Managing the Volumes of System Sensor Data across their Hospital Chain In a typical hospital setting, nurses do rounds and manually monitor patient vital signs. They may visit each bed every few hours to measure and record vital signs but the patient’s condition may decline between the time of scheduled visits. This means that caregivers often respond to problems reactively, in situations where arriving earlier may have made a huge difference in the patient’s wellbeing.
Legacy system’s large data are growing exponentially. Customer needed a mechanism to reduce the cost, discover business intelligence and discover new revenue streams
Our solution resulted in migrating the compete legacy dataset into the Hadoop ecosystem. Process engineered to migrate the data in full-dumps, as well as incrementally. Validation framework, to validate migrated data, metadata and other workloads. Reload the transformed data back to the traditional EDW for cases for specific reporting and to enable phased migration.
EMR systems ranges between 5-20 percent of duplicate patients record which increases the operational cost. Rate increases to 40% for those hospitals that have merged with other facilities.
Logi-MPI is an EMPI engine, powered by a probabilistic patient record matching algorithm. Engine is configurable and the attributes weights could be throttled based on their sensitivity. Engine was run over four of the Hospitals facilities and resulted in 27% match between the patient records across the facilities. Engine also flags probable matches that would need a stewards’ feedback.
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