Atif Zafar

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OBJECTIVE The nationwide health information network (NHIN) has been proposed to securely link community and state health information exchange (HIE) entities to create a national, interoperable network for sharing healthcare data in the USA. This paper describes a framework for evaluating the costs, effort, and value of nationwide data exchange as the NHIN(More)
OBJECTIVES To (1) discover the types of errors most commonly found in clinical notes that are generated either using automatic speech recognition (ASR) or via human transcription and (2) to develop efficient rules for classifying these errors based on the categories found in (1). The purpose of classifying errors into categories is to understand the(More)
Taxonomies provide schemas to help classify entities and define the relationships between them. Early computing enabled the development of ontologies and Medical Subject Headings (MeSH), the first modern classification of medical terminology as applied to medical literature. Later developments, such as MEDLINE, expanded MeSH to include a number of medical(More)
Several nations and local communities are striving to achieve widespread, secure exchange of clinical data between various health care providers and public health organizations. Most of the literature on health information exchange focuses on the financial, political, and privacy aspects of these initiatives. Perhaps just as important are the technical and(More)
The Agency for Healthcare Research and Quality (AHRQ) has invested $166 million in projects designed to test the effectiveness of health information technologies (health IT) as they relate to cost, quality and patient safety indicators. These projects embrace the breadth of health IT solutions and involve participants from across the United States. In order(More)
The Regenstrief Medical Record System (RMRS) continues to grow in depth and breadth. At Clarian and Wishard, over 200 million coded observations are stored along with 3.25 million text reports, 212,000 images (mostly radiographs) and 13.8 million orders for 1.55 million registered patients. Additional data are being incorporated on an ongoing basis(More)
PURPOSE In this study, we developed and field tested the Medication Error and Adverse Drug Event Reporting System (MEADERS)-an easy-to-use, Web-based reporting system designed for busy office practices. METHODS We conducted a 10-week field test of MEADERS in which 220 physicians and office staff from 24 practices reported medication errors and adverse(More)
The Institute of Medicine (IOM) has identified the mitigation of Adverse Drug Events (ADEs) and Medication Errors (MEs) as top national priorities. Currently available reporting tools are fraught with inefficiencies that prevent widespread adoption into busy primary care practices. Using expert panel input we designed and built a new reporting tool that(More)