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[...]... financial management) , - patient data management, billing, and reporting, and - facility management, maintenance, supply, and waste disposal Finally, the management areas of a hospital and their particular information needs have to be considered, i.e., the administrative, medical, and nursing directors and their personal staff The individual professional groups in a hospital have different information... there are a number of additional health care organizations like national or regional health care authorities, professional bodies, patient organizations, etc To build and implement useful and accepted clinical datamanagement systems, you should Basic Concepts of Clinical DataManagement Systems 15 be familiar with the organizations that pertain to the field of application Think twice about... thesaurus are set in boldface the first time they appear in a chapter Subject, goals, and contents of the book The book is geared toward students who are trained in clinical documentation and data management, for example in the areas of medicine and medical/ health informatics, as well as health information managers As an introduction, it is also suitable for physicians, nurses, and other health care... sample The multiple use of patient data can actually only be ensured when the following conditions are met: What Is Medical Documentation About? _7 - All tasks of the datamanagement system and all questions for analysis have been arranged beforehand - The demands on the quality of the data depend on the most ambitious task (For example, the result of a physical examination may... these general objectives as a sort of guideline for the formulation of complete and useful objectives of adatamanagement system 1.3.2 Objectives in Patient Care Makes patient care more effective and appropriate In the end, the most important objective of medical documentation is to contribute to effective and appropriate medical care for each individual patient For each patient, the data management. .. been taken into account during the planning of the datamanagement system can pose great problems Technically it can be facilitated by standardized documentation, but this will not guarantee the data s semantical suitability for the new task Medical Documentation: Child’s Play? 1.5 The most annoying part of documentation is that it often seems to take an unreasonable amount of time This is particularly... formulated in free terms for the purpose of individual patient care For a clinical study, on the other hand, some attributes have to be captured completely and follow clear guidelines, whereas other attributes do not have to be taken into account at all.) patient-oriented analysis patient-group analysis data objects of patient A Fig 1.1 data objects of patient B data objects of patient C Diagram of... clients who are ill Internationally, there are a multitude of political and organizational variations that are all derived from two prototypical forms: public and private health care insurance Public health care insurance is based on the principle of solidarity: members of a population pay a fee, or contribution, according to their financial abilities, and are entitled to an equal amount of health care services... Clinical DataManagement Systems Moreover, there is an administration area for - admission, - billing, - documentation, - typing service, and - telephone service Depending on specialty and equipment, a physician’s office may have additional functional areas - for diagnostics, e.g., x-ray or laboratory services, and - for therapy, e.g., outpatient operating rooms or a physiotherapy department As an area... maiden name, first name, date of birth (in the format YYYYMMDD), and gender (m for male and f for female) Basic Concepts of Clinical DataManagement Systems 17 Thus, data objects are nothing but stored attribute values representing a certain outside-world object within the datamanagement system In contrast, data object classes are agreements on the attribute types and value sets that will . students who are trained in clinical
documentation and data management, for example in the areas of
medicine and medical/ health informatics, as well as health. Ordering Qualitative Data 90
6.1.3 Principles of Ordering Quantitative Data 91
6.2 Planning Clinical Data Management Systems 92
6.2.1 Why Plan Them at All? 92
6.2.2