Healthcare Solutions
From standards implementation to research commercialization, we help healthcare organizations harness AI and data to improve patient outcomes.
Health Standards Implementation Consultations
Adopt OMOP CDM, FHIR R4, OpenEHR, and more with confidence
Implementing international health data standards is complex. Our team of clinicians and engineers guides your organization through every step — from vocabulary selection and schema design to data migration and validation.
Standard Selection & Gap Analysis
We assess your current data landscape and recommend the right target standard (OMOP CDM, FHIR R4, OpenEHR, CDISC, or custom) based on your use case, regulatory requirements, and downstream analytics goals.
Vocabulary Mapping at Scale
Leverage our Portiere SDK and deep clinical expertise to map your source codes (ICD-10, CPT, local codes) to standard vocabularies (SNOMED CT, LOINC, RxNorm) with AI-assisted candidate ranking and clinical SME review.
ETL Pipeline Design & Deployment
We architect and deploy production-grade ETL pipelines that transform your raw clinical data into standards-compliant datasets, with built-in quality checks, audit trails, and incremental loading.
Validation & Compliance
Comprehensive data quality frameworks, including Achilles analytics for OMOP, FHIR validation tooling, and custom rule engines to ensure your transformed data meets regulatory and research requirements.
Common Use Cases
- Hospital networks adopting OMOP CDM for observational research
- Health systems implementing FHIR R4 for interoperability mandates
- Clinical registries standardizing data for multi-site studies
- Pharmaceutical companies harmonizing real-world data sources
Custom Healthcare AI & ML Implementation
Purpose-built AI solutions for clinical and operational workflows
Off-the-shelf AI rarely fits healthcare’s unique constraints — regulatory requirements, clinical validation needs, and the critical importance of explainability. We build custom AI and ML solutions designed for your specific clinical context.
Clinical NLP & Text Mining
Extract structured information from unstructured clinical notes, pathology reports, radiology findings, and discharge summaries using fine-tuned biomedical language models.
Predictive Models for Clinical Decision Support
Develop and validate risk prediction models, readmission scorers, early warning systems, and treatment response predictors tailored to your patient population and EHR data.
Medical Imaging AI
Custom computer vision models for radiology, pathology, and dermatology — from initial proof-of-concept through regulatory-ready validation and clinical integration.
RAG Systems for Medical Knowledge
Build retrieval-augmented generation pipelines over clinical guidelines, formularies, drug databases, and institutional knowledge bases for accurate, grounded medical Q&A.
Common Use Cases
- Automating clinical documentation and coding workflows
- Building clinical decision support tools within EHR systems
- Developing AI-assisted diagnostic screening pipelines
- Creating intelligent search over medical literature and guidelines
Custom AI Agents in Healthcare
Autonomous, goal-driven AI systems for complex healthcare workflows
AI agents go beyond single-step inference — they reason, plan, and take action across multi-step workflows. We design and deploy healthcare-specific AI agents that automate complex processes while maintaining clinical oversight and safety guardrails.
Clinical Workflow Automation Agents
Agents that orchestrate end-to-end clinical workflows: patient intake processing, prior authorization, referral management, and care coordination — with human-in-the-loop checkpoints for critical decisions.
Data Pipeline Orchestration Agents
Autonomous agents that monitor data quality, trigger ETL processes, resolve mapping conflicts, and escalate anomalies — keeping your data infrastructure running reliably with minimal manual intervention.
Research & Literature Review Agents
Multi-step agents that search medical databases, synthesize evidence, extract key findings, and generate structured summaries for systematic reviews, drug safety signals, and treatment protocol updates.
Patient Communication Agents
Conversational agents for patient engagement — appointment scheduling, medication reminders, symptom triage, and health education — built with clinical safety boundaries and escalation protocols.
Common Use Cases
- Automating prior authorization workflows for payers and providers
- Building clinical trial matching and patient screening agents
- Deploying intelligent triage systems for telehealth platforms
- Creating autonomous data quality monitoring for health data warehouses
Research Commercialization Acceleration
Turn breakthrough research into production-ready healthcare solutions
Too often, breakthrough medical and dental research stays locked in academic publications. We help institutions bridge the valley of death between research and production — transforming validated findings into deployable, scalable healthcare products.
Research-to-Product Strategy
We assess your research outputs (algorithms, models, protocols, datasets) and build a commercialization roadmap — identifying target markets, regulatory pathways, technical requirements, and go-to-market strategies.
Prototype & MVP Development
Transform your research prototypes (Jupyter notebooks, MATLAB scripts, R pipelines) into production-grade software with proper engineering practices, testing, CI/CD, and deployment infrastructure.
Clinical Validation & Regulatory Preparation
Design and execute clinical validation studies, prepare regulatory submissions (FDA 510(k), CE marking, TFDA), and build the evidence packages needed for clinical adoption and market entry.
Scale & Integration
Integrate your solution into existing healthcare ecosystems — EHR integration (Epic, Cerner), PACS connectivity, HL7/FHIR interfaces, and cloud deployment with HIPAA-compliant infrastructure.
Common Use Cases
- Medical schools commercializing AI diagnostic algorithms
- Dental research groups productizing digital dentistry innovations
- University labs turning biomedical models into SaaS platforms
- Research hospitals deploying internally-developed clinical tools at scale
Why Cuspal
We are healthcare professionals turned technology innovators
Our founding team includes physicians and dentists with 6–10+ years of clinical practice. We understand your data because we've lived it.
Production-grade AI/ML pipelines, scalable data infrastructure, and open-source tooling built with modern engineering practices.
We don't just build prototypes. Every solution is designed for deployment in real clinical environments with regulatory compliance in mind.
Let's Build Something That Matters
Whether you're standardizing healthcare data, building clinical AI, or turning research into products — we're ready to help.