Provides innovative suggestions regarding the production and management of medical records
Includes tips on how to design useful medical records for a medical practice
Describes the principles of use of clinical data for doctors
This book provides innovative practical suggestions regarding the production and management of medical records that are designed to address the inconsistencies and errors that have been highlighted especially in relation to national eHealth programs. Challengesand lessons that have emerged from the use of clinical information and the design of medical records are discussed, and principles underpinning the implementation of health IT are critically examined. New trends in the use of clinical data are explored in depth, withanalysis of issues relating to integration and sharing of patient information, data visualization, big data analytics, and the requirements of modern electronic health records. The spirit pervading the book is one of co-production, in which the needs of practitioners aretaken into account from the outset. Readers will learn the basic concepts of how clinical information emanating from the doctor–patient relationship can be effectively integrated with genetic and environmental data and analyzed by complex algorithms with the goal ofimproving medical decision making and patient care. The book, written by European experts and researchers, will be of interest to all stakeholders in the field, including doctors, technicians, and policy makers.
Giovanni Rinaldi is a physics graduate who has long been engaged in the study of the relationship between new technologies and medical practice. He has conducted a number of research projects in the field of telemedicine in cardiology and eHealth. Currently hismain research area is the mechanism of acquisition of clinical information for the purpose of better medical decision making and the modifying impacts of new technologies and eHealth on the doctor–patient relationship. He analyzes how medical records, starting fromthe perspective of narrative medicine, can be integrated with genetic and environmental data and analyzed by complex algorithms. His research is conducted according to co-production principles in which the needs of practitioners are taken into account from theoutset rather than being the end point at which technology is applied.