Visualizing collaborative electronic health record usage for hospitalized patients with heart failure

J Am Med Inform Assoc. 2015 Mar;22(2):299-311. doi: 10.1093/jamia/ocu017. Epub 2015 Feb 20.

Abstract

Objective: To visualize and describe collaborative electronic health record (EHR) usage for hospitalized patients with heart failure.

Materials and methods: We identified records of patients with heart failure and all associated healthcare provider record usage through queries of the Northwestern Medicine Enterprise Data Warehouse. We constructed a network by equating access and updates of a patient's EHR to a provider-patient interaction. We then considered shared patient record access as the basis for a second network that we termed the provider collaboration network. We calculated network statistics, the modularity of provider interactions, and provider cliques.

Results: We identified 548 patient records accessed by 5113 healthcare providers in 2012. The provider collaboration network had 1504 nodes and 83 998 edges. We identified 7 major provider collaboration modules. Average clique size was 87.9 providers. We used a graph database to demonstrate an ad hoc query of our provider-patient network.

Discussion: Our analysis suggests a large number of healthcare providers across a wide variety of professions access records of patients with heart failure during their hospital stay. This shared record access tends to take place not only in a pairwise manner but also among large groups of providers.

Conclusion: EHRs encode valuable interactions, implicitly or explicitly, between patients and providers. Network analysis provided strong evidence of multidisciplinary record access of patients with heart failure across teams of 100+ providers. Further investigation may lead to clearer understanding of how record access information can be used to strategically guide care coordination for patients hospitalized for heart failure.

Keywords: Care collaboration; electronic health records; heart failure; network analysis.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Data Display*
  • Data Mining
  • Electronic Health Records / statistics & numerical data*
  • Health Personnel
  • Heart Failure*
  • Hospitalization
  • Humans
  • Pattern Recognition, Automated*
  • User-Computer Interface