A NY/CT health system's cancer program needed to see patients between chemo and radiation sessions, not only at the next visit. We built a React Native patient app, a ReactJS clinician dashboard and a SMART on FHIR data layer first, then added an AI health assistant five months later on clean, structured data.
Talk to Our TeamThe cancer program of a NY/CT health system
Patient app, clinician dashboard, AI health assistant, EHR integration, Super Admin portal
React Native, ReactJS, Java, Python, SMART on FHIR
Live for oncology workflows. AI layer added five months after launch.
Risk in oncology care builds between visits. The platform moves it into view while there is still time to act.
Patient and clinician oncology data now lives in one place, replacing five disconnected systems.
Care teams see patient status between treatment sessions, not only at scheduled visits.
Automated alerts fire when patient-reported data crosses clinical thresholds, instead of waiting for the appointment.
AI-generated pre-visit summaries pull together treatment history, symptoms and medication adherence.
The architecture was built to extend, so onboarding another facility is a configuration step, not a rebuild.
Chemo cycles, radiation sessions, multiple medications and frequent visits produce data across EHRs, wearables, pharmacy systems and scheduling tools. A missed dose or a late symptom often surfaced only at the next visit.
Clinicians switched between five systems to build one picture of a patient.
Care teams had no view of how patients were doing between treatment sessions.
Treatment schedules were tracked by hand, which left room for missed doses.
Patients crossing clinical thresholds were often identified after the fact.
Patients carried information between systems that did not talk to each other.
React Native, ReactJS, Java and Python on a cloud-native architecture, with SMART on FHIR, Apple HealthKit, Google Health Connect, speech-to-text AI and role-based access control.
Patients track chemo and radiation, manage medications and log symptoms by voice, in English or Spanish.
Clinicians see which patients need attention and walk into each appointment already briefed.
The data layer reads from and writes back to the existing EHR, so the platform adds no new data silo. A Super Admin portal handles hospital onboarding and governance.
The AI layer shipped five months after launch. By then the data foundation was clean and structured, so the assistant never had to reconcile fragmented records. Sequencing the build this way was the hardest call on the project.
We build FHIR-native care platforms that read from and write back to your EHR. Tell us where the gaps are in your program.
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