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 Annual Hawaii International Conference on System Sciences
Pages2900-2909
Number of pages10
DOIs
StatePublished - 2011
Event2012 45th Hawaii International Conference on System Sciences, HICSS 2012 - Maui, HI, United States
Duration: Jan 4 2012Jan 7 2012

Other

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

Fingerprint

Electronic medical equipment
Composite materials

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Freeze, R. D., Santanam, R., Vinze, A., & Furukawa, M. (2011). IT adoption: Healthcare metrics tracking. In Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 2900-2909). [6149177] https://doi.org/10.1109/HICSS.2012.392

IT adoption : Healthcare metrics tracking. / Freeze, Ronald D.; Santanam, Raghu; Vinze, Ajay; Furukawa, Michael.

Proceedings of the Annual Hawaii International Conference on System Sciences. 2011. p. 2900-2909 6149177.

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

Freeze, RD, Santanam, R, Vinze, A & Furukawa, M 2011, IT adoption: Healthcare metrics tracking. in Proceedings of the Annual Hawaii International Conference on System Sciences., 6149177, pp. 2900-2909, 2012 45th Hawaii International Conference on System Sciences, HICSS 2012, Maui, HI, United States, 1/4/12. https://doi.org/10.1109/HICSS.2012.392
Freeze RD, Santanam R, Vinze A, Furukawa M. IT adoption: Healthcare metrics tracking. In Proceedings of the Annual Hawaii International Conference on System Sciences. 2011. p. 2900-2909. 6149177 https://doi.org/10.1109/HICSS.2012.392
Freeze, Ronald D. ; Santanam, Raghu ; Vinze, Ajay ; Furukawa, Michael. / IT adoption : Healthcare metrics tracking. Proceedings of the Annual Hawaii International Conference on System Sciences. 2011. pp. 2900-2909
@inproceedings{8021e569a25c4bd98f20f7bd42c467ed,
title = "IT adoption: Healthcare metrics tracking",
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.",
author = "Freeze, {Ronald D.} and Raghu Santanam and Ajay Vinze and Michael Furukawa",
year = "2011",
doi = "10.1109/HICSS.2012.392",
language = "English (US)",
isbn = "9780769545257",
pages = "2900--2909",
booktitle = "Proceedings of the Annual Hawaii International Conference on System Sciences",

}

TY - GEN

T1 - IT adoption

T2 - Healthcare metrics tracking

AU - Freeze, Ronald D.

AU - Santanam, Raghu

AU - Vinze, Ajay

AU - Furukawa, Michael

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84857952773&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84857952773&partnerID=8YFLogxK

U2 - 10.1109/HICSS.2012.392

DO - 10.1109/HICSS.2012.392

M3 - Conference contribution

SN - 9780769545257

SP - 2900

EP - 2909

BT - Proceedings of the Annual Hawaii International Conference on System Sciences

ER -