Medical Data Informatics Discussion Response - Healthcare Informatics

This discussion response addresses the critical role of medical informatics in the healthcare sector. The assignment emphasizes how information technology enhances treatment outcomes by improving care delivery and streamlining patient record-keeping, while also easing the workload of healthcare professionals. It highlights the importance of understanding the structure of medical data, information, and knowledge, which are arranged in a hierarchy and contribute to clinical procedures. The response references studies that underscore how a lack of knowledge regarding health informatics can hinder treatment processes and patient outcomes, as well as the significance of a collaborative approach among healthcare professionals. It also touches on the adverse effects of not properly understanding medical informatics, stressing the use of patient data across the healthcare system to facilitate knowledge sharing and streamline patient care. The response includes several references supporting the arguments.

Running head: MEDICAL DATA INFORMATICS
Medical Data Informatics
Name of the Student
Name of the University
Author Note

1MEDICAL DATA INFORMATICS
Response of Discussion Question 2
The issue of medical informatics or health care informatics refers to the use of
information technology in the health care sector. Therefore, it is reported that these health
care informatics are mainly used to improve the issue of treatment outcome by improving the
delivery of care and easing the process of record keeping of the patients. Moreover, the
medical care informatics eases the working burden of the health care professionals as well.
Therefore, it is very important to execute the use of medical informatics for the betterment of
patients’ treatment in hospital care setting. In order to do so, it is very crucial to understand
the structure of medical data, information and knowledge. The health care informatics model
comprise of these three essential parts and they are arranged in a hierarchy with data at the
base level followed by the basis of information upon the data and finally at the top knowledge
is placed and without the these two factors, gathering knowledge is not possible. These
contribute to the conceptual clarifications that provide support to the clinical procedures in
adequate detail (Moen & Mæland Knudsen, 2013). As a consequence of this, the health care
professionals can take decisions regarding the health conditions of the patients in an easier
manner and allows the streamline flows of the nursing care process. According to the study of
Åhlfeldt et al. (2016), it is stated that lack of knowledge regarding the issue of health
informatics can hamper the smooth flow of the treatment process and thereby hamper the
patient outcome. Moreover, in another study, it is reported that the proper understanding of
medical data, information and knowledge also help the health care professionals to work in a
collaborative manner. The use of collaborative approach is well documented in various
studies and any disruptions in a multidisciplinary approach can hamper the quality of care
(Nyström et al., 2018). Along with this, adverse treatment outcome is also reported due to
failure of proper understanding regarding the medical informatics. According to the study of
Luo et al. (2016) as a part of the health informatics, primarily data of the patients were

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collected and then they were shared across the health care system so that each and every
health care professional can access those patients’ information during providing care to the
patients and thus they can gather knowledge about the system and thereby able to provide a
streamline care to the patients.

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Reference
Åhlfeldt, R. M., Persson, A., Rexhepi, H., & Wåhlander, K. (2016). Supporting active patient
and health care collaboration: a prototype for future health care information systems. Health
informatics journal, 22(4), 839-853.
https://journals.sagepub.com/doi/full/10.1177/1460458215590862
Luo, J., Wu, M., Gopukumar, D., & Zhao, Y. (2016). Big data application in biomedical
research and health care: a literature review. Biomedical informatics insights, 8, BII-S31559.
https://journals.sagepub.com/doi/full/10.4137/BII.S31559
Moen, A., & Mæland Knudsen, L. M. (2013). Nursing informatics: decades of contribution to
health informatics. Healthcare informatics research, 19(2), 86-92.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3717442/
Nyström, M. E., Karltun, J., Keller, C., & Gäre, B. A. (2018). Collaborative and partnership
research for improvement of health and social services: researcher’s experiences from 20
projects. Health research policy and systems, 16(1), 46. https://health-policy-
systems.biomedcentral.com/articles/10.1186/s12961-018-0322-0
Palojoki, S., Pajunen, T., Saranto, K., & Lehtonen, L. (2016). Electronic health record-related
safety concerns: a cross-sectional survey of electronic health record users. JMIR medical
informatics, 4(2), e13. https://medinform.jmir.org/2016/2/e13/?
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