Healthcare and pharma organisations face the most complex data challenges in any industry — siloed EHR systems, strict HIPAA compliance requirements, and life-critical decisions that depend on accurate, real-time data. Decision Foundry unifies your clinical, claims, and operational data into a compliant, AI-ready intelligence platform.
The Core Problem
Healthcare organisations are drowning in disconnected data — EHR records, claims, lab results, trial data, operational metrics. But the real risk isn't data overload. It's disconnected insights affecting care quality, cost efficiency, compliance, and every budget's ROI.
Why unified patient data is the foundation for healthcare AI
Data siloed across EHRs, claims, labs, and pharmacy systems — no single patient view
Inconsistent data quality means clinical decisions are made on incomplete information
Patient journey is invisible — care gaps go undetected until outcomes deteriorate
Manual chart abstraction and data reconciliation burns clinical staff hours
HIPAA compliance is managed manually — audit readiness is a scramble every quarter
Automated regulatory reporting doesn't exist — submissions are error-prone and slow
PHI sprawl across systems creates untracked exposure risk and liability
AI/ML adoption is blocked by governance gaps — no audit trail, no lineage, no trust
What We Deliver
From HIPAA-compliant data infrastructure through to clinical AI and pharma operations — every solution is designed for the regulatory and clinical realities of healthcare.
Build a HIPAA & GDPR-compliant data foundation — from encrypted ingestion and role-based access to audit-ready lineage across every clinical and operational data source.
Map the complete patient experience — from first contact through treatment outcomes — unifying clinical, claims, and engagement data into actionable journey insights.
Accelerate clinical trials, streamline pharmacovigilance, and unify multi-market supply chain data — from site selection to post-market surveillance.
Automate the reporting burden — from FDA submissions and GDPR audits to internal quality metrics — with governed data pipelines that are always audit-ready.
AI Built to Comply
AI in healthcare must be explainable, auditable, and compliant. Every model and agent we build is designed with governance, PHI safety, and regulatory traceability from day one.
Learn more about real-time patient monitoring and care gap detection here.
AI models that identify at-risk patients before adverse events occur — using clinical history, lab data, social determinants, and real-time vitals to power proactive care.
Continuously monitor adverse event signals across clinical trials, post-market data, and patient communities — with automated triage, classification, and regulatory alert generation.
A natural-language analytics agent that lets clinical and operational teams ask questions in plain English — pulling governed insights from unified healthcare data without SQL.
Healthcare Tech Stack
Purpose-built for the regulatory and security demands of healthcare data and AI workloads.
Snowflake
Databricks
Tableau / Power BI
Salesforce Health Cloud
Also supports: Epic, Cerner, All FHIR integrations, 21 clinical data pipelines, AWS HealthLake, Azure Health Data Services, and over 50 EHR connectors
How We Engage
We understand healthcare's unique procurement requirements. Our engagement models are designed to move fast while meeting your governance standards.
Ideal for: Teams needing clarity on compliance posture
A 2-week deep-dive into your healthcare data ecosystem — HIPAA/GDPR compliance gaps, PHI exposure risks, data lineage blind spots, and reporting bottlenecks — with a prioritised remediation plan.
Ideal for: Organisations ready to modernise healthcare data
A full healthcare data platform — from compliant ingestion and EHR integration through to patient analytics, regulatory dashboards, and AI-ready data products — delivered in 8–14 weeks.
Ideal for: Teams wanting ongoing expert analytics support
We embed as your healthcare analytics Centre of Excellence — ongoing platform management, compliance monitoring, AI model operations, and a dedicated analytics partner on call.
Case Study
A Fortune 500 pharmaceutical company had clinical and operational data scattered across 14 regional markets in 90 days — consolidating everything into a single, compliant analytics platform. Regulatory reporting that once took weeks was automated to run daily, and decision-making speed improved across the organisation.
90
Days to unified platform
14
Markets consolidated
70%
Faster regulatory reporting
Markets unified in 90 days
Compliant · Governed · AI-Ready
Proven Results
1000+
Projects
600+
Customers
20+
Years of Enterprise Expertise
4.5
Customer Satisfaction Score
Connected Services
Healthcare intelligence doesn't exist in isolation. These foundational services underpin every compliant analytics and AI solution we deliver.
Build the governed, compliant data foundation that every healthcare analytics stack depends on — from ingestion pipelines to semantic layers.
Data EngineeringBuild scalable lakehouse architectures, ML pipelines, and AI-powered analytics on Databricks — purpose-built for healthcare data volumes.
Databricks ServicesTransform raw healthcare data into governed, interactive dashboards that drive clinical and operational decision-making across your organisation.
Data DashboardingCommon Questions
Six workstreams. (1) Compliant data infrastructure — HIPAA-aligned data platforms on Snowflake / Databricks. (2) Patient journey analytics — from awareness through outcomes. (3) Pharma operations & trial analytics. (4) Regulatory reporting & compliance automation. (5) Predictive patient outcomes ML. (6) Adverse event AI monitoring. Cross-stack credentials across Salesforce Health Cloud, MCI, Tableau, Snowflake, and Databricks.
HIPAA-aligned data infrastructure is foundational, not bolt-on. We design with PHI segmentation, role-based access, audit logging, data residency rules, and BAA-covered service providers from day one. Most of our healthcare work runs on Snowflake / Databricks / Salesforce Health Cloud — all of which have HIPAA-eligible service tiers when configured correctly. We don't deploy non-compliant infrastructure and retrofit later.
Our healthcare practice spans all three, with the deepest concentration in pharma operations and provider-side patient journey analytics. We also serve life sciences (clinical trials, regulatory submissions, commercial analytics) and digital health (member engagement, app analytics, virtual care). The work shape differs significantly across these segments; we tailor accordingly.
A focused healthcare engagement (one workload — e.g., patient journey dashboards or adverse event monitoring) typically runs 3–5 months. Enterprise programs (HIPAA-compliant data platform from scratch + multiple analytics workstreams) run 6–12 months. Regulatory validation cycles add time vs other industries — we plan for them upfront.
Yes. Common patterns: extracting from Epic Caboodle or Cerner Health Data Intelligence into Snowflake / Databricks for analytics; integrating Veeva with Salesforce Health Cloud + MCI for HCP engagement analytics; pulling from Komodo / IQVIA / IMS claims data. Most enterprise healthcare clients have 5–15 source systems by the time we engage; integration design is a major workstream.
Healthcare is one of our deepest industry verticals — global pharma brands, provider networks, payers, and digital health companies. HIPAA-aligned by design across the stack. Multiple Salesforce Marketing Champions and certified Health Cloud / Snowflake / Databricks consultants. Industry-specific accelerators for patient journey, trial analytics, and HCP engagement.