Real-life examples of how to apply intelligence in the healthcare industry through innovative analytics
Healthcare analytics offers intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively.
Transforming Healthcare Analytics: The Quest for Healthy Intelligence shares real-world use cases of a healthcare company that leverages people, process, and advanced analytics technology to deliver exemplary results.
This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors--a data management and analytics specialist and a healthcare finance executive--share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence to prepare for the future, and more. This book:
Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important source of information for CFO's, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
MICHAEL N. LEWIS is Senior Director of Enterprise Analytics at Cleveland Clinic. He directs an industry-leading, cross-functional team to promote the design, implementation, and monitoring of innovative solutions to drive fact-based decision making for planning, management, measurement, and learning.
THO H. NGUYEN is an author, a data and analytics adviser, and a technology enthusiast delivering value-added business solutions with emphasis on increasing economics, governance, and performance. With over 20 years in leadership roles, he has extensive experience in management, an active speaker on analytic and data management topics, a philanthropist who believes in "paying it forward," and a community leader and volunteer promoting inclusion and diversity.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : Fair. 1. With dust jacket. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. N° de réf. du vendeur 111961354X-7-1-29
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Hardback. Etat : New. The healthcare industry continues to face challenges in reducing costs and improving outcomes. Although healthcare is improving, many problems remain: longer wait times, shorter patient time with doctors, and redundant processes for each point of contact, to name but a few. Clinicians have become data clerks-their notes inadequately captured and communicated within the healthcare ecosystem. Healthcare data is overwhelming practitioners to such a degree that they are unable to fully review, correctly diagnose, and provide treatment for ailments in a timely manner. Innovative analytical technologies addressing such problems in healthcare are readily available, yet they are often not implemented or considered viable solutions in many instances. Transforming Healthcare Analytics: The Quest for Healthy Intelligence explains how healthcare professionals can transform their industry by integrating technology with people and process to gain operational and strategic intelligence. The text considers the future of healthcare in the context of digital transformation with cloud, machine learning, and artificial intelligence. Presenting unique insights based on their respective backgrounds in finance and in technology, authors Michael N. Lewis and Tho H. Nguyen offer real-world cases of healthcare problems addressed by insight-driven decisions while emphasizing the importance of people, process, and technology. The authors first highlight critical analytical and business skills, the need to recruit, train, and organize analytic talent, ways to change sponsorship culture, and the pressing issues that could be solved with current and emerging technologies. Subsequent chapters cover topics including the three core elements of process, the business problem of healthcare, how analytics can improve decision-making, process change within an organization, and the need for creating a repeatable, sustainable playbook based on data-driven insights. A complete overview of available technology is followed by a practical, actionable framework for developing a comprehensive analytics strategy. Improving an organization through data analytics requires assembling cross-functional teams, providing clear leadership, fostering analytic talent throughout organizations, and applying available technologies effectively and efficiently. Designed for decision makers, analysts, and healthcare professionals, Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important resource for understanding how technology-coupled with people and process-is leading the way to the digital transformation in healthcare. N° de réf. du vendeur LU-9781119613541
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Hardcover. Etat : new. Hardcover. The healthcare industry continues to face challenges in reducing costs and improving outcomes. Although healthcare is improving, many problems remain: longer wait times, shorter patient time with doctors, and redundant processes for each point of contact, to name but a few. Clinicians have become data clerkstheir notes inadequately captured and communicated within the healthcare ecosystem. Healthcare data is overwhelming practitioners to such a degree that they are unable to fully review, correctly diagnose, and provide treatment for ailments in a timely manner. Innovative analytical technologies addressing such problems in healthcare are readily available, yet they are often not implemented or considered viable solutions in many instances. Transforming Healthcare Analytics: The Quest for Healthy Intelligence explains how healthcare professionals can transform their industry by integrating technology with people and process to gain operational and strategic intelligence. The text considers the future of healthcare in the context of digital transformation with cloud, machine learning, and artificial intelligence. Presenting unique insights based on their respective backgrounds in finance and in technology, authors Michael N. Lewis and Tho H. Nguyen offer real-world cases of healthcare problems addressed by insight-driven decisions while emphasizing the importance of people, process, and technology. The authors first highlight critical analytical and business skills, the need to recruit, train, and organize analytic talent, ways to change sponsorship culture, and the pressing issues that could be solved with current and emerging technologies. Subsequent chapters cover topics including the three core elements of process, the business problem of healthcare, how analytics can improve decision-making, process change within an organization, and the need for creating a repeatable, sustainable playbook based on data-driven insights. A complete overview of available technology is followed by a practical, actionable framework for developing a comprehensive analytics strategy. Improving an organization through data analytics requires assembling cross-functional teams, providing clear leadership, fostering analytic talent throughout organizations, and applying available technologies effectively and efficiently. Designed for decision makers, analysts, and healthcare professionals, Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important resource for understanding how technologycoupled with people and processis leading the way to the digital transformation in healthcare. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781119613541
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