UID:
almahu_9949385766802882
Format:
1 online resource (199 p.).
Edition:
2nd ed.
ISBN:
9781000478044
,
1000478041
,
9781003042969
,
1003042961
,
9781000477740
,
1000477746
Series Statement:
HIMSS Book Ser.
Content:
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 roll out 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 is 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 project's 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 the successes or failures of these investments. The authors also include new initiatives put in place by the government and discuss how they are being adopted and used by health systems.
Note:
Description based upon print version of record.
,
5.3 Universal, Scientifically Based Outline for the Dissemination of Evaluation Study Results.
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Cover Page -- Half Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- Authors -- 1 The Foundation and Pragmatics of HIT Evaluation -- 1.1 Need for Evaluation -- Historical Essay -- 1.2 HIT: Why Should We Worry About It? -- Historical Essay -- Definitions -- History of Technology Assessment -- Medical or Health Technology Assessment -- Health Information Technology Assessment -- 1.3 Regulatory Framework in the United States -- Food and Drug Administration -- Agency for Healthcare Research and Quality
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1.4 Fundamental Steps Required for Meaningful HIT Evaluation -- Suggested Reading -- References -- 2 Structure and Design of Evaluation Studies -- 2.1 Review of Study Methodologies and Approaches that Can Be Used in Health IT Evaluations -- Define the Health IT (Application, System) to Be Studied -- Define the Stakeholders Whose Questions Should Be Addressed -- Define and Prioritize Study Questions -- 2.2 Clinical Research Design Overview -- Clinical Epidemiology Evidence Pyramid -- Specific Study Design Considerations in Health IT Evaluation -- Randomized Controlled Trial in Health IT
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Diagnostic Performance Study -- 2.3 How to Ask Good Evaluation Questions and Develop Protocol -- Suggested Reading -- References -- 3 Study Design and Measurements Fundamentals -- 3.1 Fundamental Principles of Study Design -- Selection Criteria and Sample -- Validity -- Accuracy and Precision -- Bias -- Confounding -- 3.2 Core Measurements in HIT Evaluation -- Clinical Outcome Measures -- Clinical Process Measurements -- Financial Impact Measures -- Other Outcome Measurement Concepts -- Intermediate Outcome -- Composite Outcome -- Patient-Reported Outcomes -- Health-Related Quality of Life
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Subjective and Objective Measurements -- 3.3 Data Collection for Evaluation Studies -- 3.4 Data Quality -- Suggested Reading -- References -- 4 Analyzing the Results of Evaluation -- 4.1 Fundamental Principles of Statistics -- Measurement Variables -- Data Preparation -- Descriptive (Summary) Statistics -- Data Distribution -- Confidence Intervals -- p-Value -- 4.2 Statistical Tests: Choosing the Right Test -- Hypothesis Testing -- Non-Parametric Tests -- One- and Two-Tailed Tests -- Paired and Independent Tests -- Number of Comparisons Groups -- Analytics Methods
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Identifying Relationship: Correlation -- Regression -- Longitudinal Studies: Repeated Measures -- Time-to-Event: Survival Analysis -- Diagnostic Accuracy Studies -- Assessing Agreements -- Outcome Measurements -- Other Statistical Considerations -- Multiple Comparisons -- Subgroup Analysis -- Sample Size Calculation -- Commonly Used Statistical Tools -- Suggested Reading -- References -- 5 Proposing and Communicating the Results of Evaluation Studies -- 5.1 Target Audience -- 5.2 Methods of Dissemination
Additional Edition:
Print version: Herasevich, , , MSc, Vitaly Health Information Technology Evaluation Handbook Milton : Productivity Press,c2021 ISBN 9780367488215
Language:
English
Keywords:
Electronic books.
;
Electronic books.
URL:
https://www.taylorfrancis.com/books/9781003042969
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