Actionable Intelligence in Healthcare

1. Auflage 2017
ISBN: 978-1-4987-7993-7
Verlag: CRC Press

Buch, Englisch, 293 Seiten, Format (B × H): 152 mm x 234 mm, Gewicht: 703 g

Reihe: Data Analytics Applications

Actionable Intelligence for 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. By considering the perspectives, desires and concerns of multiple stakeholders across the healthcare sector, the book paints a holistic and realistic picture of the promise and perils of health care big data analytics. Specific applications are explored in healthcare research, clinical care, population health and care delivery.

Autoren/Hrsg.

Liebowitz, Jay

Dawson, Amanda

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

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

Über Autor(innen)

Dr. Jay Liebowitz is the DiSanto Visiting Chair in Applied Business and Finance at Harrisburg University of Science and Technology. He previously served as the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). Prior to UMUC, Dr. Liebowitz was a full professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide. Dr. Liebowitz is the founding editor-in-chief of Expert Systems with Applications: An International Journal, which is ranked as a top-tier journal worldwide.
Amanda Dawson holds a Ph.D. in Experimental Psychology and is the Director of Research at Select Medical where she oversees clinical research and quality improvement initiatives at more than 100 nation-wide long-term acute care hospitals. Prior to joining Select Medical, she was a research fellow in biomedicine at Albert Einstein Hospital’s Moss Rehabilitation Research Institute and completed her post-doctoral training in Physical Medicine & Rehabilitation from the University of Pennsylvania Medical School. Over the past decade, she has published numerous articles on identifying patient subpopulations and characterizing clinical practice patterns and patient outcomes over time.