RUNNING HEADER: HEALTH CARE DATA PRACTICES1Health Care Data PracticesnameHS420 Advanced Health InformaticsKaplan University
Data Practices2Health Care Data PracticesA metadata repository or data dictionary is a centralized repository of information; made up of other database systems which aid in the treatment and overall record keeping and healthcare of patients. The overall make up of a data dictionary can be stand alone system or it can interact with software modules of the database management system (DBMS). When utilized by administrators and users for information management; the systems will maintain information on the software and hardware configuration for applications, documentation, system administration and users. Within the system there are different levels and degrees of functions that are available to be utilized to go more in depth when narrowing down a research field. Upon searching the database, the system can analyze all the inputted documentation and produce a specific tailored query. With every part of technology there are challenges when developing and setting up a system to enhance a practice; standardization challenges, data information challenges, management of information, and a plan to implement database querying and mining techniques. Every function of the data dictionary and health care data sets of HEDIS, UHDDS, and OASIS need to have accurate information for the systems to work proficiently. Standardization ChallengesData standardization is the process that encompasses protocols, specifications, methods, and terminologies for the storage and exchange of information in healthcare applications; this includes electronic health records, radiological images, pharmaceuticals, payments and reimbursements. Data Sources; Healthcare Effectiveness Data and Information Set (HEDIS) performance measures are the largest known data set utilized by the government medical facilities to include Veterans Affairs (VA) health care systems, to assess the quality of care
Data Practices3provided[ CITATION ANT16 \l 1033 ]. The patients own electronic health record is the main source of data that is kept in the system; along with radiographs, prescriptions, referrals, physicaltherapy notes and any out-side treatment that was forwarded to be added to the record. A secondary data that may be collected would be a Joint Outpatient Experience Survey (JOES) or aquality assurance questionnaire about your visit. Data Composition; when it comes to the composition of the data collected there are some factors that need to be kept in mind, the human factor, the money factor, and the job factor are three that stand out. Technology also plays a role depending on the algorithm that is designed, and the process of what to do with it all. The human factor, with ay input of information there is always room for account of the human error. This should normally be a small error of margin and is quickly fixed when reviewed by another nurse of physician; but the smallest error as a wrong date of birth can delay treatment or create a duplicate record.