case study

Secure Cloud Foundation for a Leading Healthcare Firm

Life Sciences Healthcare

Business Impacts

Optimized data management and actionable insights

Maximized downstream application value

Saved time and cost using pre-existing terraform templates

Customer Key Facts

  • Country : Brentwood, Tennessee, United States
  • Industry : Healthcare

Problem Context

The client, a leading US healthcare company, aims to enhance healthcare quality and value in growing regions and small towns.
Client seeked assistance in –

  1. Establishing a robust & secure centralized mechanism for their Electronic Health Record (EHR) instances and other data warehouse sources
  2. Streamline patient analytics and create opportunities for improved access to quality care while strengthening communities

Challenges

  • Lack of a scalable and secure infrastructure
  • Lack of a secure infrastructure for safeguarding PHI data
  • Needed a centralized platform for efficient operations

Technologies Used

Cloud IAM

Cloud IAM

Cloud Security Command Center

Cloud Security Command Center

Terraform

Terraform

Cloud Ops

Cloud Ops

Google Cloud Storage

Google Cloud Storage

Networking

Networking

Cloud Logging

Cloud Logging

Cloud Monitoring

Cloud Monitoring

Solution

  • Quantiphi assisted in establishing a secure GCP environment for their PHI workloads.
  • Implemented healthcare data security and privacy best practices, including configuring access controls, monitoring systems, and maintaining comprehensive audit logs. Additionally, we also deployed an HDE instance and enabled a clinical architecture that facilitated the seamless upload of FHIR data into GCS buckets.
  • The following foundational elements were configured for the client as per healthcare compliance and security requirements: Organization structure, IAM and billing setup, networking and security, logging and monitoring, and automation using Terraform.

Results

  • Secure, scalable, and robust infrastructure landing zone on Google Cloud
  • Created the centralised mechanism for their 60 inpatient EHR instances

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