EHR notes, imaging, lab results, genomic sequences, and trial data reside in silos—making it difficult to surface real‑time insights for clinicians, researchers, and regulators.
Time-consuming manual processes slowing critical healthcare decisions
Excessive paperwork reducing time available for patient care
Delayed data processing affecting clinical trial outcomes and safety
Regulatory requirements creating barriers to AI implementation
Generate concise SOAP summaries from verbose EHR notes; flag medication changes and follow‑ups.
Blend vitals, labs, and device data to predict sepsis, readmission, or trial dropout risk—updated hourly.
Extract procedure codes or protocol outcomes; auto‑populate payer forms or clinical study reports.
Retrieve variant annotations, literature, and clinical guidelines; suggest actionability tiers.
Monitor patient messages & trial logs for adverse events; alert safety teams in real time.
Translate natural language protocols into instrument commands; capture results back into Delta.
LakeFlow Connect streams HL7/FHIR, sequencing reads, and device feeds into encrypted Delta tables with PHI tags.
Supervisor routes to Text‑to‑SQL, RAG, and predictive agents; enforces PHI/GxP redaction guardrails.
Clinician or scientist feedback fine‑tunes prompts; observability dashboards track accuracy, bias, & drift.
Assess PHI, HIPAA, and GxP flows; design secure Lakehouse zones and validation plans.
Custom prompts for medical/biopharma terminology, ICD‑10, MedDRA extraction, and scientific reasoning.
Compare Med‑tuned LLMs (MedPalm, BioGPT, DBRX‑Med) across accuracy and hallucination metrics.
Automated audit logs, CSV files, validation reports, and BAA/GxP paperwork.
Embed agents into Epic/Cerner, LIMS, or trial management; change‑management workshops.
Latency, accuracy, cost, and PHI leakage KPIs—PagerDuty hooks for SLO breaches.
Book a consultation to cut documentation time, speed trials, and improve patient outcomes—without compromising compliance.
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