IT adoption: Healthcare metrics tracking

Ronald D. Freeze, Raghu Santanam, Ajay Vinze, Michael Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Continuous improvement on core metrics is a goal of any organization. Progress toward these goals occurs over multiple time-periods and process changes and technology adoptions are intended to influence these metrics. Hospitals have been investing in technology for over two decades to improve on patient quality outcomes. This research examines how core patient safety and mortality metrics are impacted by investments in Electronic Medical Record (EMR) systems. The improvements in composite indicators are modeled as latent growth curves with adjustments based on the EMR stage for the individual hospitals. Differing results are identified based on whether the indicators are tracking medical conditions, surgical procedures or composites of all rates tracked. The latent growth model technique shows the EMR stage to be a significant predictor of reductions in hospital mortality rates.

Original languageEnglish (US)
Title of host publicationProceedings of the 45th Annual Hawaii International Conference on System Sciences, HICSS-45
PublisherIEEE Computer Society
Pages2900-2909
Number of pages10
ISBN (Print)9780769545257
DOIs
StatePublished - Jan 1 2012
Event2012 45th Hawaii International Conference on System Sciences, HICSS 2012 - Maui, HI, United States
Duration: Jan 4 2012Jan 7 2012

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Other

Other2012 45th Hawaii International Conference on System Sciences, HICSS 2012
CountryUnited States
CityMaui, HI
Period1/4/121/7/12

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Freeze, R. D., Santanam, R., Vinze, A., & Furukawa, M. (2012). IT adoption: Healthcare metrics tracking. In Proceedings of the 45th Annual Hawaii International Conference on System Sciences, HICSS-45 (pp. 2900-2909). [6149177] (Proceedings of the Annual Hawaii International Conference on System Sciences). IEEE Computer Society. https://doi.org/10.1109/HICSS.2012.392