Association Between Patient Portal Use and Broadband Access: a National Evaluation

Rodriguez, Jorge A.; Lipsitz, Stuart R.; Lyles, Courtney R.; Samal, Lipika

doi:10.1007/s11606-020-05633-4

Cited by 41 publications

(24 citation statements)

References 2 publications

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“…They include environmental, economic, and social determinants, along with issues relating to accessibility and variable quality of the healthcare delivered. When it comes to eHealth innovations, lack of broadband access can be a barrier10; in the USA, the likelihood of receiving an access code to activate health portals is significantly lower for minorities, the uninsured, non-English speakers and older patients 11. This additional barrier most likely reflects a combination of factors including structural biases in health care system processes, provider biases, differential patient literacy or computer access, broadband access and privacy concerns.…”

Section: Opportunity To Improve Health Equitymentioning

confidence: 99%

Empowering patients and reducing inequities: is there potential in sharing clinical notes?

et al. 2020

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Section: Opportunity To Improve Health Equitymentioning

confidence: 99%

Empowering patients and reducing inequities: is there potential in sharing clinical notes?

et al. 2020

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“…Challenges exist in increasing the delivery of buprenorphine via telemedicine. First, we recognize that inequities exist in telemedicine access for all disease management: rural residents, racial minorities, older adults, and those with low income have limited access to digital technology and limited digital literacy, and Internet coverage or cell service is limited in rural areas ( Nouri et al, 2020 ; Rodriguez et al, 2020 ). Many of our patients who are older, with limited English proficiency or of low socioeconomic status do not have reliable smart phone access.…”

mentioning

confidence: 99%

Telemedicine increases access to buprenorphine initiation during the COVID-19 pandemic

Wang

Weiss

Ryan

et al. 2021

Journal of Substance Abuse Treatment

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“…Many factors drive current differential usage of digital health innovations including costs, lack of broadband access, and lower levels of digital and health literacy among underprivileged populations. (46,47) Research also suggests that in the US, health app usage is more common among people who are younger, better educated, on a higher income, or in better health (48). Our panel predicted that US healthcare will become increasingly productized.…”

Section: Discussionmentioning

confidence: 99%

US Primary Care in 2029: A Delphi Survey on the Impact of Machine Learning

Blease

Kharko

Locher

et al. 2020

Preprint

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Objective: To solicit leading health informaticians predictions about the impact of AI/ML on primary care in the US in 2029. Design: A three-round online modified Delphi poll. Participants: Twenty-nine leading health informaticians. Methods: In September 2019, health informatics experts were selected by the research team, and invited to participate the Delphi poll. Participation in each round was anonymous, and panelists were given between 4-8 weeks to respond to each round. In Round 1 open-ended questions solicited forecasts on the impact of AI/ML on: (1) patient care, (2) access to care, (3) the primary care workforce, (4) technological breakthroughs, and (5) the long-future for primary care physicians. Responses were coded to produce itemized statements. In Round 2, participants were invited to rate their agreement with each item along 7-point Likert scales. Responses were analyzed for consensus which was set at a predetermined interquartile range of ≤ 1. In Round 3 items that did not reach consensus were redistributed. Results: A total of 16 experts participated in Round 1 (16/29, 55%). Of these experts 13/16 (response rate, 81%), and 13/13 (response rate, 100%), responded to Rounds 2 and 3, respectively. As a result of developments in AI/ML by 2029 experts anticipated workplace changes including incursions into the disintermediation of physician expertise, and increased AI/ML training requirements for medical students. Informaticians also forecast that by 2029 AI/ML will increase diagnostic accuracy especially among those with limited access to experts, minorities and those with rare diseases. Expert panelists also predicted that AI/ML-tools would improve access to expert doctor knowledge. Conclusions: This study presents timely information on informaticians consensus views about the impact of AI/ML on US primary care in 2029. Preparation for the near-future of primary care will require improved levels of digital health literacy among patients and physicians.

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Association Between Patient Portal Use and Broadband Access: a National Evaluation

Cited by 41 publications

References 2 publications

Empowering patients and reducing inequities: is there potential in sharing clinical notes?

Empowering patients and reducing inequities: is there potential in sharing clinical notes?

Telemedicine increases access to buprenorphine initiation during the COVID-19 pandemic

US Primary Care in 2029: A Delphi Survey on the Impact of Machine Learning

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