Semantic Interoperable EHR mapping with syndromic surveillance to anticipate regional outbreak
Every healthcare provider system maintains the e-health record (EHR) of information using the EHR systems like EPIC, Cerner, etc., The Interoperability is a coupling characteristic to exchange EHR to enable the transfer of any specific patient information to other providers for further references. EHR composed of medical record (HIS), clinical data (LIS) and medical images (PACS). HL7 standard protocols, which works in application layer is used for transferring the clinical and administrative information to the software applications used in healthcare systems. A pivotal control health information system helps the clinicians to monitor and map the interoperable EHR with any outbreak syndromes to enable the suitable preventive measures in every region. The syndromic surveillance systems mapping with i-EHR (interoperable EHR) yields the geospatial positions serves the key hint of outbreak. In this paper we define the integration of the i-EHR information exchange migration from native database to cloud databases, then we by using the map-reduce technique, the syndromic mapping with i-EHR to get the reduced rough-set of geospatial positions to find the spread factor. This in turn generates an appropriate preventive care on identified regional patient healthcare systems (PHS). We exemplify a suitable use cases for the proposed solutions in controlling the regional pandemics.