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The State and Pattern of Health Information Technology Adoption

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Innovations in information technology IT have improved efficiency and quality in many industries. Healthcare has not been one of them. Although some administrative IT systems, such as those for billing, scheduling, and inventory management, are already in place in the healthcare industry, little adoption of clinical IT, such as Electronic Medical Record Systems EMR-S and Clinical Decision Support tools, has occurred. Government intervention has been called for to speed the adoption process for Health Information Technology HIT, based on the widespread belief that its adoption, or diffusion, is too slow to be socially optimal. In this report, we estimate the current level and pattern of HIT adoption in the different types of healthcare organizations, and we evaluate factors that affect this diffusion process. First, we make an effort to derive a population-wide adoption level of administrative and clinical HIT applications according to information in the Healthcare Information and Management Systems Society HIMSS-Dorenfest database formerly the Dorenfest IHDSTM Database, second release, 2004 and compare our estimates to alternative ones. We then attempt to summarize the current state and dynamics of HIT adoption according to these data and briefly review existing empirical studies on the HIT-adoption process. By comparing adoption rates across different types of healthcare providers and geographical areas, we help focus the policy agenda by identifying which healthcare providers lag behind and may need the most incentives to adopt HIT. Next, we employ regression analysis to separate the effects of the providers characteristics and factors on adoption of Electronic Medical Records EMR, Computerized Physician Order Entry CPOE, and Picture Archiving Communications Systems PACS, and compare the effects to findings in the literature.

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  • Medicine and Medical Research
  • Medical Facilities, Equipment and Supplies

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