Variation in Electronic Health Record Workflow Patterns: A Multisite study

Objectives Electronic health records (EHRs) continue to have significant usability challenges in part due to differences in workflow. The objective of this study was to examine workflow pattern variations for one specific task: emergency physicians placing a magnetic resonance imaging (MRI) order. Methods A between-subjects usability study was conducted using two different major EHR vendor products across four different provider sites (n = 55). A clinical scenario concerning for spinal cord compression was read to participants who then completed an ordering task using a training environment representative of their native EHR. The primary outcome measures were accuracy, time on task, and number of clicks. Results We identified four different workflows to complete the same order. One workflow required two steps (enabled at one site), one workflow required four steps (enabled at two sites), and two workflows required six steps to complete the task (available at all sites). Of the 12 physicians who employed the two-step workflow, 8 (67%) had the correct order and correct indication, the average time on task was 29.65 (standard deviation [SD] = 13.77), and the mean number of clicks was 13.5 (SD = 18.87). In contrast, for the 43 physicians who employed other workflows, 7 (21%) had the correct order and correct indication, with the average time on task of 73.1 (SD = 30.12) and mean clicks of 27.64 (SD = 13.25) (p  Discussion These different approaches were made possible by technical specifications leading to multiple workflow options available to physicians in the EHR environment. EHR design maximizing usability can reduce the work effort and improve the accuracy of physician ordering.

[1]  Dean F Sittig,et al.  A new sociotechnical model for studying health information technology in complex adaptive healthcare systems , 2010, Quality and Safety in Health Care.

[2]  Arun Vishwanath,et al.  The impact of electronic medical record systems on outpatient workflows: A longitudinal evaluation of its workflow effects , 2010, Int. J. Medical Informatics.

[3]  Raj M. Ratwani,et al.  A usability and safety analysis of electronic health records: a multi-center study , 2018, J. Am. Medical Informatics Assoc..

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

[5]  S. Davidson,et al.  Physician and nurse satisfaction with an Electronic Medical Record system. , 2004, The Journal of emergency medicine.

[6]  Raj M. Ratwani,et al.  Electronic health record usability: analysis of the user-centered design processes of eleven electronic health record vendors , 2015, J. Am. Medical Informatics Assoc..

[7]  Mark W Friedberg,et al.  Factors Affecting Physician Professional Satisfaction and Their Implications for Patient Care, Health Systems, and Health Policy. , 2013, Rand health quarterly.

[8]  D. Blumenthal Stimulating the adoption of health information technology. , 2009, The West Virginia medical journal.

[9]  Helen Burstin,et al.  The adoption gap: health information technology in small physician practices. Understanding office workflow can help realize the promise of technology. , 2005, Health affairs.

[10]  Marc Berg,et al.  Review Paper: The Impact of Computerized Provider Order Entry Systems on Inpatient Clinical Workflow: A Literature Review , 2009, J. Am. Medical Informatics Assoc..

[11]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[12]  Michael I. Harrison,et al.  Viewpoint Paper: Unintended Consequences of Information Technologies in Health Care - An Interactive Sociotechnical Analysis , 2007, J. Am. Medical Informatics Assoc..

[13]  Christine A. Sinsky,et al.  Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties , 2016, Annals of Internal Medicine.

[14]  D. Blumenthal,et al.  The benefits of health information technology: a review of the recent literature shows predominantly positive results. , 2011, Health affairs.

[15]  Herbert S. Lin,et al.  Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions , 2009 .

[16]  Sun Young Park,et al.  The effects of EMR deployment on doctors' work practices: A qualitative study in the emergency department of a teaching hospital , 2012, Int. J. Medical Informatics.

[17]  Kim M. Unertl,et al.  Research Paper: Describing and Modeling Workflow and Information Flow in Chronic Disease Care , 2009, J. Am. Medical Informatics Assoc..

[18]  M. Gagnon,et al.  Comparison of user groups' perspectives of barriers and facilitators to implementing electronic health records: a systematic review , 2011, BMC medicine.

[19]  C. Goldzweig,et al.  Costs and benefits of health information technology: new trends from the literature. , 2009, Health affairs.

[20]  Charlotte A. Weaver,et al.  Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA. , 2013, Journal of the American Medical Informatics Association : JAMIA.