Primary care physician attitudes concerning follow-up of abnormal test results and ambulatory decision support systems
ABSTRACT Failures to follow-up abnormal test results are common in ambulatory care. Information systems could assist providers with abnormal test result tracking, yet little is known about primary care providers attitudes toward outpatient decision support systems.
A cross-sectional survey of 216 primary care physicians (PCPs) that utilize a single electronic medical record (EMR) without computer-based clinical decision support.
The overall response rate was 65% (140/216). Less than one-third of the respondents were satisfied with their current system to manage abnormal laboratory, radiographs, Pap smear, or mammograms results. Only 15% of providers were satisfied with their system to notify patients of abnormal results. Over 90% of respondents felt automated systems to track abnormal test results would be useful. Seventy-nine percent of our respondents believed that they could comply better with guidelines through electronic clinical reminders.
Most PCPs were not satisfied with their methods for tracking abnormal results. Respondents believed that clinical decision support systems (CDSS) would be useful and could improve their ability to track abnormal results.
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ABSTRACT: Decision context, knowledge management, decision makers, and decision strategy are fundamental components for understanding decision support systems (DSSs). This paper describes the specific case of designing a framework for an intelligent DSS in the context of pathology test ordering by general practitioners (GPs). In doing so it illustrates the processes of discovering practical and relevant knowledge from pathology request data generated and stored in a professional pathology company, investigates and understands the decision makers (GPs) through a survey about their current practices in test ordering and their requirements for decision support, and finally proposes an intelligent decision support framework as the decision strategy to support GPs in ordering pathology tests more effectively and appropriately. The process and framework developed through this case contributes effective guidance for practitioners and theoretical understanding concerning intelligent decision support in a complex environment.Decision Support Systems 05/2013; 55(2):476–487. DOI:10.1016/j.dss.2012.10.006 · 2.04 Impact Factor
Revista Chilena de Obstetricia y Ginecologia 12/2009; 75(5):284-289. DOI:10.4067/S0717-75262010000500002
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ABSTRACT: This study was conducted to evaluate the hospital information system (HIS) software based on user requirements in Iran. Through a descriptive study 5 vendors which had the best selling software products among the university hospitals were selected. HIS softwares were evaluated based on checklist and through the observation in 8 hospitals according to defined criteria. SPSS and descriptive statistics were employed to analyze the collected data. Maximum user's expectations were supported by Tarrahan Boali. However, Tarrahan Bali has not efficiently met user expectations in all departments; medical records (74.5%), pharmacy (58.6%), laboratory (74.5%), nursing (23.3%), radiology (51.4%) and financial (65.4%). Minimum user requirements (29%) have been met by Microafzar Qeshm. There was no HIS software to meet the end users expectations in all departments completely. Failure to meet the user expectations among software that addresses all user expectations appropriately could be ascribed to poor user participation and revealed that HIS adoption in Iran is still in infancy. Conducting periodical evaluation; employing a comprehensive tool for HIS evaluation is crucial to ensure their effective implementation and improvement.