100%(13)13 out of 13 people found this document helpful
This preview shows page 1 - 4 out of 6 pages.
1Challenges of Health informaticsChallenges of health informaticsAssignment 6Kendra BeanKaplan UniversityDecember 20, 2016
2Challenges of Health informaticsCEO’s and Board directors are often tasked with the jobs of development and implementation of applications and standards. The move to an electronic process has further increased the demand for data processes. In larger health systems data can become overwhelming, as they need to be analyzed and archived for better retrieval results. In this paper we will be looking at some of the key challenges related to managing data. Data DictionariesData dictionaries are like a table of contents for a book. The information within can describe contents, format, structure of a data base, and the relationship between the elements. Using a data dictionary encourages integrity by supporting the adoption and use of consistent data elements and terminology within health IT systems (Ahima, 2012). Some of the benefits included in doing so are: improved data quality, reduced data redundancy, simpler programming, enforced standards, and improved trust in data integrity.Maintaining standardization Data dictionaries are a great efficient tool to have, but not without human interjection. In an effort to maintain data dictionaries and data integrity, organizations should use the best practices. It is important to know the data, and map data across all networks. There should also be a data quality management process, and a way to comply with regulations and standards. Organizations should also take responsibility in ensuring accurate data collection and reporting, as well as establishing an ongoing user education and training program (Ahima, 2012). ChallengesMaintaining the standardization of data dictionaries to meet the needs of enterprises definitely has its challenges. Inconsistent naming conventions seems to be the top of the list of challenges. Within different settings of healthcare one element can be referred to as many things. An example of this is the terminology used to describe the check-in date of a patient at the hospital. Depending on what database; date of admission, admit date, or admission date, could beused. This can easily confuse network systems. Inconsistent definitions pose another challenge.
3Challenges of Health informaticsThings in healthcare are defined differently based on the setting they are used in. An example