AIMC Topic: Ambulatory Care
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Approximate dynamic programming approaches for appointment scheduling with patient preferences.
Artificial intelligence in medicine
Feb 23, 2018
During the appointment booking process in out-patient departments, the level of patient satisfaction can be affected by whether or not their preferences can be met, including the choice of physicians and preferred time slot. In addition, because the ...
Technologically-advanced assessment of upper-limb spasticity: a pilot study.
European journal of physical and rehabilitation medicine
Sep 4, 2017
BACKGROUND: Spasticity is a muscle disorder associated with upper motor neuron syndrome occurring in neurological disorders, such as stroke, multiple sclerosis, spinal cord injury and others. It influences the patient's rehabilitation, interfering wi...
The use of natural language processing of infusion notes to identify outpatient infusions.
Pharmacoepidemiology and drug safety
Nov 17, 2014
PURPOSE: Outpatient infusions are commonly missing in Veterans Health Affairs (VHA) pharmacy dispensing data sets. Currently, Healthcare Common Procedure Coding System (HCPCS) codes are used to identify outpatient infusions, but concerns exist if the...
A scoping review of digital solutions in diabetes outpatient care: Functionalities and outcomes.
International journal of medical informatics
Oct 1, 2025
BACKGROUND: Digital interventions are increasingly used in outpatient diabetes care to address growing healthcare demands and workforce limitations. This study investigates the functionalities of digital solutions and their impact on Quadruple Aim ou...
Machine learning-assisted literature screening for a medication-use process-related systematic review.
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
May 21, 2025
PURPOSE: This article summarizes a novel methodology of applying machine learning (ML) algorithms trained with external training data to assist with article screening for 2 annual review series related to the medication-use process (MUP) generally an...
Machine learning for adverse event prediction in outpatient parenteral antimicrobial therapy: a scoping review.
The Journal of antimicrobial chemotherapy
Dec 2, 2024
OBJECTIVE: This study aimed to conduct a scoping review of machine learning (ML) techniques in outpatient parenteral antimicrobial therapy (OPAT) for predicting adverse outcomes and to evaluate their validation, implementation and potential barriers ...
Enhancing Outpatient Wound Care: Applying AI to Optimize Treatment of Patients with Diabetic Foot Syndrome - The EPWUF-KI Project.
Studies in health technology and informatics
Aug 22, 2024
Diabetes mellitus (DM) is a significant public health issue in Germany, affecting 8 million individuals, with projections suggesting a substantial increase in the following years. Diabetic Foot Syndrome (DFS), leading to mobility issues and limb ampu...
Examining the effectiveness of artificial intelligence applications in asthma and COPD outpatient support in terms of patient health and public cost: SWOT analysis.
Medicine
Jul 19, 2024
This research aimed to examine the effectiveness of artificial intelligence applications in asthma and chronic obstructive pulmonary disease (COPD) outpatient treatment support in terms of patient health and public costs. The data obtained in the res...
Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy.
Journal of the American Medical Informatics Association : JAMIA
Jan 15, 2021
OBJECTIVE: Determination of appropriate endoscopy sedation strategy is an important preprocedural consideration. To address manual workflow gaps that lead to sedation-type order errors at our institution, we designed and implemented a clinical decisi...
Technology-Enabled and Artificial Intelligence Support for Pre-Visit Planning in Ambulatory Care: Findings From an Environmental Scan.
Annals of family medicine
Jan 1, 2021
PURPOSE: Pre-visit planning (PVP) is believed to improve effectiveness, efficiency, and experience of care, yet numerous implementation barriers exist. There are opportunities for technology-enabled and artificial intelligence (AI) support to augment...
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