What Do We Offer
Healthcare Data Warehouse Consulting with AWS
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- Healthcare DWH solution design:
- Engineering DWH specifications for healthcare
- Business case creation
- Outline of optimal AWS technologies for healthcare DWH solution
- Designing a robust healthcare data governance strategy
- Designing data warehouse architecture for healthcare solutions
- Healthcare Data Warehouse Implementation/Migration/Optimization Strategy & Plan Development
- Expert guidance for seamless healthcare Data Warehouse implementation, migration, or optimization
- Comprehensive Data Warehouse Healthcare Project Management Solution
Healthcare Data Warehouse on AWS Implementation
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- Assessing practicality of a Data Warehouse for Healthcare
- Business case creation
- Conceptualizing a Data Warehouse for Healthcare utilizing Amazon Web Services technologies
- Analyzing & designing an Architecture for a Data Warehouse System in Healthcare
- Developing Data Warehouse Solutions for Healthcare
- Ensuring DWH quality for healthcare launch
- Supporting & evolving Data Warehouse for Healthcare
Why Build a Healthcare DWH?
Healthcare Data Warehouses consolidate varied data sources, organize, and format them for efficient analysis and reporting through querying. A Data Warehouse in healthcare processes extensive data from diverse sources such as EMRs, labs, and claims systems.
The healthcare DWH becomes a solid foundation for further analytics initiatives targeted to achieve the following goals:
Data handling & unification
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- Unifying structured, semi-structured, and unstructured healthcare data for comprehensive insights
- Big data ingestion
- Data Ingestion - Real-Time Streaming
- Streamlining healthcare data via ETL/ELT methods
- Healthcare data extraction/loading – full & continuous
- Transforms diverse healthcare data complexities, encompassing data type conversions and summarizations
- Healthcare Data Query Using SQL
Data storage
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- Compact, Subject-Focused Health Data Storage System Integration
- Maintaining both contemporary and archived health information
- Metadata storage
- Data warehousing organizes information according to functional areas such as HR, accounting, or healthcare sub-departments like radiology, intensive care, and pediatrics within data marts for efficient analysis
- Secure PHI Storage Essential
Database performance
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- Elastic scaling offers storage and compute resource flexibility
- Query processing for high efficiency
- Supports Materialized Views
- Result caching
- Dynamic Management of Performance & Concurrency
Database reliability
Awaiting collapsible script rebuild.
- Infrastructure automation for deployment
- Healthcare Data Auto Backup
- Fault tolerance
Security and compliance
Awaiting collapsible script rebuild.
- Secure Encryption for Health Data (In Transit & At Rest)
- Row/Column-Level Data Access Controls
- Dynamic healthcare data masking
- Tokenizing healthcare external data for secure transfer
- Network isolation
- Compliance with healthcare regulations (HIPAA, FDA, HITECH, etc.)
Success Stories
Explore how we've helped clients build impactful mobile apps tailored to their industry needs and business goals. Use the filters to browse our case studies by industry or region to find the most relevant projects.
National Air Traffic Controllers Association Informational Portal / Knowledge Hub with Membership & Association Management Toolkit
A national organization representing air traffic controllers and aviation safety professionals. The association operates as both a labor union and a professional community, with thousands of members across different facilities. Its responsibilities include contract negotiation, policy advocacy, internal communications, training support, and membership services.
Read moreImmigration Lawyer Mobile App with Secure Client Portal & Community Network
An immigration law firm working with individuals and families across North America and Europe. The team provides legal assistance for visa applications, asylum cases, work permits, and family reunification. In addition to 1:1 legal consultations, the firm has long supported immigrant communities through education and peer initiatives.
Read moreOn-Demand Service Marketplace for Location-Based Provider Matching
A European startup launching a location-based platform for connecting individuals with local professionals — from handymen and electricians to cleaners and personal trainers. The goal was to allow customers to quickly find nearby service providers, compare availability, and book appointments directly through a map-based interface.
Read moreAmazon S3: Scalable, High-Performance Cloud Storage Service
Category
Object storage service
Features
- Efficiently manage storage of objects in Amazon S3 buckets via attached metadata tags for streamlined organization
- Offers diverse S3 storage classes tailored for specific healthcare data access tiers
- S3 Storage Lens - monitor & analyze Amazon S3 object storage
- Non-migratory analytics for streamlined healthcare data examination
- SQL Query Access through Amazon Athena and Redshift Spectrum analytic services
- Reducing latency, ensuring compliance, and securing data, S3 Replication streamlines healthcare information replication
- Amazon Macie integration secures healthcare data, identifying and safeguarding sensitive information
- Nearly 100% reliable healthcare data durability ensured
- Manage access to Amazon S3 resources using AWS Identity & Access Management (IAM), Access Control Lists (ACLs), Amazon S3 Point-to-Point Protocol (S3 PPP) for streamlined control and security
- Enforcing S3 Block Public Access to secure access for all objects within the specified bucket
- Enhance data security in healthcare by utilizing Multi-Factor Authentication (MFA) and S3 Versioning for preventing unintentional deletion, facilitating quick restoration of essential data
- Maintains robust HIPAA/HITECH compliance protocol
Pricing
S3 Standard - versatile medical data storage solution.
