From AI-powered clinical decision support to HIPAA-compliant patient platforms, Kalp Corporate builds healthcare technology that clinicians trust, regulators approve, and patients benefit from — without compromising on safety, privacy, or performance.
We build healthcare technology that clears regulatory hurdles, integrates with clinical systems, and earns clinician trust — because all three matter equally for real-world impact.
Discuss Your Healthcare Roadmap →Sepsis early warning systems, patient deterioration alerts, drug interaction checking, and differential diagnosis support — with explainability outputs and clinician override mechanisms that build trust and drive genuine adoption.
Computer vision for radiology, pathology slide analysis, and dermatology classification — FDA SaMD pathway-ready with demographic bias auditing and performance benchmarking against specialist radiologist baselines.
FHIR R4-compliant integrations with Epic, Cerner, Allscripts, and custom EHRs using HL7 v2/v3, SMART on FHIR OAuth, and CDS Hooks — unlocking the clinical data that powers every intelligent healthcare application.
HIPAA-compliant telehealth platforms with video consultation, secure messaging, remote patient monitoring with wearable device integration, and patient-reported outcome collection at scale with accessibility compliance.
Risk stratification models, readmission prediction, chronic disease management analytics, and care gap identification — turning claims and clinical data into proactive interventions before hospitalisation becomes necessary.
Prior authorisation automation, clinical note generation AI, medical coding, scheduling optimisation, and revenue cycle management — reclaiming the 45% of physician time currently spent on administrative work.
Healthcare AI development requires additional rigour beyond standard ML engineering. Prospective validation, bias auditing, and regulatory documentation are embedded throughout — not added at the end.
Clinical workflow analysis, data availability audit, regulatory pathway assessment for FDA or CE requirements, and IRB scoping — establishing genuine feasibility before any model development begins.
Model training on retrospective data, rigorous validation on held-out clinical cohorts, demographic bias auditing across all patient subgroups, explainability implementation, and benchmarking against clinical baselines.
HIPAA-compliant infrastructure deployment, EHR integration development, clinical UX design and workflow validation with real clinicians, security review, and regulatory documentation for applicable clearance pathways.
Phased clinical deployment, real-world performance monitoring against baseline, drift detection with clinical oversight alerts, clinician feedback loop integration, and scheduled revalidation on fresh data.
Every healthcare system we build meets the correctness, privacy, and auditability standards that clinical environments and regulators require — without exception and without shortcuts.
PHI encryption at rest and in transit, role-based minimum necessary access controls, comprehensive audit trails, BAA-ready infrastructure, and breach notification automation built as baseline requirements — not optional add-ons.
FHIR R4 server and client implementation, HL7 v2/v3 message processing, SMART on FHIR OAuth flows, CDS Hooks for real-time clinical decision support, and DICOM ingestion for medical imaging pipelines.
Clinical note de-identification, named entity recognition for conditions, medications and procedures, ICD-10 and SNOMED coding automation, and structured data extraction from unstructured clinical text at scale.
Software-as-a-Medical-Device classification guidance, FDA 510(k) and De Novo pathway documentation, ISO 13485 QMS implementation, CE marking under EU MDR, and clinical evidence package preparation.
DICOM ingestion and preprocessing, deep learning model training and serving for radiology and pathology applications, clinical annotation tooling, and ongoing performance monitoring in live deployment.
De-identified research data warehouses, real-world evidence platforms, longitudinal patient cohort analytics, and population health intelligence systems built on Snowflake and Databricks with regulatory compliance.
Every tool in our healthcare stack chosen for HIPAA suitability, clinical reliability, and regulatory track record in production healthcare environments.
Book a free 60-minute healthcare technology consultation. We will review your clinical use case, assess data readiness, and propose a regulatory-aware delivery roadmap — no obligation to proceed.
Cloud infrastructure without security architecture is a liability. We embed security into every layer — from IAM policies and network segmentation to runtime threat detection.
AI is only as good as the data feeding it. We build the pipelines, warehouses, and governance frameworks your ML models depend on for reliable, consistent performance.
Combine AI decision intelligence with RPA execution to automate entire business workflows end-to-end — from intelligent document intake all the way through to approvals and notifications.