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Last Posted: Aug 03, 2022
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Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis
R Lathan et al, NPJ Digital Medicine, August 3, 2022

Summary sensitivity and specificity was 87.8% (95% CI, 68.4–96.1) and 96.8% (95% CI 93.5–98.4) respectively. The overall surgical site infection (SSI) rate was 5.6%. Photograph methods had lower sensitivity and specificity at 63.9% (95% CI 30.4–87.8) and 92.6% (95% CI, 89.9–94.5). Telemedicine is highly specific for SSI diagnosis is highly specific, giving rise to great potential for utilisation excluding SSI.

Potential reduction in healthcare carbon footprint by autonomous artificial intelligence
RM WOlf et al, NPJ Digital Medicine, May 12, 2022

Healthcare is a large contributor to greenhouse gas (GHG) emissions around the world, given current power generation mix. Telemedicine, with its reduced travel for providers and patients, has been proposed to reduce emissions. Artificial intelligence (AI), and especially autonomous AI, where the medical decision is made without human oversight, has the potential to further reduce healthcare GHG emissions, but concerns have also been expressed about GHG emissions from digital technology, and AI training and inference. In a real-world example, we compared the marginal GHG contribution of an encounter performed by an autonomous AI to that of an in-person specialist encounter. Results show that an 80% reduction may be achievable, and we conclude that autonomous AI has the potential to reduce healthcare GHG emissions.

Comparative Effectiveness of an Automated Text Messaging Service for Monitoring COVID-19 at Home
MK Delgado et al, Ann Int Med, November 16, 2021

A total of 3488 patients enrolled in COVID Watch and 4377 usual care control participants were compared with propensity score weighted models. At 30 days, COVID Watch patients had an odds ratio for death of 0.32 (95% CI, 0.12 to 0.72), with 1.8 fewer deaths per 1000 patients (CI, 0.5 to 3.1) (P = 0.005); at 60 days, the difference was 2.5 fewer deaths per 1000 patients (CI, 0.9 to 4.0) (P = 0.002). Patients in COVID Watch had more telemedicine encounters, ED visits, and hospitalizations and presented to the ED sooner (mean, 1.9 days sooner [CI, 0.9 to 2.9 days]; all P < 0.001).

Association of Patient Characteristics With Delivery of Ophthalmic Telemedicine During the COVID-19 Pandemic.
Aziz Kanza et al. JAMA ophthalmology 2021 9

In this cross-sectional study of 1911 patients from a single academic ophthalmology practice, patients who were men, self-identified as Black, did not speak English, had an educational level of high school or less, and were of older age were less likely to receive telemedical care compared with in-person care. These results suggest that disparities in the delivery of ophthalmic telemedical care existed during the COVID-19 pandemic and support prioritizing health equity in future telemedicine programs.

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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

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