Structuring Patient Journeys for Machine Learning & Medical AI

Sprint Medical’s interoperable Patient Journey Platform captures every clinical touchpoint from first symptom to outcome, across text, images, signals, labs, audio, and video. Realtime specialist annotation converts it all into standards tagged, AI-ready data for seamless integration and predictive power.

  • Our leadership and frontline specialists bring 20+ years of direct patient care experience, grounding every data point in realworld medicine.

  • With 100+ partner clinics and hospitals, we capture diverse demographics, disease profiles, and care settings.

  • 2,000+ Licensed practicing physicians, nurses, and allied clinicians perform our data tagging, ensuring clinical accuracy and regulatory compliance from day one.

  • Active R&D collaborations with leading hospitals and tech labs let you validate models against our proprietary, realworld clinical datasets.

  • HIPAA, GDPR, DEPA, and Indian National Health regulation compliant, Sprint Medical safeguards patient data with rigorous encryption, governance, and audit controls.

  • From first symptom to outcome, we structure and annotate multimodal data text, images, signals, audio, video into standards tagged, AI-ready assets.

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Healthcare AI

A Multi Modal Platform for Clinical Data and AI Learning

Doctors and certified scribes label each visit in real time, so your data is clean and usable the moment the encounter ends
Everything in One Place from Notes, scans, ECGs, lab results, audio, and video are all stitched into a single, easy to follow timeline
We embed CPT, OMOP, ICD, SNOMED CT to LOINC, and other standards, letting our files drop smoothly into any system you already run
Validate and fine tune your algorithms on our secure, ever growing dataset before rolling them out in the real world

Training Smarter AI from Structured Signals to Outcome Feedback

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Product & Services

Clinical Data Annotation for AI

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Data Structuring & Cleaning

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Clinical Annotation Services

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Doctor notes & prescriptions

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Radiology Imaging

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ECG & Lab results etc.

Data as a Service (DaaS)

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Enterprise Subscription

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Pay per use API Access

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AI Model Validation Contracts

Data Governance and Asset Quality

Our data integrity is ensured by a Central Clinical Command Center staffed by senior physicians who oversee the annotation process
Each data point is tagged and mapped to globally recognized standards (CPT, OMOP, ICD, SNOMED CT to LOINC) and is architected for HL7/FHIR compatibility
We have embedded a dynamic consent framework within the platform compliant with HIPAA, GDPR, and national regulations (DEPA)

World’s First AI Ready Medical Dataset at Scale

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A Multi Modal Platform for Clinical Data and AI Learning

Purpose Built Patient Journey Platform (PJP)
Clinical Data Annotation at Point of Care
Multimodal Data Integration
Dual Mode Data Processing Architecture

Training Smarter AI from Structured Signals to Outcome Feedback

Specialist Referral Chain Integration

We document and annotate every inter-specialty referral such as from an ophthalmologist to a neurologist capturing the clinical reasoning behind each decision path. This allows AI models to learn from realworld diagnostic logic across disciplines.

Outcome Tracking for Feedback Loop

Our platform systematically tracks post treatment outcomes including recovery rates, relapses, and follow-up visits creating a closed-loop feedback mechanism that informs clinical effectiveness and enhances ML model refinement.

RealTime Data Structuring & Validation

A realtime backend engine processes and structures all incoming data while actively validating entries. It identifies anomalies and flags incomplete records, significantly improving dataset

Proprietary Asset Creation

Data from our clinics and partners is ingested through a secure pipeline, processed by our annotation engine, and committed to our central AI Data Lake. Approved subscribers then access this asset through a governed, API driven secure enclave.

Annotation as a Service

For enterprise and regulated clients with strict data residency or compliance mandates, our annotation pipeline can be deployed within the client’s private cloud (VPC) including AWS, Azure, or GCP. All data is processed entirely within their environment, ensuring zero data egress. Only the structured, labeled output is delivered to the client’s designated storage, maintaining full control over proprietary information.

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