Joshua Feblowitz

Learn 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 However, problem lists are often incomplete or out of date.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)
BACKGROUND To provide high-quality and safe care, clinicians must be able to optimally collect, distill, and interpret patient information. Despite advances in text summarization, only limited research exists on clinical summarization, the complex and heterogeneous process of gathering, organizing and presenting patient data in various forms. OBJECTIVE To(More)
PURPOSE The results of a retrospective evaluation of the frequency and preventability of adverse drug events (ADEs) involving multiple drugs among hospital inpatients are reported. METHODS Data collected in a previous cohort study of 180 actual ADEs and 552 potential ADEs (PADEs) at six community hospitals in Massachusetts were analyzed to determine the(More)
To the Editor: In 2009, the Health Information Technology for Economic and Clinical Health (HITECH) Act established Medicare and Medicaid incentive programs to encourage the adoption of electronic health records (EHRs) by hospitals and eligible professionals. Under Medicare, eligible professionals who show “meaningful use” of certified EHRs are eligible for(More)
OBJECTIVE To measure performance by eligible health care providers on CMS's meaningful use measures. DATA SOURCE Medicare Electronic Health Record Incentive Program Eligible Professionals Public Use File (PUF), which contains data on meaningful use attestations by 237,267 eligible providers through May 31, 2013. STUDY DESIGN Cross-sectional analysis of(More)
BACKGROUND Clinical decision support (CDS) is a valuable tool for improving healthcare quality and lowering costs. However, there is no comprehensive taxonomy of types of CDS and there has been limited research on the availability of various CDS tools across current electronic health record (EHR) systems. OBJECTIVE To develop and validate a taxonomy of(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)