刍议基于医院管理的临床试验受试者的知情同意权保护

随着临床试验在国内日渐频繁,知情同意权作为受试者的一项权利已经得到普遍认同,现在医患双方都比较注重诊疗实践中一般的知情同意,而对临床试验中受试者这一特殊群体的"知情同意"没有引起足够的重视,导致在实践中这项权利常被侵犯,为医疗纠纷埋下了隐患。医院作为临床试验的必经场所,理应肩负起保护受试者权益的重任,文章从医院管理着手通过分析目前受试者知情同意权的保护现状进而探讨保护措施。     

Balloon Retrograde Transvenous Obliteration Versus Endoscopic Cyanoacrylate in Bleeding Gastric Varices: Comparison of Rebleeding and Mortality with Extended Follow-up

Purpose

To assess short- and long-term mortality and rebleeding with endoscopic cyanoacrylate (EC) versus balloon-occluded retrograde transvenous obliteration (BRTO).

Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records

ObjectiveTo develop an algorithm for building longitudinal medication dose datasets using information extracted from clinical notes in electronic health records (EHRs).Materials and MethodsWe developed an algorithm that converts medication information extracted using natural language processing (NLP) into a usable format and builds longitudinal medication dose datasets. We evaluated the algorithm on 2 medications extracted from clinical notes of Vanderbilt’s EHR and externally validated the algorithm using clinical notes from the MIMIC-III clinical care database.ResultsFor the evaluation using Vanderbilt’s EHR data, the performance of our algorithm was excellent; F1-measures were ≥0.98 for both dose intake and daily dose. For the external validation using MIMIC-III, the algorithm achieved F1-measures ≥0.85 for dose intake and ≥0.82 for daily dose.DiscussionOur algorithm addresses the challenge of building longitudinal medication dose data using information extracted from clinical notes. Overall performance was excellent, but the algorithm can perform poorly when incorrect information is extracted by NLP systems. Although it performed reasonably well when applied to the external data source, its performance was worse due to differences in the way the drug information was written. The algorithm is implemented in the R package, “EHR,” and the extracted data from Vanderbilt’s EHRs along with the gold standards are provided so that users can reproduce the results and help improve the algorithm.ConclusionOur algorithm for building longitudinal dose data provides a straightforward way to use EHR data for medication-based studies. The external validation results suggest its potential for applicability to other systems.