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印度医疗环境中的临床决策支持系统:益处、障碍及未来影响

Clinical Decision Support Systems in Indian Healthcare Settings: Benefits, Barriers, and Future Implications.

作者信息

Thorakkattil Shabeer Ali, Sridhar Sathvik Belagodu, Abdulsalim Suhaj, Karattuthodi Mohammed Salim, Chandra Prashant, Unnikrishnan Mazhuvanchery Kesavan

机构信息

Pharmacy Services Department, Johns Hopkins Aramco Healthcare (JHAH), Dhahran 34465, Saudi Arabia.

Department of Pharmacy Practice and Clinical Pharmacy, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM) Selangor Branch, Puncak Alam Campus, Puncak Alam 42300, Selangor, Malaysia.

出版信息

Healthcare (Basel). 2025 Sep 4;13(17):2220. doi: 10.3390/healthcare13172220.

DOI:10.3390/healthcare13172220
PMID:40941571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12428655/
Abstract

India's vast and diverse population presents significant healthcare challenges owing to its scale, heterogeneity, and rapid growth. The Indian healthcare system, spanning the public, private, and non-profit sectors, shows marked inter-state variation in health indicators. Persistent gaps include variable quality of service, fragmented data, and uneven access to affordable care. Health information technology (HIT), particularly clinical decision support systems (CDSSs) integrated with electronic health records (EHRs), offers a path to more consistent evidence-based decisions. When implemented effectively, CDSSs can improve patient outcomes, reduce medical errors, and enhance quality through support for diagnosis, treatment, patient management, and prevention. Although India is rapidly adopting digital health tools, CDSS uptake remains limited because of infrastructure constraints, low awareness, data quality issues, integration challenges with EHRs, professional resistance, and insufficient training. Strategic action is required to overcome these barriers. Priorities include investment in robust IT infrastructure, comprehensive training programs, and public awareness initiatives, along with tighter integration of CDSSs with EHR platforms. With coordinated efforts by government agencies, healthcare institutions, and technology providers to address these barriers, India can leverage CDSSs to improve patient care and outcomes.

摘要

由于规模庞大、人口构成多样且增长迅速,印度面临着重大的医疗保健挑战。印度的医疗保健系统涵盖公共、私营和非营利部门,各邦之间的健康指标存在显著差异。长期存在的差距包括服务质量参差不齐、数据零散以及获得可负担医疗服务的机会不均等。健康信息技术(HIT),特别是与电子健康记录(EHR)集成的临床决策支持系统(CDSS),为做出更一致的循证决策提供了一条途径。如果有效实施,CDSS可以改善患者预后、减少医疗差错,并通过支持诊断、治疗、患者管理和预防来提高医疗质量。尽管印度正在迅速采用数字健康工具,但由于基础设施限制、认识不足、数据质量问题、与EHR的集成挑战、专业人员的抵制以及培训不足,CDSS的采用率仍然有限。需要采取战略行动来克服这些障碍。优先事项包括投资强大的信息技术基础设施、开展全面的培训计划和提高公众意识的举措,以及使CDSS与EHR平台更紧密地集成。通过政府机构、医疗机构和技术提供商的协同努力来克服这些障碍,印度可以利用CDSS来改善患者护理和预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08fc/12428655/c72fa4f70106/healthcare-13-02220-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08fc/12428655/c72fa4f70106/healthcare-13-02220-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08fc/12428655/c72fa4f70106/healthcare-13-02220-g001.jpg

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本文引用的文献

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Designing Clinical Decision Support Systems (CDSS)-A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review.设计临床决策支持系统(CDSS)——基于用户中心视角的设计特征、挑战及影响:系统评价
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临床决策支持系统在非传染性慢性病管理中的益处:针对性文献综述
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Treatment adherence and clinical outcomes amongst in people with drug-susceptible tuberculosis using medication monitor and differentiated care approach compared with standard of care in South Africa: a cluster randomized trial.在南非,与标准治疗相比,采用药物监测和差异化护理方法对药物敏感型肺结核患者进行治疗依从性和临床结局的研究:一项整群随机试验。
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