Healthcare & Life Sciences

Compliant cost
optimization for big data

The cloud cost challenge in healthcare

The healthcare and life sciences industries are undergoing a massive digital shift, migrating electronic health
records (EHR), medical imaging (PACS), and complex genomic sequencing workloads to the cloud.

Healthcare & Life Sciences

Sensitive PHI
Data

This results in petabytes of highly sensitive Protected Health Information (PHI) that must be stored securely and retained for years due to stringent compliance laws like HIPAA and HITRUST.

Healthcare & Life Sciences

Costly Clinical
Computing

The primary financial drain for these organizations is data storage and high-performance computing (HPC) required for clinical trials and research.

Healthcare & Life Sciences

Runaway Compute Costs

Researchers often spin up massive compute clusters to run genomic simulations and forget to shut them down, leading to astonishing amounts of cloud waste.

Healthcare & Life Sciences

Manual Data
Management

Furthermore, manually managing the lifecycle of medical data across various storage tiers is tedious, error-prone, and pulls engineers away from core healthcare innovations.

SOLUTION

How does Wiv.ai optimize cloud costs for healthcare and life sciences?

Wiv.ai provides healthcare institutions and biotech firms with a compliant, automated FinOps platform designed to handle the scale and sensitivity of medical data.

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Data Management

Wiv.ai automates time-consuming healthcare cloud management through intuitive, no-code workflows. Using Wivy’s natural language interface, IT teams can set data lifecycle policies, such as automatically moving medical imaging files older than 90 days to Amazon S3 Glacier or Azure Archive.

Compute Monitoring

For life sciences, Wiv.ai actively monitors HPC clusters used in research. When a genomic sequencing job completes, Wiv.ai detects the drop in CPU utilization and automatically terminates the cluster, instantly stopping the billing meter.

Cost Reduction

This combination of intelligent storage tiering and active compute management allows healthcare providers to drastically reduce their cloud bills while maintaining full compliance.

Key Use Cases
& Automated Workflows

Automated PHI
Storage Tiering

Create compliance-ready rules to shift aging electronic health records and high-res medical images to low-cost archival storage automatically.

Research Compute
Remediation

Identify and terminate idle high-performance compute instances used for drug discovery and DNA sequencing immediately after jobs finish.

Clinical Trial Cost
Allocation

Tag and track cloud infrastructure costs down to the specific clinical trial or research department, enabling accurate grant and funding utilization reporting.

HIPAA-Compliant
Waste Removal

Safely identify and delete unattached storage volumes (EBS) and old snapshots that contain stale data, reducing risk and cost simultaneously.

FAQ

Questions, Answered

How can healthcare organizations optimize HIPAA-compliant cloud storage?

Healthcare organizations can optimize HIPAA-compliant cloud storage by automating data lifecycle policies that move aging EHRs, medical images, and other PHI to lower-cost archival tiers. Wiv.ai applies these rules automatically, reducing storage costs while maintaining compliance requirements.

How does Wiv.ai automate FinOps for biotech research clusters?

Wiv.ai’s no-code automation engine enables biotech teams to define compute lifecycle policies using natural language. When research jobs complete, idle clusters are automatically terminated, converting cloud infrastructure from a fixed cost into a usage-based operational expense.

How does Wiv.ai help reduce genomic sequencing cloud costs?

Wiv.ai provides granular visibility into IoT processing costs and automates data lifecycle rules that move historical sensor data to lower-cost storage tiers.

Optimize Healthcare Cloud Spend Safely

See how Wiv.ai optimizes cloud costs for healthcare and life sciences organizations.