The critical care unit manages patients with a vast range of disease and injuries affecting every organ system. The unit can initially be a daunting environment, with complex monitoring equipment producing large volumes of clinical data. Core Topics in Critical Care Medicine is a practical, comprehensive, introductory-level text for any clinician in their first few months in the critical care unit. It guides clinicians in both the initial assessment and the clinical management of all CCU patients, demystifying the critical care unit and providing key knowledge in a concise and accessible manner. The full spectrum of disorders likely to be encountered in critical care are discussed, with additional chapters on transfer and admission, imaging in the CCU, structure and organisation of the unit, and ethical and legal issues. Written by Critical Care experts, Core Topics in Critical Care Medicine provides comprehensive, concise and easily accessible information for all trainees.

Concise handbook discussing benefits and pitfalls of clinical information systems in the ICU, offering advice for local implementation and problem-solving.

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.

Hospital information systems (HIS) have become integral tools in the management of a hospital's medical and administrative information. With illustrated case studies, this book emphasizes clinical information systems (CIS) and their use in the direct management of the patient. Topics include the medical record, security, resource amangement, and imopaging integration.

As its name implies, this book deals with clinical information systems. The clinical information system (or CIS) is an automated system with a long term database containing clinical information used for patient care. This definition excludes business systems (no clinical data), physiological monitoring systems (no long term database), and many research systems (not used in patient care). The theses of this book are (a) that CIS technology is mature, (b) that the CIS will have a major impact upon patient care and the health delivery system, and (c) that the number of commercial systems which now offer these potential benefits is very small. The objective of this book is to establish the above theses and thereby (a) inform both users and developers, (b) increase the demand for more sophisticated products, and finally, (c) provide marketplace incentives to advance the state of the art. The CIS is an application of computer technology for a specific class of problems. Its development requires a knowledge of the technology with an understanding of the application area. As with any tool-based application, the scope of the product will be limited by the capability of the tool. In the case of the CIS, reliable computers with comprehensive database facilities became commercially available in the early 1970s. By the mid 1970s there was a maturation of the literature, and evaluations of 5-years' use began to appear. As will be shown, there have been surprisingly few new ideas introduced since the 1970s.

The complex IT requirements of a critical care unit have led to the development of numerous information systems. In this concise handbook, the authors share their experience and research findings on how to unleash the power of the technology and overcome potential problems. Clinical Information Systems in Critical Care explains the key aspects of the information systems currently available, covering topics such as how to select the best system to match the requirements of a critical care unit, the issues surrounding data maintenance, patient confidentiality and the concept of the paperless patient record. It discusses both the benefits that may justify investment in the technology and hurdles that may arise, and offers advice for avoiding common problems. Clinical Information Systems in Critical Care is essential reading for all clinicians and health managers involved in developing, implementing, maintaining and using clinical information systems.

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.