An overview of clinical decision support systems: benefits, risks, and strategies for success

RT Sutton, D Pincock, DC Baumgart… - NPJ digital …, 2020 - nature.com
Computerized clinical decision support systems, or CDSS, represent a paradigm shift in
healthcare today. CDSS are used to augment clinicians in their complex decision-making …

Wearables in medicine

AK Yetisen, JL Martinez‐Hurtado, B Ünal… - Advanced …, 2018 - Wiley Online Library
Wearables as medical technologies are becoming an integral part of personal analytics,
measuring physical status, recording physiological parameters, or informing schedule for …

Continuous glucose monitoring: a review of the technology and clinical use

DC Klonoff, D Ahn, A Drincic - Diabetes Research and Clinical Practice, 2017 - Elsevier
Continuous glucose monitoring (CGM) is an increasingly adopted technology for insulin-
requiring patients that provides insights into glycemic fluctuations. CGM can assist patients …

[HTML][HTML] Efficacy of personalized diabetes self-care using an electronic medical record–integrated mobile app in patients with type 2 diabetes: 6-month randomized …

EY Lee, SA Cha, JS Yun, SY Lim, JH Lee… - Journal of medical …, 2022 - jmir.org
Background A system that combines technology and web-based coaching can help treat
chronic conditions such as diabetes. However, the effectiveness of apps in mobile health …

Continuous glucose monitors and automated insulin dosing systems in the hospital consensus guideline

RJ Galindo, GE Umpierrez… - Journal of diabetes …, 2020 - journals.sagepub.com
This article is the work product of the Continuous Glucose Monitor and Automated Insulin
Dosing Systems in the Hospital Consensus Guideline Panel, which was organized by …

Patient-generated health data management and quality challenges in remote patient monitoring

R Abdolkhani, K Gray, A Borda, R DeSouza - JAMIA open, 2019 - academic.oup.com
Abstract Background Patient-Generated Health Data (PGHD) in remote monitoring programs
is a promising source of precise, personalized data, encouraged by expanding growth in the …

Digital health technology to enhance adolescent and young adult clinical preventive services: affordances and challenges

CA Wong, F Madanay, EM Ozer, SK Harris… - Journal of Adolescent …, 2020 - Elsevier
The lives of adolescents and young adults (AYAs) have become increasingly intertwined
with technology. In this sco** review, studies about digital health tools are summarized in …

Teamwork, targets, technology, and tight control in newly diagnosed type 1 diabetes: the pilot 4T study

P Prahalad, VY Ding, DP Zaharieva… - The Journal of …, 2022 - academic.oup.com
Context Youth with type 1 diabetes (T1D) do not meet glycated hemoglobin A1c (HbA1c)
targets. Objective This work aimed to assess HbA1c outcomes in children with new-onset …

[HTML][HTML] Integrating patient-generated health data into clinical care settings or clinical decision-making: lessons learned from project healthdesign

DJ Cohen, SR Keller, GR Hayes, DA Dorr… - JMIR human …, 2016 - humanfactors.jmir.org
Background: Patient-generated health data (PGHD) are health-related data created or
recorded by patients to inform their self-care and understanding about their own health …

A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses

E Reinertsen, GD Clifford - Physiological measurement, 2018 - iopscience.iop.org
Physiological, behavioral, and psychological changes associated with neuropsychiatric
illness are reflected in several related signals, including actigraphy, location, word …