AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866929563908440064 |
|---|---|
| author | Ingole, Balaji Shesharao Ramineni, Vishnu Krishnappa, Manjunatha Sughaturu Jayaram, Vivekananda |
| author_facet | Ingole, Balaji Shesharao Ramineni, Vishnu Krishnappa, Manjunatha Sughaturu Jayaram, Vivekananda |
| contents | The U.S. Medicaid program is experiencing critical challenges that include rapidly increasing healthcare costs, uneven care accessibility, and the challenge associated with addressing a varied set of population health needs. This paper investigates the transformative potential of Artificial Intelligence (AI) in reshaping Medicaid by streamlining operations, improving patient results, and lowering costs. We delve into the pivotal role of AI in predictive analytics, care coordination, the detection of fraud, and personalized medicine. By leveraging insights from advanced data models and addressing challenges particular to Medicaid, we put forward AI-driven solutions that prioritize equitable care and improved public health outcomes. This study underscores the urgency of integrating AI into Medicaid to not only improve operational effectiveness but also to create a more accessible and equitable healthcare system for all beneficiaries. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_21284 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management Ingole, Balaji Shesharao Ramineni, Vishnu Krishnappa, Manjunatha Sughaturu Jayaram, Vivekananda Computers and Society Artificial Intelligence The U.S. Medicaid program is experiencing critical challenges that include rapidly increasing healthcare costs, uneven care accessibility, and the challenge associated with addressing a varied set of population health needs. This paper investigates the transformative potential of Artificial Intelligence (AI) in reshaping Medicaid by streamlining operations, improving patient results, and lowering costs. We delve into the pivotal role of AI in predictive analytics, care coordination, the detection of fraud, and personalized medicine. By leveraging insights from advanced data models and addressing challenges particular to Medicaid, we put forward AI-driven solutions that prioritize equitable care and improved public health outcomes. This study underscores the urgency of integrating AI into Medicaid to not only improve operational effectiveness but also to create a more accessible and equitable healthcare system for all beneficiaries. |
| title | AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2410.21284 |