US Residents’ Preferences for Sharing of Electronic Health Record and Genetic Information: A Discrete Choice Experiment

Wagner, Abram L.; Zhang, Felicia; Ryan, Kerry A.; Xing, Eric P.; Nong, Paige; Kardia, Sharon L.R.; Platt, Jodyn

doi:10.1016/j.jval.2023.01.015

Cited by 6 publications

(3 citation statements)

References 24 publications

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“…The 4 considerations described above coalesce at both policy [48][49][50][51] and local levels. 52 At a policy level, guidance regarding the creation of AI products with secondary data could be provided to developers that respects and reflects the perspectives of the individuals who generated the data.…”

Section: Simpl: a Real-world Examplementioning

confidence: 99%

Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models

Thoma,

Spadafore,

Sebok-Syer

et al. 2023

Acad Med

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Medical training programs and health care systems collect ever-increasing amounts of educational and clinical data. These data are collected with the primary purpose of supporting either trainee learning or patient care. Well-established principles guide the secondary use of these data for program evaluation and quality improvement initiatives. More recently, however, these clinical and educational data are also increasingly being used to train artificial intelligence (AI) models. The implications of this relatively unique secondary use of data have not been well explored. These models can support the development of sophisticated AI products that can be commercialized. While these products have the potential to support and improve the educational system, there are challenges related to validity, patient and learner consent, and biased or discriminatory outputs. The authors consider the implications of developing AI models and products using educational and clinical data from learners, discuss the uses of these products within medical education, and outline considerations that should guide the appropriate use of data for this purpose. These issues are further explored by examining how they have been navigated in an educational collaborative.

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Section: Simpl: a Real-world Examplementioning

confidence: 99%

Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models

Thoma,

Spadafore,

Sebok-Syer

et al. 2023

Acad Med

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show abstract

“… 15 The discrete choice experiment was also used to evaluate the preference of sharing electronic health records and genetic information. 16 At present, while there is a growing body of research focusing on health plans and using discrete choice experiments to determine residents’ preference for the service contents provided for health plans. 16 There is a gap in the literature regarding the follow-up service of physical examination using discrete choice experiments.…”

Section: Introductionmentioning

confidence: 99%

Preferences for Physical Examination Service in Community Health Service Center in China: A Discrete Choice Experiment

Sun,

Li,

et al. 2024

PPA

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Objective Physical examination services play a crucial role in the early detection of diseases, improving the effectiveness of treatment. However, the current physical examination services provided by community health service centers are limited. The objective of this study was to investigate the aspects of physical examination services that are most valued by residents. Methods Identify and develop attributes and levels through literature research and expert group interviews. A discrete choice experiment was designed. The main effects design gives rise to 16 choice sets. The 16 choice sets were grouped into 2 blocks, and respondents were randomly assigned to one of the blocks. In each choice set, respondents were asked to choose from two alternatives with an opt-out option. In 2023, the discrete choice experiment was administered in several community health service centers within a China population sample. A mixed logit and a latent class analysis were conducted. Results Participants (n = 399) preferred to receive health advice service. The services provided by the basic team with clinical experts are preferred over those provided solely by the basic team. The results indicated a preference for a participant to be serviced by face-to-face or telephone compared with WeChat. Low cost is also preferred. As participants grow older, their preference for face-to-face or telephone-based services increased. As participants’ service demand increase, participants more preferred to receive interpretation of physical examination report and follow-up of important abnormal results, participants more preferred to be serviced by basic team with clinical experts or basic team with health manager etc. Conclusion We should improve the construction of the service team, optimize the service mode, expand the scope of examination services, reduce the cost of examination services, and meet the needs of residents for physical examination services. More attention should be paid to the needs of elderly and rural residents.

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“…Efforts have been made to address these problems. Regulatory bodies have introduced guidelines and standards for data security and privacy in healthcare, and research is ongoing to reduce bias in AI algorithms [27] . However, the effectiveness of these measures remains a subject of scrutiny.…”

Section: Introductionmentioning

confidence: 99%

We may Still not be Ready for Newer Healthcare Technologies: An Ethical Perspective of Privacy Concerns

Appiah,

Majeed

2024

Preprint

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US Residents’ Preferences for Sharing of Electronic Health Record and Genetic Information: A Discrete Choice Experiment

Cited by 6 publications

References 24 publications

Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models

Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models

Preferences for Physical Examination Service in Community Health Service Center in China: A Discrete Choice Experiment

We may Still not be Ready for Newer Healthcare Technologies: An Ethical Perspective of Privacy Concerns

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