Data Standards for Mental Health Decision Support Systems

Data Standards for Mental Health Decision Support Systems
Author: National Institute of Mental Health (U.S.). Task Force to Revise the Data Content and System Guidelines of the Mental Health Statistics Improvement Program
Publisher:
Total Pages: 0
Release: 1989
Genre: Management information systems
ISBN:

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Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
Author: Pieter Kubben
Publisher: Springer
Total Pages: 219
Release: 2018-12-21
Genre: Medical
ISBN: 3319997130

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This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Behavioral Healthcare Informatics

Behavioral Healthcare Informatics
Author: Naakesh A. Dewan
Publisher: Springer Science & Business Media
Total Pages: 195
Release: 2014-03-14
Genre: Medical
ISBN: 0387215867

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Informatics has the potential to transform the world of behavioral practitioners to enable them to assist people more easily. This book focuses on informatics-related topics that all disciplines connected to the behavioral health will find very useful for their day-to-day practice. This book provides an overview of the state of the art in behavioral health care informatics, addresses the challenges on the horizon, such as organizational issues, human-centered issues, educating healthcare executives about technology issues, educating clinicians about behavioral informatics systems, and consumer issues.

Registries for Evaluating Patient Outcomes

Registries for Evaluating Patient Outcomes
Author: Agency for Healthcare Research and Quality/AHRQ
Publisher: Government Printing Office
Total Pages: 396
Release: 2014-04-01
Genre: Medical
ISBN: 1587634333

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This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.