Medical Data Management is a systematic introduction to the basic
methodology of professional clinical data management. It emphasizes
generic methods of medical documentation applicable to such diverse
tasks as the electronic patient record, maintaining a clinical trials
database, and building a tumor registry. This book is for all students
in medical informatics and health information management, and it is
ideal for both the undergraduate and the graduate levels. The book
also guides professionals in the design and use of clinical
information systems in various health care settings. It is an
invaluable resource for all health care professionals involved in
designing, assessing, adapting, or using clinical data management
systems in hospitals, outpatient clinics, study centers, health plans,
etc.
The book combines a consistent theoretical foundation of medical
documentation methods outlining their practical applicability in real
clinical data management systems. Two new chapters detail hospital
information systems and clinical trials. There is a focus on the
international classification of diseases (ICD-9 and -10) systems, as
well as a discussion on the difference between the two codes. All
chapters feature exercises, bullet points, and a summary to provide
the reader with essential points to remember. New to the Third Edition
is a comprehensive section comprised of a combined Thesaurus and
Glossary which aims to clarify the unclear and sometimes inconsistent
terminology surrounding the topic.
Medical Data Management is a systematic introduction to the basic
methodology of professional clinical data management. This book
addresses important classification systems such as the ICD-9 and -10
and instructs the reader in the process of patient care in a highly
specialized healthcare system, with attention to maintaining medical
quality and cost-effectiveness in establishing an integrated and
easily manageable system. It speaks to healthcare professionals
needing to learn the principles and implementation of integrated,
systematic data management systems.
Florian Leiner
Anästhesie-Informations-Management-System Hospital Radiologieinformationssystem classification hospitals medical informatics