AIMC Topic: Information Technology
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A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process.
Evaluation and program planning
Aug 13, 2019
The primary goal in project portfolio management is to select and manage the optimal set of projects that contribute the maximum in business value. However, selecting Information Technology (IT) projects is a difficult task due to the complexities an...
Medication management needs information and communications technology-based approaches, including telehealth and artificial intelligence.
British journal of clinical pharmacology
Jul 25, 2019
Life expectancy is rising in most parts of the world as is the prevalence of chronic diseases. Suboptimal adherence to long-term medications is still rather the norm than the exception, although it is well known that suboptimal adherence compromises ...
Robotic dispensing improves patient safety, inventory management, and staff satisfaction in an outpatient hospital pharmacy.
Journal of evaluation in clinical practice
Aug 22, 2018
RATIONALE, AIMS AND OBJECTIVES: Implementation of robotic systems in outpatient hospital pharmacies is uncommon. Other than cost, 1 of the barriers to widespread adoption is the lack of definitive evidence that this technology actually reduces dispen...
Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial.
Journal of the American Medical Informatics Association : JAMIA
Apr 3, 2024
OBJECTIVES: We conducted an implementation planning process during the pilot phase of a pragmatic trial, which tests an intervention guided by artificial intelligence (AI) analytics sourced from noninvasive monitoring data in heart failure patients (...
The Clinician and Dataset Shift in Artificial Intelligence.
The New England journal of medicine
Jul 15, 2021
Machine Learning in Rheumatic Diseases.
Clinical reviews in allergy & immunology
Feb 1, 2021
With advances in information technology, the demand for using data science to enhance healthcare and disease management is rapidly increasing. Among these technologies, machine learning (ML) has become ubiquitous and indispensable for solving complex...
Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning.
Drug safety
Sep 1, 2019
INTRODUCTION: Adverse event (AE) under-reporting has been a recurrent issue raised during health authorities Good Clinical Practices (GCP) inspections and audits. Moreover, safety under-reporting poses a risk to patient safety and data integrity. The...
[Artificial Intelligence in Smart Health: Investigation of Theory and Practice].
Hu li za zhi The journal of nursing
Apr 1, 2019
The World Health Organization defines Smart Healthcare as "Information and Communication Technology applications in the medical and health fields, including medical care, disease management, public health monitoring, education, and research." In addi...
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