Team augmentation for a US healthcare SaaS platform
Senior engineering capacity added during a period of rapid feature expansion, working within Modsen AI-augmented delivery model.
Modsen IT‑specialists
retention rate
average request-to-start time
IT-service type
IT staff augmentation
Business vertical
Healthcare/SaaS
Cooperation period
2024 – till now
Dedicated team size
6 IT-specialists *
* Peak team size at the time of case study publication
Partner
A US-based SaaS company providing patient-engagement and care-coordination tools to clinics and provider networks, scaling its product roadmap.
Partner’s challenges
- A feature backlog growing faster than in-house hiring could keep pace with, putting release timelines at risk.
- A need for specialists in areas the existing team didn't fully cover: HIPAA-compliant data handling and healthcare system integrations (HL7/FHIR, EHR connectors).
- Pressure to keep shipping while the platform scaled to handle a growing volume of protected health information (PHI).
- Limited internal recruiting bandwidth to vet and onboard engineers with healthcare experience quickly.
Process of selecting required IT-specialists
Specialist selection
(3 days)
Engineers with experience in HIPAA-compliant development and healthcare integrations, matched against the partner's specific stack.
Candidate review
(2 days)
Verification of resumes and background; candidates move forward only with the approval of Modsen CTO.
Technical interview
(2 days)
Assessment of technical expertise and problem-solving approach.
Final interview
(1 day)
Evaluation of communication style and fit with the partner's product and engineering culture.
Project start
Rapid onboarding of approved Modsen specialists into existing sprints.
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Engagement timeline
Engagement timeline
Feature development by Modsen IT-specialists
- Building and extending HL7/FHIR integrations to connect the SaaS platform with partner EHR systems
- Strengthening PHI handling and access controls to support HIPAA compliance as the platform scaled
- Improving platform performance for provider networks processing high volumes of patient data
- Supporting the partner's existing release cadence and delivering new features without disrupting ongoing operations
Dedicated team size | 6 IT-specialists |
Delivered expertise | Python, React, PostgreSQL, HL7/FHIR, AWS |
Development methodology | Agile (Scrum): sprint planning aligned to the partner's cadence, daily stand-ups, joint sprint reviews |
Retention rate | 100% throughout the cooperation period |
Average request‑to‑start time | 2 weeks from request to specialist joining the project |
Strategic business value |
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