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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 12, 2020
Date Accepted: May 20, 2020
Date Submitted to PubMed: May 22, 2020

The final, peer-reviewed published version of this preprint can be found here:

Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform

Schulz WL, Durant TJ, Torre CJ Jr, Hsiao AL, Krumholz HM

Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform

J Med Internet Res 2020;22(5):e18707

DOI: 10.2196/18707

PMID: 32442130

PMCID: 7257473

Agile Healthcare Analytics: Enabling Real-Time Disease Surveillance with a Computational Health Platform

  • Wade L Schulz; 
  • Thomas JS Durant; 
  • Charles J Torre Jr; 
  • Allen L Hsiao; 
  • Harlan M Krumholz

ABSTRACT

The ongoing COVID-19 outbreak demonstrates the need for novel applications of real-time data to produce timely information about incident cases. Using health information technology (HIT) and real-world data, we sought to produce an interface that could, in near real-time, identify patients presenting with suspected respiratory tract infection (RTI) and enable monitoring of test results related to specific pathogens, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This tool was built upon our computational health platform (CHP), which provides access to near real-time data from disparate HIT sources across our health system. This combination of technology allowed us to rapidly prototype, iterate, and deploy a platform to support a cohesive organizational response to a rapidly evolving outbreak. Platforms that allow for agile analytics are needed to keep pace with evolving needs within the healthcare system.


 Citation

Please cite as:

Schulz WL, Durant TJ, Torre CJ Jr, Hsiao AL, Krumholz HM

Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform

J Med Internet Res 2020;22(5):e18707

DOI: 10.2196/18707

PMID: 32442130

PMCID: 7257473

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