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Digitization of Medical Records

Scanning and Digitization of 42.5 million pages of Medical Records resulted in vacating 10000 sq ft of valuable space occupied for 12 years and reduced document storage cost by 90%
Customer Profile

This client is a super-speciality 1700 bed hospital equipped with state of the art healthcare facilities and provides round the clock services. It employs 1000+ doctors and medical administrators, handles 10500 outpatient visits, and 120 admissions/discharges each day. 23 departments function cohesively to run this massive operation, each supported by modern healthcare equipment and IT infrastructure, and the large database managed by a Hospital Information Management System (HIMS).

Problem Statement

Since its inception, all the medical record files generated from various departments, admission and discharge information, and other related documents were in the physical state. This resulted in the piling of medical records for 12 years, occupying approximately 10000 square feet of valuable space as record rooms. In addition to this, the documents ran the risk of being damaged due to weathering.

Proposed Solution

The application of ultra-fast and precise scanning technologies enabled the scanning and digitizing of 1.25 million legacy medical records, some of which were in very poor condition due to weathering. To manage a scanning operation of such magnitude, Scanstream, a multi-tenancy scanning workflow manager, integrated the scanned output with i-doc, the multi-functional DMS. Scanstream applies advanced RPA mechanisms that can differentiate documents based on content. A total of 45.2 million scanned pages were uploaded to i-doc, which managed all this information from the client's private cloud server.

It helped free 10000 sq ft of physical space, which could be utilized for other purposes. The cost for maintenance of these physical records reduced by 90% and the risks of documents getting destroyed due to natural or man-made causes were eliminated. The precise quality control by Scanstream reduced errors to nil
Document Management

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