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Everyone involved with documenting or using health information is responsible for its quality. According to AHIMA's Data Quality Management Model, there are four key processes for data: Application: the purpose for which the data are collected. Collection: the processes by which data elements are accumulated.
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 ).
Data quality assurance is the process of data profiling to discover inconsistencies and other anomalies in the data, as well as performing data cleansing [17] [18] activities (e.g. removing outliers, missing data interpolation) to improve the data quality.
Sample view of an electronic health record. An electronic health record (EHR) also known as an electronic medical record (EMR) or personal health record (PHR) is the systematized collection of patient and population electronically stored health information in a digital format. [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 ...
Lizzie Haldane, Min Young Park, and Eric Tang for help with data collection. Jessica Wisdom Carnegie Mellon University 208 Porter Hall Pittsburgh, PA 15213 jwisdom@cmu.edu (412) 268-2869 Julie Downs Carnegie Mellon University 208 Porter Hall Pittsburgh, PA 15213 downs@cmu.edu (412) 268-1862 George Loewenstein Carnegie Mellon University
Health information technology (HIT) is "the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, health data, and knowledge for communication and decision making". [8]
The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure