2020 03 v.29 234-238
人工智能应用于药学服务的探索与思考
基金项目(Foundation):
中华医学会医学教育分会、中国高等教育学会医学教育专业委员会2018年医学教育研究立项课题(编号2018A-N19014);;
上海市教育委员会“2019年度上海市教育科学研究项目”(编号C19077);;
复旦大学2019年度本科教学研究与改革实践项目(编号2019A014);复旦大学上海医学院本科生创新创业计划(卿枫学者)项目(编号QF1801)资助
邮箱(Email):
DOI:
10.19577/j.1007-4406.2020.03.019
中文作者单位:
复旦大学药学院临床药学系;
摘要(Abstract):
人工智能(AI)与药学服务的交叉渗透和深度融合,可大大提升药学服务的效率、质量和水平,推动临床药学学科快速发展。笔者总结了AI在智能调剂服务、智慧药房、药学监护和精准药物治疗等药学服务领域的探索和应用,分析了"AI+药学服务"带来的机遇和面临的挑战,展望了"AI+药学服务"未来发展趋势,旨在促进临床合理用药和疾病精准药物治疗,为患者和公众提供个性化、多元化、精准化和高品质的智慧药学服务。
关键词(KeyWords):
人工智能;;药学服务;;临床药学;;智慧药学
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参考文献
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[31]MILLER S,NIMRI R,ATLAS E,et al.Automatic learning algorithm for the MD-logic artificial pancreas system[J].Diabetes Technol Ther,2010,13(10):983．
[32]唐金成，刘鲁．保险科技时代“AI+保险”模式应用研究[J]．西南金融，2019,454(5):64．
[33]赵飞，兰蓝，曹战强，等．我国人工智能在健康医疗领域应用发展现状研究[J]．中国卫生信息管理杂志，2018,15(3):344．
[34]王海星，田雪晴，游茂，等．人工智能在医疗领域应用现状、问题及建议[J]．卫生软科学，2018,32(5):3．
[35]闫坤如，马少卿．人工智能伦理问题及其规约之径[J]．东北大学学报:社会科学版，2018,20(4):331.
[2]高文．解读新一代人工智能发展[J]．软件和集成电路，2018,25(11):10．
[3]■UFAR A,MRHAR A,ROBNIK-IKONJA M.Identifying roles of clinical pharmacy with survey evaluation:ar Xiv:1406.4287[J/OL].(2014-06-17)[2019-11-10].https://arxiv.org/ftp/arxiv/papers/1406/1406.4287.pdf．
[4]Le GONIDEC P,DIALLO M L,DJOUSSAKAMBOU S,et al.Performances of an automated dispensing system combined with a computerized prescription order entry[J].Ann Pharm Fr,2009,67(2):84．
[5]GORBACH C,BLANTON L,LUKAWSKI B A,et al.Frequency of and risk factors for medication errors by pharmacists during order verification in a tertiary care medical center[J].Am J Health Syst Pharm,2015,72(17):1471．
[6]BONTIKOUS S,GUERIN A,POSTAIRE M,et al.A drug storage delivery robot in a cold room:a new feature to consider[J].JPharm Clin,2019,38(1):24．
[7]IWAMOTO T,MORIKAWA T,HIOKI M,et al.Performance evaluation of the compounding robot,APOTECAchemo,for injectable anticancer drugs in a Japanese hospital[J].J Pharm Health Care Sci,2017,3(1):12．
[8]林田泉，陈瑶．静脉用药医嘱自动审核模块的开发与应用[J]．临床合理用药杂志，2018,11(3):95．
[9]钟燕珠，李辉诚，区炳雄，等．基于“互联网+中医药”背景下我院智慧药房管理模式的建立及实践[J]．中国药房，2019,30(18):2460．
[10]王亚峰，贺葵邦，白菊，等．基于“药师+智慧软件”的PIVAS全医嘱审核药学服务模式[J]．医药导报，2019,38(3):403．
[11]LAMG,JOUINI O,STAL-LE CARDINAL J.Combining soft systems methodology,ethnographic observation,and discrete-event simulation:a case study in cancer care[J].JORS,2019,DOI:10.1080/01605682.2019.1610339．
[12]佚名．沪首批15家医院建成“智慧药房”[J]．中国自动识别技术，2016,11(5):36．
[13]郭潇雅．全国首家无人药房亮相[J]．中国医院院长，2018,14(6):19．
[14]药师小乔:更懂药的智能机器人[EB/OL].[2020-02-24].http://www.chiduiyao.com．
[15]WAGNER D J.Pharmacy medication verification system:US09916715[P].2018-05-13．
[16]AHMAD A,BALKRISHNAN R,MANNA P,et al.An evaluation of knowledge,attitude and practice of Indian pharmacists towards adverse drug reaction reporting:a pilot study[J].Perspect Clin Res,2013,4(4):204．
[17]CLELAND B,WALLACE J,BOND R,et al.Insights into antidepressant prescribing using open health data[J].Big Data Res,2018,12:41．
