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Cloud Migration and Scalability Enhancement for Real-Time Precision Oncology Platform
  1. case
  2. Cloud Migration and Scalability Enhancement for Real-Time Precision Oncology Platform

Cloud Migration and Scalability Enhancement for Real-Time Precision Oncology Platform

kandasoft.com
Medical

Challenges in Scaling and Securing Complex Healthcare Data Systems

The client faces limitations with existing dedicated private cloud infrastructure, including hardware capacity constraints, escalating operational costs, and difficulties scaling on demand. They require a robust, secure, and compliant cloud environment capable of supporting real-time clinical data analysis, with full HIPAA compliance and data security, to improve decision-making in cancer care.

About the Client

A healthcare technology company specializing in precision medicine solutions for oncology, seeking to optimize data processing, security, and compliance through cloud infrastructure.

Goals for Cloud Migration and Platform Optimization

  • Develop a scalable, elastic cloud-based platform to manage increasing data volumes and workload variability.
  • Ensure full HIPAA compliance and data security through encryption at rest and in transit, and comprehensive auditing.
  • Create multiple environment setups, including development, testing, quality assurance, and support, for efficient workflow management.
  • Enable real-time analysis and reporting of complex clinical data to support evidence-based medical decisions.
  • Reduce operational costs and improve scalability compared to existing private cloud infrastructure.

Core Functionalities for Healthcare Data Platform in Cloud

  • Elastic compute resources for on-demand scalability.
  • Configurable environment setups for development, testing, and production.
  • Secure data encryption at rest and in transit.
  • Full user activity auditing and access controls.
  • Real-time clinical order processing, analysis, and standardized report generation.
  • Integration with labs, payers, and external data sources for seamless workflow.
  • Support for training environments for internal staff and external stakeholders.

Preferred Cloud Technologies and Architectural Approaches

Public cloud platform with elastic compute capabilities
Built-in security features supporting HIPAA compliance
Centralized environment management with automated release pipelines
Encryption and full auditing support

External System Integrations Needed

  • Laboratory information systems for test ordering and result retrieval
  • Insurance and payor systems for policy validation and billing
  • Clinical data repositories for evidence-based decision support

Critical Non-Functional Requirements for Platform Success

  • Scalability to support variable workload demands without degradation
  • HIPAA compliance and security standards adherence
  • High availability with minimal downtime
  • Data encryption at rest and in transit
  • Comprehensive audit logging for all user and system activity

Expected Business Benefits and Outcomes

The project aims to establish a cloud infrastructure that enhances platform scalability and security, enabling real-time clinical data analysis at scale. This will lower operational costs, improve decision-making efficiency for healthcare providers, and ensure full compliance with healthcare data regulations, ultimately supporting better patient outcomes and operational agility in a healthcare environment.

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