Predictive analysis is rapidly transforming the healthcare industry by
leveraging advanced data analytics techniques to predict patient outcomes and identify
medical record trends. With the increasing availability of electronic health records
(EHRs), wearable devices, and other healthcare data sources, healthcare organizations
can use the results of predictive analytics to improve patient care, optimize resource
allocation, and enhance overall healthcare delivery.
Predictive analysis is a data-driven approach that utilizes historical data and statistical
algorithms to make informed predictions about future events. In the context of
healthcare, predictive analysis involves extracting valuable patterns from huge amounts
of patient data to anticipate patient outcomes, disease progression, and medical trends.
Predictive analytics can identify individuals at high risk of having specific diseases
based on their past medical records and history, genetics, lifestyle, and environmental
factors. Early detection allows for proactive interventions, such as lifestyle changes,
screenings, or preventive treatments, which can significantly reduce healthcare costs
and improve patient outcomes. Healthcare providers can use this information to tailor
treatment plans, allocate resources efficiently, and prioritize patient care. Predictive
analytics can assess patient adherence to medication regimens by analyzing historical
data and patient behavior.
The chapter explores the significance of predictive analysis in healthcare and its
applications in Healthcare Policy and Planning. Policymakers can use predictive
analysis to anticipate healthcare needs, allocate budgets, and plan for future healthcare
infrastructure requirements. Predictive analysis is revolutionizing healthcare by
enabling the forecasting of patient outcomes and medical trends. By harnessing the
power of data and advanced analytics, healthcare providers, researchers, and
policymakers can make more informed decisions, improve patient care, and contribute
to the overall well-being of populations. As technology continues to advance and more
data becomes available, the usage of predictive analysis in healthcare is expected to
expand, offering even greater opportunities to enhance the quality and efficiency of
healthcare delivery.
Keywords: Artificial intelligence, Healthcare, Machine learning, Predictive analysis.
