- BHA FPX 4106 Assessment 2
Benchmarks and Quality Measures
In order to share data and orders, the most important aspect is flexibility when it comes to making decisions. SNOMED CT and similar standards are used for exchanging data in order to ensure that all the various elements of patient data linking are compatible.
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Compatibility of Data
There are many patient standards of safety and quality on the national and state level that regulate the treatment of HIV/AIDS patients. Government and organizations guidelines and principles are also laid down regarding the use of uniform data forms to enable data usage in other systems. Thus, to have similar data, one has to ensure that the data elements used in the collection of the data are the same across all sources. It assists in identifying the general patterns and structures required for the various fields in order to exchange information (Gal & Rubinfeld, 2019).
Data linking and checking is another method of ensuring that all the systems are in consistency. For the reference data, I use the same data from my office because the quality measures that I selected correspond to the national standards. I got the information from such credible sources as the CDC and the AHRQ quality measures. This will ensure that the statistical analysis applied on the reference data is same and it will allow combining of the data. The sources of data that were compared are credible.
BHA FPX 4106 Assessment 2 Benchmarks and Quality Measures
The care area is not well integrated; therefore, the data elements, meaning, and forms can vary. This complicates standardization of the data as seen earlier. Standardization may be quite a time consuming process particularly if data is collected from a number of sources. Normalization of the data is crucial for the purpose of presenting events in a systematic manner so that statistical information from various sources can be compared. This can be done by coming into an agreement on the aspects of sharing data that will be used and ensuring that the data is complete and accurate.
Effects of Health Information Quality on the HIE
The HIE system facilitates the exchange of health information of the patients among the healthcare workers. All of this health information is stored in a single location in the form of a national database to be employed for the assessment of population. Therefore, while an HIE’s primary purpose is to enhance the quality of care by allowing providers to communicate information (Esmaeilzadeh, 2020), a national database’s main purpose is to allow policymakers to have a complete overview of the health of the population (Mbabu, n. d.).
Thus, providing an HIE with insufficient or inaccurate data can lead to numerous problems, including reduced patient care and endangering the patient’s life. For instance, you may give wrong diagnosis, wrong therapy, wrong operations and wrong examinations for the patients who are in front of you. Issues arising from data security can also affect the patients and may also hinder proper analysis and decision making. Enterting wrong information into a national database may cause wrong data output and limit the feasibility of comparing national databases. Data from different sites and areas can hardly be compared, which means that it is not easy to come up with trends. To minimize these issues, health care personnel should ensure that the data is complete, accurate, and timely using quality checks, approval methods, and staff training.
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The absence of the right data or wrong information can in one way or the other alter my plan. The non-standardized data from different sources can create challenges in comparison and can put one in a wrong status in regards to the level of HIV/AIDS care. It can also alter the outcome of a scientific experiment, and affect the reliability of quality control measurements. Also, issues related to alignment can emerge if the data being applied in the plan is incomplete. To tackle these challenges, it is necessary to encourage the observance of data standards, comprehensiveness, and accuracy in all HIEs and national systems. This will enable effective exchange of health care data and good evaluation of the health status of the society.
Conclusion
In conclusion, one can state that data portability is useful for ensuring that data sharing is protected and for decision making. The quality measures define the guidelines for evaluating the HIV/AIDS care that patients are provided with. These standards include: initiating the patients on ART, ensuring that the patients are fully engaged in the HIV care continuum, and reducing the patients’ viral load. We also discussed the distinction between Health information exchange and National databases and the issues that arise when two of them are combined in a wrong way.
If you need complete information about class 4106, click below to view a related sample:
BHA FPX 4106 Assessment 1 Information Collection
References
Esmaeilzadeh, P. (2020). The effect of the privacy policy of Health Information Exchange (HIE) on patients’ information disclosure intention. Computers & Security, 95, 101819.
https://doi.org/10.1016/j.cose.2020.101819
Gal, M. S., & Rubinfeld, D. L. (2019). Data Standardization. New York University Law Review, 94, 737.
https://heinonline.org/HOL/LandingPage?handle=hein.journals/nylr94&div=27&id=&page=
Mbabu, L. (n.d.). Research guides: International, regional, and national data sets: International statistics. Guides.lib.umich.edu.