A healthcare organization that participates in the health information data exchange may be provided with a means to standardize data from other organizations. Because of this, the company could keep better track of and manage patient data. In addition, the exchange may result in the availability of large amounts of data, which may be used to enhance the quality of care provided to patients. For instance, the data gathered through the exchange might be used to strengthen the general population’s health by determining patterns in illness.
Emerging as a subject of discussion within health care systems is the Health Information Data Exchange, abbreviated as hiding. It can provide a health care organization with data from other organizations that have been standardized (Rajamäki, 2020). Because of this, the organization would get a deeper understanding of the requirements of its patients and modify the treatment they provide accordingly. Additionally, it might assist the organization in better communicating with the many other health care providers and more successfully coordinating patient care with them.
There are a variety of factors that might pique the attention of a significant company in the process of integrating its systems with the HIDE. It would make it possible for the organization to access standardized data held by other organizations, which is one of the reasons. Because of this, the organization would get a deeper understanding of the requirements of its patients and modify the treatment they provide accordingly. Additionally, it might assist the organization in better communicating with the many other health care providers and more successfully coordinating patient care with them. Integrating with hiding is beneficial for the company for several reasons, one of which is that it would enable the business to exchange data with other organizations. It would make it possible for the organization to enhance the level of service that they deliver and make more efficient use of the resources at their disposal.
When an organization integrates its systems with the HIDE, one of the challenges it will encounter is ensuring that the data it shares with other organizations is correct and up to date. An organization will face one of the challenges (Miningwa, 2021). For the company to be able to keep track of the data and ensure that it is kept current at all times, it will need to implement the appropriate tracking and updating systems. Another barrier the business would need to overcome is the need to protect the safety and privacy of the data that it distributes. It would require the establishment of safety protocols inside the company, which are intended to safeguard the data.
Through collecting and storing data from a wide range of sources, the HIDE may pave the way for the availability of big data. A healthcare organization may then use this data to enhance the quality of treatment they deliver to its patients. The information may be used in several ways, including the detection of trends and patterns, the creation and evaluation of potential new medicines, and the oversight of the care that patients get.
In conclusion, the HIDE can provide a healthcare organization with standardized data from other organizations. It may be accomplished via the use of other organizations. Because of this, the organization would get a deeper understanding of the requirements of its patients and modify the treatment they provide accordingly. Additionally, it might assist the organization in better communicating with the many other health care providers and more successfully coordinating patient care with them.
Reference List
Rajamäki, J. (2020). Resilience Management Framework for Critical Information Infrastructure: Designing the Level of Trust that Encourages the Exchange of Health Data. Information & Security: An International Journal, 47(1), 91–108. https://doi.org/10.11610/isij.4706
Miningwa, A. (2021). INFLUENCE OF SOURCE OF DATA, INFORMATION FLOWS AND EXCHANGE PLATFORMS ON THE LEVEL OF HIS FEEDBACK IN PUBLIC HEALTH FACILITIES. American Journal of Data, Information and Knowledge Management, 2(1), 43–53. https://doi.org/10.47672/ajdikm.763
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