FASTO

FASTO provides an OWL 2 ontology for real-time management of insulin and comprehensive care of patients with type 1 diabetes, supporting semantic integration of sensor and EHR data for CDSS-enabled monitoring and treatment.

Key Features:

• Ontology Foundation: Implemented in OWL 2 for type 1 diabetes management within mobile health and clinical decision support system contexts.
• Semantic Integration: Addresses semantic interoperability between raw sensor data and electronic health record (EHR) data to enable automatic interpretation and integration of diverse data sources.
• Ontology-Driven CDSS: Supports construction of semantically intelligent CDSS that deliver personalized care plans including insulin regimens, dietary recommendations, exercise routines, and educational sub-plans.
• Real-Time Monitoring: Enables real-time monitoring via wireless body area networks with capabilities for immediate insulin dosage adjustments, carbohydrate calculations at mealtimes, and personalized exercise advice based on vital signs.
• Standard Integration: Integrates HL7 Fast Healthcare Interoperability Resources (FHIR), Semantic Sensor Network (SSN) ontology, Basic Formal Ontology (BFO) 2.0, and clinical practice guidelines.
• Knowledge Base Size: Comprises 9,577 classes, 658 object properties, 164 data properties, 460 individuals, and 140 SWRL rules.
• Data Operations: Supports collection, formalization, integration, analysis, and manipulation of patient data to support generation of comprehensive care plans.
• Portable Integration: Designed for plug-and-play integration within existing EHR ecosystems.

Scientific Applications:

• Cloud-based CDSS for Type 1 Diabetes Management: Enables development of cloud-hosted clinical decision support frameworks to enhance monitoring and treatment of type 1 diabetes mellitus.
• Remote and Rural Patient Monitoring: Facilitates efficient and accurate remote monitoring services and supports emergency response for patients in rural or resource-limited settings.

Methodology:

Developed as an OWL 2 ontology with 140 SWRL rules, FASTO was designed for plug-and-play integration with EHR ecosystems and to collect, formalize, integrate, analyze, and manipulate patient data to support creation of comprehensive care plans.