Results 201 to 210 of about 26,383 (257)

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

Optimizing participation in digital health studies: understanding appointment attendance. [PDF]

open access: yesJ Am Med Inform Assoc
Schnall R   +6 more
europepmc   +1 more source
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Appointment scheduling with a quantile objective

Computers and Operations Research, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiguo Cao, Mehmet Begen, Peijun Sang
exaly   +3 more sources

Optimized appointment scheduling

European Journal of Operational Research, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Benjamin Kemper   +2 more
openaire   +5 more sources

Appointment Scheduling for Multiple Servers

SSRN Electronic Journal, 2021
Appointment schedules, in essence, balance supply and demand and are often employed in settings where resources are scarce and thus a high utilization is realized (e.g., healthcare). Whereas most of the existing literature focuses on the single-server case, a framework is developed to study appointment scheduling in multiserver settings.
Alex Kuiper, Robert H. Lee
openaire   +1 more source

Practical Principles in Appointment Scheduling

Quality and Reliability Engineering International, 2015
Appointment schedules aim at achieving a proper balance between the conflicting interests of the service provider and her clients: a primary objective of the service provider is to fully utilize her available time, whereas clients want to avoid excessive waiting times.
Kuiper, A., Mandjes, M.
openaire   +4 more sources

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