Computer Science and Health Engineering in Health Services

Computer Science and Health Engineering in Health Services
Author: José Antonio Marmolejo-Saucedo
Publisher: Springer Nature
Total Pages: 249
Release: 2021-02-24
Genre: Medical
ISBN: 3030698394

This book constitutes the refereed post-conference proceedings of the 4th International Conference on Computer Science and Health Engineering in Health Services. Due to COVID-19 pandemic the conference was held virtually. The 16 full papers presented were carefully reviewed and selected from 39 submissions. The papers highlight the latest research innovations and applications of algorithms designed for optimization applications within the fields of science, computer science, engineering, information technology, economics, and health systems.

Computational Technology for Effective Health Care

Computational Technology for Effective Health Care
Author: National Research Council
Publisher: National Academies Press
Total Pages: 121
Release: 2009-02-24
Genre: Computers
ISBN: 0309155843

Despite a strong commitment to delivering quality health care, persistent problems involving medical errors and ineffective treatment continue to plague the industry. Many of these problems are the consequence of poor information and technology (IT) capabilities, and most importantly, the lack cognitive IT support. Clinicians spend a great deal of time sifting through large amounts of raw data, when, ideally, IT systems would place raw data into context with current medical knowledge to provide clinicians with computer models that depict the health status of the patient. Computational Technology for Effective Health Care advocates re-balancing the portfolio of investments in health care IT to place a greater emphasis on providing cognitive support for health care providers, patients, and family caregivers; observing proven principles for success in designing and implementing IT; and accelerating research related to health care in the computer and social sciences and in health/biomedical informatics. Health care professionals, patient safety advocates, as well as IT specialists and engineers, will find this book a useful tool in preparation for crossing the health care IT chasm.

Computer Science and Engineering in Health Services

Computer Science and Engineering in Health Services
Author: José Antonio Marmolejo-Saucedo
Publisher: Springer Nature
Total Pages: 290
Release: 2023-10-25
Genre: Technology & Engineering
ISBN: 3031347501

This book constitutes the refereed post-conference proceedings of the 6th EAI International Conference Computer on Science and Engineering in Health Services (COMPSE 2022), which took place in Mexico City and online, June 28th, 2022. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic; health services; computer and data science; and industry 4.0 in logistics and supply chain. The content is relevant to researchers, academics, students and professionals.

Building a Better Delivery System

Building a Better Delivery System
Author: Institute of Medicine
Publisher: National Academies Press
Total Pages: 276
Release: 2005-09-20
Genre: Medical
ISBN: 0309133580

In a joint effort between the National Academy of Engineering and the Institute of Medicine, this books attempts to bridge the knowledge/awareness divide separating health care professionals from their potential partners in systems engineering and related disciplines. The goal of this partnership is to transform the U.S. health care sector from an underperforming conglomerate of independent entities (individual practitioners, small group practices, clinics, hospitals, pharmacies, community health centers et. al.) into a high performance "system" in which every participating unit recognizes its dependence and influence on every other unit. By providing both a framework and action plan for a systems approach to health care delivery based on a partnership between engineers and health care professionals, Building a Better Delivery System describes opportunities and challenges to harness the power of systems-engineering tools, information technologies and complementary knowledge in social sciences, cognitive sciences and business/management to advance the U.S. health care system.

Biomedical Informatics

Biomedical Informatics
Author: Edward H. Shortliffe
Publisher: Springer Science & Business Media
Total Pages: 970
Release: 2013-12-02
Genre: Medical
ISBN: 1447144740

The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Computer Science and Health Engineering in Health Services

Computer Science and Health Engineering in Health Services
Author: José Antonio Marmolejo-Saucedo
Publisher: Springer
Total Pages: 243
Release: 2021-02-25
Genre: Medical
ISBN: 9783030698386

This book constitutes the refereed post-conference proceedings of the 4th International Conference on Computer Science and Health Engineering in Health Services. Due to COVID-19 pandemic the conference was held virtually. The 16 full papers presented were carefully reviewed and selected from 39 submissions. The papers highlight the latest research innovations and applications of algorithms designed for optimization applications within the fields of science, computer science, engineering, information technology, economics, and health systems.

The Computer-Based Patient Record

The Computer-Based Patient Record
Author: Committee on Improving the Patient Record
Publisher: National Academies Press
Total Pages: 257
Release: 1997-10-28
Genre: Medical
ISBN: 030957885X

Most industries have plunged into data automation, but health care organizations have lagged in moving patients' medical records from paper to computers. In its first edition, this book presented a blueprint for introducing the computer-based patient record (CPR). The revised edition adds new information to the original book. One section describes recent developments, including the creation of a computer-based patient record institute. An international chapter highlights what is new in this still-emerging technology. An expert committee explores the potential of machine-readable CPRs to improve diagnostic and care decisions, provide a database for policymaking, and much more, addressing these key questions: Who uses patient records? What technology is available and what further research is necessary to meet users' needs? What should government, medical organizations, and others do to make the transition to CPRs? The volume also explores such issues as privacy and confidentiality, costs, the need for training, legal barriers to CPRs, and other key topics.

Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare
Author: Kun Chang Lee
Publisher: Academic Press
Total Pages: 298
Release: 2020-10-18
Genre: Science
ISBN: 0128193158

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. - Examines the development and application of data analytics applications in biomedical data - Presents innovative classification and regression models for predicting various diseases - Discusses genome structure prediction using predictive modeling - Shows readers how to develop clinical decision support systems - Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks

Introduction to Medical Software

Introduction to Medical Software
Author: Xenophon Papademetris
Publisher: Cambridge University Press
Total Pages: 341
Release: 2022-05-05
Genre: Business & Economics
ISBN: 1316514994

A concise and accessible overview of the design, implementation and management of medical software.