Actionable Intelligence in Healthcare

Inhaltsverzeichnis

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

Zusammenfassung

Actionable Intelligence in Healthcare cuts through the hype and misconceptions regarding healthcare data analytics, provides a realistic assessment of the state of healthcare data analytics today, and offers an insightful forecast of both the near-term and longer-term development in the field.

Produktdetails

• Autoren: Jay (Harrisburg University of Science a Liebowitz, Jay Dawson Liebowitz
• Mitarbeit: Amanda Dawson (Herausgeber), Dawson Amanda (Herausgeber), Jay Liebowitz (Herausgeber)
• Verlag: Taylor & Francis Ltd.
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 25.04.2017
• EAN: 9781498779937
• ISBN: 978-1-4987-7993-7
• Seiten: 279
• Serie: Data Analytics Applications
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; Sozialwissenschaften, Recht,Wirtschaft > Wirtschaft > Allgemeines, Lexika; MEDICAL / Health Care Delivery, Databases, Health systems & services, Health systems and services, COMPUTERS / Database Administration & Management, Databases / Data management