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Most HEDIS data is collected through surveys, medical charts and insurance claims for hospitalizations, medical office visits and procedures. Survey measures must be conducted by an NCQA-approved external survey organization. Clinical measures use the administrative or hybrid data collection methodology, as specified by NCQA.
HCUP Logo. The Healthcare Cost and Utilization Project (HCUP, pronounced "H-Cup") is a family of healthcare databases and related software tools and products from the United States that is developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ).
Also referred to as "define.xml", a machine readable version of the regulatory submission "define.pdf". Clinical Data Acquisition Standards Harmonization (CDASH) [6] Defines a minimal data collection set for sixteen safety SDTM Domains, harmonizing element names, definitions and metadata. The objective is to establish a standardized data ...
Barriers to the widespread adoption of effective data standards include: inconsistency in and poor understanding of the concepts and language used in clinical practice, for example compared to those in chemistry or accounting; rival systems of standards; the cost of implementation or change to better standards; avoidance of commercial competition.
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
Acquisition or collection of clinical trial data can be achieved through various methods that may include, but are not limited to, any of the following: paper or electronic medical records, paper forms completed at a site, interactive voice response systems, local electronic data capture systems, or central web based systems.
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...
Analysis: the process of translating data into information utilized for an application. Each aspect is analyzed with 10 different data characteristics: Accuracy: Data are the correct values and are valid. Accessibility: Data items should be easily obtainable and legal to collect. Comprehensiveness: All required data items are included. Ensure ...