Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1488 - 1504
Опубликована: Июнь 25, 2024
This paper explores the multifaceted nature of healthcare resource allocation, examining demographic and psychographic analysis, data sources analysis techniques, challenges, future directions, innovations. Demographic provides insights into population characteristics, demand, disparities, informing targeted allocation strategies. Psychographic complements by elucidating patient attitudes, behaviors, preferences, guiding personalized care delivery intervention design. A diverse array sources, including electronic health records, surveys, geospatial data, underpins allocation. Advanced techniques such as predictive analytics machine learning unlock actionable from these enabling proactive optimization. Challenges quality, bias, ethical considerations underscore complexity However, emerging innovations, artificial intelligence, precision medicine, value-based models, offer transformative potential for optimizing improving outcomes. Looking ahead, integration innovative technologies patient-centered models promises to reshape emphasizing equity, efficiency, engagement. By navigating challenges thoughtfully embracing opportunities, systems can enhance strategies better meet evolving needs patients communities. administrative databases, social determinants analytics, learning, spatial simulation modeling Keywords: Healthcare Resource Allocation, Analysis, Data Sources, Analysis Techniques, Future Directions.
Язык: Английский