Healthcare Data: Importance, Challenges, and Future Trends

This report delves into the significance of healthcare data, highlighting its crucial role in patient care, medical treatment, and health insurance processes. It emphasizes the use of healthcare data to improve patient outcomes and the overall health of the population. The report examines the benefits of healthcare data, such as improved diagnosis, treatment, and management of patient appointments, while also addressing the challenges associated with its implementation, including data security and the need for robust infrastructure. The analysis covers the impact of healthcare data on cost-effectiveness, its role in preventing medical errors, and its potential for promoting public health through the identification and mitigation of diseases. The report concludes with a discussion of the future trends and implications of healthcare data, emphasizing its importance in shaping the future of healthcare.

Population Health management
Importance of health care data
Health care data provides complete details about the patient. Health care data is collected
during patient visits and medical procedures. It helps in managing the patients who step in to
the hospital for various reasons. It ensures the exploration of new treatments, medical
challenges, and research study. Health care data prevents medical errors and assure holistic
medical care individually. It helps in diagnosing and treating the patients. It monitors and
manages the patient appointment. It also aids in planning health care programs. It also
promises data security and maintains confidentiality. It promotes patient care by individual
patient care, and rule out allergic reactions.
Issues with health care data
In spite of various benefits, implementation of health care data has issues. It is a complicated
system to execute. There is the insecurity of collected data which can be misused by the
company or organization. Managing data is a challenging task. Management of huge volume
of data needs vast infrastructure, which may also fail if the data volume increases.
Promotes health and cost effective
Health care data collection is useful for all the medical team members and patient. It uses the
health information of the patients productively. It reduces the cost of medical treatment.
Health care data can be submitted to the health insurance companies and get paid for data
sharing. It helps to improve the health of the overall population by analysing the dreadful
diseases and implement preventive measures. It is a dual benefit plan.
References
Adibuzzaman, M., DeLaurentis, P., Hill, J., & Benneyworth, B. D. (2018). Big data in
healthcare - the promises, challenges and opportunities from a research perspective: A
case study with a model database. AMIA ... Annual Symposium proceedings. AMIA
Symposium, 2017, 384–392 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977694/