Paper Contents
Abstract
The current trend toward patient-specific healthcare requires complete awareness about customerssocial standing and their health conditions so providers can create customized care plans. Research analyzes the combined effects of social-economic variables (income, education and work roles) and medical measurement indicators (chronic diseases, lifestyle practices and healthcare availability) to generate insights for individualized healthcare strategies. The research design incorporated mixed methods to process 2,500 individual responses from both urban and rural populations together with health provider qualitative data. Research demonstrates that people with lower earnings tend to experience more preventable diseases and discover lesser healthcare choices and weaker health understanding abilities. Health outcomes were better among wealthier groups although they experienced health issues from stress and unhealthy life choices. The research demonstrates how data-based individualized healthcare models which consider social economic discrepancies enhance health equity. The proposed solutions feature three main elements: adding socio-economic information to digital medical reports and designing special healthcare guidance programs and employing local health care professionals to assist lower-income communities. Health-policy decision-makers together with healthcare providers can improve patient care and health results when they use socio-economic data to personalize health services. The study emphasizes the necessity of developing an all-inclusive healthcare model based on individual socio-economic conditions to build inclusive health systems.
Copyright
Copyright © 2025 Satish Kannuru,. This is an open access article distributed under the Creative Commons Attribution License.
