Healthcare & Hospitals

Document Processing & IDP for Healthcare & Hospitals

Document Processing & IDP for healthcare & hospitals, built around the constraint that defines the sector: clinical safety and patient privacy mean nothing ships without human oversight and a complete audit trail.

Regulations in scope
5
Systems we integrate
5
Typical first release
6 weeks

What changes when it is healthcare & hospitals

Orqent Labs builds document automation for finance and claims operations, where a wrong number is not a rounding error but a payment.

In healthcare & hospitals, clinical safety and patient privacy mean nothing ships without human oversight and a complete audit trail. That single fact reshapes how document processing & idp has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is prior authorisation and insurance paperwork, usually integrated against HIS / HMIS. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. Six weeks to something running in production, not six quarters to a strategy document.

The sector constraints we design around

Defining constraint
clinical safety and patient privacy mean nothing ships without human oversight and a complete audit trail
Regulations in scope
DPDP Act 2023 · NABH standards · ABDM / ABHA interoperability · HIPAA for US-facing work · Clinical Establishments Act
Systems of record
HIS / HMIS · EMR and EHR · PACS and RIS · LIS · ABDM health records
Where we usually start
discharge summary drafting

Document Processing & IDP workloads in healthcare & hospitals

  • discharge summary drafting
  • prior authorisation and insurance paperwork
  • appointment scheduling and reminders
  • clinical coding support
  • patient triage and follow-up calls

What is included

  • Ingestion from email, scan, portal and API
  • Extraction with a confidence score on every field
  • Review queue for anything below threshold
  • Validation against your master data
  • Straight-through processing rate reporting
  • Integration with ERP and accounting systems

Questions from this sector

Is patient data safe?

We deploy inside your infrastructure or a compliant cloud region, with de-identification wherever the workload allows it and full access logging. Patient data does not leave the boundary you set.

Will clinicians accept it?

Only if it saves them time on the first day. We start with documentation burden, discharge summaries and notes, because that is the pain clinicians name first.

What accuracy do you achieve?

Field-level accuracy varies by document quality and field type. We report per-field accuracy and a straight-through processing rate, and route low-confidence extractions to review rather than guessing.

Can it handle handwriting?

Partially, and honestly it depends on the handwriting. We measure it on your actual documents and set the confidence threshold accordingly rather than claiming it is solved.

Will it integrate with our ERP?

Yes, SAP, Oracle, Tally, Zoho, NetSuite and most others, either through supported APIs or a controlled staging table.

Document Processing & IDP for healthcare & hospitals, worth a conversation?

Tell us the workload and the regulation it sits under. We will tell you what is realistic.

Or email bd@dtrasglobal.com · call +91 74118 77878