[Use of a pharmaceutical decision support system in the valuation of hospital stays: Evaluation through 3 examples in collaboration with the department of medical information].

IF 2.2 4区 医学 Q3 PHARMACOLOGY & PHARMACY Therapie Pub Date : 2024-07-31 DOI:10.1016/j.therap.2024.07.004
Laurine Robert, Ali Laraba, Amélie Bruandet, Alexandra Royer, Pascal Odou, Bertrand Décaudin, Chloé Rousselière
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Abstract

Pharmacy decision support systems (PDSS) help clinical pharmacists to prevent and detect adverse drug events. The coding of hospital stays by the department of medical information (DMI) requires expertise, as it determines hospital revenues and the epidemiological data transmitted via the French national hospital database. The aim was to study the interest and feasibility of using a PDSS, in collaboration with the DMI, to help with the coding of hospital stays. Over 5 months, three rules were implemented in the PDSS to detect gout, Parkinson's disease and oro-pharyngeal candidiasis. The PDSS alerts were analyzed by a pharmacy resident and then forwarded to the DMI, who analyzed the stays to see whether or not the coding for the disease corresponding to the alert was present. The absence of coding was evaluated and tracked, along with the resulting change in severity and valuation. Three hundred and ninety-nine alerts from the PDSS were analyzed and sent to the DMI, representing 211 stays and 309 uniform hospital standardized discharge abstract (UHSDA) in the fields of medicine, surgery and obstetrics. Two hundred and eight (67.3%) UHSDA did not have the coding corresponding to the alert. For the majority of these UHSDAs, apart from diagnostic precision, there was no impact on the valuation of stays. For 4 UHSDAs, the addition of the diagnosis code led to an increase in the value of the stay and the severity of the homogeneous patient groups. The total revaluation corresponding to this modification was €5416. The use of PDSS has helped in the precision of diagnosis coding and the valuation of stays. This result must be weighed against the time invested in analyzing alerts and associated coding. An improvement in disease detection and data processing is needed to be feasible in practice, given the more than 227,600 RSS performed per year at our facility.

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[在住院评估中使用医药决策支持系统:通过与医疗信息部门合作的 3 个实例进行评估]。
药学决策支持系统(PDSS)可帮助临床药剂师预防和检测药物不良事件。医疗信息部(DMI)对住院时间的编码需要专业知识,因为它决定了医院的收入和通过法国国家医院数据库传输的流行病学数据。我们的目的是研究与 DMI 合作使用 PDSS 帮助对住院时间进行编码的兴趣和可行性。在 5 个月的时间里,PDSS 实施了三项规则,以检测痛风、帕金森病和口咽念珠菌病。药房住院医师对 PDSS 警报进行分析,然后将其转发给 DMI,由 DMI 对住院病历进行分析,以确定是否存在与警报相对应的疾病编码。对未进行编码的情况以及由此导致的严重程度和估价变化进行评估和跟踪。经过分析,有 399 份来自 PDSS 的警报被发送至 DMI,这些警报代表了内科、外科和产科领域的 211 次住院和 309 份统一医院标准化出院摘要 (UHSDA)。有 28 份(67.3%)UHSDA 没有与警报相对应的编码。对于其中的大多数 UHSDAs,除了诊断精确度外,对住院估价没有影响。对于 4 个统一病历数据系统,增加诊断代码会导致同质病人组的住院价值和严重程度增加。与这一修改相对应的重新估值总额为 5416 欧元。PDSS 的使用有助于提高诊断编码的准确性和住院费用的估价。这一结果必须与分析警报和相关编码所投入的时间相权衡。考虑到我们医院每年要进行 227,600 多例 RSS,因此需要改进疾病检测和数据处理,以便在实践中切实可行。
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来源期刊
Therapie
Therapie 医学-药学
CiteScore
3.50
自引率
7.70%
发文量
132
审稿时长
57 days
期刊介绍: Thérapie is a peer-reviewed journal devoted to Clinical Pharmacology, Therapeutics, Pharmacokinetics, Pharmacovigilance, Addictovigilance, Social Pharmacology, Pharmacoepidemiology, Pharmacoeconomics and Evidence-Based-Medicine. Thérapie publishes in French or in English original articles, general reviews, letters to the editor reporting original findings, correspondence relating to articles or letters published in the Journal, short articles, editorials on up-to-date topics, Pharmacovigilance or Addictovigilance reports that follow the French "guidelines" concerning good practice in pharmacovigilance publications. The journal also publishes thematic issues on topical subject. The journal is indexed in the main international data bases and notably in: Biosis Previews/Biological Abstracts, Embase/Excerpta Medica, Medline/Index Medicus, Science Citation Index.
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