Outcomes That Speak for Themselves
— See Our Results
Results From Real Engagements
From enterprise AI governance to national biomedical device rollouts, our work is measured in outcomes rather than deliverables. Every case study covers the situation our client faced, the approach our practitioners took, and the quantified results delivered across the engagement.
— Case Studies
Selected Client Outcomes
Six representative engagements across our practice areas, each demonstrating measurable impact across regulated environments:
Case Study 01
Biomedical Device Integration
Regional Health System Closes Audit Gaps Across 12,000 Connected Devices
Client: Regional Health System, Southeast US
Challenge: A multi hospital network carried more than 12,000 connected biomedical devices with no unified inventory, fragmented patch records, and Joint Commission findings flagging biomedical equipment management gaps across multiple facilities.
Approach: Our engineers deployed automated discovery, integrated the output with the existing biomed CMMS and IT CMDB, established segmentation aligned to IEC 62443 zones, and built audit ready documentation across every facility.
Outcome: 100% device discovery within 90 days, 47% reduction in device related downtime, full closure of prior Joint Commission findings, and renewed cyber insurance terms at improved rates.
Case Study 02
AI Governance & Advisory
Academic Medical Center Builds Enterprise AI Governance Program
Client: Academic Medical Center, Northeast US
Challenge: Clinical, research, and operational teams were deploying AI tools independently with no central oversight, no risk classification process, and no documented alignment with NIST AI RMF or emerging state regulation.
Approach: Our practitioners built a tiered AI governance framework, stood up an AI review committee with representation from clinical, legal, IT, and compliance, and developed model risk assessment workflows that gated new deployments without slowing legitimate work.
Outcome: 32 AI use cases inventoried and risk classified in the first quarter, governance committee operational within 60 days, and full alignment with NIST AI RMF documented for regulators and the board.
Case Study 03
Cybersecurity Services
Life Sciences Firm Passes HITRUST Certification on First Submission
Client: Life Sciences Organization, Mid Atlantic US
Challenge: A clinical research organization needed HITRUST certification to retain enterprise pharma contracts, with a six month deadline and no prior formal security program documentation.
Approach: Our cybersecurity team ran a gap assessment against HITRUST CSF v11, sequenced remediation across 156 controls, built policy documentation, hardened technical infrastructure, and supported the external assessor through validation.
Outcome: HITRUST CSF certification achieved on first submission within five months, contract retention secured with three major pharma clients, and ongoing managed security operations established post certification.
Case Study 04
Data & Analytics Engineering
National Health System Builds AI Ready Data Platform Across 14 Hospitals
Client: National Health System, Multi Region
Challenge: Clinical and operational data lived in 40+ disconnected systems across 14 hospitals, blocking enterprise analytics, AI initiatives, and regulatory reporting workflows the executive team had committed to deliver.
Approach: Our data engineers designed a cloud native data platform on AWS, built FHIR compliant ingestion pipelines from Epic and ancillary systems, established data governance under the chief data officer, and prepared the environment for downstream machine learning workloads.
Outcome: Single source of truth covering 14 hospitals operational within nine months, 60% reduction in regulatory report production time, and three AI pilots launched on the new platform within the first year.
Case Study 05
Emerging Technology Advisory
Hospital Network Deploys Edge Computing for Imaging Acceleration
Client: Hospital Network, Western US
Challenge: Imaging departments faced increasing latency moving large studies between modalities, PACS, and AI assisted reading tools, slowing radiology turnaround and frustrating referring physicians across the network.
Approach: Our advisory team evaluated edge computing platforms, designed a distributed architecture co located with imaging modalities, integrated with existing PACS infrastructure, and supported a phased rollout across five facilities.
Outcome: 65% reduction in study transfer latency, radiology report turnaround improved by 28%, AI assisted reading workflows enabled at the edge, and a reusable architecture pattern documented for future deployments.
Case Study 06
Digital Health Platform Services
Digital Health Vendor Achieves Multi EHR Interoperability at Scale
Client: Digital Health Company, National Footprint
Challenge: A growing digital health vendor needed bidirectional integration with Epic, Cerner, Meditech, and Athena across 200+ provider customers, with FHIR R4 support and security review requirements differing at every site.
Approach: Our platform team designed a centralized integration hub, built FHIR R4 connectors with fallback support for HL7 v2, established a standardized security review package for provider IT teams, and operates the platform under managed services.
Outcome: 200+ provider integrations deployed within 18 months, average integration timeline reduced from 14 weeks to 4 weeks, security review approval rate above 95%, and platform supporting more than 4 million daily transactions.
See What Outcomes Look Like for Your Organization
Talk with our team about which case studies map closest to your environment and regulatory pressures. Every engagement starts with a focused conversation about what success looks like for you.