Certified Startup
SORICE SOLUTIONS PRIVATE LIMITED
Sector:
Healthcare
Business Model:
B2B
Industry:
Healthcare IT
Technology:
Web technologies Mobile Apps
About
Incorporation Date
Jan 11, 2019
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Ernakulam
Registered Address
32/1495-B2, 3RD FLOOR CHAKOS CHAMBERS, PIPE LINE JUNCTION PALARIVATTOM Ernakulam KL 682025 IN
Office State
Office District
Office Address
32/1495-B2, 3RD FLOOR,CHAKOS CHAMBERS, PIPE LINE JUNCTION, PALARIVATTOM, ERNAKULAM, Kerala, India, 682025
Team
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JOTHISH KUMAR NARAYANAN
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T GOMATHI ESWARI
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RAJAGOPAL M KARTHA
Built to process unlimited patient identities, the Big Data MPI is ideal for HIEs, large hospital systems, and community and nationwide interoperability initiatives. Yet its “pay only for what you use” model makes it affordable for small organizations as well.
Sector:
Healthcare
Industry:
Healthcare IT
Business Models:
B2B
Technology:
Web technologies Mobile Apps

In computing, an enterprise[-wide] master patient index is a form of customer data integration (CDI) specific to the healthcare industry. Healthcare organizations and groups use EMPI to identify, match, merge, de-duplicate, and cleanse patient records to create a master index that may be used to obtain a complete and single view of a patient. The EMPI will create a unique identifier for each patient and maintain a mapping to the identifiers used in each records' respective system.An EMPI will typically provide an application programming interface (API) for searching and querying the index to find patients and the pointers to their identifiers and records in the respective systems. It may also store some subset of the attributes for the patient so that it may be queried as an authoritative source of the "single most accurate record" or "source of truth" for the patient. Registration or other practice management applications may interact with the index when admitting new patients to have the single best record from the start, or may have the records indexed at a later time.

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