AIMC Topic: Models, Organizational

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Using Neural Networks to predict HFACS unsafe acts from the pre-conditions of unsafe acts.

Ergonomics
Human Factors Analysis and Classification System (HFACS) is based upon Reason's organizational model of human error which suggests that there is a 'one to many' mapping of condition tokens (HFACS level 2 psychological precursors) to unsafe act tokens...

U.S. Department of Defense Multiple-Parameter Biodosimetry Network.

Radiation protection dosimetry
The U.S. Department of Defense (USDOD) service members are at risk of exposure to ionizing radiation due to radiation accidents, terrorist attacks and national defense activities. The use of biodosimetry is a standard of care for the triage and treat...

Innovation technology in neurorehabilitation: introducing a hub and spoke model to avoid patient "migration" in Sicily.

Journal of health organization and management
PURPOSE: In the Italian National Health Service, hospital planning has been influenced by two aspects: patients' freedom to choose their healthcare provider and the equal distribution of centers spread throughout country. Unfortunately, while every I...

Quadruple Decision Making for Parkinson's Disease Patients: Combining Expert Opinion, Patient Preferences, Scientific Evidence, and Big Data Approaches to Reach Precision Medicine.

Journal of Parkinson's disease
Clinical decision making for Parkinson's disease patients is supported by a combination of three distinct information resources: best available scientific evidence, professional expertise, and the personal needs and preferences of patients. All three...

A Decision Fusion Framework for Treatment Recommendation Systems.

Studies in health technology and informatics
Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trai...

Fast Model Adaptation for Automated Section Classification in Electronic Medical Records.

Studies in health technology and informatics
Medical information extraction is the automatic extraction of structured information from electronic medical records, where such information can be used for improving healthcare processes and medical decision making. In this paper, we study one impor...