Hospital analytics adoption: Determinants of choice and performance impacts

Aaron Baird, Michael F. Furukawa, Raghu Santanam

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

Abstract

Technology investment in the healthcare industry has targeted both transaction support systems, such as Electronic Medical Records (EMR), and decision support technologies, such as clinical data warehouses and data mining software. While EMR technology adoption has received considerable attention in research studies, decision support technology adoption determinants have received less attention. This study aims to investigate the determinants of adoption of decision analytics systems in hospitals and the resulting impact on hospital performance. Using the Heckman selection model (to correct for discrete strategic decision-making endogeneity) on a cross-sectional and representative set of U.S. hospitals integrated from various data sources, we examine the determinants of choice and resulting quality performance impacts of adopting clinical analytics systems. We find that EMR systems implementations are good predictors of clinical analytics systems adoption. We also find that the performance impacts of process enabled EMR systems are partially influenced by adoption of analytics software.

Original languageEnglish (US)
Title of host publication17th Americas Conference on Information Systems 2011, AMCIS 2011
Number of pages1
StatePublished - Dec 1 2011
Event17th Americas Conference on Information Systems 2011, AMCIS 2011 - Detroit, MI, United States
Duration: Aug 4 2011Aug 8 2011

Publication series

Name17th Americas Conference on Information Systems 2011, AMCIS 2011
Volume1

Other

Other17th Americas Conference on Information Systems 2011, AMCIS 2011
CountryUnited States
CityDetroit, MI
Period8/4/118/8/11

Keywords

  • Analytics
  • Determinants of choice
  • EMR
  • Electronic medical record
  • Heckman sample-selection
  • Hospital technology adoption
  • Performance impacts

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Library and Information Sciences

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