- 50TB/mo at $0.023/GB
- 450 TB monthly cost: $990 (0.022/GB)
- 500+ TB monthly at $0.021/GB. (storage cost)
Amazon RDS: Flexible, Managed Relational Databases
Category
Reliable relational database solution
Features
- Supports AWS Aurora, MySQL, MS SQL Server, PostgreSQL, Oracle DB, and MariaDB
- Configuring automated database provisioning, patch management, backup, and recovery solutions tailored to your selection, alongside expert suggestions for optimal database engine versions and storage strategies
- Delivers swift, reliable database performance utilizing General Purpose SSD and Provisioned IOPS SSD storage options
- Enhanced healthcare data resilience through Multi-AZ, featuring a backup copy stored off-site for improved database durability and high availability
- Seamless, efficient scaling of computational and storage resources, minimizing downtime almost to zero
- Point-in-Time Recovery (PitR) feature available
- Default key management ensures encrypted healthcare data transfer and storage (in-transit and at-rest)
- Precise Permission Management
- HIPAA-eligible
- On-demand pricing ranges from $0.016 to $24.81 per hour
- AWS RDS Reserved Instances save up to 66% vs. on-demand usage (steady state)
- Monthly data storage cost: $0.125 - $0.375 per GB
Amazon SageMaker
Category
ML Platform - Enhances Predictive Analytics
Features
- Streamlined workspace for creating, educating, and refining machine learning models: Amazon SageMaker Studio
- Leveraging diverse healthcare datasets from various sources like Amazon S3, Amazon Redshift, Amazon Athena, Amazon SageMaker Feature Store, and more, streamline data preparation and feature engineering for machine learning models using Amazon SageMaker Wrangler
- Leverages auto-labeling for constructing training datasets (Amazon SageMaker Ground Truth)
- Supports over 150 diverse machine learning models for natural language processing, image classification, and more
- Streamline ML model creation via Amazon SageMaker Autopilot, automating building, training, and tuning processes
- Supports diverse machine learning techniques: supervised, unsupervised, reinforcement
- Efficiently compatible across leading machine learning frameworks: TensorFlow, Apache MXNet, PyTorch, Chainer, and Keras
- ML Model Debugger: Streamlining Performance Issues
- Model tuning & continuous performance tracking streamline operations
- HIPAA-eligible
Pricing
- Costs for Machine Learning Compute Instance: $0.05 - $37.6885 per hour per instance, plus Storage options: GB-month pricing or Amazon Elastic File System (EFS) storage costs
- Machine Learning Compute Costs: $0.05 - $113.068/hour/instance, Storage: $0.14 per GB-month
- Real-time Inference Cost Breakdown: ML Compute Instance: $0.056 - $113.068 hourly; Storage: $0.14 per GB-month; Data Processing: $0.016/GB
- ML Compute Instance pricing: $0.121/hr to $28.152/hr
AWS Glue
Category
Data integration service
features
- On Amazon Web Services (AWS), a centralized metadata repository, or Data Catalog, manages all healthcare data assets
- Data Schema Discovery Automation for Efficient ETL Job Management
- On-demand, scheduled, and event-triggered ETL job execution through the job scheduler
- Scala/Python automation for efficient ETL processing of healthcare data: extraction, transformation, loading for optimal performance
- Establish ETL script development and testing objectives
- Stream ETL jobs for real-time handling of incoming data streams
- Streamlining healthcare data integration across diverse databases like Amazon Redshift, Amazon S3, and Amazon DynamoDB via SQL queries for seamless data access and analysis
- Leveraging machine learning, FindMatches streamlines healthcare data processing by identifying matches across singular and multiple databases, enhancing record consistency and data integrity
- HIPAA-eligible
Pricing
- ETL tasks and execution environments (charged hourly according to data processing unit consumption for ETL job execution): $0.44 per data processing unit (equivalent to 4 vCPUs and 16GB of memory), billed per second
- Free data catalog storage for the initial million objects; $1 per 100,000 objects thereafter monthly, exceeding 1 million
- Data Catalog pricing: initial 1M requests are complimentary, subsequent charges are $1 per million, monthly
Amazon Redshift
Category
Data Warehouse Service Offering
Features
- Unifies structured, semi-structured, and unstructured health data for comprehensive patient care
- Querying healthcare data from data warehouses (DWH) and data lakes (S3), along with operational databases, using SQL for structured and semi-structured information
- Scalable cloud infrastructure offers independent pricing for storage and computing resources
- Supports federated query functionality
- Columnar storage and data compression techniques for swift, efficient data retrieval in healthcare systems
- Materialized views offer caching for improved query performance
- Automated database management: handling deployment, backups, schema design, and more
- ML performance optimization for dynamic workload scenarios
- Leverages seamless native integrations within the AWS environment, encompassing services such as S3, AWS Glue, Amazon EMR, Amazon Kinesis Data Firehose, Amazon QuickSight, and more
- Enhanced security through data encryption (rest/transit) and tailored user access
- HIPAA-eligible
Pricing
- On-Demand Pricing Range: $0.25 - $13.04 per Hour
- Reserved instances provide savings of up to 57% compared to on-demand pricing
- Monthly RA3 data storage cost: $0.024 per GB
Advantages of Healthcare DWH Integrations
Proof of Concept
Tailor a proof-of-concept (PoC) for validating your healthcare data warehouse (DWH) solution, gaining insights into its capabilities and collecting authentic user feedback
Scalable, Flexible Data Warehouse for Enhanced Healthcare
A tailored Data Warehouse for Healthcare (DWH) enables rapid integration of diverse data types, such as structured, semi-structured, or unstructured, in large volumes. This facilitates dynamic responses to evolving data analytical requirements
Enhances security, safeguards health data
In our commitment to maintain the integrity of healthcare data, we utilize HIPAA-compliant environments for secure storage and processing. Technologies are handpicked and tailored to ensure continuous data encryption and dynamic data masking. Access policies are designed meticulously, and multi-factor authentication is established, among other security measures