InSPECt: Interactive Surveillance Portal for Evaluating Clinical support

InSPECt：用于评估临床支持的交互式监视门户

• 批准号: 8926466
• 负责人: ALLISON B MCCOY
• 金额: $ 12.07万
• 依托单位: TULANE UNIVERSITY OF LOUISIANA
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-30 至 2016-10-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8926466
• 关键词: Adopted; Adverse drug event; Clinical; Clinical Decision Support Systems; Community Hospitals; Disease; Dose; Drug Hypersensitivity; Electronic Health Record; Evaluation; Fatigue; Gold; Health Personnel; Healthcare; Human Resources; Individual; Informatics; Institution; Manuals; Measures; Methods; Modeling; Monitor; Online Systems; Outcome; Patients; Pharmaceutical Preparations; Process; Provider; Reporting; Research; Staging; Statistical Models; base; biomedical informatics; computerized; design; health information technology; improved; meetings; novel; patient safety; research clinical testing; response; therapy design; tool

DESCRIPTION (provided by applicant): Many healthcare providers are adopting clinical decision support (CDS) systems to improve patient safety and meet Meaningful Use requirements. Computerized alerts that prompt clinicians about drug- allergy, drug-drug, and drug-disease warnings or provide dosing guidance are most commonly implemented. Alert overrides can hinder improved patient outcomes, and detailed evaluation of the appropriateness of alerts and clinician responses is necessary; however, traditional methods require manual chart reviews, which are labor intensive and difficult to replicate for all alerts across institutions. This proposal focuses on developing nove methods for evaluating and improving CDS alerts that build upon traditional informatics approaches. Aim 1 begins by applying previously described models for predicting alert overrides then improves these models by adding covariates based on measures not previously assessed within biomedical informatics. Aim 2 expands the use of web-based monitoring tools, developing an interactive dashboard for evaluating CDS alert and response appropriateness that incorporates the models developed in Aim 1. It is hypothesized that these methods will allow informatics personnel to identify and improve poorly performing alerts, thus reducing alert fatigue and increasing patient safety.

描述（由申请人提供）：

项目成果

Cross-vendor evaluation of key user-defined clinical decision support capabilities: a scenario-based assessment of certified electronic health records with guidelines for future development.

对关键的用户定义的临床决策支持功能进行跨供应商评估：对经过认证的电子健康记录进行基于场景的评估，并提供未来开发指南。

• DOI: 10.1093/jamia/ocv073
• 发表时间: 2015
• 期刊: Journal of the American Medical Informatics Association : JAMIA
• 作者: McCoy,AllisonB;Wright,Adam;Sittig,DeanF
• 通讯作者: Sittig,DeanF