Healthcare Data Integration Hub

Real-time integration across HIS, EHR, IoT, and enterprise systems

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Records Today
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Records/sec
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Avg Latency
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Success Rate
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Data Quality
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Active Pipelines

Real-time Data Pipeline Architecture

Source Systems
Sanitas
TrakCare
IoT Hub
EHR/PACS
SAP ERP
Vendors
Ingestion
Apache Kafka
Azure Event Hub
HL7 FHIR Listener
Processing
Transform
Validate
Entity Resolution
Unified Model
Assets
Maintenance
Utilization
Healthcare Integration Protocols
HL7 FHIR R4
RESTful API for Patient, Device, Procedure, Observation resources
HL7 v2.x ADT/ORM
Legacy messaging for admissions, orders, results
DICOM
Medical imaging standard for PACS integration
MQTT/AMQP
IoT device telemetry and real-time streaming

Healthcare Interoperability Expertise

FHIR Resources Supported
Patient Device Procedure Observation Encounter Location Organization ServiceRequest
HIS/EMR Systems Experience
  • InterSystems TrakCare & HealthShare
  • Epic MyChart & Hyperspace
  • Oracle Cerner Millennium
  • MEDITECH Expanse
  • Allscripts Professional EHR
  • Custom HMIS (Sanitas, eHospital)
Compliance & Security
  • HIPAA compliant data handling
  • DPDP Act (India) adherence
  • NABH digital health standards
  • ABDM/NDHM integration ready
  • End-to-end TLS 1.3 encryption
  • PHI tokenization & masking

Entity Field Mappings

Detailed field-level mappings showing how data flows from source systems to the unified data model.

Data Quality Dimensions

Data Quality Issues

Overall Quality Score

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Score

Resolution Stats

Live Integration Events

Streaming
Time System Event Records Status

Active Integration Challenges

3
Critical
7
Warnings
24
Resolved Today

Healthcare-Specific Data Challenges We Handle

Real integration issues that require deep healthcare domain expertise to detect and resolve:

HL7/FHIR Message Handling
OBR Segment Missing Ordering Provider
TrakCare ORU^R01 messages from Radiology missing OBR-16 (Ordering Provider)
Auto-fix
Resolution: Lookup from PV1-7 (Attending Doctor) or SCH segment
FHIR Device Resource Missing UDI
30% of Device resources lack udiCarrier for FDA-regulated equipment
Manual
Action: Cross-reference with Sanitas asset serial for UDI lookup
HL7 v2.3 vs v2.5 Field Mismatch
Legacy LIS sending v2.3 OBX with numeric observation IDs instead of LOINC
Resolved
Resolution: Custom mapping table for legacy codes → LOINC
Medical Equipment Data Issues
Duplicate Asset Across Hospitals
Ventilator transferred from Gurugram to Mulund exists in both Sanitas instances
In Progress
Action: Serial number dedup + transfer date validation
ECRI/GMDN Code Mismatch
CT Scanner classified as "Imaging" in Sanitas but "Diagnostic Radiology" in TrakCare
Critical
Action: Apply GMDN-to-internal taxonomy mapping layer
Warranty Date Format Inconsistency
Vendor portal sends MM/DD/YYYY, Sanitas uses DD-MMM-YYYY
Resolved
Resolution: Intelligent date parser with locale detection
IoT & Telemetry Challenges
Phantom Device Readings
MRI reporting 45°C room temp (sensor malfunction vs actual overheat?)
Critical
Action: Cross-validate with room sensor + historical baseline + rate of change
Time Zone Drift in IoT Gateway
Chennai devices reporting IST, but gateway converting to UTC incorrectly (+5:00 instead of +5:30)
Auto-fix
Resolution: Device location-based TZ correction layer
Orphaned Device Telemetry
IoT device ID not matching any asset in Sanitas (new equipment not registered)
Resolved
Resolution: Queue to "pending assets" + alert biomedical team
Maintenance & Vendor Data Issues
AMC vs CMC Contract Confusion
Siemens service ticket flagged as "out of warranty" but CMC contract active in ERP
Critical
Action: Real-time contract status lookup before vendor escalation
PPM Schedule Overlap
Vendor scheduled PM conflicts with high-utilization OT slot from TrakCare
Auto-fix
Resolution: Auto-reschedule PM to next available low-util window
Spare Part Code Translation
GE uses internal part codes, Sanitas expects manufacturer codes
Resolved
Resolution: OEM part code crosswalk table maintained per vendor

AI-Powered Resolution Engine

Machine learning models trained on healthcare data patterns to auto-detect and resolve common integration issues:

Patient Matching
99.4%
Accuracy using MPI algorithm with phonetic matching for Indian names
Asset Deduplication
98.7%
Serial + location + fuzzy model name matching
Anomaly Detection
96.2%
Sensor malfunction vs actual readings using historical baselines
Code Translation
97.8%
ICD-10, LOINC, SNOMED, GMDN auto-mapping

Domain Expertise in Action

Why This Matters

Generic ETL tools can't understand that "CT Scanner" in one system and "Computed Tomography Unit" in another refer to the same GMDN category (10614). We maintain healthcare equipment ontology mappings.

Regulatory Awareness

We know that AERB-regulated equipment (X-ray, CT, Nuclear Medicine) requires different compliance tracking than non-radiation devices. Our integration flags regulatory category automatically.

Clinical Context

A ventilator showing "idle" at 3 AM is normal. The same reading at 3 PM in ICU is concerning. We correlate device telemetry with patient census and clinical schedules for intelligent alerting.