HMS + LIMS

PathLab Software vs MocDoc

MocDoc is a cloud hospital management system with a laboratory information management (LIMS) module for hospitals and clinical labs: sample management, multi-location, machine integration, results, dispatch and compliance. It lists 1,500+ customers and links to a separate pricing page instead of publishing prices.

Verdict: MocDoc makes sense when the lab sits inside a hospital that also wants billing, pharmacy and patient records from one vendor. A standalone pathology lab that mainly needs analyzers, WhatsApp reports and referrer management will find PathLab Software more focused; check MocDoc's current lab features with the vendor.

Choose PathLab Software if…

  • You run a standalone pathology lab or collection-centre network, not a hospital
  • You want published monthly prices and no annual contract
  • You want a WhatsApp doctor desk and critical-value auto-calls

Choose MocDoc if…

  • Your lab is part of a hospital that wants one HMS + LIMS vendor
  • You need hospital modules such as IP billing, pharmacy and EMR alongside the lab
  • You are already on MocDoc for the hospital side

Side by side

CapabilityPathLab SoftwareMocDoc
Signed PDF reports on WhatsApp✓Check with vendor
Analyzer interfacing (HL7/ASTM; PathLab: simulator-tested, on-site validation, bidirectional on request)✓✓
Referring-doctor desk on WhatsApp, no login✓Check with vendor
Critical-value auto-call with acknowledgement log✓—
Tamil / Hindi voice explainer with the report✓—
Test-aware repeat reminders✓Check with vendor
Home-collection app with geo-tagged proof✓Check with vendor
Audit trail and two-level validation (for NABL assessments)✓Check with vendor
ABHA capture (PathLab: capture only; ABDM linking planned)CaptureCheck with vendor
Monthly billing, no annual contract✓Check with vendor
Setup / onboarding fee₹0Quote
Entry price / month₹1,999Quote

Pricing and feature notes come from public pages as of October 2026; confirm with each vendor before deciding.

Switching from MocDoc?

We migrate your data free and run both in parallel until your team is comfortable.