{"title":"用于增强医疗保健的机器学习:操作和临床线索概述","authors":"L. Roberts, H. Dhanoa, Sadie Lanes, J. Holdship","doi":"10.12968/bjhc.2022.0096","DOIUrl":null,"url":null,"abstract":"Machine learning has the potential to transform how healthcare is delivered. It can support clinical decision making, determine the risk, presence and prognosis of disease and help optimise patient pathways. Widespread use and access to digital health records mean implementing machine learning models is quicker and easier than ever before. It is imperative for clinical and operational leads to understand the principles behind machine learning, so they can evaluate how it may be helpful to them and their teams. This article provides an overview of machine learning and how it can be used to help solve common healthcare-related problems.","PeriodicalId":35342,"journal":{"name":"British Journal of Health Care Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Machine learning for enhanced healthcare: an overview for operational and clinical leads\",\"authors\":\"L. Roberts, H. Dhanoa, Sadie Lanes, J. Holdship\",\"doi\":\"10.12968/bjhc.2022.0096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Machine learning has the potential to transform how healthcare is delivered. It can support clinical decision making, determine the risk, presence and prognosis of disease and help optimise patient pathways. Widespread use and access to digital health records mean implementing machine learning models is quicker and easier than ever before. It is imperative for clinical and operational leads to understand the principles behind machine learning, so they can evaluate how it may be helpful to them and their teams. This article provides an overview of machine learning and how it can be used to help solve common healthcare-related problems.\",\"PeriodicalId\":35342,\"journal\":{\"name\":\"British Journal of Health Care Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British Journal of Health Care Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12968/bjhc.2022.0096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Health Care Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12968/bjhc.2022.0096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Machine learning for enhanced healthcare: an overview for operational and clinical leads
Machine learning has the potential to transform how healthcare is delivered. It can support clinical decision making, determine the risk, presence and prognosis of disease and help optimise patient pathways. Widespread use and access to digital health records mean implementing machine learning models is quicker and easier than ever before. It is imperative for clinical and operational leads to understand the principles behind machine learning, so they can evaluate how it may be helpful to them and their teams. This article provides an overview of machine learning and how it can be used to help solve common healthcare-related problems.
期刊介绍:
British Journal of Healthcare Management (BJHCM) is the independent monthly journal which is essential reading for all health service managers, policymakers, influencers and commentators. Launched in 1995, BJHCM mixes peer-reviewed management articles with interviews, analysis and comment to bring you a sharp, topical and valuable insight into what"s happening in and around the NHS. To reflect the way that the NHS is changing, the journal has recently received a major face-lift and several new features now appear alongside BJHCM"s excellent state-of-the-art review articles and celebrated columnists.