Governments and clinical providers are investing billions of dollars in health information technologies. This book provides an easy-to-read reference outlining the basic concepts, theory, and methods required to perform a systematic evaluation of HIT.

Governments and clinical providers are investing billions of dollars in health information technologies. This is being done with the expectation that HIT adoption will translate into healthier patients experiencing better care at lower cost. As the first wave of adoption comes to an end, stakeholders are ready to evaluate the results of their investment and make decisions about future directions. As a result, structured evaluations of a projects impact are an essential element of the justification for investment in HIT. This book provides an easy-to-read reference outlining the basic concepts, theory, and methods required to perform a systematic evaluation of HIT.

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10.2 The Role and Contents of the URD in an Assessment Perspective -- 10.3 The Enterprise Model -- 10.4 The Normative Model -- 10.5 Assessment of the User Requirements Document -- 10.6 Discussion -- 11 Dynamic Aspects of the Assessment Methodology -- 11.1 Dynamic Aspects of IT-Development and Application -- 11.2 Adaptation of Frames of Reference for Assessment Activities -- 11.3 Feed-forward Loops -- 11.4 Support of Context Dependent Assessment -- 11.5 Conclusion -- 12 The Dynamic Assessment Methodology -- 12.1 Philosophy -- 12.2 Application Area -- 12.3 Operationalisation of the Methodology -- 12.4 Applicable Methods -- 12.5 Summary -- 13 Discussion -- 13.1 Discussion of Fulfilment of Objective for the 4th Goal -- 13.2 Conclusion of the Study -- References -- Appendix 1: Vocabulary -- Appendix 2: Abbreviations & Acronyms -- Appendix 3: KAVAS's & ISAR's Evaluation Methodology -- Appendix 4: Methodology for Assessment of Functionality -- Appendix 5: Experimental Observations: Functionality Assessment -- Appendix 6: Experimental Observations: LFA -- Appendix 7: Causal Analysis of Experimental Observations -- Appendix 8: Method for Elicitation of a Strategy -- Appendix 9: Selected References regarding Assessment Methods

As director of a training program in medical informatics, I have found that one of the most frequent inquiries from graduate students is, "Although I am happy with my research focus and the work I have done, how can I design and carry out a practical evaluation that proves the value of my contribution?" Informatics is a multifaceted, interdisciplinary field with research that ranges from theoretical developments to projects that are highly applied and intended for near-term use in clinical settings. The implications of "proving" a research claim accordingly vary greatly depending on the details of an individual student's goals and thesis state ment. Furthermore, the dissertation work leading up to an evaluation plan is often so time-consuming and arduous that attempting the "perfect" evaluation is fre quently seen as impractical or as diverting students from central programming or implementation issues that are their primary areas of interest. They often ask what compromises are possible so they can provide persuasive data in support of their claims without adding another two to three years to their graduate student life. Our students clearly needed help in dealing more effectively with such dilem mas, and it was therefore fortuitous when, in the autumn of 1991, we welcomed two superb visiting professors to our laboratories.

This book, with its strong international orientation, introduces the reader to the challenges, lessons learned and new insights of health information management at the beginning of the twenty-first century.

Innovative 2nd edition, heavily updated and revised from the 1st edition Introduction to various survey and evaluation methods involving IT systems in the healthcare setting Critical overview of current research in health and social sciences Emphasizes multi-method approach to system evaluation Includes instruments suitable for research and evaluation Discusses computer programs for data analysis and evaluation resources Essential reference for anyone involved in planning, developing, implementing, utilizing, evaluating, or studying computer-based health care systems

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital for hospitals and health systems to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. This book addresses several topics important to the understanding and use of data in healthcare. First, it provides a formal explanation based on epistemology (theory of knowledge) of what data actually is, what we can know about it, and how we can reason with it. The culture of data is also covered and where it fits into healthcare. Then, data quality is addressed, with a historical appreciation, as well as new concepts and insights derived from the author’s 35 years of experience in technology. The author provides a description of what healthcare data analysis is and how it is changing in the era of abundant data. Just as important is the topic of infrastructure and how it provides capability for data use. The book also describes how healthcare information infrastructure needs to change in order to meet current and future needs. The topics of artificial intelligence (AI) and machine learning in healthcare are also addressed. The author concludes with thoughts on the evolution of the role and use of data and information going into the future.

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.

Coupled with the growth of the World Wide Web, the topic of health information retrieval has had a tremendous impact on consumer health information. With the aid of newly added questions and discussions at the end of each chapter, this Second Edition covers theory practical applications, evaluation, and research directions of all aspects of medical information retireval systems.