Expert consensus on artificial intelligence-assisted pharmaceutical care
- VernacularTitle:人工智能辅助药学服务专家共识
- Author:
Commission PHARMACY
1
;
Association GERIATRIC
1
;
Society SUB-ASSOCIATION
1
Author Information
1. Pharmacy Information Expert Committee of the National Institute of Hospital Administration under the National Health Commission，Geriatric Pharmacy Professional Committee of the China Medicine Education Association，Sub-association of Digital and Intelligent Pharmacy Management and Services of the Beijing Integrative Medicine Society
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
pharmaceutical care;
expert consensus;
hospital pharmacy
- From:
China Pharmacy
2025;36(13):1553-1562
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To provide guidance for the scientific and standardized application of artificial intelligence （AI） technology in supporting pharmaceutical care services， and to promote the high-quality development of pharmaceutical care. METHODS Using keywords such as “artificial intelligence” and “pharmaceutical care”， a comprehensive search was conducted across domestic and international databases and relevant policy documents. Drawing upon practical experience in AI-assisted pharmaceutical care services in China， a consensus framework and preliminary recommendations were drafted. Consensus was defined as agreement by 70% or more of expert panel members. RESULTS & CONCLUSIONS Through two rounds of the Delphi method and multiple rounds of discussions， 23 strong recommendations （approval rate ＞90%） were formulated. These address the definition， scope， objectives， multiple application scenarios （including pharmaceutical outpatient， medication reconciliation， medication education， adverse drug event prediction and monitoring， home-based pharmaceutical care services， and drug supply）， ethical considerations and accountability， challenges encountered， and quality control recommendations for AI-assisted pharmaceutical care. Intended for use by professional technical staff engaged in pharmaceutical care， managers， and AI technology developers within healthcare institutions， these recommendations provide guidance for the practice of pharmaceutical care in the era of AI.
