Identified themes of interactive visualizations overlayed onto EHR data: an example of improving birth center operating room efficiency

Author:

Stirling Andrew1,Tubb Tracy1,Reiff Emily S2,Grotegut Chad A3,Gagnon Jennifer1,Li Weiyi1,Bradley Gail1,Poon Eric G145ORCID,Goldstein Benjamin A56

Affiliation:

1. Duke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA

2. Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, Boston, Massachusetts, USA

3. Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, North Carolina, USA

4. Department of Medicine, Duke University, Durham, North Carolina, USA

5. Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA

6. Children’s Health & Discovery Initiative, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA

Abstract

Abstract Objective While electronic health record (EHR) systems store copious amounts of patient data, aggregating those data across patients can be challenging. Visual analytic tools that integrate with EHR systems allow clinicians to gain better insight and understanding into clinical care and management. We report on our experience building Tableau-based visualizations and integrating them into our EHR system. Materials and Methods Visual analytic tools were created as part of 12 clinician-initiated quality improvement projects. We built the visual analytic tools in Tableau and linked it within our EPIC environment. We identified 5 visual themes that spanned the various projects. To illustrate these themes, we choose 1 exemplary project which aimed to improve obstetric operating room efficiency. Results Across our 12 projects, we identified 5 visual themes that are integral to project success: scheduling & optimization (in 11/12 projects); provider assessment (10/12); executive assessment (8/12); patient outcomes (7/12); and control and goal charts (2/12). Discussion Many visualizations share common themes. Identification of these themes has allowed our internal team to be more efficient and directed in developing visualizations for future projects. Conclusion Organizing visual analytics into themes can allow informatics teams to more efficiently provide visual products to clinical collaborators.

Funder

Private Diagnostic Clinics

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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