Healthcare data management, compliance and security
Build secure healthcare data systems that integrate with clinical workflows, enabling efficient data management, revenue cycle optimization, and real-time analytics while maintaining HIPAA compliance and security measures.
What can we do
Build HIPAA-compliant healthcare data platforms with advanced security protocols
Develop seamless clinical workflow integrations that enhance efficiency
Implement regulatory compliance frameworks that adapt to evolving healthcare standards
Create powerful analytics dashboards for actionable healthcare insights
Deliver comprehensive system integration with existing healthcare infrastructure
Tech stack
Python
PostgreSQL
AWS
Node.js
Tableau
SQL
Our providers
AWS Healthcare
Tableau Healthcare Analytics
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Solution breakdown
Detailed breakdown of this
solution implementation.
Our healthcare data solution integrates secure data management, clinical workflow automation, and advanced analytics while maintaining strict regulatory compliance.
8 builders
Team size
3-4 months
MVP timeline
6-8 months
Full feature app
Recommended team size
Based on the average mobile app solutions we've built in the past.
Product manager
Data architect
Full-stack developer 3x
Security specialist
Healthcare analytics expert
Product designer
Solution playbook
Discovery and planning
80 hours
HIPAA and regulatory compliance assessment
Technical architecture design with security focus
Clinical workflow integration mapping
Data model and schema design
User journey mapping for healthcare providers
Security and privacy framework development
Project roadmap with compliance milestones
Initial setup and architecture
180 hours
Secure development environment configuration
HIPAA-compliant AWS infrastructure setup
PostgreSQL database implementation
Node.js backend framework configuration
Authentication system with role-based access controls
Audit logging framework implementation
Secure API gateway configuration
Data encryption implementation (at rest and in transit)
Core app development
350 hours
Secure file upload system for medical records
Document management system with version control
User management with healthcare-specific roles
Workflow management engine for clinical processes
Data validation and verification services
Audit trail and compliance reporting
Notification and alert system
Healthcare data normalization services
API development for third-party integrations
Advanced features (Optional)
320 hours
Revenue cycle management integration
Clinical data summarization engine
Real-time analytics dashboard development
Natural language processing for clinical documentation
Automated reporting for compliance requirements
ETL processes for data integration
Tableau integration for analytics visualization
Advanced search and filtering capabilities
Batch processing for historical data migration
Database optimization
180 hours
SQL stored procedure development
Database query optimization
Index strategy implementation
Database migration tooling
Performance monitoring implementation
Database backup and recovery procedures
Data archiving strategy implementation
Database security hardening
Testing and quality assurance
240 hours
HIPAA compliance verification testing
Security vulnerability assessment
Performance testing under various load conditions
User acceptance testing with healthcare professionals
Integration testing with existing clinical systems
Data integrity validation
Backup and recovery testing
Penetration testing
Automated regression testing
Cross-browser and device compatibility testing
Deployment and launch
140 hours
Staging environment deployment
Production environment configuration
Data migration planning and execution
User training materials development
Administrator documentation
Go-live support planning
Monitoring tools implementation
Alerting system configuration
Incident response procedure development
Phased rollout planning
Ongoing support and optimization
50 hours / mo.
Performance monitoring and optimization
Security patch management
Compliance updates implementation
User feedback analysis and implementation
Analytics review and insights generation
API endpoint maintenance
Database optimization and tuning
Documentation updates
Sample cost breakdown
Cost depends on the final solution complexity, but here is a breakdown of similar solutions we've built.
Category
Low range
High range
Personnel
$195,000
$250,000
Infrastructure and services (First year)
$25,000
$45,000
Additional cost (Licenses)
$20,000
$35,000
Total investment
$240,000
$330,000
A.Team experts
Meet just some of the experts that have built similar solutions before and could help you build your next product.
Tomislav Peharda
ML Engineer
10 years of experience
Tomislav has developed ML models with a focus on healthcare at companies like Morgan & Morgan, identifying similar legal matters for better case outcome prediction. His expertise in Python, Machine Learning, and NLP enables effective data extraction and analysis in regulated environments.
Richard Abrich
ML Engineer
16 years of experience
Richard has worked with Cleveland Clinic Innovations to commercialize research around diagnosis of conditions through machine learning, implementing neural networks for predictive analysis of medical data. His implementation of data architectures for evaluation and analysis has led to successful clinical applications.
Dean Dijour
Software Architect
20 years of experience
Dean has designed comprehensive healthcare systems focusing on HIPAA compliance. His project for Eastern Dental involved assessing their transition from EM 1.0 to EM 2.0, ensuring alignment with business goals and platform improvement.
Pooran Panwar
Product Manager
15 years of experience
Pooran has led multiple healthcare supply chain projects at HCA Healthcare, optimizing processes and developing product analytics frameworks that drive decision-making through data. His expertise in scaling healthcare solutions ensures projects meet both business and regulatory requirements.
Marcin Wylot
Data Architect
22 years of experience
Marcin has designed secure data architectures for healthcare and legaltech companies, developing systems for efficient document management with robust provenance tracking capabilities. His expertise in Python, Data Architecture, and Systems Architecture enables effective healthcare data integration.
Fernando Ferrer
Data Engineer
16 years of experience
Fernando has extensive experience building data pipelines and architectures for healthcare platforms. His work with Sweeten involved managing complex data-intensive projects, aggregating and normalizing varied datasets while ensuring security and compliance requirements were met.
Darius Krisiunas
Product Designer
20 years of experience
Darius has designed intuitive user interfaces for healthcare applications, focusing on creating seamless experiences for medical professionals. His background in designing secure workflows ensures that complex healthcare processes are made accessible while maintaining compliance with regulatory requirements.
Nick Kammerdiener
DevOps Engineer
7 years of experience
Nick specializes in building secure, compliant cloud infrastructure for healthcare applications. His experience at HCA Healthcare includes implementing CI/CD pipelines and managing secure cloud environments that meet stringent healthcare regulatory requirements while maintaining high availability and performance.
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