Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
Each chapter includes an overview, the main content, and a concluding summary
Study and research questions help the student discover the reasons why things are the way they are in the standard
Written by a leading developer of CDA implementation guides and educator of healthcare information professionals worldwide
Internationally relevant to Healthcare IT professionals
Clinical documentation is used throughout healthcare to describe care provided to a patient, communicate essential information between healthcare providers and maintain medical records. The CDA Book describes the HL7 Clinical Document Architecture Release 2.0 standard, a standard format for clinical documentation. It is thus intended for Healthcare Informaticists and IT developers, analysts and architects developing Healthcare applications working with all types of clinical documents.
“The Clinical Document Architecture (CDA) is a common container for assembly of structured and unstructured information that does not require creating numerous standards for individual document types. What has been missing to date is the educational materials to make CDA accessible to everyone. This book contains the documentation, samples, and guidance needed to successfully implement CDA in real world applications. It will accelerate adoption of CDA as a means to exchange structured data elements that not only capture the thought process of the encounter for care coordination but also can be stored as individual data elements for population health, research, and decision support.” John D. Halamka MD, Chief Information Officer at Harvard Medical School