2nd Edition

Health Information Technology Evaluation Handbook
From Meaningful Use to Meaningful Outcomes



  • Available for pre-order. Item will ship after November 19, 2021
ISBN 9780367488215
November 19, 2021 Forthcoming by Productivity Press
184 Pages 41 B/W Illustrations

USD $79.95

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Book Description

Governments and clinical providers are investing billions of dollars in health information technologies (HIT). This is being done with the expectation that HIT adoption will translate into healthier patients experiencing better care at lower cost. In the initial push to rollout HIT, the reliability of these claims was often not substantiated by systematic evaluation and testing. As the first wave of widespread adoption of HIT comes to an end and the next wave begins, it’s more important than ever that stakeholders evaluate the results of their investment, evaluate their success (or failure) and make decisions about future directions. Structured evaluations of a projects impact are an essential element of the justification for investment in HIT. A systematic approach to evaluation and testing should allow for comparison between different HIT interventions with the goal of identifying and promoting those which improve clinical care or other outcomes of interest. The question of the day is no longer “why perform evaluations,” but “how to perform evaluations.” This updated book provides an easy to read reference outlining the basic concepts, theory, and methods required to perform a systematic evaluation of HIT. Chapters cover key domains of HIT evaluation: study structure and design, measurement fundamentals, results analysis, communicating results, guidelines development and reference standards. Updated case studies and examples are included demonstrating successes or failure of these investments. The authors also include new initiatives put in place by the government and how they are being adopted and used by health systems.

Table of Contents

Foreword

Preface

Acknowledgements

About the Author

Chapter 1: The Foundation and Pragmatics of HIT Evaluation

Chapter 2: Structure and Design of Evaluation Studies

Chapter 3: Study Design and Measurements Fundamentals

Chapter 4: Analyzing the Results of Evaluation

Chapter 5: Proposing and Communicating the Results of Evaluation Studies

Chapter 6: Safety Evaluation

Chapter 7: Cost Evaluation

Chapter 8: Efficacy and Effectiveness Evaluation

Chapter 9: Usability Evaluation

Chapter 10: Case Studies

Chapter 11: Healthcare Artificial Intelligence Tools Evaluation

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Author(s)

Biography

Dr. Vitaly Herasevich, MD, PhD, MSc is associate professor of anesthesiology and medicine in the Department of Anesthesiology at Mayo Clinic. He received his medical degree in Belarus, and obtained a PhD in interventional cardiology. Later he finished MSc in clinical research at Mayo Clinic and became a Certified Professional in Healthcare Management Systems (CPHIMS). His interest in the area of clinical informatics extends back more than 18 years and organized around computerized systems in the fast-paced hospital environment such as intensive care. He has specific interest in clinical syndromic surveillance alerting systems, clinical data visualization and complex large data warehousing for clinical analytics with more recent interest in healthcare cybersecurity.

Brian W. Pickering, MD, MSc is the program director of the clinical informatics program and assistant professor of anesthesiology in Department of Anesthesiology at Mayo Clinic. He received his medical degree from Trinity College, Dublin. This was followed by anesthesiology and critical care training in the College of Anaesthetists, RCSI, Dublin and a masters in Molecular neuroscience from Bristol University, UK. He is the author of over 30 peer reviewed articles in clinical informatics and has extensive experience in the development, testing and implementation of HIT in the acute care setting. He shares a clinical informatics laboratory with Dr. Herasevich and together they teach a "Health Information Technology evaluation" class in the Mayo Graduate School of Medical Education.