(C) 2012 Elsevier Ltd. All rights reserved.”
“OBJECTIVE To determine the cumulative incidence of granulomatous disease among patients with testicular germ cell tumor (GCT) at the University of Pennsylvania and to describe these patients’ characteristics and disease outcomes.\n\nMATERIALS AND METHODS A computerized search of a large electronic medical database at the University of Pennsylvania was conducted to identify all patients from 1997 to 2012 with a diagnosis of granulomatous disease and GCT.\n\nRESULTS A total of 14 patients
were identified. The median age at the diagnosis of GCT was 32.5 years, and the median age at the diagnosis of granulomatous disease was 31 years. Most patients were diagnosed with granulomatous disease either concomitantly LGX818 supplier or after their diagnosis of GCT. The estimated cumulative incidence of granulomatous disease in patients with GCT at the University of Pennsylvania from 1997 to 2012 was 168.7/100,000.\n\nCONCLUSION These data suggest a strong association between granulomatous disease and GCTs. The observed incidence of granulomatous disease among patients with AZD8055 GCT
represents a 10-fold increase compared with the general population. Additional investigation is needed to elucidate the true nature of this association. UROLOGY 80: 1303-1306, 2012. (C) 2012 Elsevier Inc.”
“Background: The main objective of this research is to identify, categorize, and analyze barriers perceived by physicians to the adoption of Electronic Medical Records (EMRs) in order to provide implementers with beneficial intervention options.\n\nMethods: A systematic literature review, based on research papers from 1998 to 2009, concerning see more barriers to the acceptance of EMRs by physicians was conducted. Four databases, “Science”, “EBSCO”, “PubMed” and “The Cochrane Library”, were used in the literature search. Studies were included in the analysis if they reported on physicians’ perceived barriers to implementing and using electronic
medical records. Electronic medical records are defined as computerized medical information systems that collect, store and display patient information.\n\nResults: The study includes twenty-two articles that have considered barriers to EMR as perceived by physicians. Eight main categories of barriers, including a total of 31 sub-categories, were identified. These eight categories are: A) Financial, B) Technical, C) Time, D) Psychological, E) Social, F) Legal, G) Organizational, and H) Change Process. All these categories are interrelated with each other. In particular, Categories G (Organizational) and H (Change Process) seem to be mediating factors on other barriers. By adopting a change management perspective, we develop some barrier-related interventions that could overcome the identified barriers.\n\nConclusions: Despite the positive effects of EMR usage in medical practices, the adoption rate of such systems is still low and meets resistance from physicians.