data_entry_ops · healthcare · workflow
SafeRide Health automates driver and vehicle background verification with Nanonets OCR, reducing manual workload by 80%
SafeRide Health manually processed up to 16 different document types per driver and vehicle and manually entered the relevant data into Salesforce. As demand for their non-emergency medical transportation service grew, the process became cumbersome and unscalable.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Document import via ShareFile
All vendors securely send their documents through ShareFile, which are automatically processed by Nanonets.
Tools used
NanonetsShareFileSalesforce
Outcome
Nanonets automated the end-to-end credentialing workflow, reducing manual workload by 80% and increasing team efficiency by up to 500%, with 80% of files approved automatically without human intervention.
Results
Volume80%
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
data extractiondocument classificationidpocrid documenthuman review describedmetric backednamed customertools describedworkflow describedhealthcareautomation rateemployee productivitytime savedvendor customer storyback office opscompliance monitoringdata entry opsdocument to recordextract classify routehuman review queue