Differential Effects of the Two Types of Information Systems: A Hospital-Based Study.

Author List: Menon, Nirup M.; Yaylacicegi, Ulku; Cezar, Asunur;
Journal of Management Information Systems, 2009, Volume 26, Issue 1, Page 297-316.
A new empirical model for the production function of the hospital incorporating two types of information systems (IS) is developed. One type of IS is representative of information technology (IT) used in primary, clinical, value-chain activities, and the other is representative of the IT used in support (administrative) value-chain activities. The model innovation is that it accommodates up to a seven-year lag for each type of IS. The output variables for the production function are hospital output and medical labor productivity. Using data spanning from 1979 to 2006 from several hospitals, it was found that clinical IS improve hospital output in the short run (of two years). Administrative IS were found to be negatively associated with organizational performance in the short run, but positively associated with these performance measures over the long run (over four years). These results highlight the importance of timing IT investments and the sequencing chosen for the implementation of IS presenting various value-chain activities, and the resulting pattern of business value over time. Differential lag length of the types of IS is to be considered in estimating the rate of return of new IT projects.
Keywords: health-care informatics; IT productivity; value-chain model
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#148 0.260 productivity information technology data production investment output investments impact returns using labor value research results evidence spillovers industries analysis gains
#196 0.153 health healthcare medical care patient patients hospital hospitals hit health-care telemedicine systems records clinical practices physician electronic physicians longitudinal outcomes
#93 0.106 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical significant suggest outcomes better positive
#132 0.106 likelihood multiple test survival promotion reputation increase actions run term likely legitimacy important rates findings long short higher argue prior
#0 0.098 information types different type sources analysis develop used behavior specific conditions consider improve using alternative understanding data available main target
#35 0.080 technology organizational information organizations organization new work perspective innovation processes used technological understanding technologies transformation consequences perspectives use administrative economic
#269 0.066 participation activities different roles projects examined outcomes level benefits conditions key importance isd suggest situations contextual furthermore benefit levels focus
#44 0.050 approach analysis application approaches new used paper methodology simulation traditional techniques systems process based using proposed method present provides various