Intelligent Paradigms for Healthcare Enterprises [electronic resource] / edited by Barry Silverman, Ashlesha Jain, Ajita Ichalkaranje, Lakhmi Jain.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9783540323624
- Engineering
- Medical records -- Data processing
- Artificial intelligence
- Computer science
- Engineering mathematics
- Biomedical engineering
- Engineering
- Appl.Mathematics/Computational Methods of Engineering
- Biomedical Engineering
- Artificial Intelligence (incl. Robotics)
- Health Informatics
- Automation and Robotics
- Computer Applications
- 519 23
- TA329-348
- TA640-643
Item type | Current library | Call number | Status | Date due | Barcode | |
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Central Library | Available | E-43104 |
Computerization of Clinical Guidelines: An Application of Medical Document Processing -- Case-based Medical Informatics -- Analysis and Architecture of Clinical Workflow Systems using Agent-Oriented Lifecycle Models -- Virtual Communities in Health Care -- Evidence Based Telemedicine -- Current Status of Computerized Decision Support Systems in Mammography -- Medical Diagnosis and Prognosis Based on the DNA Microarray Technology -- Wearable Devices in Healthcare.
This compendium brings together leading researchers in the fields of Intelligent Systems and healthcare aiming at medical engineers, healthcare managers and computer scientists worldwide. This book is an overview of intelligent paradigms and strategic investments that might payoff for the healthcare enterprise. Specifically, the reader will get ideas for efficiency enhancements for improving effectiveness and quality of care and for increasing patient safety. "Advanced Intelligent Paradigms in Healthcare" straddles technologic topics from DNA processing and automating medical second opinions in the lab, to telemedicine and chat spaces for rural patient outreach, among many others. In terms of management concerns, this book also explores systems approaches such as automated clinical guidelines, institutional workflow management, and best practices and lessons learned with actual applications.
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