Healthcare
The hard part of healthcare software is not the interface a doctor or patient sees; it is what happens to the data behind it — who can access a patient record, under what circumstances, with what proof afterward that access was appropriate. Get the feature set right and the data handling wrong, and the software is a liability regardless of how well it works. We scope every healthcare project starting from data protection and audit requirements, then build the clinical or administrative features on top of that foundation, not the other way round.
Patient data protection under DPDP Act, UK GDPR and HIPAA where applicable
Which regulatory framework governs a healthcare project depends entirely on where the patients are, not where the clinic or company is based. Indian healthcare data falls under the DPDP Act, with sensitive personal data — health records fall squarely in this category — subject to stricter consent and processing requirements than general personal data. UK and EU healthcare data falls under UK GDPR or EU GDPR, with special category data provisions applying specifically to health information. US-facing healthcare platforms may need HIPAA-aligned handling depending on the specific business relationship involved. We map which framework applies during discovery and design consent, storage and access control around it from the architecture stage, not as a compliance review bolted on before launch.
HL7 and FHIR interoperability
Healthcare software rarely stands alone — it needs to exchange data with existing hospital systems, lab equipment, or insurance platforms, and the established standards for that exchange are HL7 and its more modern successor, FHIR. We build interoperability using these standards where a project needs to connect with existing clinical systems, rather than a proprietary data format that works only within our own build and requires custom integration work for every future connection.
Audit trails on every record access
Beyond storing data securely, healthcare systems need to prove, after the fact, who accessed a given patient record, when, and for what stated reason — a requirement that applies whether or not an incident ever occurs, since the audit trail itself is often what a regulator or hospital compliance officer asks to see. We build access logging as a core architectural requirement from the first sprint, covering every read and write against patient data, not just administrative actions.
Offline capability for field staff
Home healthcare, ambulance services, and rural clinic networks often need to capture patient data in locations with unreliable or no connectivity. We build offline-first data capture with sync-on-reconnect logic for these cases, including how the system resolves a conflict if the same patient record was updated from two devices while both were offline — a genuine engineering problem, not a minor edge case, in any healthcare system serving field staff.
Relevant services and solutions
Most healthcare projects combine custom software development for clinic or hospital management systems, mobile app development for field staff or patient-facing apps, and in some cases machine learning development for diagnostic support tools, scoped with the same caution around accuracy claims we apply to any AI work touching a clinical decision.
Frequently asked questions
We start by checking whether access to patient records is actually logged, whether that log is genuinely immutable, and whether personal data collection matches what the application actually needs rather than accumulating "just in case." These three gaps are the most common ones we find when auditing an existing healthcare system that was not built with this framework in mind from the start, and they are usually more urgent to fix than any feature-level shortcoming.
Through encryption at rest and in transit, role-based access control limiting who can view which records, and comprehensive audit logging on every access — combined with a data model designed from the start to minimise what personal data is collected and stored, since data that is never collected cannot be exposed in a breach.
Often, yes, depending on what interoperability standards your existing system supports. We assess this during discovery using HL7 or FHIR where the existing system supports them, and will tell you directly if the existing system's integration options are limited before committing to a scope that assumes otherwise.
Yes, the underlying data protection and audit requirements apply regardless of scale, though the operational complexity differs — a multi-department hospital system needs more extensive role hierarchies than a single clinic. We scope to your actual organisational structure rather than a generic hospital template.
We map the applicable regulatory framework — DPDP Act, UK or EU GDPR, or others — based on where the patients whose data is being processed are located, not where your organisation is headquartered, and design consent and data handling around the strictest applicable standard where a platform serves patients across multiple jurisdictions.
Yes, where required, with video consultation integration, appointment scheduling, and the same audit and data protection standards applied to consultation records as to any other patient data. We scope this as part of the same discovery process covering the platform's full patient data lifecycle.
What Beacon has built in healthcare
Our healthcare work has included a diagnostics chain platform for an NCR-based client, covering patient record management, report generation and delivery, and the audit logging required for a multi-location diagnostic operation — see our case studies for detail where available. We approach every new healthcare engagement, including our first in a given sub-sector, with the same rigour around data handling regardless of whether the specific clinical workflow is one we have built before.