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AHIMA describes its foundation as a sister organization to the Association for Healthcare Documentation Integrity (AHDI) and states the foundation has a charitable and educational nature. The foundation formulates and issues opinions, supports education, conducts research and compiles its contributions into the AHIMA BoK (body of knowledge).
Health information management's standards history is dated back to the introduction of the American Health Information Management Association, founded in 1928 "when the American College of Surgeons established the Association of Record Librarians of North America (ARLNA) to 'elevate the standards of clinical records in hospitals and other medical institutions.'" [3]
The terms EHR, electronic patient record (EPR), and electronic medical record (EMR) have often been used interchangeably, but "subtle" differences exist. [6] The electronic health record (EHR) is a more longitudinal collection of the electronic health information of individual patients or populations.
The Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM) is an accrediting organization for degree-granting programs in health informatics and health information management. [1]
AHIMA also offers a registered health information technician (RHIT) certification for coding professionals with two-year associate degrees and with less emphasis on management responsibilities. In 2005 researchers found that the differences in these certifications, in addition to other accreditations offered by AHIMA and the need for ongoing ...
Good clinical data management practice (GCDMP) is the current industry standards for clinical data management that consist of best business practice and acceptable regulatory standards. In all phases of clinical trials , clinical and laboratory information must be collected and converted to digital form for analysis and reporting purposes.
In qualitative research, a member check, also known as informant feedback or respondent validation, is a technique used by researchers to help improve the accuracy, credibility, validity, and transferability (also known as applicability, internal validity, [1] or fittingness) of a study. [2]
This is widely used in the Pharmaceutical, Life Sciences and BioTech industries and is a cousin of Software Testing but with a more formal and documented approach. The validation process begins with validation planning, system requirements definition, testing and verification activities, and validation reporting.