patel, Cohen – Error in Critical Care

Patel, V.L, , & Cohen, T. (2008).

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Usability & Human Factors Designing for Safety

Lecture b

Time Course of Medical Errors

Cohen, T., Blatter, B., Almeida, C., Patel VL. (2007).

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Usability & Human Factors Designing for Safety

Lecture b

Error Detection and Correction

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Usability & Human Factors Designing for Safety

Lecture b

Workflow Analysis and Modeling (Malhotra and Colleagues: 2006)

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Usability & Human Factors Designing for Safety

Lecture b

Schematic Layout of the Cardio Thoracic Intensive Care Unit (CTICU) &

Key Activities (Malhotra et al 2007)

Malhotra, S., Jordan, D., Shortliffe, E., Patel, V.L. (2007).

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Lecture b

CTICU Critical Zones - Examples

Jiajie, Z., Vimla, P.L., Johnson, T.R., Shortliffe. E.H. (2004).

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Usability & Human Factors Designing for Safety

Lecture b

Intensive Care Unit (ICU) and Critical Care

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Usability & Human Factors Designing for Safety

Lecture b

Factors in ICU Care

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Usability & Human Factors Designing for Safety

Lecture b

Care Goal Sheet (Pronovost)

Pronovost, (2005).

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Usability & Human Factors Designing for Safety

Lecture b

Critical Care Environments

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Usability & Human Factors Designing for Safety

Lecture b

Virtual World Replay

Vankipuram, M., Kahol, K., Cohen, T., Patel, V.L. (2010).

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Usability & Human Factors Designing for Safety

Lecture b

Cognitive Taxonomy of Error (Zhang and Colleagues: 2004)

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Usability & Human Factors Designing for Safety

Lecture b

Errors

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Usability & Human Factors Designing for Safety

Lecture b

Cognitive Taxonomy of Error

Zhang, J., Patel, L.V., Johnson, R. T., &. Shortliffe, H.E. (2004).

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Lecture b

Chain of events leading to error

Example of an Error and Questions It Raises (from Zhang, 2004)

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Usability & Human Factors Designing for Safety

Lecture b

Error Example (cont.)

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Usability & Human Factors Designing for Safety

Lecture b

Error Taxonomy

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Usability & Human Factors Designing for Safety

Lecture b

Taxonomy

Zhang, J., Patel, L.V., Johnson, R. T., &. Shortliffe, H.E. (2004).

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Lecture b

Examples From Zhang, 2004Slip Stage in Action

cycleExamples

Execution slip Goal slips Doctor was called out of the room to answer an urgent call and afterwards went to the room of a different patient who was next in the queue. (Loss of activation)

Intention slip A nurse intended to enter the rate of infusion using the up-down arrow keys, because this is the technique required on the pump she most frequently uses; however, on this pump the arrow keys move the selection region instead of changing the selected number (capture)

Action specification slips

A nurse intends to decrease a value using the decrement function, but pushes the down arrow key (which moves to the next field) instead of the minus key. (Associative activation)

Action execution slips

“I meant to turn off the antibiotics IV only, but turned off the infusion pump completely” (Double capture)

1.1 Table: Patel, V.L, , & Cohen, T. (2008).

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Lecture b

Examples From Zhang, 2004 (cont.)

Slip Stage in Action cycle

Examples (From Zhang, 2004)

Execution slip

Goal slips Doctor was called out of the room to answer an urgent call and afterwards went to the room of a different patient who was next in the queue. (Loss of activation)

Intention slip

A nurse intended to enter the rate of infusion using the up-down arrow keys, because this is the technique required on the pump she most frequently uses; however, on this pump the arrow keys move the selection region instead of changing the selected number (capture)

Action specification slips

A nurse intends to decrease a value using the decrement function, but pushes the down arrow key (which moves to the next field) instead of the minus key. (Associative activation)

Action execution slips

“I meant to turn off the antibiotics iv only, but turned off the infusion pump completely” (Double capture)

1.2 Table: Patel, V.L, , & Cohen, T. (2008).

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Lecture b

Examples From Zhang, 2004 (cont.)

Mistakes Stage in action cycle

Examples (From Zhang, 2004)

Execution mistakes

Goal mistakes Incorrect diagnosis due to neglect of base rate information (Biases)

Intention mistakes A physician treating a patient with oxygen set the flow control knob between 1 and 2 liters per minute, not realizing that the scale numbers represented discrete, rather than continuous settings (Incomplete knowledge)

Action specification mistakes

Strange burn scars appear in post-operative patients in a hospital. The problem was caused by electric discharge of a device that was not grounded. The device has a blinking red light to signal the problem, but the device operators did not know the meaning of the signal. (Incomplete knowledge)

Action specification mistakes

For example, a perfect knowledge of a surgical procedure may not lead to a successful surgical operation if the operator has not extensively practiced the procedure. (Dissociation between knowledge and rules)

1.3 Table: Patel, V.L, , & Cohen, T. (2008).

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Lecture b

Examples From Zhang, 2004 (cont.)

