Top 10 departments in physicians’ responses to EMR alerts.

NIAID Data Ecosystem2026-05-10 收录

临床决策支持系统

医疗警报响应

数据链接：

https://figshare.com/articles/dataset/Top_10_departments_in_physicians_responses_to_EMR_alerts_/30332064 数据链接链接失效反馈

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Top 10 departments in physicians’ responses to EMR alerts.

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2025-10-10

Assessing the Quality of Clinical Data in a Computer-based Record for Calculating the Pneumonia Severity Index

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电子病历数据处理

Objective: This study examined whether clinical data routinely available in a computerized patient record (CPR) can be used to drive a complex guideline that supports physicians in real time and at th

PubMed Central10

DataSheet_1_The Development of Practice Recommendations for Drug-Disease Interactions by Literature Review and Expert Opinion.pdf

药物-疾病相互作用评估

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BackgroundDrug-disease interactions negatively affect the benefit/risk ratio of drugs for specific populations. In these conditions drugs should be avoided, adjusted, or accompanied by extra monitorin

NIAID Data Ecosystem10

Supplementary file 1_Clinical–pharmaceutical assessment of medication CDSS alerts: content appropriateness and patient relevance in clinical practice.pdf

临床决策支持系统

药物使用优化

BackgroundClinical pharmacy services and clinical decision support systems (CDSSs) are increasingly implemented to optimize medication safety. However, risks as overalerting can limit these benefits.

NIAID Data Ecosystem00

CYPRI: a clinical decision-making tool to select psychiatric patients for pharmacogenetic testing

精神科药物

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data for publication CYPRI: a clinical decision-making tool to select psychiatric patients for pharmacogenetic testing

Zenodo2026-06-15 更新10

Reproducibility, Performance, and Clinical Utility of a Genetic Risk Prediction Model for Prostate Cancer in Japanese

前列腺癌遗传风险预测

临床决策支持系统

Prostate specific antigen (PSA) is widely used as a diagnostic biomarker for prostate cancer (PC). However, due to its low predictive performance, many patients without PC suffer from the harms of unn

Figshare2016-01-19 更新10

Top 10 departments in physicians’ responses to EMR alerts.

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