Development and Implementation of a Dashboard for Diabetes Care Management in OpenMRS

A clinical dashboard for a patient's diabetes condition helps physicians to make better decisions based on readily available information. OpenMRS is a widely used open-source electronic health records system but does not provide a disease-specific dashboard. This project implemented a dashboard for displaying all diabetes-related lab measures at one place, when a physician accesses a patient record in OpenMRS. It summarizes a list of diabetes-related clinical measures through an intuitive, chart-based, customizable user experience. Gauge charts are used to display the most important lab values for Glucose, Renal Function, and Lipid Profile tests. Data Tables are used to display data of the lab values from the past and current visit in the table, including the ability to search for a specific visit date. Interactive line charts are used to display the trends of lab measures. Diabetes Dashboard may help physicians to make quicker decisions through this snapshot view. We took data for a few patients and demonstrated this to clinicians as a proof of concept, without performing a full-fledged user evaluation. Future work involves integrating this dashboard with clinical practice guidelines and alerting when measures are outside the guidelines.

[1]  2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2018 , 2017, Diabetes Care.

[2]  Arno Puder,et al.  Exposing native device APIs to web apps , 2014, MOBILESoft 2014.

[3]  Saptarshi Purkayastha,et al.  A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System , 2018, Journal of Digital Imaging.

[4]  Paul G. Biondich,et al.  Cooking Up An Open Source EMR For Developing Countries: OpenMRS - A Recipe For Successful Collaboration , 2006, AMIA.

[5]  Tin Wee Tan,et al.  Development of a clinical decision support system for diabetes care: A pilot study , 2017, PloS one.

[6]  Marta Sabou,et al.  Visualizing Statistical Linked Knowledge Sources for Decision Support , 2014 .

[7]  Jeffery L. Belden,et al.  A Diabetes Dashboard and Physician Efficiency and Accuracy in Accessing Data Needed for High-Quality Diabetes Care , 2011, The Annals of Family Medicine.

[8]  Richard J. Holden,et al.  Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure , 2017, Int. J. Medical Informatics.

[9]  Riccardo Bellazzi,et al.  A dashboard-based system for supporting diabetes care , 2018, J. Am. Medical Informatics Assoc..

[10]  S. Trent Rosenbloom,et al.  Design Sprint and Usability Testing of a Patient-facing, Diabetes Dashboard Embedded in a Patient Web Portal (Preprint) , 2017 .

[11]  Alexandra Tsouka,et al.  The iSCREEN Electronic Diabetes Dashboard: A Tool to Improve Knowledge and Implementation of Pediatric Clinical Practice Guidelines. , 2017, Canadian journal of diabetes.

[12]  Saptarshi Purkayastha,et al.  Implementation of a single sign-on system between practice, research and learning systems , 2017, Applied Clinical Informatics.

[13]  Vickie Nguyen,et al.  Dashboard visualizations: Supporting real-time throughput decision-making , 2017, J. Biomed. Informatics.

[14]  Stephanie J. Fonda,et al.  Usability test of an internet-based informatics tool for diabetes care providers: the comprehensive diabetes management program. , 2008, Diabetes technology & therapeutics.

[15]  Saptarshi Purkayastha,et al.  Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria , 2019, Healthcare informatics research.

[16]  S Trent Rosenbloom,et al.  A Patient-Facing Diabetes Dashboard Embedded in a Patient Web Portal: Design Sprint and Usability Testing , 2017, JMIR human factors.

[17]  Geraldine Fitzpatrick,et al.  Dashboards for improving patient care: Review of the literature , 2015, Int. J. Medical Informatics.

[18]  Eric W. Ford,et al.  Impact of the HITECH Act on physicians' adoption of electronic health records , 2016, J. Am. Medical Informatics Assoc..

[19]  D. Bates,et al.  Return on investment for vendor computerized physician order entry in four community hospitals: the importance of decision support. , 2013, Joint Commission journal on quality and patient safety.