From Data To Care: Leveraging Tech For Value, Engagement, And Personalization

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Published: Dec 30, 2023
DOI: https://doi.org/10.53555/jrtdd.v6i10s(2).3503
Keywords:
Electronic Health Records Telehealth Precision Medicine Population Health Management Artificial Intelligence Value-Based Care Big Data Analytics Mobile Health Patient-Centered Medicine Machine Learning Personalized Medicine Technology Genomics

Main Article Content

Shashi Thota
Harika Palaparthy
Leeladhar Gudala
Ajay Aakula

Abstract

Healthcare technology increases VBC, PCM, and PM convergence. Reliable databases evaluate government studies, white papers, and peer-reviewed journals. Search VBC, PCM, PM, healthcare tech. A thorough literature study supports these ideas and technology's healthcare impact. 
Technology improves VBC, PCM, and PM cooperation, says the paper. Data and analytics help VBCs target high-risk populations. EHRs and machine learning discover PHM chronic disease risk factors. Remote chronic disease care is cheaper and easier using telehealth.
PCM has patient tech. Physician involvement, medication adherence, and protected medical data enhance patient portal usage. MHealth uses education, self-monitoring, and dose reminders. Live biometric data from wearable devices helps patients achieve health goals. Tech aids PM. After genome sequencing, genetics may alter treatment. Genetic, clinical, and environmental big data analytics may help researchers find illness biomarkers and adapt therapies. AI predicts and alters treatment using big datasets. PM precision medicine targets biological processes to enhance effectiveness and side effects. Technologies like VBC, PCM, and PM affect healthcare. VBC emphasizes value over volume for preventive and coordinated treatment, which may save healthcare expenditures and enhance population health. Patient-centered tech may improve chronic illness self-management, treatment adherence, and satisfaction. Effective and tailored drugs may improve healthcare outcomes and inequalities.  Remove obstacles to improve convergence. Protecting patient data needs cybersecurity. EHR interoperability may limit public health data exchange. Fair technology access prevents healthcare inequity. Healthcare technology integration involves digital literacy and poverty reduction. 
PCM, VBC, and PM change healthcare. Technology allows patient engagement, data-driven decision-making, and personalized treatment. Equity, interoperability, and tech need R&D. IT allows proactive, tailored, value-driven healthcare. 

Article Details

How to Cite
Shashi Thota, Harika Palaparthy, Leeladhar Gudala, & Ajay Aakula. (2023). From Data To Care: Leveraging Tech For Value, Engagement, And Personalization. Journal for ReAttach Therapy and Developmental Diversities, 6(10s(2), 1827–1840. https://doi.org/10.53555/jrtdd.v6i10s(2).3503
Issue
Vol. 6 No. 10s(2) (2023)
Section
Articles
Author Biographies

Shashi Thota

Lead Data Analytics Engineer, Naten LLC, Irvine, TX, USA

Harika Palaparthy

Product Owner, Lambdanets, USA

Leeladhar Gudala

Software Engineering Master, Deloitte Consulting LLP, Pennsylvania, USA

Ajay Aakula

Senior Consultant, Deloitte, Dallas, TX, USA

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