This book is one of the first to comprehensively summarise the latest thinking and research in the rapidly evolving field of quality management in intensive care. Quality indicators and outcome measures are discussed with a practical focus on patient-centred, evidence-based implementation for safer and more effective clinical practice. Chapters on topics such as teambuilding, patient satisfaction, mortality and morbidity, and electronic management systems are organised into three sections, covering quality management at the scale of the individual patient, the intensive care unit, and the national and international level. Written by a team of over forty international experts in the specialty, with editors who have been heavily involved for many years with the European Society of Intensive Care Medicine, the book reflects commonly accepted goals and guidelines for best practice, and will be valuable for practitioners worldwide. The ideal one-stop resource for intensive care physicians as well as ICU and hospital managers.

Recent technological innovations - influenced primarily by the development of more sophisticated, faster and cheaper computer systems - permitted also the evolution of more affordable systems for Patient Data Management, so called PDM-Systems. The experience of the authors, on one of the first PDMS installation sites in Europe, shows that the purchase of such a system is not an easy task, since accurate data are not available in a comparable format. Therefore the first part of the book is devoted to a comparison of already installed, commercially distributed bedside based PDMS with regard to their specifications, functions and performance. The methods included a questionnaire with detailed questions for the vendors to answer and a "table of functions” comparing the most important functions which should be included in a PDMS. With that list the different systems (which were all in clinical use) were checked for the availability and the way of use of these functions. To evaluate variations in the systems performance an "information retrieval test” was designed and executed. In the second part the different vendors, whose systems were included in the study, were to describe the systems from their viewpoints. The third part contains papers describing the users’ experiences. The fourth and last part shows how to use PDMS-data for scientific and therapeutic purposes including two papers on clinical expert systems. Thus, this book provides valuable information for clinicians and hospital managers who have to decide on the purchase of a Patient Data Management System.

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.

Most industries have plunged into data automation, but health care organizations have lagged in moving patients' medical records from paper to computers. In its first edition, this book presented a blueprint for introducing the computer-based patient record (CPR). The revised edition adds new information to the original book. One section describes recent developments, including the creation of a computer-based patient record institute. An international chapter highlights what is new in this still-emerging technology. An expert committee explores the potential of machine-readable CPRs to improve diagnostic and care decisions, provide a database for policymaking, and much more, addressing these key questions: Who uses patient records? What technology is available and what further research is necessary to meet users' needs? What should government, medical organizations, and others do to make the transition to CPRs? The volume also explores such issues as privacy and confidentiality, costs, the need for training, legal barriers to CPRs, and other key topics.

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.

The Oxford Desk Reference: Critical Care allows easy access to evidence-based materials on commonly encountered critical care problems for quick consultation to ensure the optimum management of a particular condition. A concise reference book, it collates key recommendations and presents them in an easily accessible and uniform way.

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.