2022 | Digital Health

Liu J, Capurro D, Nguyen A, Verspoor K. “Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks. Journal of biomedical informatics. 2022 Sep 1;133:104149. https://doi.org/10.1016/j.jbi.2022.104149

“Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks One unintended consequence of the Electronic Health Records (EHR) implementation is the overuse of content-importing technology, such as copy-and-paste, that creates “bloated” notes containing large amounts of textual redundancy. Despite the rising interest in applying machine learning models to learn from real-patient data, it

Ward K, Vagholkar S, Sakur F, Khatri NN, Lau AY. Visit Types in Primary Care With Telehealth Use During the COVID-19 Pandemic: Systematic Review. JMIR Medical Informatics. 2022 Nov 28;10(11):e40469. https://doi.org/10.2196/40469

Visit Types in Primary Care With Telehealth Use During the COVID-19 Pandemic: Systematic Review Background:Telehealth was rapidly incorporated into primary care during the COVID-19 pandemic. However, there is limited evidence on which primary care visits used telehealth. Objective:The objective of this study was to conduct a systematic review to assess what visit types in primary

Yin K, Coiera E, Jung J, Rohilla U, Lau AY. Consumer workarounds during the COVID-19 pandemic: analysis and technology implications using the SAMR framework. Journal of the American Medical Informatics Association. 2022 Jul 1;29(7):1244-52. https://doi.org/10.1093/jamia/ocac061

Consumer workarounds during the COVID-19 pandemic: analysis and technology implications using the SAMR framework Objective To understand the nature of health consumer self-management workarounds during the COVID-19 pandemic; to classify these workarounds using the Substitution, Augmentation, Modification, and Redefinition (SAMR) framework; and to see how digital tools had assisted these workarounds. Read More.

Coiera E, Yin K, Sharan RV, Akbar S, Vedantam S, Xiong H, Waldie J, Lau AY. Family informatics. Journal of the American Medical Informatics Association. 2022 Jul 1;29(7):1310- 5. https://doi.org/10.1093/jamia/ocac049

Family informatics While families have a central role in shaping individual choices and behaviors, healthcare largely focuses on treating individuals or supporting self-care. However, a family is also a health unit. We argue that family informatics is a necessary evolution in scope of health informatics. To deal with the needs of individuals, we must ensure technologies account

Lederman A, Lederman R, Verspoor K. Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support, Journal of the American Medical Informatics Association, Volume 29, Issue 10, October 2022, Pages 1810–1817, https://doi.org/10.1093/jamia/ocac121

Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support. Electronic medical records are increasingly used to store patient information in hospitals and other clinical settings. There has been a corresponding proliferation of clinical natural language processing (cNLP) systems aimed at using text data in these records to improve clinical

Coiera E, Liu S. Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare. Cell Reports Medicine. 2022 Dec;12. Doi: 10.1016/j.xcrm.2022.100860.

Summary: Healthcare has well-known challenges with safety, quality, and effectiveness, and many see artificial intelligence (AI) as essential to any solution. Emerging applications include the automated synthesis of best-practice research evidence including systematic reviews, which would ultimately see all clinical trial data published in a computational form for immediate synthesis. Digital scribes embed themselves in the