Pushing selected information to clinicians, as opposed to the traditional method of clinicians pulling information from an electronic medical record, has the potential to improve care. A digital notification platform was designed by clinicians and implemented in a tertiary hospital to flag dysglycaemia. There were 112 patients included in the study, and the post-implementation group demonstrated lower rates of dysglycaemia (2.5% vs 1.1%, P = 0.038). These findings raise considerations for information delivery methods for multiple domains in contemporary healthcare.
Background: High-risk pregnancies, characterized by underlying health issues or unusual circumstances, pose increased risks to both maternal and neonatal health during pregnancy and childbirth. Global guidelines emphasize the importance of early identification, monitoring, and intervention to mitigate these risks.
Method: We decided to design and implement a telemonitoring system for remotely monitoring and managing pregnancies in women with conditions such as hypertension, diabetes, or high-risk pregnancy.
Background: Perioperative messengers as tools for hospitals to communicate with patients' loved ones during surgery have been described in form of pagers, SMS, email, and apps. The approach of combining multiple means of communication to create a secure and reliable messenger promises several advantages and has not been investigated to date.
Objective: The aim was to develop and test the technical feasibility and acceptance of a remote hybrid SMS/web-based perioperative messenger that keeps patients' loved ones informed around the time of surgery.
Background: The proportion of very old adults in the population is increasing, representing a significant challenge. Due to their vulnerability, there is a higher frequency of unplanned hospitalizations in this population, leading to adverse events. Digital tools based on artificial intelligence (AI) can help to identify early signs of vulnerability and unfavorable health events and can contribute to earlier and optimized management.
Author Affiliations: Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Ms Briggs); Departments of Global Health and Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Dr Guthrie); Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Dr Elder); Department of Health Systems and Population Health (Ms Revere), Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Ms Molino); Office of Innovation and Technology, Washington State Department of Health, Tumwater, Washington (Mss West and Higgins);Office of Innovation and Technology, Washington State Department of Health, Tumwater and Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, Washington (Dr Karras); and Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Dr Baseman).
Context: Digital exposure notification (EN) systems were widely used to supplement public health case investigations and contact tracing during the 2019 coronavirus disease (COVID-19) pandemic. In Washington State, the state Department of Health (DOH) implemented one such system, WA Notify, which generated ENs based on smartphone Bluetooth proximity detection. However, the privacy preserving measures of this technology prevented collection of information on how users responded after seeing an EN on their device.
