Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
This book shows healthcare professionals how to turn data points into meaningful knowledge upon which they can take effective action. Actionable intelligence can take many forms, from informing health policymakers on e¿ective strategies for the population to providing direct and predictive insights on patients to healthcare providers so they can achieve positive outcomes. It can assist those performing clinical research where relevant statistical methods are applied to both identify the e¿cacy of treatments and improve clinical trial design. It also benefits healthcare data standards groups…mehr
This book shows healthcare professionals how to turn data points into meaningful knowledge upon which they can take effective action. Actionable intelligence can take many forms, from informing health policymakers on e¿ective strategies for the population to providing direct and predictive insights on patients to healthcare providers so they can achieve positive outcomes. It can assist those performing clinical research where relevant statistical methods are applied to both identify the e¿cacy of treatments and improve clinical trial design. It also benefits healthcare data standards groups through which pertinent data governance policies are implemented to ensure quality data are obtained, measured, and evaluated for the bene¿t of all involved.
Although the obvious constant thread among all of these important healthcare use cases of actionable intelligence is the data at hand, such data in and of itself merely represents one element of the full structure of healthcare data analytics. This book examines the structure for turning data into actionable knowledge and discusses:
The importance of establishing research questions
Data collection policies and data governance
Principle-centered data analytics to transform data into information
Understanding the "why" of classified causes and effects
Narratives and visualizations to inform all interested parties
Actionable Intelligence in Healthcare is an important examination of how proper healthcare-related questions should be formulated, how relevant data must be transformed to associated information, and how the processing of information relates to knowledge. It indicates to clinicians and researchers why this relative knowledge is meaningful and how best to apply such newfound understanding for the betterment of all.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Die Herstellerinformationen sind derzeit nicht verfügbar.
Inhaltsangabe
Empowering Clinician-Scientists in the Information Age of Omics and Data Science Pamela A. Tamez and Mary B. Engler Making Data Matter: Identifying Care Opportunities for US Healthcare Transformation Mark A. Caron Turning Data into Enhanced Value for Patients Kyun Hee (Ken) Lee Data Analytics for the Clinical Researcher Minjae Kim Intelligent Healthcare: The Case of the Emergency Department Shivaram Poigai Arunachalam, Mustafa Sir, and Kalyan S. Pasupathy Network Analytics to Enable Decisions in Healthcare Management Uma Srinivasan, Arif Khan, and Shahadat Uddin Modeling and Analysis of Behavioral Health Data Using Graph Analytics Rose Yesha and Aryya Gangopadhyay The Heart of the Digital Workplace: Intelligent Search Moves the Measure from Efficiency to Proficiency for a Fortune Healthcare Company Jay Liebowitz and Diane Berry The Promise of Big Data Analytics-Transcending Knowledge Discovery through Point-of-Care Applications Lavi Oud Predictive Analytics and Machine Learning in Medicine L. Nelson Sanchez-Pinto and Matthew M. Churpek High-Dimensional Models and Analytics in Large Database Applications Michael Brimacombe Learning to Extract Actionable Evidence from Medical Insurance Claims Data Jieshi Chen and Artur Dubrawski The Role of Unstructured Data in Healthcare Analytics Amanda Dawson and Sergei Ananyan
Empowering Clinician-Scientists in the Information Age of Omics and Data Science Pamela A. Tamez and Mary B. Engler Making Data Matter: Identifying Care Opportunities for US Healthcare Transformation Mark A. Caron Turning Data into Enhanced Value for Patients Kyun Hee (Ken) Lee Data Analytics for the Clinical Researcher Minjae Kim Intelligent Healthcare: The Case of the Emergency Department Shivaram Poigai Arunachalam, Mustafa Sir, and Kalyan S. Pasupathy Network Analytics to Enable Decisions in Healthcare Management Uma Srinivasan, Arif Khan, and Shahadat Uddin Modeling and Analysis of Behavioral Health Data Using Graph Analytics Rose Yesha and Aryya Gangopadhyay The Heart of the Digital Workplace: Intelligent Search Moves the Measure from Efficiency to Proficiency for a Fortune Healthcare Company Jay Liebowitz and Diane Berry The Promise of Big Data Analytics-Transcending Knowledge Discovery through Point-of-Care Applications Lavi Oud Predictive Analytics and Machine Learning in Medicine L. Nelson Sanchez-Pinto and Matthew M. Churpek High-Dimensional Models and Analytics in Large Database Applications Michael Brimacombe Learning to Extract Actionable Evidence from Medical Insurance Claims Data Jieshi Chen and Artur Dubrawski The Role of Unstructured Data in Healthcare Analytics Amanda Dawson and Sergei Ananyan
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826