Implementation and Management Approach
The iCARDEA project will expose CIED data through standard interfaces to develop an intelligent platform to semi-automate the follow-up of the CIED patients with context-aware, adaptable computer interpretable clinical guideline models. EHR interoperability will be achieved by exposing legacy EHR systems through standard HL7 CDA R2 interfaces so that information about patients' medical history such as the non-cardiac conditions denoting contraindications to the proposed therapies can be obtained from the patient EHR data and used in the clinical follow-up workflow. In addition to EHRs and CIED data, the system will also consume the patient data entered via patients in order to achieve accurate decision making which takes into account user impressions and experience that may not be detected via CIEDs or embedded in EHRs. The Personal Health Record (PHR) system to be developed by iCARDEA will enable patients to access and coordinate their health information to gain the benefits of having their healthcare records and CIED data in a format easily accessible to them. The PHR system will also be used for feedback and the education of the patient. Furthermore, the computer interpretable guideline models to be developed will be adaptable, designed from re-usable building blocks to easily personalize the patient and device follow-up. Then these guideline models will be converted to executable clinical workflows which will perform the follow-up activities and automate the risk assessment via integrative models and hence support medical professionals by automatically assessing the situations and generating alarms.
Technology solution
Due to their limited processing capabilities restricted by their size, CIEDs need to be supported with software running on the data centres. Currently, the data centre processing is standalone with their custom software and proprietary interfaces. iCARDEA will expose CIED data through standard interfaces to develop an intelligent platform to semi-automate the follow-up of CIED patients with context-aware, adaptable computer interpretable clinical guideline models.
The computer interpretable guideline models to be developed will be designed from re-usable building blocks to facilitate personalization of the patient care and follow-up workflow. The CIED data will be exposed through standard interfaces based on the HL7, ISO/IEEE 11073 standards and the IHE IDCO Profile.
EHR and PHR interoperability will be achieved by exposing legacy EHR/PHR systems through standard HL7 CDA and IHE Care Management Profile interfaces so that information about patients' medical history (such as the non-cardiac conditions denoting contraindications to the proposed therapies) can be obtained from the patient EHR/PHR data and used in the clinical follow-up workflow.