Assessing the impact of telehealth on healthcare access and quality

This dissertation examines the impact of telehealth services on healthcare access and quality, specifically addressing the critical issue of disparities in healthcare delivery heightened by geographic and socioeconomic barriers.Employing a mixed-methods approach, the study integrates quantitative data collected through metrics such as appointment availability and wait times alongside qualitative insights garnered from patient satisfaction surveys and interviews with healthcare providers.The findings reveal that telehealth implementation significantly enhances access to healthcare, particularly for underserved populations, by reducing wait times and increasing appointment availability.Additionally, the study identifies that while patient satisfaction levels are generally high, there are notable variations based on demographics and specific healthcare needs.These insights underscore the importance of tailoring telehealth solutions to diverse populations to maximize their effectiveness.The significance of this research lies in its potential to inform policymaking and healthcare practices by highlighting the effectiveness of telehealth in bridging accessibility gaps in healthcare services.Furthermore, the implications extend to encouraging healthcare systems to adopt more inclusive telehealth strategies, ultimately aiming for improved health outcomes and equity in care delivery across varied demographic groups.In conclusion, this study contributes to a growing body of evidence that supports the integration of telehealth into mainstream healthcare, advocating for its role as a pivotal solution in addressing long-standing disparities in healthcare access and quality.

Authors

Publication Details

Journal
Journal of Artificial Intelligence Machine Learning and Data Science
Published
2025-03-30
DOI
https://doi.org/10.51219/jaimld/amit-nandal/544
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing the impact of telehealth on healthcare access and quality

Amit Nandal
Journal of Artificial Intelligence Machine Learning and Data Science
Telemedicine and Telehealth Implementation
article

Assessing the impact of telehealth on healthcare access and quality

Amit Nandal
article en

Abstract

This dissertation examines the impact of telehealth services on healthcare access and quality, specifically addressing the critical issue of disparities in healthcare delivery heightened by geographic and socioeconomic barriers.Employing a mixed-methods approach, the study integrates quantitative data collected through metrics such as appointment availability and wait times alongside qualitative insights garnered from patient satisfaction surveys and interviews with healthcare providers.The findings reveal that telehealth implementation significantly enhances access to healthcare, particularly for underserved populations, by reducing wait times and increasing appointment availability.Additionally, the study identifies that while patient satisfaction levels are generally high, there are notable variations based on demographics and specific healthcare needs.These insights underscore the importance of tailoring telehealth solutions to diverse populations to maximize their effectiveness.The significance of this research lies in its potential to inform policymaking and healthcare practices by highlighting the effectiveness of telehealth in bridging accessibility gaps in healthcare services.Furthermore, the implications extend to encouraging healthcare systems to adopt more inclusive telehealth strategies, ultimately aiming for improved health outcomes and equity in care delivery across varied demographic groups.In conclusion, this study contributes to a growing body of evidence that supports the integration of telehealth into mainstream healthcare, advocating for its role as a pivotal solution in addressing long-standing disparities in healthcare access and quality.

Journal of Artificial Intelligence Machine Learning and Data ScienceVol. 3(1)
Openalex Percentile: Top 89%
Telemedicine and Telehealth Implementation
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