Data Engineering

Building programmable data infrastructure that transforms raw clinical records into computable intelligence.

Articles

8 articles in Data Engineering

Why Healthcare Data Needs More Than Infrastructure

General-purpose data platforms provide storage and compute but not healthcare intelligence. The clinical layer — HL7 parsing, patient identity resolution, care gap detection, clinical metrics — is a build project that takes 12-18 months. THB DataCloud connects to any data source and delivers solved healthcare use cases.

11 min readMar 2, 2026

healthcare data platformhealthcare dataclinical intelligence

The Six Architecture Gaps That Break Healthcare Data Infrastructure

Most healthcare organisations have data infrastructure but not answers. HL7 parsing, single fact layers, prebuilt clinical metrics, care gap engines, versioned APIs, and standards drift — six layers that generic cloud platforms don't include and custom builds take 18 months to approximate.

11 min readMar 1, 2026

data architectureHL7FHIR

What Healthcare Organizations Actually Need From a Data Platform

Generic CDPs and CRM suites were designed for retail and SMB sales. Healthcare enterprises that deploy them end up running an 18-month engineering program before the first care gap closes. What healthcare data platforms actually require: clinical MDM, care gap logic, healthcare ELT, data sovereignty, and deployment speed.

10 min readFeb 25, 2026

healthcare data platformhealthcare datadata sovereignty

The Healthcare Data Intelligence Platform

On-prem stacks are expensive. Generic cloud platforms sell compute, not outcomes. THB DataCloud is an engineered healthcare intelligence platform — connecting to any data source, delivering solved use cases from ingestion to care gap detection to API-ready datasets, optimized for regional deployment and cost efficiency.

12 min readFeb 22, 2026

healthcare data platformdata engineeringcloud cost optimization

Entity Resolution at Scale: One Patient, Fifty Records

The same patient appears differently across EMR, lab, pharmacy, and claims systems. Probabilistic entity resolution running as a continuous process — not a one-time ETL — is the foundation every downstream metric depends on.

8 min readFeb 12, 2026

entity resolutionpatient identitydata quality

Why Healthcare Needs Columnar and Transactional Storage Side by Side

Healthcare workloads are simultaneously transactional and analytical. A hybrid storage architecture with query routing and synchronization serves both without compromising either.

8 min readFeb 8, 2026

storage architectureOLAPOLTP

The Programmable Healthcare Data Platform: Why SQL Alone Is Not Enough

Healthcare data requires transformation pipelines that go beyond query languages. A programmable healthcare data platform combines ingestion, normalization, derived intelligence, and scheduled orchestration into a single processing fabric.

9 min readFeb 5, 2026

data engineeringhealthcare data platformhealthcare data

Schema Drift in Healthcare Integrations: Detect, Adapt, Continue

EMR upgrades, vendor changes, and regulatory updates cause constant schema drift. A schema registry with fingerprinting, structural comparison, and automated adaptation keeps integrations resilient.

9 min readJan 30, 2026

schema driftintegrationsschema registry

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