Keenturtle
Keenturtle is a pioneering leader in clinical decision support software, with over 10 years of experience. Their innovative solutions help secure patient care throughout the healthcare trajectory from hospitals to territories, focusing on digital transformation, data analysis, early detection, and real-time alerts. They emphasize ethical AI, regulatory compliance, and interoperability, aiming to improve patient safety and healthcare efficiency across hospitals and regions.
Industries
Products
Medication safety clinical decision support platform
A health IT platform that aggregates clinical and pharmaceutical data, standardizes it to medical terminologies, executes a library of clinical algorithms to detect medication risks, and issues contextualized alerts to care teams across hospital and territorial settings.
Medication safety clinical decision support platform
A health IT platform that aggregates clinical and pharmaceutical data, standardizes it to medical terminologies, executes a library of clinical algorithms to detect medication risks, and issues contextualized alerts to care teams across hospital and territorial settings.
Services
Integration and deployment for hospitals and regional platforms
On-premise and multi-site integration of clinical decision support capabilities into hospital information systems and regional health data platforms, including qualification of multi-establishment deployments.
Algorithm development, validation and supervision
Design, implementation and continuous supervision of clinical algorithms for medication analysis and risk detection, including performance monitoring and iterative updates based on production usage.
Data interoperability and semantic mapping services
Implementation of semantic and syntactic normalization of healthcare data to standards for reuse across platforms (terminology mapping, data cleansing, and ingestion into analytic repositories).
Regulatory and compliance support for clinical AI
Advisory and implementation support to align health software and AI with applicable regulatory frameworks, including baseline conformity activities and human oversight implementation.
Pilot study execution and clinical evaluation
Project-based support to run clinical pilot studies, collect operational and clinical metrics (algorithm counts, alert volumes, pharmaceutical interventions, targeted adverse events), and produce outcome reports for stakeholders.
Workshops, training and stakeholder engagement
Organization and delivery of workshops and training sessions for clinical pharmacists and hospital staff to support adoption, local configuration and interpretation of clinical decision support outputs.
Integration and deployment for hospitals and regional platforms
On-premise and multi-site integration of clinical decision support capabilities into hospital information systems and regional health data platforms, including qualification of multi-establishment deployments.
Algorithm development, validation and supervision
Design, implementation and continuous supervision of clinical algorithms for medication analysis and risk detection, including performance monitoring and iterative updates based on production usage.
Data interoperability and semantic mapping services
Implementation of semantic and syntactic normalization of healthcare data to standards for reuse across platforms (terminology mapping, data cleansing, and ingestion into analytic repositories).
Regulatory and compliance support for clinical AI
Advisory and implementation support to align health software and AI with applicable regulatory frameworks, including baseline conformity activities and human oversight implementation.
Pilot study execution and clinical evaluation
Project-based support to run clinical pilot studies, collect operational and clinical metrics (algorithm counts, alert volumes, pharmaceutical interventions, targeted adverse events), and produce outcome reports for stakeholders.
Workshops, training and stakeholder engagement
Organization and delivery of workshops and training sessions for clinical pharmacists and hospital staff to support adoption, local configuration and interpretation of clinical decision support outputs.
Expertise Areas
- Clinical decision support for medication safety
- Health data interoperability and semantic normalization
- AI/ML algorithm orchestration and monitoring in clinical settings
- Population health and patient risk stratification
Key Technologies
- Clinical decision support algorithms
- FHIR (healthcare data exchange standard)
- SNOMED CT (clinical terminology)
- LOINC (laboratory and clinical observations coding)