RECOGNISING HUMAN FACTORS INEVALUATING USER INTERFACES INHEALTHCAREB. Kane1, L. Longo 1IRCSET   Research Fellow
Overview• Background• Method• Results• Conclusion
Background – Evaluation of Use• Nielsen’s Heuristics  • 10 Usability principles• Aerospace and Automotive Industry• NASA• ...
Method• Pilot Study• Two House Officers + Two Wards (1 each)  • Ward A: 18 Long-Stay Elderly Patients               with H...
Nielsen’s Heuristics• Feedback                • Minimise User Memory Load• Speak User’s Language   • Shortcuts• Clearly ma...
NASA-TLX• Mental Demand• Physical Demand• Temporal Demand• Effort• Performance• Frustration
Results - Overall Nielsen USAB
Results - Overall NASA-TLXAB
Results - Overall NASA-TLX – HMWWard A: High Dependency Scenario   Ward B: Lower Dependency Scenario
Results - Interpretation• Usability of EHR can vary over time• As clinicians approach the end of their working day, perfor...
Conclusion• Nielsen’s Principles, while helpful, do not take into account  • Context of System Use  • Impact of User’s Men...
ReferenceL. Longo and B. Kane, 2011,A Novel Methodology for Evaluating User Interfaces in Health CarePages 1-6, 24th IEEE ...
Acknowlegements• R. T. Venkateshappa, R. Ravikuma and K. Nagesh for helping in gathering data.• B. Kane is funded through ...
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Recognising Human Factors In Evaluating User Interfaces In Healthcare - Bridget Kane

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Recognising Human Factors In Evaluating User Interfaces In Healthcare - Bridget Kane

  1. 1. RECOGNISING HUMAN FACTORS INEVALUATING USER INTERFACES INHEALTHCAREB. Kane1, L. Longo 1IRCSET Research Fellow
  2. 2. Overview• Background• Method• Results• Conclusion
  3. 3. Background – Evaluation of Use• Nielsen’s Heuristics • 10 Usability principles• Aerospace and Automotive Industry• NASA• Healthcare - Context of Use• Pilot
  4. 4. Method• Pilot Study• Two House Officers + Two Wards (1 each) • Ward A: 18 Long-Stay Elderly Patients with HIGH Dependency Scores • Ward B: 10 Short-Stay Patients, Respite Care with Lower Dependency Scores than Ward A• Questionnaire on use of EPR – over 5 days • Nielsens’s Heuristics & NASA-TLX• Analysis
  5. 5. Nielsen’s Heuristics• Feedback • Minimise User Memory Load• Speak User’s Language • Shortcuts• Clearly marked exits • Simple Dialogue• Consistency • Good Error Messages• Prevent Errors • Help and Documentation
  6. 6. NASA-TLX• Mental Demand• Physical Demand• Temporal Demand• Effort• Performance• Frustration
  7. 7. Results - Overall Nielsen USAB
  8. 8. Results - Overall NASA-TLXAB
  9. 9. Results - Overall NASA-TLX – HMWWard A: High Dependency Scenario Ward B: Lower Dependency Scenario
  10. 10. Results - Interpretation• Usability of EHR can vary over time• As clinicians approach the end of their working day, performance dramatically declines• As a result of Decreased Performance, more Effort needed• Usability Evaluation methods in Healthcare should be more refined to give better information
  11. 11. Conclusion• Nielsen’s Principles, while helpful, do not take into account • Context of System Use • Impact of User’s Mental Workload• Human Factors should be incorporated into System Evaluation in Healthcare• More Research is needed into task issues in healthcare and usability
  12. 12. ReferenceL. Longo and B. Kane, 2011,A Novel Methodology for Evaluating User Interfaces in Health CarePages 1-6, 24th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Bristol, EnglandDOI 10.1109/CBMS.2011.5999024
  13. 13. Acknowlegements• R. T. Venkateshappa, R. Ravikuma and K. Nagesh for helping in gathering data.• B. Kane is funded through the IRCSET Enterprise Partnership scheme with St. James’s Hospital Board, Dublin• St James’s Hospital Board
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