Theoretical Basis of Health IT Evaluation. 2016

Jytte Brender McNair
Dept. of Health Science & Technology, Aalborg University.

The focus of this contribution is on the theoretical principles and concepts behind evaluation of IT-based systems, discussing their presuppositions, implications and interrelationships; for instance in relation to a series of issues to consider: terminology for the concepts used as that is a reason for many disputes, bias as that is a common reason for less accuracy and trustworthiness in conclusions, culture as the tacit driver of everything we do and design, constructive evaluation as this has strict time and timing issues, preparing for meta-analyses as that is in the near future, and top-level issues in choice of methodology. Awareness in these respects will lead to avoidance of major pitfalls and perils at evaluation and thereby improve the validity and trustworthiness of an evaluation outcome, supporting the initiative towards evidence-based health informatics.

UI MeSH Term Description Entries
D008490 Medical Informatics The field of information science concerned with the analysis and dissemination of medical data through the application of computers to various aspects of health care and medicine. Clinical Informatics,Medical Computer Science,Medical Information Science,Computer Science, Medical,Health Informatics,Health Information Technology,Informatics, Clinical,Informatics, Medical,Information Science, Medical,Health Information Technologies,Informatics, Health,Information Technology, Health,Medical Computer Sciences,Medical Information Sciences,Science, Medical Computer,Technology, Health Information
D003469 Culture A collective expression for all behavior patterns acquired and socially transmitted through symbols. Culture includes customs, traditions, and language. Cultural Relativism,Customs,Beliefs,Cultural Background,Background, Cultural,Backgrounds, Cultural,Belief,Cultural Backgrounds,Cultural Relativisms,Cultures,Relativism, Cultural,Relativisms, Cultural
D003657 Decision Making The process of making a selective intellectual judgment when presented with several complex alternatives consisting of several variables, and usually defining a course of action or an idea. Credit Assignment,Assignment, Credit,Assignments, Credit,Credit Assignments
D005069 Evaluation Studies as Topic Works about studies that determine the effectiveness or value of processes, personnel, and equipment, or the material on conducting such studies. Critique,Evaluation Indexes,Evaluation Methodology,Evaluation Report,Evaluation Research,Methodology, Evaluation,Pre-Post Tests,Qualitative Evaluation,Quantitative Evaluation,Theoretical Effectiveness,Use-Effectiveness,Critiques,Effectiveness, Theoretical,Evaluation Methodologies,Evaluation Reports,Evaluation, Qualitative,Evaluation, Quantitative,Evaluations, Qualitative,Evaluations, Quantitative,Indexes, Evaluation,Methodologies, Evaluation,Pre Post Tests,Pre-Post Test,Qualitative Evaluations,Quantitative Evaluations,Report, Evaluation,Reports, Evaluation,Research, Evaluation,Test, Pre-Post,Tests, Pre-Post,Use Effectiveness
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D015982 Bias Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions. Aggregation Bias,Bias, Aggregation,Bias, Ecological,Bias, Statistical,Bias, Systematic,Ecological Bias,Outcome Measurement Errors,Statistical Bias,Systematic Bias,Bias, Epidemiologic,Biases,Biases, Ecological,Biases, Statistical,Ecological Biases,Ecological Fallacies,Ecological Fallacy,Epidemiologic Biases,Experimental Bias,Fallacies, Ecological,Fallacy, Ecological,Scientific Bias,Statistical Biases,Truncation Bias,Truncation Biases,Bias, Experimental,Bias, Scientific,Bias, Truncation,Biase, Epidemiologic,Biases, Epidemiologic,Biases, Truncation,Epidemiologic Biase,Error, Outcome Measurement,Errors, Outcome Measurement,Outcome Measurement Error
D063005 Health Information Systems A system for the collection and/or processing of data from various sources, and using the information for policy making and management of health services. It could be paper-based or electronic. (From http://web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTHEALTHNUTRITIONANDPOPULATION/EXTHSD/0,,contentMDK:22239824~menuPK:376799~pagePK:148956~piPK:216618~theSitePK:376793,00.html. http://www.who.int/healthinfo/systems/en/) Health Information System,Information System, Health,Information Systems, Health,System, Health Information,Systems, Health Information

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