Advances are being made to develop IT infrastructure that are both inexpensive and robust. Medical data are complex, but there are data standards for diseases, procedure, and laboratory tests. An electronic medical record is much better and much safer than paper record.
TABLE 1. AHIMA Data Quality management Characteristics Characteristics Application Collection Warehousing Analysis
Data Accuracy
Data are the correct values and are valid to facilitate the accuracy, determine the applicant’s purpose, the question to be answered Ensuring accuracy involves education and training and timely and appropriate communication of data definitions to those who collect data. For example, data accuracy will help ensure that if a patient’s sex is
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Include a problem statement and cost-benefit or impact study when collected data are increased. For example, in addition to outcome it may be important to gather data that impact outcomes. Cost-effective comprehensive data collection may be achieved via interface to or download from other automated systems. Data definition and data precision impact comprehensive data collection. Warehousing includes managing relationships of data owners, data collectors, and data end-users to ensure that all aware of the available data in the inventory and accessible systems. This also helps to reduce redundant data collection Ensure that all pertinent data impacting the application are analyzed in concert
Data Currency The data should be up-to-date. A datum value is up-to-date if it is current for a specific point in time. It is outdated if it was current at some preceding time yet incorrect at a later time. The appropriateness or value of an application changes over time. For example, traditional quality assurance applications are gradually being replaced by those with the more current application of performance improvement. Data definitions change are modified over time. These should be documented so that current and future users know what the data mean. These changes should be communicated in a timely manner to those collecting and to the
A data set is a collection of data that is defined using uniform definitions. The two purposes of data sets are to first identify the information collected and then to provide a uniform definition for the common terms used. Data sets make information comparable from multiple organizations. The uniform hospital discharge data set was developed in order to define common, uniform data elements and are then collected from inpatient records to be stored in a national database. The uniform ambulatory care data set was developed to track patients that received medical and surgical care and were discharged the same day. The resident assessment instrument and minimum data set is used to collect patient demographics and clinical data for every resident
Data is defined as useful raw material which is intended to be useful for both the originator and for the intended receiver. Data consists largely of facts and figures ideal for communicating the intended meaning. This data can be interpreted and can be categorised as follows;
To ensure the data I find is suitable for the purpose of the research, I should agree guidelines for exactly what is needed and in what format with my manager or whoever set the task.
Utilize health information professionals and practice to ensure compliance with health data structures, standards and content.
It is usually presented in the form of a report in tables, charts, statistics, and graphs or on spread sheets etc. This data may be used to arrive at important decisions within the organisation or with external organisations. So the data report has to be produced in such a way that it meets the aims and
Apply accurate, complete, and consistent coding practices for the production of high-quality of healthcare data.
Data consistency- means that all information within the document must be a reliable source of data.
The purpose of this document is to outline the procedure for requesting changes to the monthly data that is outlined in the FD document. This is for new field and table requests from the Office of the State Auditor (OSA) to DHHS.
Data must be standardized for accurate correspondence and analysis. The data which was standardized is always ready to be shared across the organization. The standardized data is much useful during the data entry. It is easy to collect and secure the important data and reports. These data and reports are prepared at a specific period of time during a year, they are well defined and well organized.
Information: Data that have been organized so that they have meaning and value to the recipient. (CH01)Slide#9
In some cases, primary data is the only form of data available. On the other hand, primary data requires additional time so time management is vital. Also, a large amount of resources are required, a high amount of labor is also required, and often collecting primary data can be cumbersome requiring some amount of skills. Primary data is a good source due to its reliability, focus, and significant amount of control of information. (Hossain, 2012)
Electronic Medical Records or Computerized Medical Record System what is it and what are the advantages along with the disadvantages of using this system? That is what we will discuss in this paper.
Data is important to the company as it assists with decision making, competitive advantage, or support. Senior management has to rely on historical information to observe trends in order to formulate a plan to execute improvements for the future. Company performance information can be leveraged to compare among competitors in the industry to capture an idea of where the organization stands. Data can be used as support to confirm whether previously executed plans are effectively working or not against standards or metrics.
systematic procedure to collect essential data and these data should be adequate in Quantity and Quality.
The term metadata first used in 1969 is called ‘data about data’ or ‘information about information’. The term ‘meta’ derives from the Greek word denoting a nature of a ‘higher order’ or more ‘fundamental kind’ , or ‘above’, ‘beyond’, and ‘of something in a different context’ , metadata is data associated with objects which relieves their potential users of having to have full advance knowledge of their existence or characteristics. It helps in finding data and tells how to interpret and use data. Metadata gives descriptive information about the producer, content , quality, condition and other characteristics of a dataset. Metadata ensures use of right data for right purpose, Metadata assigns quality and defines limitation, improves the appropriate use of data, provides entity and attribute information about the following: