Uniform Ambulatory Care Data Set (UACDS) and Uniform Discharge Data Set (UHDDS) – Benefits
Uniform Ambulatory Care Data Set (UACDS) and Uniform Discharge Data Set (UHDDS) – Benefits
Question
Structured to provide detailed information about hospital admissions and episodes, UACDS and UHDDS are sets of medical data. Using UACDS to regulate ambulatory care can be quite helpful. In a hospital, the core data set necessary for inpatient admission is UHDDS. Through UHDDS, uniform and consistent data regarding patient discharge is obtained. Risks and benefits related to granting the public access to specific databases will be discussed in the following table.
| Risk | Benefits |
| In healthcare system, maintenance of the confidentially of patient’s information prioritized. However, in case these abovementioned databases remain open to public, it may lead to possibility of personal data leakage. | First of all, open database for general public can be beneficial in maintaining transparency within the healthcare system. Participation of public in planning programs and providing feedback increase awareness among public. |
| A second potential risk associated with easy access to these datasets is data misinterpretation. The general public may not have detailed knowledge of medical terminology. Considering this fact, we anticipate the risk of users misunderstanding the data 2. | When data is open, public services can be improved. Through open data, governments and regulators regularly assess data and stay aware of gaps in publicly available data. This ultimately helps governing bodies improve public services. |
| Open data incorporates innovative programs, which might increase the economic burden on the healthcare system. | Open data allows re- use of public data for social innovation 3. Researchers may use this data to order to conduct particular research on healthcare topics. |
| The risk of cybersecurity may be created for the internal IT department who are involved in protecting this large set of data 4. Reengineering of the data may lead to beaching of personal data and this may directly be related to patient’s health. | Economic burden spent on data collection of clinical experiments may be avoided and this will eventually help to reduce the economic burden of the government and other regulating agencies. |
| At las but not the least the regulatory body maintaining the databases might be sued for releasing protected information. | Efficiency is another major factor which is considered in this regard. Through open databases citizens of the country can be empowered. |
- Meyers, David L. “Interoperability: E Pluribus Unum.” In Healthcare information management systems, pp. 421-436. Springer, Cham, 2016.
- Serwadda, David, Paul Ndebele, M. Kate Grabowski, Francis Bajunirwe, and Rhoda K. Wanyenze. “Open data sharing and the Global South—Who benefits?.” Science 359, no. 6376 (2018): 642-643.
- Shahin, Mohamed H., Sanchita Bhattacharya, Diego Silva, Sarah Kim, Jackson Burton, Jagdeep Podichetty, Klaus Romero, and Daniela J. Conrado. “Open data revolution in clinical research: Opportunities and challenges.” Clinical and translational science13, no. 4 (2020): 665-674.
- Coventry, Lynne, and Dawn Branley. “Cybersecurity in healthcare: a narrative review of trends, threats and ways forward.” Maturitas113 (2018): 48-52.
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