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ISO 13606 based system for biomedical parameter storage, querying and alarm detection.
Miguel Ramos Naveira1, Javier Broullón Molanes1, Dolores Rimada Mora1
1Avances en Telemedicina e Informática Sanitaria (ATIS). Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas. Universidade da Coruña (UDC). As Xubias, 15006. A Coruña, Spain.
ACHEGAMED is a real-time patient monitoring system that reduces diagnosis times for common diseases. Its component stores biomedical data using ISO 13606, enabling alarm detection and interoperable patient care.
Area of Science:
- Biomedical Engineering
- Health Informatics
- Clinical Systems
Background:
- Current healthcare systems face challenges in timely diagnosis of prevalent diseases.
- Efficient patient monitoring is crucial for reducing examination and diagnosis times.
- Interoperability standards are essential for seamless data exchange and continuity of care.
Purpose of the Study:
- To develop a component for the ACHEGAMED system for storing biomedical parameters.
- To enable real-time detection and communication of clinical alarms.
- To ensure semantic interoperability with other healthcare systems using ISO 13606.
Main Methods:
- Development of a data storage system for biomedical parameters.
- Implementation of an unsupervised, real-time patient monitoring approach.
- Utilization of the ISO 13606 standard for data representation and interoperability.
Main Results:
- A system capable of storing a wide range of biomedical parameters as ISO 13606 extracts was developed.
- The system can detect clinical alarms in real-time.
- The system facilitates semantic interoperability, supporting patient care continuity.
Conclusions:
- The developed system, a component of ACHEGAMED, enhances patient monitoring and alarm detection.
- Adherence to the ISO 13606 standard ensures semantic interoperability and facilitates integration into diverse healthcare settings.
- This technology has the potential to decrease exam and diagnosis times for prevalent diseases.
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