[18]WU T,GAO C C,LIN J S,et al.Active monitoring of adverse drug reactions with neural,network technology[J].Chin Med J(Engl),2017,130(12):1498．
[19]MENDES D,ALVES C,LOUREIRO M,et al.Drug-induced hypersensitivity:a 5-year retrospective study in a hospital electronic health records database[J].J Clin Pharm Ther,2019,44(1):54．
[20]SILVER D,HUANG A,MADDISON C J,et al.Mastering the game of go with deep neural networks and tree search[J].Nature,2016,529(7587):484．
[21]MOLOKHIA M,MAJEED A.Current and future perspectives on the management of polypharmacy[J].BMC Fam Pract,2017,18(1):70．
[22]LALA B,NAHER S,MAHMOOD M A I,et al.Development of a smart medical prescription service model[A]//International conference on electrical engineering and information communication technology[C].New York:IEEE,2018:369-374．
[23]BRECKENRIDGE A,ARONSON J K,BLASCHKE T F,et al.Poor medication adherence in clinical trials:consequences and solutions[J].Nat Rev Drug Discov,2017,16(3):149．
[24]BROWNE S H,PELOQUIN C,SANTILLO F,et al.Digitizing medicines for remote capture of oral medication adherence using co-encapsulation[J].Clin Pharmacol Ther,2018,103(3):502．
[25]WELLINGTON B.Effective patient education,a guide to increased adherence[J].Int J Orthopaedic Trauma Nursing,2012,16(3):162．
[26]LINAKIS M W,COOK S F,KUMAR S S,et al.Polymorphic expression of UGT1A9 is associated with variable acetaminophen glucuronidation in neonates:a population pharmacokinetic and pharmacogenetic study[J].Clin Pharmacokinet,2018,57(10):1325．
[27]OZDEMIR V,ENDRENYI L.A new approach to measure adherence to medicines using biomarkers and sensors[J].OMICS,2019,23(7):334．
[28]SHORTLIFFE E H,SEPúLVEDA M J.Clinical decision support in the era of artificial intelligence[J].JAMA,2018,320(21):2199．
[29]NIMRI R,DANNE T,KORDONOURI O,et al.The“Glucositter”overnight automated closed loop system for type 1 diabetes:a randomized crossover trial[J].Pediatr Diabetes,2013,14(3):159．
[30]NIMRI R,ATLAS E,AJZENSZTEJN M,et al.Feasibility study of automated overnight closed-loop glucose control under MD-logic artificial pancreas in patients with type 1 diabetes:the DREAMproject[J].Diabetes Technol Ther,2012,14(8):728．
[31]MILLER S,NIMRI R,ATLAS E,et al.Automatic learning algorithm for the MD-logic artificial pancreas system[J].Diabetes Technol Ther,2010,13(10):983．
[32]唐金成，刘鲁．保险科技时代“AI+保险”模式应用研究[J]．西南金融，2019,454(5):64．
[33]赵飞，兰蓝，曹战强，等．我国人工智能在健康医疗领域应用发展现状研究[J]．中国卫生信息管理杂志，2018,15(3):344．
[34]王海星，田雪晴，游茂，等．人工智能在医疗领域应用现状、问题及建议[J]．卫生软科学，2018,32(5):3．
[35]闫坤如，马少卿．人工智能伦理问题及其规约之径[J]．东北大学学报:社会科学版，2018,20(4):331.
基本信息:
DOI：10.19577/j.1007-4406.2020.03.019
中图分类号:R95;TP18
引用信息:
[1]刘蕙嘉,马国.人工智能应用于药学服务的探索与思考[J].中国临床药学杂志,2020,29(03):234-238.DOI:10.19577/j.1007-4406.2020.03.019.
基金信息:
中华医学会医学教育分会、中国高等教育学会医学教育专业委员会2018年医学教育研究立项课题(编号2018A-N19014);; 上海市教育委员会“2019年度上海市教育科学研究项目”(编号C19077);; 复旦大学2019年度本科教学研究与改革实践项目(编号2019A014);复旦大学上海医学院本科生创新创业计划(卿枫学者)项目(编号QF1801)资助