Smart People


Smart People Technology is dedicated to enhancing healthcare data exchange, integration, and analysis through innovative platforms and solutions. Their mission is to improve health outcomes globally by providing seamless, secure, and interoperable health data systems. They focus on real-world data, predictive analytics, AI, and machine learning to transform clinical trials and observational studies into smarter, decentralized, and real-world trials. Their vision is to contribute to social welfare by enabling easy access to predictive care and integrating personal electronic health records with advanced analytics.

Industries

health-care
health-diagnostics
information-technology-dbca
software

Nr. of Employees

small (1-50)

Smart People

Buenos Aires, Distrito Federal, Argentina, South America


Products

Personal Electronic Health Record (PEHR) platform

A patient-centered platform that centralizes multiple-source medical records into a single personal EHR to enable interoperability, patient control of records, and downstream analytics for trials and care.

Smart Data Lake / Data Fabric platform

A centralized data lake and data fabric offering for health organizations that stores raw and structured data, provides virtualization, APIs and microservices for analytics and machine learning.

Predictive analytics platform

Platform capabilities to run predictive models on aggregated RWD to identify risk, optimize trial design decisions and generate actionable RWE.


Services

Predictive analytics diagnostics (AI/ML model development)

Builds machine learning and NLP models with academic and scientific partners to support predictive care, identify signals in RWD, and optimize clinical trial protocols.

Systems integration for healthcare data sources

Integration services connecting third-party software, EMR systems, eCOA, labs, sequencing providers, imaging institutions, devices, wearables, telehealth and home healthcare systems into a unified data platform.

Expertise Areas

  • Decentralized clinical trial execution and operations
  • Real-world data (RWD) aggregation and real-world evidence (RWE) generation
  • Healthcare data integration and interoperability
  • Cloud-native data architectures (data lake / data fabric)
  • Show More (3)

Key Technologies

  • HL7 FHIR read/write APIs
  • DICOM
  • Data lake / data fabric
  • APIs and microservices
  • Show More (6)

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