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BACKGROUND The patient problem list is an important component of clinical medicine. The problem list enables decision support and quality measurement, and evidence suggests that patients with accurate and complete problem lists may have better outcomes. However, the problem list is often incomplete. OBJECTIVE To determine whether association rule mining,(More)
PURPOSE To determine the features of commercially available USB-based Personal Health Records (PHR) devices, and compare the commercial state of the art to recommendations made by certification committees. METHODS Thirteen USB-based PHRs were identified and analyzed based on data elements used and features provided. Marketing techniques used by the(More)
BACKGROUND Accurate knowledge of a patient's medical problems is critical for clinical decision making, quality measurement, research, billing and clinical decision support. Common structured sources of problem information include the patient problem list and billing data; however, these sources are often inaccurate or incomplete. OBJECTIVE To develop and(More)
BACKGROUND The clinical problem list is an important tool for clinical decision making, quality measurement and clinical decision support; however, problem lists are often incomplete and provider attitudes towards the problem list are poorly understood. METHODS An ethnographic study of healthcare providers conducted from April 2009 to January 2010 was(More)
BACKGROUND Accurate clinical problem lists are critical for patient care, clinical decision support, population reporting, quality improvement, and research. However, problem lists are often incomplete or out of date. OBJECTIVE To determine whether a clinical alerting system, which uses inference rules to notify providers of undocumented problems,(More)
A systematic and standard process for capturing information within free-text clinical documents could facilitate opportunities for improving quality and safety of patient care, enhancing decision support, and advancing data warehousing across an enterprise setting. At Partners HealthCare System, the Medical Language Processing (MLP) services project was(More)
OBJECTIVE To develop and test an instrument for assessing a healthcare organization's ability to mitigate malpractice risk through clinical decision support (CDS). MATERIALS AND METHODS Based on a previously collected malpractice data set, we identified common types of CDS and the number and cost of malpractice cases that might have been prevented through(More)
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