Grace Crossette-Thambiah, Daniel Berleant, Ahmed AbuHalimeh
{"title":"管理式医疗保健的信息质量框架。","authors":"Grace Crossette-Thambiah, Daniel Berleant, Ahmed AbuHalimeh","doi":"10.2147/JHL.S473833","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Data and information quality play a critical role in the managed healthcare sector, where accurate and reliable information is crucial for optimal decision-making, operations, and patient outcomes. However, managed care organizations face significant challenges in ensuring information quality due to the complexity of data sources, regulatory requirements, and the need for effective data management practices. The goal of this article is to develop and justify an information quality framework for managed healthcare, thereby enabling the sector to better meet its unique information quality challenges.</p><p><strong>Methods: </strong>The information quality framework provided here was designed using other information quality frameworks as exemplars, as well as a qualitative survey involving interviews of twenty industry leaders structured around 17 questions. The responses were analyzed and tabulated to obtain insights into the information quality needs of the managed healthcare domain.</p><p><strong>Results: </strong>The novel framework we present herein encompasses strategies for data integration, standardization and validation, and is followed by a justification section that draws upon existing literature and information quality frameworks in addition to the survey of leaders in the industry.</p><p><strong>Discussion: </strong>Emphasizing objectivity, utility, integrity, and standardization as foundational pillars, the proposed framework provides practical guidelines to empower healthcare organizations in effectively managing information quality within the managed care model.</p>","PeriodicalId":44346,"journal":{"name":"Journal of Healthcare Leadership","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11445674/pdf/","citationCount":"0","resultStr":"{\"title\":\"An Information Quality Framework for Managed Health Care.\",\"authors\":\"Grace Crossette-Thambiah, Daniel Berleant, Ahmed AbuHalimeh\",\"doi\":\"10.2147/JHL.S473833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Data and information quality play a critical role in the managed healthcare sector, where accurate and reliable information is crucial for optimal decision-making, operations, and patient outcomes. However, managed care organizations face significant challenges in ensuring information quality due to the complexity of data sources, regulatory requirements, and the need for effective data management practices. The goal of this article is to develop and justify an information quality framework for managed healthcare, thereby enabling the sector to better meet its unique information quality challenges.</p><p><strong>Methods: </strong>The information quality framework provided here was designed using other information quality frameworks as exemplars, as well as a qualitative survey involving interviews of twenty industry leaders structured around 17 questions. The responses were analyzed and tabulated to obtain insights into the information quality needs of the managed healthcare domain.</p><p><strong>Results: </strong>The novel framework we present herein encompasses strategies for data integration, standardization and validation, and is followed by a justification section that draws upon existing literature and information quality frameworks in addition to the survey of leaders in the industry.</p><p><strong>Discussion: </strong>Emphasizing objectivity, utility, integrity, and standardization as foundational pillars, the proposed framework provides practical guidelines to empower healthcare organizations in effectively managing information quality within the managed care model.</p>\",\"PeriodicalId\":44346,\"journal\":{\"name\":\"Journal of Healthcare Leadership\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11445674/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Healthcare Leadership\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/JHL.S473833\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Healthcare Leadership","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/JHL.S473833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
An Information Quality Framework for Managed Health Care.
Introduction: Data and information quality play a critical role in the managed healthcare sector, where accurate and reliable information is crucial for optimal decision-making, operations, and patient outcomes. However, managed care organizations face significant challenges in ensuring information quality due to the complexity of data sources, regulatory requirements, and the need for effective data management practices. The goal of this article is to develop and justify an information quality framework for managed healthcare, thereby enabling the sector to better meet its unique information quality challenges.
Methods: The information quality framework provided here was designed using other information quality frameworks as exemplars, as well as a qualitative survey involving interviews of twenty industry leaders structured around 17 questions. The responses were analyzed and tabulated to obtain insights into the information quality needs of the managed healthcare domain.
Results: The novel framework we present herein encompasses strategies for data integration, standardization and validation, and is followed by a justification section that draws upon existing literature and information quality frameworks in addition to the survey of leaders in the industry.
Discussion: Emphasizing objectivity, utility, integrity, and standardization as foundational pillars, the proposed framework provides practical guidelines to empower healthcare organizations in effectively managing information quality within the managed care model.
期刊介绍:
Efficient and successful modern healthcare depends on a growing group of professionals working together as an interdisciplinary team. However, many forces shape the delivery of healthcare; changes are being driven by the markets, transformations in concepts of health and wellbeing, technology and research and discovery. Dynamic leadership will guide these necessary transformations. The Journal of Healthcare Leadership is an international, peer-reviewed, open access journal focusing on leadership for the healthcare professions. The publication strives to amalgamate current and future healthcare professionals and managers by providing key insights into leadership progress and challenges to improve patient care. The journal aspires to inform key decision makers and those professionals with ambitions of leadership and management; it seeks to connect professionals who are engaged in similar endeavours and to provide wisdom from those working in other industries. Senior and trainee doctors, nurses and allied healthcare professionals, medical students, healthcare managers and allied leaders are invited to contribute to this publication