Correction to: Association between state payment parity policies and telehealth usage at community health centers during COVID-19.
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DOI: 10.1093/jamia/ocac174
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DOI: 10.1093/jamia/ocac174
Natural hazards (NHs) associated with climate change have been increasing in frequency and intensity. These acute events impact humans both directly and through their effects on social and environmental determinants of health. Rather than relying on a fully reactive incident response disposition, it is crucial to ramp up preparedness initiatives for worsening case scenarios. In this perspective, we review the landscape of NH effects for human health and explore the [...]
Author(s): Phuong, Jimmy, Riches, Naomi O, Calzoni, Luca, Datta, Gora, Duran, Deborah, Lin, Asiyah Yu, Singh, Ramesh P, Solomonides, Anthony E, Whysel, Noreen Y, Kavuluru, Ramakanth
DOI: 10.1093/jamia/ocac162
Healthcare organizations are increasing social determinants of health (SDH) screening and documentation in the electronic health record (EHR). Physicians may use SDH data for medical decision-making and to provide referrals to social care resources. Physicians must be aware of these data to use them, however, and little is known about physicians' awareness of EHR-based SDH documentation or documentation capabilities. We therefore leveraged national physician survey data to measure level of [...]
Author(s): Iott, Bradley E, Pantell, Matthew S, Adler-Milstein, Julia, Gottlieb, Laura M
DOI: 10.1093/jamia/ocac154
Monkeypox virus was historically rare outside of West and Central Africa until the current 2022 global outbreak, which has required clinicians to be alert to identify individuals with possible monkeypox, institute isolation, and take appropriate next steps in evaluation and management. Clinical decision support systems (CDSS), which have been shown to improve adherence to clinical guidelines, can support frontline clinicians in applying the most current evaluation and management guidance in [...]
Author(s): Albin, John S, Lazarus, Jacob E, Hysell, Kristen M, Rubins, David M, Germaine, Lindsay, Dugdale, Caitlin M, Heller, Howard M, Hohmann, Elizabeth L, Baugh, Joshua J, Shenoy, Erica S
DOI: 10.1093/jamia/ocac151
People who experience marginalization, including Black, Indigenous, People of Color (BIPOC) and Lesbian, Gay, Bisexual, Transgender, Queer, Plus (ie, all other marginalized genders and sexual orientations) people (LGBTQ+) experience discrimination during healthcare interactions, which negatively impacts patient-provider communication and care. Yet, scarce research examines the lived experience of unfair treatment among patients from marginalized groups to guide patient-centered tools that improve healthcare equity.
Author(s): Apodaca, Calvin, Casanova-Perez, Reggie, Bascom, Emily, Mohanraj, Deepthi, Lane, Cezanne, Vidyarthi, Drishti, Beneteau, Erin, Sabin, Janice, Pratt, Wanda, Weibel, Nadir, Hartzler, Andrea L
DOI: 10.1093/jamia/ocac142
Climate change poses a major threat to the operation of global health systems, triggering large scale health events, and disrupting normal system operation. Digital health may have a role in the management of such challenges and in greenhouse gas emission reduction. This scoping review explores recent work on digital health responses and mitigation approaches to climate change.
Author(s): Rahimi-Ardabili, Hania, Magrabi, Farah, Coiera, Enrico
DOI: 10.1093/jamia/ocac134
To explore the use of a shared communication and coordination platform-the CareVirtue journal feature-for care networks of people living with Alzheimer's disease and related dementias to inform the design of care network support technologies.
Author(s): Linden, Anna, Jolliff, Anna, Gonzalez, Deryk, Loganathar, Priya, Elliott, Christian, Zuraw, Matthew, Werner, Nicole E
DOI: 10.1093/jamia/ocac172
Concerns regarding inappropriate leakage of sensitive personal information as well as unauthorized data use are increasing with the growth of genomic data repositories. Therefore, privacy and security of genomic data have become increasingly important and need to be studied. With many proposed protection techniques, their applicability in support of biomedical research should be well understood. For this purpose, we have organized a community effort in the past 8 years through [...]
Author(s): Kuo, Tsung-Ting, Jiang, Xiaoqian, Tang, Haixu, Wang, XiaoFeng, Harmanci, Arif, Kim, Miran, Post, Kai, Bu, Diyue, Bath, Tyler, Kim, Jihoon, Liu, Weijie, Chen, Hongbo, Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocac165
Alzheimer's disease (AD) is the most common neurodegenerative disorder with one of the most complex pathogeneses, making effective and clinically actionable decision support difficult. The objective of this study was to develop a novel multimodal deep learning framework to aid medical professionals in AD diagnosis.
Author(s): Golovanevsky, Michal, Eickhoff, Carsten, Singh, Ritambhara
DOI: 10.1093/jamia/ocac168
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DOI: 10.1093/jamia/ocac171