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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
             The proposed framework combines cutting-edge technology   4.  Cost-Effectiveness
             with  a  strong  focus  on  user  needs  and  community     Analyze  deployment  costs,  including  infrastructure,
             integration. By addressing key technical, educational, and   training, and maintenance, against the benefits gained
             infrastructural  challenges,  DigiVision  aims  to  create  a   (e.g., reduced healthcare expenditure, improved health
             transformative  platform  that  enhances  multi-disease   outcomes).
             diagnosis  and  public  health  awareness,  ultimately     Compare the cost per diagnosis and treatment enabled
             contributing  to  equitable  healthcare  delivery  on  a  global   by DigiVision to traditional diagnostic methods.
             scale.
                                                                  Assess  scalability  and  affordability,  particularly  in
             6.  Performance Evaluation
                                                                   resource-constrained settings.
             The  success  and  effectiveness  of  DigiVision  are  assessed
             through systematic pilot programs conducted across diverse   5.  Impact on Public Awareness
             settings. The evaluation framework focuses on the following     Measure changes in health literacy levels through pre-
             key performance indicators:                           and post-deployment surveys.
             1.  Diagnostic Accuracy                              Track  engagement  with  the  platform's  educational
               Compare  AI-driven  diagnostic  results  with  clinical   resources and evaluate its effectiveness in promoting
                outcomes  to  determine  precision,  recall,  and  overall   preventative health behaviors.
                accuracy.
                                                                  Monitor community-level trends in routine health check-
               Evaluate the system's ability to detect multiple diseases   ups and preventive measures.
                simultaneously without compromising on accuracy.
                                                                7.  Conclusion
               Perform statistical analysis to assess sensitivity (true   DigiVision  represents  a  significant  advancement  in
                positive  rate)  and  specificity  (true  negative  rate)  for   leveraging AI for community health. By combining multi-
                each disease category.                          disease diagnostics with public health education, it addresses
                                                                critical gaps in healthcare delivery and promotes equitable
             2.  User Adoption
                                                                access.  With  its  scalable  and  adaptable  framework,
               Measure the platform's usability by tracking adoption
                                                                DigiVision  has  the  potential  to  transform  global  health
                rates  among  target  populations,  including  healthcare
                                                                systems and empower communities to take charge of their
                providers and end-users.
                                                                well-being.  Future  efforts  will  focus  on  expanding  the
               Conduct  surveys  and  interviews  to  assess  user   platform’s  capabilities  and  ensuring  its  integration  with
                satisfaction,  ease  of  use,  and  trust  in  the  diagnostic   existing healthcare infrastructures.
                process.
                                                                8.  References
               Analyze  platform  engagement  metrics,  such  as   [1]   Ada Health. (2021). AI in Symptom Checking. [Online].
                frequency of usage, retention rates, and feedback trends.   Available: https://www.ada.com
             3.  Health Outcomes                                [2]   Babylon  Health.  (2021).  Transforming  Healthcare
               Assess  improvements  in  early  disease  detection  and   with   AI.    [Online].     Available:
                timely  medical  intervention  through  longitudinal   https://www.babylonhealth.com
                studies.
                                                                [3]   Project ECHO. (2020). Expanding Healthcare Access in
               Evaluate changes in treatment adherence rates among   Rural     Areas.     [Online].   Available:
                diagnosed individuals.                               https://echo.unm.edu
               Monitor community health metrics such as the reduction   [4]   WHO.  (2022).  Global  Health  Estimates.  [Online].
                in  disease  prevalence  and  progression  due  to  early   Available: https://www.who.int
                diagnosis.
                                                                [5]   Smith, J., & Patel, R. (2021). AI and Healthcare in Low-
                                                                     Resource Settings. Journal of Global Health Innovation,
                                                                     8(2), 34-45.

























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