Human-centered development of an electronic health record-embedded, interactive information visualization in the emergency department using fast healthcare interoperability resources

OBJECTIVE Develop and evaluate an interactive information visualization embedded within the electronic health record (EHR) by following human-centered design (HCD) processes and leveraging modern health information exchange standards. MATERIALS AND METHODS We applied an HCD process to develop a Fast Healthcare Interoperability Resources (FHIR) application that displays a patient's asthma history to clinicians in a pediatric emergency department. We performed a preimplementation comparative system evaluation to measure time on task, number of screens, information retrieval accuracy, cognitive load, user satisfaction, and perceived utility and usefulness. Application usage and system functionality were assessed using application logs and a postimplementation survey of end users. RESULTS Usability testing of the Asthma Timeline Application demonstrated a statistically significant reduction in time on task (P < .001), number of screens (P < .001), and cognitive load (P < .001) for clinicians when compared to base EHR functionality. Postimplementation evaluation demonstrated reliable functionality and high user satisfaction. DISCUSSION Following HCD processes to develop an application in the context of clinical operations/quality improvement is feasible. Our work also highlights the potential benefits and challenges associated with using internationally recognized data exchange standards as currently implemented. CONCLUSION Compared to standard EHR functionality, our visualization increased clinician efficiency when reviewing the charts of pediatric asthma patients. Application development efforts in an operational context should leverage existing health information exchange standards, such as FHIR, and evidence-based mixed methods approaches.

[1]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[2]  Catherine Plaisant,et al.  Designing a medication timeline for patients and physicians , 2019, J. Am. Medical Informatics Assoc..

[3]  L. Ohno-Machado,et al.  “Big Data” and the Electronic Health Record , 2014, Yearbook of Medical Informatics.

[4]  Catherine M. Burns,et al.  Ecological Interface Design , 2004 .

[5]  K. A. Ericsson,et al.  Verbal reports as data. , 1980 .

[6]  Joshua C. Mandel,et al.  Opening the Duke electronic health record to apps: Implementing SMART on FHIR , 2017, Int. J. Medical Informatics.

[7]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .

[8]  Sandra G. Hart,et al.  Nasa-Task Load Index (NASA-TLX); 20 Years Later , 2006 .

[9]  Richard J. Holden,et al.  The Technology Acceptance Model: Its past and its future in health care , 2010, J. Biomed. Informatics.

[10]  Andreas Schuler,et al.  Applying FHIR in an Integrated Health Monitoring System , 2015 .

[11]  Sudeep Hegde,et al.  Usability evaluation of an emergency department information system prototype designed using cognitive systems engineering techniques. , 2017, Applied ergonomics.

[12]  Philip J. Kroth,et al.  Physician stress and burnout: the impact of health information technology , 2018, J. Am. Medical Informatics Assoc..

[13]  Kensaku Kawamoto,et al.  Integrated displays to improve chronic disease management in ambulatory care: A SMART on FHIR application informed by mixed-methods user testing , 2020, J. Am. Medical Informatics Assoc..

[14]  Edward R Melnick,et al.  The Association Between Perceived Electronic Health Record Usability and Professional Burnout Among US Physicians. , 2019, Mayo Clinic proceedings.

[15]  Christian D. Schunn,et al.  A Social-Cognitive Framework of Multidisciplinary Team Innovation , 2010, Top. Cogn. Sci..

[16]  Kensaku Kawamoto,et al.  Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts , 2013, J. Am. Medical Informatics Assoc..

[17]  Jan Gulliksen,et al.  Key principles for user-centred systems design , 2003, Behav. Inf. Technol..

[18]  Gil Alterovitz,et al.  SMART on FHIR Genomics: facilitating standardized clinico-genomic apps , 2015, J. Am. Medical Informatics Assoc..

[19]  Benjamin Kuipers,et al.  A Description of Think Aloud Method and Protocol Analysis , 1993 .

[20]  Jane Baronas,et al.  A FHIR Human Leukocyte Antigen (HLA) Interface for Platelet Transfusion Support , 2017, Applied Clinical Informatics.

[21]  L. Militello Learning to think like a user: using cognitive task analysis to meet today's health care design challenges. , 1998, Biomedical instrumentation & technology.

[22]  Vimla L. Patel,et al.  Interface design for health care environments: the role of cognitive science , 1998, AMIA.

[23]  Jiajie Zhang,et al.  TURF: Toward a unified framework of EHR usability , 2011, J. Biomed. Informatics.

[24]  C. Forrest,et al.  Improving Adherence to Otitis Media Guidelines With Clinical Decision Support and Physician Feedback , 2013, Pediatrics.

[25]  J. Halbesleben,et al.  Linking physician burnout and patient outcomes: Exploring the dyadic relationship between physicians and patients , 2008, Health care management review.

[26]  Linda Tague,et al.  Assessing the Safety of Custom Web-Based Clinical Decision Support Systems in Electronic Health Records: A Case Study , 2019, Applied Clinical Informatics.

[27]  Dean F. Sittig,et al.  Clinical Summarization Capabilities of Commercially-available and Internally-developed Electronic Health Records , 2012, Applied Clinical Informatics.

[28]  Allan Fong,et al.  Identifying Electronic Health Record Usability And Safety Challenges In Pediatric Settings. , 2018, Health affairs.

[29]  Jiajie Zhang,et al.  The Nature of External Representations in Problem Solving , 1997, Cogn. Sci..

[30]  Sudeep Hegde,et al.  Assessment of Innovative Emergency Department Information Displays in a Clinical Simulation Center , 2015, Journal of cognitive engineering and decision making.

[31]  Brian G. Arndt,et al.  Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations , 2017, The Annals of Family Medicine.

[32]  Gil Alterovitz,et al.  SMART precision cancer medicine: a FHIR-based app to provide genomic information at the point of care , 2016, J. Am. Medical Informatics Assoc..

[33]  V. Dzau,et al.  To Care Is Human - Collectively Confronting the Clinician-Burnout Crisis. , 2018, The New England journal of medicine.

[34]  Katharine T. Adams,et al.  Electronic Health Record Usability Issues and Potential Contribution to Patient Harm , 2018, JAMA.

[35]  Ben Shneiderman,et al.  LifeLines: visualizing personal histories , 1996, CHI.

[36]  David Gotz,et al.  Exploring Flow, Factors, and Outcomes of Temporal Event Sequences with the Outflow Visualization , 2012, IEEE Transactions on Visualization and Computer Graphics.

[37]  Ben-Tzion Karsh,et al.  Information Chaos in Primary Care: Implications for Physician Performance and Patient Safety , 2011, The Journal of the American Board of Family Medicine.

[38]  Todd R. Johnson,et al.  A user-centered framework for redesigning health care interfaces , 2005, J. Biomed. Informatics.

[39]  Kenneth D. Mandl,et al.  SMART on FHIR: a standards-based, interoperable apps platform for electronic health records , 2016, J. Am. Medical Informatics Assoc..

[40]  Robert A. Virzi,et al.  Refining the Test Phase of Usability Evaluation: How Many Subjects Is Enough? , 1992 .

[41]  James M. Walker,et al.  Measuring workload of ICU nurses with a questionnaire survey: the NASA Task Load Index (TLX) , 2011, IIE transactions on healthcare systems engineering.

[42]  Natalie C. Benda,et al.  Design and Evaluation of an Integrated, Patient-Focused Electronic Health Record Display for Emergency Medicine , 2019, Applied Clinical Informatics.