Download e-book for kindle: The State and the Pattern of Health Information Technology by Kateryna Fonkych

By Kateryna Fonkych

Estimates the present point and trend of Healthcare info expertise adoption in numerous forms of healthcare companies, and evaluates elements that have an effect on this diffusion method.

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Extra resources for The State and the Pattern of Health Information Technology Adoption

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For-profit hospitals demonstrate a conflicting relationship of HIT adoption with size: Those larger than 100 beds have lower EMR adoption than in the smaller hospitals, but much higher PACS adoption (up to 3 times higher than hospitals with fewer than 100 beds). Since the type, location, and other characteristics of a hospital affect its size, we cannot directly attribute the entire relationship to size. Rural status is another widely quoted factor related to the lower adoption of HIT. According to our data analysis, the difference in EMR adoption between urban and rural locations is relatively small: 33 percent versus 29 percent.

Despite a low response rate of about 6 percent, the sample of respondents presents a wide range of demographic characteristics and specialties. According to this study, 13 percent of respondents reported use of EMR, although the study notes it might be an overestimate, due to a response bias and physicians’ broad definition of an EMR. Taking into account these considerations and the fact that the survey was conducted in 2001, we believe that our estimate of 12 percent for EMR adoption at the beginning of 2004 is comparable.

05 level. 10 level. 021* 1,630 0 45 46 The State and Pattern of Health Information Technology Adoption HMO, but not a PPO, increases the probability of adopting CPOE. PACS adoption is positively affected by a hospital’s equity in an HMO, and by a system’s equity in a PPO. Finally, membership in a hospital system increases the chances that a nonprofit hospital will adopt an EMR System, but not a CPOE or PACS. 11 It is likely that competitiveness of the market is related to such factors as rural location and size, and that the correlation of adoption with competition disappears when those factors are controlled for.

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