2021 | Digital Health

Liu J, Capurro D, Nguyen A, Verspoor K. Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes. NPJ Digit Med. 2021 Jul 1;4(1):103. https://doi.org/10.1038/s41746-021-00474-9

Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes As healthcare providers receive fixed amounts of reimbursement for given services under DRG (Diagnosis-Related Groups) payment, DRG codes are valuable for cost monitoring and resource allocation. However, coding is typically performed retrospectively post-discharge. We seek to predict DRGs and DRG-based case

Tortorella GL, Saurin TA, Fogliatto FS, Rosa VM, Tonetto LM, Magrabi F. Impacts of Healthcare 4.0 digital technologies on the resilience of hospitals. Technological Forecasting and Social Change. 2021;166:120666.

Healthcare 4.0 (H4.0) adapts principles and applications from the Industry 4.0 movement to healthcare, enabling real-time customization of care to patients and professionals. As such, H4.0 can potentially support resilient performance in healthcare systems, which refers to their adaptive capacity to cope with complexity. This paper explores the impact of ten H4.0 digital technologies on

Lyell D, Coiera E, Chen J, Shah P, Magrabi F. How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices. BMJ Health Care Inform. 2021 Apr;28(1):e100301. doi: 10.1136/bmjhci-2020-100301. PMID: 33853863; PMCID: PMC8054073.

Objective: To examine how and to what extent medical devices using machine learning (ML) support clinician decision making. Methods: We searched for medical devices that were (1) approved by the US Food and Drug Administration (FDA) up till February 2020; (2) intended for use by clinicians; (3) in clinical tasks or decisions and (4) used

Fernandez-Luque L, Kushniruk AW, Georgiou A, Basu J, Petersen C, Ronquillo C, Paton C, Nohr C, Kuziemsky C, Alhuwail D, Skiba D, Huesing E, Gabaron E, Borycki EM, Magrabi F, Denecke K, Topaz M, Al-Shorbaji N, Lacroix P, Cornet R, Iyengar S, Gogia SB, Kobayashi S, Deserno TM, Mettler T, Vimarlund V, Zhu X. Evidence-based health informatics as the foundation for the COVID-19 response: a joint call for action to transform hopes and hypes into realities. Methods of information in medicine. 2021;(accepted Jan 20).

Background: As a major public health crisis, the novel coronavirus disease 2019 (COVID-19) pandemic demonstrates the urgent need for safe, effective, and evidence-based implementations of digital health. The urgency stems from the frequent tendency to focus attention on seemingly high promising digital health interventions despite being poorly validated in times of crisis. Aim: In this

Albarqouni L, Moynihan R, Clark J, Scott AM, Duggan A, Del Mar C. Head of bed elevation to relieve gastroesophageal reflux symptoms: a systematic review. BMC Fam Pract. 2021 Jan 19;22(1):24. doi: 10.1186/s12875-021-01369-0. PMID: 33468060; PMCID: PMC7816499.

Background: Overuse of proton pump inhibitors (PPIs) – frequently used for relieving symptoms of gastroesophageal reflux disease (GORD) – raises long-term safety concerns, warranting evidence-based non-drug interventions. We conducted a systematic review to evaluate the effect of head-of-bed elevation on relieving symptoms of GORD in adults. Methods: We included controlled trials comparing the effect of

Yin K & AYS Lau. Field Methods for Patient Ergonomics. In Holden, R.J., & Valdez, R.S. (Eds.). (2021). The Patient Factor: Theories and Methods for Patient Ergonomics (1st ed.). CRC Press. https://doi.org/10.1201/9780429292996

Patients are increasingly encouraged to take an active role in managing their health and health care. New technologies, cultural shifts, trends in healthcare delivery, and policies have brought to the forefront the “work” patients, families, and other non-professionals perform in pursuit of health. Volume 1 provides theoretical and methodological foundation for the emerging discipline of

The Systemic Review Accelerator

How to complete a full Systematic Review in 2 weeks rather than 1 year Before every great breakthrough there’s a dream or a vision. And one of the dreams of Chief Investigator Professor Paul Glasziou was to undertake systematic reviews in 2-weeks. Why, you might ask? Traditionally, systematic reviews have taken, on average, 67 weeks

Yin K, Lau, AYS. [invited book chapter] Field Methods for Patient Ergonomics: Interviews, Focus Groups, Surveys, and Observations. The Patient Factor: Theories and Methods for Patient Ergonomics. May 12, 2021, CRC Press

Patients are increasingly encouraged to take an active role in managing their health and healthcare. New technologies, cultural shifts, trends in healthcare delivery, and policies have brought to the forefront the “”work”” patients, families, and other non-professionals perform in pursuit of health. This volume provides a theoretical and methodological foundation for the emerging discipline of