Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
- URL: http://arxiv.org/abs/2505.24035v1
- Date: Thu, 29 May 2025 22:15:13 GMT
- Title: Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
- Authors: Vishnu Ramineni, Aditya Gupta, Balakrishna Pothineni, Isan Sahoo, Shivareddy Devarapalli, Balaji Shesharao Ingole,
- Abstract summary: The paper aims to explicate key factors behind digital accessibility for Medicaid populations and expounds robust solutions to eradicate these challenges.<n>The paper highlights the vitality of collaboration between healthcare professionals, policymakers, and tech developers in unveiling the accessibility and usability impediments.
- Score: 3.4260542963866594
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The swift evolution of telehealth has revolutionized how medical professionals deliver healthcare services and boost convenience and accessibility. Yet, the Medicaid population encounters several impediments in utilizing facilities especially owing to poor internet connectivity, less awareness about digital platforms, and a shortage of assistive technologies. The paper aims to explicate key factors behind digital accessibility for Medicaid populations and expounds robust solutions to eradicate these challenges. Through inclusive design ideas, AI-assisted technologies, and all-encompassing policies by the concerned authorities, healthcare professionals can enhance usability and efficacy and thus better serve the needy. This revolution not only enhances convenience but also expands access, mainly for underserved groups such as rural populations or those with mobility issues, thereby ensuring inclusivity and flexibility in the healthcare domain. Besides, the paper highlights the vitality of collaboration between healthcare professionals, policymakers, and tech developers in unveiling the accessibility and usability impediments. What else helps in minimizing healthcare differences and enhancing patient outcomes is guaranteeing equitable access to telehealth for Medicaid beneficiaries. The paper systematically offers major recommendations to increase digital accessibility in telehealth, thereby creating a patient-oriented and all-encompassing healthcare system.
Related papers
- AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management [1.4802369202548666]
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.
arXiv Detail & Related papers (2024-10-11T07:14:42Z) - Decentralized Health Intelligence Network (DHIN) [0.0]
Decentralized Health Intelligence Network (DHIN) extends the Decentralized Intelligence Network (DIN) framework to address challenges in healthcare data sovereignty and AI utilization.
Building upon DIN's core principles, DHIN introduces healthcare-specific components to tackle data fragmentation across providers and institutions.
It facilitates effective AI utilization by overcoming barriers to accessing diverse health data sources.
arXiv Detail & Related papers (2024-08-12T15:47:26Z) - Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach [55.5769013369398]
This research pioneers user-centric, privacy-aware technologies such as Federated Learning (FL)
FL enables collaborative learning without sharing sensitive data, addressing privacy and scalability issues.
This work includes developing solutions for smart wheelchair assistance, enhancing user independence and well-being.
arXiv Detail & Related papers (2024-05-23T13:14:08Z) - Benefits and Harms of Large Language Models in Digital Mental Health [40.02859683420844]
Large language models (LLMs) show promise in leading digital mental health to uncharted territory.
This article presents contemporary perspectives on the opportunities and risks posed by LLMs in the design, development, and implementation of digital mental health tools.
arXiv Detail & Related papers (2023-11-07T14:11:10Z) - Blockchain-empowered Federated Learning for Healthcare Metaverses:
User-centric Incentive Mechanism with Optimal Data Freshness [66.3982155172418]
We first design a user-centric privacy-preserving framework based on decentralized Federated Learning (FL) for healthcare metaverses.
We then utilize Age of Information (AoI) as an effective data-freshness metric and propose an AoI-based contract theory model under Prospect Theory (PT) to motivate sensing data sharing.
arXiv Detail & Related papers (2023-07-29T12:54:03Z) - The Design and Implementation of a National AI Platform for Public
Healthcare in Italy: Implications for Semantics and Interoperability [62.997667081978825]
The Italian National Health Service is adopting Artificial Intelligence through its technical agencies.
Such a vast programme requires special care in formalising the knowledge domain.
Questions have been raised about the impact that AI could have on patients, practitioners, and health systems.
arXiv Detail & Related papers (2023-04-24T08:00:02Z) - Autonomous Mobile Clinics: Empowering Affordable Anywhere Anytime
Healthcare Access [1.3858051019755282]
An autonomous mobile clinic solves the healthcare access problem by bringing healthcare services to the patient by the order of the patient's fingertips.
In stage one, we focus on solving the inequity challenge in the existing healthcare system by combining autonomous mobility and telemedicine.
In stage two, we develop an AI doctor for primary care, which we foster from infancy to adulthood with clean healthcare data.
In stage three, after we have proven that the autonomous mobile clinic network can truly solve the target clinical use cases, we shall open up the platform for all medical verticals.
arXiv Detail & Related papers (2022-04-11T02:59:55Z) - Sustainable Development Through a Mobile Application for a Community
Clinic [0.0]
This paper investigates the question: How can technology and training interventions enable clinicians to offer care that addresses the socioeconomic limitations of their patients?
This paper observes the implementation of a mobile app designed to offer people who cannot access health resources in Omaha, Nebraska, a city in the Midwestern United States.
arXiv Detail & Related papers (2021-08-22T16:40:55Z) - Internet-of-Things Devices and Assistive Technologies for Healthcare:
Applications, Challenges, and Opportunities [5.8497361730688695]
Hospitals and clinics no longer have the ability to accommodate large numbers of incoming patients.
It is clear that the current state of the health industry needs to improve its valuable and limited resources.
The evolution of the Internet of Things (IoT) devices along with assistive technologies can alleviate the problem in healthcare.
arXiv Detail & Related papers (2021-07-11T12:18:12Z) - Digital Twins, Internet of Things and Mobile Medicine: a Review of
Current Platforms to Support Smart Healthcare [0.0]
"Smart Healthcare" offers many approaches aimed at solving the acute problems faced by modern healthcare.
In this paper, we review the main problems of modern healthcare, analyze existing approaches and technologies in the areas of digital twins, the Internet of Things and mobile medicine.
arXiv Detail & Related papers (2021-06-22T13:01:39Z) - Edge Intelligence for Empowering IoT-based Healthcare Systems [42.909808437026136]
This article highlights the benefits of edge intelligent technology, along with AI in smart healthcare systems.
A novel smart healthcare model is proposed to boost the utilization of AI and edge technology in smart healthcare systems.
arXiv Detail & Related papers (2021-03-22T19:35:06Z) - Assessing the Severity of Health States based on Social Media Posts [62.52087340582502]
We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health state.
The diverse NLU views demonstrate its effectiveness on both the tasks and as well as on the individual disease to assess a user's health.
arXiv Detail & Related papers (2020-09-21T03:45:14Z) - Digital Ariadne: Citizen Empowerment for Epidemic Control [55.41644538483948]
The COVID-19 crisis represents the most dangerous threat to public health since the H1N1 pandemic of 1918.
Technology-assisted location and contact tracing, if broadly adopted, may help limit the spread of infectious diseases.
We present a tool, called 'diAry' or 'digital Ariadne', based on voluntary location and Bluetooth tracking on personal devices.
arXiv Detail & Related papers (2020-04-16T15:53:42Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.