[ Where we have built the most ]
Diagnostics, labs, clinics and home care. This is the sector we have built in most — booking platforms, LIMS, blood banks — and the discipline it demands is different from ordinary business software.
Diagnostics, labs, clinics and home care. This is the sector we have built in most — booking platforms, LIMS, blood banks — and the discipline it demands is different from ordinary business software.
Tell us what your lab or clinic runs todayWho saw what, who changed what, when and why. In healthcare an audit trail is not a feature request, it is the baseline.
A corrected report supersedes the original with a reason recorded. Replacing a released clinical result is not acceptable in any system we build.
Analysers and devices connected directly, because retyping a result is the largest single source of reporting error in a lab.
Home collection and home care happen in lifts, basements and villages. A clinical observation must never be lost to a dead signal.
Test booking with home collection, phlebotomist routing, sample tracking and report delivery — built and operated for a working pathology lab.
LIMS from accession to authorised report, analyser interfacing, QC and the records an accreditation assessment asks for.
Home care, on-demand clinicians and hospital-at-home — care plans, offline vitals capture and clinical escalation.
Not the process document — how the lab, clinic or team actually works, including the workarounds. Software that fights the real workflow gets bypassed.
NABL, licensing, consent, record retention and what an assessor will ask to see. This shapes the data model, not just the reports.
LIS, HIS, analysers, devices and any ABDM linkage. This is nearly always the largest variable in cost and timeline.
Every state change recorded with actor and timestamp, amendments versioned, and access logged — designed in rather than added for an audit.
Rejected samples, repeat runs, corrected reports, missed visits, out-of-range vitals. In healthcare these are daily events, not edge cases.
Parallel running where the risk warrants it, role-based training, and support through the first weeks — clinical teams cannot pause while software settles.
Healthcare is the sector we have built in most, and the one where the difference between adequate and correct matters most. A wrong result reaching a report, a sample that cannot be located, an amended report that quietly replaced the original — these are not defects to fix next sprint.
What that means in practice is that the audit trail, the amendment model and the integration with instruments are designed first, and the interface is arranged around them. It also means we test the unhappy paths hard, because rejections, repeats and corrections happen every day in a working lab.
Who did what and when, including corrections and the reasons for them. An assessor asks to be shown, not told.
Analyser and device interfacing removes the main source of clinical reporting error. It is the highest-value work in most of these projects.
Rejected samples, repeat runs, missed visits, out-of-range vitals. These are the normal case in healthcare, not exceptions.
Labs and clinics are being asked about linking records to a health ID. Storing structured values alongside PDFs is what makes that possible without a retrofit.
What was a premium add-on is now baseline in metros and spreading. Routing and slot capacity are core system requirements as a result.
Patients expect the report where they already are. Delivery, not just generation, is now part of what a diagnostics system must do.
Yes — this is the sector we have worked in most. We have built and run a diagnostics booking and home collection platform for a working pathology lab, along with laboratory and blood bank systems. That experience is why we ask about analyser interfaces and amendment handling in the first conversation rather than the third.
Let’s talk about your healthcare project. No obligation, just a conversation.
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