Francine L. Maloney

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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)
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 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 However, problem lists are often incomplete or out of date.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)
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)
OBJECTIVE To characterize the opinions, emotions, and actions taken by patients who viewed their electronic problem list via an online personal health record (PHR). MATERIALS AND METHODS An online survey of patients who viewed their problem lists, as maintained by their healthcare provider, in a web-based PHR linked to an electronic health record for the(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 In a previous study, we reported on a successful clinical decision support (CDS) intervention designed to improve electronic problem list accuracy, but did not study variability of provider response to the intervention or provider attitudes towards it. The alert system accurately predicted missing problem list items based on health data captured(More)
OBJECTIVE Identify clinical opportunities to intervene to prevent a malpractice event and determine the proportion of malpractice claims potentially preventable by clinical decision support (CDS). MATERIALS AND METHODS Cross-sectional review of closed malpractice claims over seven years from one malpractice insurance company and seven hospitals in the(More)