AIMC Topic: Outpatient Clinics, Hospital

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Prediction of hospital no-show appointments through artificial intelligence algorithms.

Annals of Saudi medicine Dec 5, 2019
BACKGROUND: No-shows, a major issue for healthcare centers, can be quite costly and disruptive. Capacity is wasted and expensive resources are underutilized. Numerous studies have shown that reducing uncancelled missed appointments can have a tremend...
Aged Male Middle Aged Female Risk Factors Humans Artificial Intelligence Algorithms Electronic Health Records Age Factors Sex Factors Models, Statistical No-Show Patients Appointments and Schedules Outpatient Clinics, Hospital
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Factors associated with dementia in elderly.

Ciencia & saude coletiva May 18, 2018
We analyzed the factors associated with dementia in the elderly attended at a memory outpatient clinic of the University of Southern Santa Catarina (UNISUL). This is a cross-sectional study with data analysis of medical records from January 2013 to A...
Diabetes Mellitus, Type 2 Hypertension Vitamin D Depression Dementia Humans Memory Disorders Risk Factors Middle Aged Cross-Sectional Studies Female Aged Brazil Outpatient Clinics, Hospital Prevalence Aged, 80 and over Male
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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 ...
Humans Workload Workflow Appointments and Schedules Artificial Intelligence Computer Simulation Time Factors Patient Preference Efficiency, Organizational Ambulatory Care Outpatient Clinics, Hospital Markov Chains Patients
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A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure.

Clinical journal of the American Society of Nephrology : CJASN Oct 10, 2016
BACKGROUND AND OBJECTIVES: Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk fac...
Proportional Hazards Models Boston Nephrology Outpatient Clinics, Hospital Middle Aged Disease Progression Incidence Natural Language Processing Kidney Failure, Chronic Aged Adult Male Female Risk Factors Humans Retrospective Studies Electronic Health Records
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Relationship between vitamin D status and vascular complications in patients with type 2 diabetes mellitus.

Nutrition research (New York, N.Y.) Nov 17, 2015
We aimed to investigate the association between serum 25-hydroxyvitamin D (25[OH]D) and microvascular complications in type 2 diabetes mellitus (T2DM) patients. It was hypothesized that lower 25(OH)D would be associated with increased microvascular c...
Prevalence Severity of Illness Index Incidence Diabetes Mellitus, Type 2 Diabetic Retinopathy Diabetic Nephropathies Diabetic Angiopathies Cross-Sectional Studies Hospitals, University Humans Republic of Korea Outpatient Clinics, Hospital Male Risk Factors Sex Factors Female 25-Hydroxyvitamin D 2 Aged Vitamin D Deficiency Middle Aged Nutritional Status Calcifediol
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