Publications

@article{nokey,

title = {County-Level Food Insecurity and Access to Medicare Advantage Food Benefits},

author = {Manish Kumar and Amelia M. Bond and Dhruv Khullar},

doi = {10.1001/jamanetworkopen.2025.48223},

year  = {2025},

date = {2025-12-10},

journal = {JAMA Network Open},

volume = {8},

issue = {12},

abstract = {Nearly 17% of Medicare enrollees experience food insecurity,1 a share projected to increase following recent cuts to the Supplemental Nutrition Assistance Program.2 Since 2020, Medicare Advantage (MA) plans—which now enroll more than half of the Medicare population—have been able to offer a Food and Produce supplemental benefit, allowing plans to provide targeted allowances to beneficiaries to purchase healthy foods.



Supplemental benefits have drawn scrutiny, given mixed and incomplete evidence on how they are used and to whom they are offered.3-5 We examined the characteristics of plans offering the Food and Produce benefit in 2025 and assessed whether enrollment in these plans matched county-level need for nutritional support.},

keywords = {Telehealth and Artificial Intelligence},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Telehealth Delivery Differs Significantly By Physician And Practice Characteristics},

author = {Jiani Yu and Yasin Civelek and Lawrence P. Casalino and Hye-Young Jung and Reekarl Pierre and Manyao Zhang and Dhruv Khullar},

doi = {10.1377/hlthaff.2024.00052},

year  = {2024},

date = {2024-09-03},

urldate = {2024-09-03},

journal = {Health Affairs },

volume = {43},

issue = {9},

pages = {1311-1318},

abstract = {In this study of 2022 Medicare fee-for-service claims, we found that female physicians, primary care physicians, psychiatrists, and physicians in nonrural practices delivered relatively higher proportions of visits via telehealth.},

keywords = {Telehealth and Artificial Intelligence},

pubstate = {published},

tppubtype = {article}

}

@article{nokey_40,

title = {Audio-Only Telehealth Use Among Traditional Medicare Beneficiaries},

author = {Jiani Yu and Yasin Civelek and Lawrence P. Casalino and Hye-Young Jung and Manyao Zhang and Reekarl Pierre and Dhruv Khullar},

doi = {10.1001/jamahealthforum.2024.0442},

year  = {2024},

date = {2024-05-10},

urldate = {2024-05-10},

journal = {JAMA Health Forum},

abstract = {Medicare expanded telehealth coverage during the COVID-19 pandemic, including for audio-only visits. Audio-only visits may be accessible to individuals lacking reliable internet for video visits; however, some have argued that these visits may lead to poorer quality care, increased costs, and fraudulent claims.1,2 Except for audio-only mental health visits, Medicare reimbursement for audio-only visits will expire after December 2024. We analyzed how audio-only telehealth use has changed over time and which patients would be most affected by policy reforms.},

keywords = {Telehealth and Artificial Intelligence},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Large Language Models in Health Care: Charting a Path Toward Accurate, Explainable, and Secure AI},

author = {Dhruv Khullar and Xingbo Wang and Fei Wang},

doi = {https://doi.org/10.1007/s11606-024-08657-2},

year  = {2024},

date = {2024-02-02},

urldate = {2024-02-02},

journal = {Journal of General Internal Medicine},

volume = {39},

issue = {3},

keywords = {Telehealth and Artificial Intelligence},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Perspectives of Patients About Artificial Intelligence in Health Care},

author = {Dhruv Khullar and Lawrence P. Casalino and Yuting Qian and Yuan Lu and Harlan M. Krumholz and Sanjay Aneja},

doi = {https://doi.org/10.1001/jamanetworkopen.2022.10309},

year  = {2022},

date = {2022-05-02},

urldate = {2022-05-02},

journal = {JAMA Network Open},

volume = {5},

issue = {5},

abstract = {This survey study describes the results of a nationally representative survey on artificial intelligence use in health care delivery.},

keywords = {Telehealth and Artificial Intelligence},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = { Telehealth Use for Mental Health Conditions Among Enrollees in Commercial Insurance},

author = {Jiani Yu and Lawrence P. Casalino and Harold Alan Pincus},

doi = {https://doi.org/10.1176/appi.ps.202000778},

year  = {2022},

date = {2022-02-01},

urldate = {2022-02-01},

journal = {73},

volume = {2},

pages = {239-240},

keywords = {Telehealth and Artificial Intelligence},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Public vs physician views of liability for artificial intelligence in health care},

author = {Dhruv Khullar and Lawrence P. Casalino and Yuting Qian and Yuan Lu and Enoch Chang and Sanjay Aneja},

doi = {https://doi.org/10.1093/jamia/ocab055},

year  = {2021},

date = {2021-07-14},

urldate = {2021-07-14},

journal = {JAMIA},

volume = {28},

issue = {7},

pages = {1574-1577},

abstract = {The growing use of artificial intelligence (AI) in health care has raised questions about who should be held liable for medical errors that result from care delivered jointly by physicians and algorithms. In this survey study comparing views of physicians and the U.S. public, we find that the public is significantly more likely to believe that physicians should be held responsible when an error occurs during care delivered with medical AI, though the majority of both physicians and the public hold this view (66.0% vs 57.3%; P = .020). Physicians are more likely than the public to believe that vendors (43.8% vs 32.9%; P = .004) and healthcare organizations should be liable for AI-related medical errors (29.2% vs 22.6%; P = .05). Views of medical liability did not differ by clinical specialty. Among the general public, younger people are more likely to hold nearly all parties liable.},

keywords = {Telehealth and Artificial Intelligence},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {The State of Telehealth Education at US Medical Schools},

author = {Dhruv Khullar and Samyukta Mullangi and Jiani Yu and Kamilah Weems and Scott A. Shipman and Marie Caulfield and Adrien Barrios and Lisa Howley},

doi = {https://doi.org/10.1016/j.hjdsi.2021.100522},

year  = {2021},

date = {2021-02-04},

urldate = {2021-02-04},

journal = {Healthcare},

volume = {9},

issue = {2},

keywords = {Telehealth and Artificial Intelligence},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Deep Learning in Medicine—Promise, Progress, and Challenges},

author = {Fei Wang and Lawrence P. Casalino and Dhruv Khullar},

doi = {https://doi.org/10.1001/jamainternmed.2018.7117},

year  = {2019},

date = {2019-03-01},

urldate = {2019-03-01},

journal = {JAMA Internal Medicine},

volume = {179},

issue = {3},

pages = {293-294},

keywords = {Telehealth and Artificial Intelligence},

pubstate = {published},

tppubtype = {article}

}