For Healthtech
Unstructured, inconsistent clinical data slows down every healthtech team. Nimblemind transforms messy, multimodal data into structured, reliable datasets so you can focus on building the products that matter.
Manual data preparation slows development
Teams spend significant time extracting and structuring clinical data before it can be used in products.
Data is inconsistent across sources and formats
Clinical data varies widely across systems, making it difficult to standardize and use reliably.
Engineering effort is spent on data infrastructure
Teams must build and maintain pipelines instead of focusing on core product development.
New data is difficult to continuously integrate
Ongoing ingestion requires repeated cleaning and restructuring, creating bottlenecks over time.
Our Solution
Nimblemind structures clinical data into consistent, reusable datasets that power healthtech applications.
1
Extract clinical information
Capture key clinical concepts, events, and attributes from unstructured data sources.
3
Continuously process data
Structure newly ingested data in real time for immediate downstream use.
Accelerate product development cycles
Move faster from data ingestion to deployable features and models.
Focus on building core product value
Shift engineering effort away from data wrangling toward product innovation.
Nimblemind enables structured tumor characterization from clinical records
Oncology data is spread across clinical notes, pathology reports, and radiology findings, where key tumor attributes are inconsistently documented and difficult to aggregate.
Nimblemind identifies and consolidates critical information, such as tumor type, staging, receptor status, and diagnostic scores, into structured outputs, enabling consistent characterization across patients.
Reduce manual effort in oncology data abstraction
Accelerate tumor characterization and dataset creation
Standardize key clinical features across patients and documents
Nimblemind ingests and structures the diverse clinical data formats healthtech teams rely on to build, train, and scale their products.
Modality
Examples
Endoscopy and Colonoscopy
Procedure videos, image captures, scoring annotations
Stool Test Data
Occult blood, microbiome panels, stool consistency logs
Diet and Nutrition Logs
Elimination diets, food journals, nutrition screening
Genomic Data (where applicable)
IBD risk markers, pharmacogenomic profiles
EMR and Clinical Notes
Diagnoses, vitals, discharge summaries, medications
Lab Results
Diagnoses, vitals, discharge summaries, medications
Pathology Reports
Biopsy results, histology findings
Patient-Reported Outcomes
Abdominal pain, bloating, bowel frequency, fatigue
Medication Data
Immunosuppressants, biologics, anti-inflammatory regimens