Evaluation Mistakes

Perception mistakes

A pharmacists filling prescription for Lamisil (an antifungal) mistakenly perceived Lamictal (an anticonvulsant) as Lamisil because he mistakenly expected it since he was looking for Lamisil. (Misperception)

Interpretation mistakes

A steady green light on an infusion pump means the device is ready, and a flashing green light indicates an infusion is in progress. The device user did not know the meaning of the steady green light, and correctly interpreted it as an indication that the infusion had begun. (Incorrect knowledge)

Action evaluation mistakes

In the infusion pump example the user may not know that the device has accepted the volume, and may then assume that the goal (‘set volume to be infused at 1000cc’) has not been accomplished, leading to a search for additional buttons (such as ‘enter’) to complete the goal (Incomplete knowledge)

1.4 Table: Patel, V.L, , & Cohen, T. (2008).

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Lecture b

Cognitive Interventions

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Lecture b

Errors - Context

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Lecture b

Designing for SafetySummary – Lecture b

• This unit examine cognitive taxonomies in error and reviewed various studies on source of errors

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Designing for SafetyReferences – Lecture b

References

1. Hollnagel, E., Woods, D.D., and Leveson, N. (2006). Resilience engineering: concepts and precepts. Publisher, Ashgate Publishing Limited, Burlington, VT.

2. Zhang, J., Patel, L.V., Johnson, R. T., &. Shortliffe, H.E. (2004). A cognitive taxonomy of medical errors. Journal of Biomedical Informatics 37:193–204

3. Patel VL, Cohen T. (2008). Error in Critical Care. Curr Opin Crit Care. 2008 Aug;14(4):456-9

4. Cohen T, Blatter B, Almeida C, Patel VL. (2007). Reevaluating recovery: perceived violations and preemptive interventions on emergency psychiatry rounds. J Am Med Inform Assoc. 2007 May-Jun;14(3):312-9.)

5. Pronovost, PJ,Jenckes, MW,Dorman, T., Garrett, E., Breslow, MJ, Rosenfeld, BA, Lipsett, PA, Bass, E. (19990. Introduction to patient safety research. JAMA. 1999;281(14):1310-1317. http://www.slideshare.net/changezkn/pronovost-ppt-918kb.

6. Hollnagel, E., Woods, D.D., and Leveson, N. (2006). Resilience engineering: concepts and precepts. Publisher, Ashgate Publishing Limited, Burlington, VT.

7. Malhotra S, Jordan D, Shortliffe E, Patel VL. Workflow modeling in critical care: piecing together your own puzzle. J Biomed Inform. 2007 Apr;40(2):81-92.

8. Vankipuram M, Kahol, K, Cohen, T, Patel, VL. Toward automated workflow analysis and visualization in clinical environments. J Biomed Inform(2010)

9. Xiao Y. Artifacts and collaborative work in healthcare: methodological, theoretical, and technological implications of the tangible. Journal of Biomedical Informatics. 2005 February 2005;38(1):26-33.

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Usability & Human Factors Designing for Safety

Lecture b

Designing for SafetyReferences – Lecture b

Images

Slide 10: Zhang, J., Patel, L.V., Johnson, R. T., &. Shortliffe, H.E. (2004). A cognitive taxonomy of medical errors. Journal of Biomedical Informatics 37:193–204

Slide 11: Patel, V.L, , & Cohen, T. (2008). Error in Critical Care. Curr Opin Crit Care. 2008 Aug;14(4):456-9.

Slide 12: Cohen, T., Blatter, B., Almeida, C., Patel VL. (2007). Reevaluating recovery: perceived violations and preemptive interventions on emergency psychiatry rounds. J Am Med Inform Assoc. 2007 May-Jun;14(3):312-9.

Slide 15: Malhotra, S., Jordan, D., Shortliffe, E., Patel, V.L. (2007). Workflow modeling in critical care: piecing together your own puzzle. J Biomed Inform. 2007 Apr;40(2):81-92.

Slide 16: Jiajie, Z., Vimla, P.L., Johnson, T.R., Shortliffe. E.H. (2004).A cognitive taxonomy of medical errors. Journal of Biomedical Informatics 37 (2004) 193–204

Slide 19: Pronovost, PJ,Jenckes, MW,Dorman, T., Garrett, E., Breslow, MJ, Rosenfeld, BA, Lipsett, PA, Bass, E. (19990. Introduction to patient safety research. JAMA. 1999;281(14):1310-1317. http://www.slideshare.net/changezkn/pronovost-ppt-918kb.

Slide 21: Vankipuram, M., Kahol, K., Cohen, T., Patel, V.L. (2010). Toward automated workflow analysis and visualization in clinical environments. J Biomed Inform(2010).

Slide 24, 28: Zhang, J., Patel, L.V., Johnson, R. T., &. Shortliffe, H.E. (2004). A cognitive taxonomy of medical errors. Journal of Biomedical Informatics 37:193–204

Charts, Tables & Figures

1.1, 1.2, 1.3 & 1.4 Table: Zhang, J., Patel, L.V., Johnson, R. T., &. Shortliffe, H.E. (2004). A cognitive taxonomy of medical errors. Journal of Biomedical Informatics 37:193–204

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Lecture b