[HTML][HTML] An extensive study on Internet of Behavior (IoB) enabled Healthcare-Systems: Features, facilitators, and challenges

M Javaid, A Haleem, RP Singh, S Khan… - BenchCouncil …, 2022 - Elsevier
Abstract The Internet of Behaviour (IoB) is an effort to dissect behavioural patterns as
explained by data collection. IoB is an extension of the Internet of Things (IoT). Therefore …

New standards for clinical decision support: a survey of the state of implementation

P Taber, C Radloff, G Del Fiol, C Staes… - Yearbook of medical …, 2021 - thieme-connect.com
Objectives: To review the current state of research on designing and implementing clinical
decision support (CDS) using four current interoperability standards: Fast Healthcare …

Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care

J Wiens, K Spector-Bagdady… - Annual Review of …, 2024 - annualreviews.org
Significant progress has been made in augmenting clinical decision-making using artificial
intelligence (AI) in the context of secondary and tertiary care at large academic medical …

Usability of the IDDEAS prototype in child and adolescent mental health services: A qualitative study for clinical decision support system development

C Clausen, B Leventhal, Ø Nytrø, R Koposov… - Frontiers in …, 2023 - frontiersin.org
Introduction Child and adolescent mental health services (CAMHS) clinical decision support
system (CDSS) provides clinicians with real-time support as they assess and treat patients …

[HTML][HTML] Development, Implementation, and Evaluation Methods for Dashboards in Health Care: Scoping Review

D Helminski, JB Sussman, PN Pfeiffer… - JMIR Medical …, 2024 - medinform.jmir.org
Background: Dashboards have become ubiquitous in health care settings, but to achieve
their goals, they must be developed, implemented, and evaluated using methods that help …

HL7 Fast healthcare interoperability resources (HL7 FHIR) in digital healthcare ecosystems for chronic disease Management: Scoping review

R Gazzarata, J Almeida, L Lindsköld, G Cangioli… - International Journal of …, 2024 - Elsevier
Background The prevalence of chronic diseases has shifted the burden of disease from
incidental acute inpatient admissions to long-term coordinated care across healthcare …

What does it mean to provide decision support to a responsible and competent expert? The case of diagnostic decision support systems

A Richard, B Mayag, F Talbot, A Tsoukias… - EURO journal on …, 2020 - Springer
Decision support consists in helping a decision-maker to improve his/her decisions.
However, clients requesting decision support are often themselves experts and are often …

Graphical presentations of clinical data in a learning electronic medical record

L Calzoni, G Clermont, GF Cooper… - Applied Clinical …, 2020 - thieme-connect.com
Background Complex electronic medical records (EMRs) presenting large amounts of data
create risks of cognitive overload. We are designing a Learning EMR (LEMR) system that …

[HTML][HTML] Measuring the effects of sharing mobile health data during diabetes consultations: protocol for a mixed method study

M Bradway, A Giordanengo… - JMIR research …, 2020 - researchprotocols.org
Background: There is rising demand for health care's limited resources. Mobile health
(mHealth) could be a solution, especially for those with chronic illnesses such as diabetes …

Developing and Evaluating SEE‐Diabetes: A Patient‐Centered Educational Decision Support System for Diabetes Care

P Narindrarangkura, S Dejhansathit… - Journal of Evaluation …, 2025 - Wiley Online Library
Objectives This feasibility study evaluated the effectiveness of Support‐Engage‐Empower‐
Diabetes (SEE‐Diabetes), a patient‐centered educational tool designed to promote shared …