A b s t r a c t Objective: To determine whether natural language processing (NLP) can effectively detect adverse events defined in the New York Patient Occurrence Reporting and Tracking System (NYPORTS) using discharge summaries.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1174890/pdf/448.pdf
ABSTRACT
Objective (1) To evaluate a state-of-the-art natural language processing (NLP)-based approach to automatically de-identify a large set of diverse clinical notes. (2) To measure the impact of de-identification on the performance of information extraction algorithms on the de-identified documents.
http://jamia.bmj.com/content/20/1/84.full.pdf html
Introduction: Electronic quality monitoring (eQuality) from clinical narratives may advance current manual quality measurement techniques. We evaluated automated eQuality measurement tools on clinical narratives of veterans’ disability examinations.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656015/pdf/amia-0071-s2008.pdf
Objective: To assess whether connections between physicians based on shared patients in administrative data correspond with professional relationships between physicians.
Data Sources/Study Setting: Survey of physicians affiliated with a large academic and community physicians’ organization and 2006 Medicare data from a 100 percent sample of patients in the Boston Hospital referral region.
http://humannaturelab.net/wp-content/themes/human-nature-lab/media/pdf/publications/articles/122.pdf
Background: There is substantial variation in the cost and intensity of care delivered by US hospitals. We assessed how the structure of patient-sharing networks of physicians affiliated with hospitals might contribute to this variation.
http://humannaturelab.net/wp-content/themes/human-nature-lab/media/pdf/publications/articles/128.pdf
BACKGROUND: Specialty referral patterns can affect health care costs as well as clinical outcomes. For a given clinical problem, referring physicians usually have a choice of several physicians to whom they can refer. Once the decision to refer is made, the choice of individual physician may have important downstream effects. OBJECTIVE: To examine the reasons why primary care and specialist physicians choose certain specific colleagues to refer to and how those reasons differ by specialty.
http://humannaturelab.net/wp-content/themes/human-nature-lab/media/pdf/publications/articles/131.pdf
Context: Physicians are embedded in informal networks that result from their sharing of patients, information, and behaviors.
Objectives: To identify professional networks among physicians, examine how such networks vary across geographic regions, and determine factors associated with physician connections.
http://humannaturelab.net/wp-content/themes/human-nature-lab/media/pdf/publications/articles/134.pdf
Abstract
Background: Achieving a high response rate in a physician survey is challenging. Monetary incentives increase response rates but obviously add cost to a survey project. We wondered whether an offer of a free continuing medical education (CME) activity would be effective in improving survey response rate.Conclusions: An offer for a free on-line CME activity did not improve physician survey response rate. On the contrary, the offer for a free CME activity actually appeared to worsen the response rate.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3327628/pdf/1756-0500-5-129.pdf
Abstract
Background: Usability is the ease with which something can be used, but this essential concept appears to be rarely considered when using technology for teaching and learning in medical education. Context: There is an increasing use of technology in an attempt to enhance teaching and learning in medical education, from the use of websites and virtual learning environments (VLEs) to interactive online tutorials to blogs and podcasts. However, research suggests that the potential use of technology to enhance teaching and learning in medical education is often not fully realised.
via E-learning: the essential usability perspective. [Clin Teach. 2013] – PubMed – NCBI.
Abstract
INTRODUCTION:
Each year millions of patients undergo procedures that require moderate sedation. These patients are at risk of complications from oversedation that can progress to respiratory depression or even death. This article describes the creation of a simulation-based medical education course for nonanesthesiologists who use sedation in their specialty practice and preliminary data from our precourse and postcourse assessments.
via An Approach to Moderate Sedation Simulation Tr… [Simul Healthc. 2013] – PubMed – NCBI.
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