Client
Bicycle Health
Project Scope and Technology
Backend services for medication and test kit dispatch, Automated delivery tracking and logistics workflows, Secure EHR system integration, AI/ML-based urine sample (Immunoassay) analysis, Cloud-native infrastructure on GCP (Golang)
Team Composition
1 x Backend Engineer, 1 x Machine Learning Engineer
Country
USA
Industry
Healthcare
Work duration
16 months
Bicycle Health set out to expand access to medication-assisted treatment (MAT) for individuals managing opioid dependence through a fully online care model. As the platform scaled nationally, it required robust backend systems capable of coordinating medication fulfillment, diagnostic testing, and clinical data flow with high reliability and compliance. The objective was to ensure patients received timely care while clinicians maintained full visibility into treatment progress.The solution focused on automating critical operational workflows while maintaining strict healthcare data standards. By centralizing medication dispatch, test kit logistics, and clinical integrations, Bicycle Health enabled consistent, remote treatment experiences at scale. The resulting platform reduced operational friction, improved turnaround times, and supported clinicians in delivering effective, continuous care without geographical constraints.
Coordinating medication and diagnostic kit delivery across a distributed patient base introduced complexity around logistics, tracking, and fault tolerance. Urine sample analysis required integrating AI/ML models capable of supporting Immunoassay testing with accuracy suitable for clinical review. Ensuring seamless interoperability with EHR systems demanded adherence to healthcare data standards, privacy regulations, and secure data exchange protocols. Additionally, all workflows needed to operate reliably under increasing patient volume while minimizing manual intervention from clinical and operations teams. Balancing automation with clinical accuracy and compliance required careful system design and extensive validation.
The engagement began with mapping end-to-end treatment workflows, from prescription fulfillment to diagnostic result reporting. Backend services were developed in Golang to manage medication and test kit dispatch, incorporating automated tracking and status updates throughout the delivery lifecycle. AI/ML pipelines were integrated to analyze urine samples and surface results efficiently for clinical teams. Secure EHR integrations were implemented to synchronize patient records, test outcomes, and treatment data in real time. Deployed on Google Cloud Platform, the system was designed for scalability, resilience, and compliance, ensuring consistent performance as patient demand grew.
Bicycle Health achieved a scalable and reliable telehealth infrastructure supporting nationwide medication-assisted treatment delivery. Automation reduced manual coordination, AI-supported diagnostics improved review efficiency, and EHR integrations ensured continuity of care. The platform now enables consistent, compliant treatment experiences while allowing clinical teams to focus on patient outcomes rather than operational overhead.
Hire the best Golang developers to create high-performance web apps, microservices, and backends that build a strong foundation for your business growth.
Client
Bicycle Health
Project Scope and Technology
Backend services for medication and test kit dispatch, Automated delivery tracking and logistics workflows, Secure EHR system integration, AI/ML-based urine sample (Immunoassay) analysis, Cloud-native infrastructure on GCP (Golang)
Team Composition
1 x Backend Engineer, 1 x Machine Learning Engineer
Country
USA
Industry
Healthcare
Work duration
16 months
Bicycle Health set out to expand access to medication-assisted treatment (MAT) for individuals managing opioid dependence through a fully online care model. As the platform scaled nationally, it required robust backend systems capable of coordinating medication fulfillment, diagnostic testing, and clinical data flow with high reliability and compliance. The objective was to ensure patients received timely care while clinicians maintained full visibility into treatment progress.The solution focused on automating critical operational workflows while maintaining strict healthcare data standards. By centralizing medication dispatch, test kit logistics, and clinical integrations, Bicycle Health enabled consistent, remote treatment experiences at scale. The resulting platform reduced operational friction, improved turnaround times, and supported clinicians in delivering effective, continuous care without geographical constraints.
Coordinating medication and diagnostic kit delivery across a distributed patient base introduced complexity around logistics, tracking, and fault tolerance. Urine sample analysis required integrating AI/ML models capable of supporting Immunoassay testing with accuracy suitable for clinical review. Ensuring seamless interoperability with EHR systems demanded adherence to healthcare data standards, privacy regulations, and secure data exchange protocols. Additionally, all workflows needed to operate reliably under increasing patient volume while minimizing manual intervention from clinical and operations teams. Balancing automation with clinical accuracy and compliance required careful system design and extensive validation.
The engagement began with mapping end-to-end treatment workflows, from prescription fulfillment to diagnostic result reporting. Backend services were developed in Golang to manage medication and test kit dispatch, incorporating automated tracking and status updates throughout the delivery lifecycle. AI/ML pipelines were integrated to analyze urine samples and surface results efficiently for clinical teams. Secure EHR integrations were implemented to synchronize patient records, test outcomes, and treatment data in real time. Deployed on Google Cloud Platform, the system was designed for scalability, resilience, and compliance, ensuring consistent performance as patient demand grew.
Bicycle Health achieved a scalable and reliable telehealth infrastructure supporting nationwide medication-assisted treatment delivery. Automation reduced manual coordination, AI-supported diagnostics improved review efficiency, and EHR integrations ensured continuity of care. The platform now enables consistent, compliant treatment experiences while allowing clinical teams to focus on patient outcomes rather than operational overhead.
Hire the best Golang developers to create high-performance web apps, microservices, and backends that build a strong foundation for your business growth.
We’ll respond within one business day. Connect to plan a solution that advances your product and business.
USA: +1 - 210 972 5958
India: +91 - 977 676 7574
USA - 2219 Main Street, Santa Monica, CA 90405
India - Block C, ATS BOUQUET, C 401, Block B, Sector 132, Noida, Uttar Pradesh 201304
We’ll respond within one business day. Connect to plan a solution that advances your product and business.
USA: +1 - 210 972 5958
India: +91 - 977 676 7574
USA - 2219 Main Street, Santa Monica, CA 90405
India - Block C, ATS BOUQUET, C 401, Block B, Sector 132, Noida, Uttar Pradesh 201304
