Clinical Insights

Medical monitoring is essential to ensuring patient safety and proving the efficacy of treatments under study during clinical trials. The integration of patient safety and subject-level data from your EDC, ePRO, labs, and other systems is driven by the Study Data Tabulation Model (SDTM) standards from the Clinical Data Interchange Standards Consortium (CDISC).

Saama enhances your analytics capabilities for more accurate review and more informed decision-making. What's more, Saama’s revolutionary Deep Learning Intelligent Assistant (DaLIA), lets you query your data for immediate answers to thousands of common questions, without having to wait for access to subject matter experts at your company.

LSAC: Clinical Insights

  • Patient Registries
  • EDC
  • CTMS
  • EMR/EHR
  • Claims
  • eTMF
  • Safety
  • Financial
  • Resource Mgmt
  • Trial Registry
  • Site Registry
  • IRT/IVRS RTSM
  • Site Performance
  • Trial Performance
  • Operations
  • Physician
  • Patient
  • Investigation
  • Lab
  • Documents
  • Biomarker
  • Budget
  • Supply Chain

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Governance • Curation • Harmonization Orchestration • Unified Data Model • Metrics Ad-Hoc Reporting • Conversational UX

Use Cases

  1. Holistic Patient Data Review
  2. Data Review Tracking
  3. Data Reconciliation
  4. Safety & Efficacy Signal Analysis
  5. Exploratory Analysis
  6. Clinical Data Standarization

Use Cases/Value Drivers

 

Holistic Patient Data Review

Graphical patient profiles, which include multiple time-series charts in one location, provide a holistic view of every patient. Lab value averages—by cohort and visit—provide insights into subject trends.

 

Data Review Tracking

Dynamic line listings highlight new and changed data, to simplify the medical review process.

 

Data Reconciliation

When your entire medical review process is automated, you can easily highlight discrepancies, handle exceptions, and create and manage auditable tasks for items needing additional investigation.

 

Safety and Efficacy Signal Analysis

Issues related to adverse events and protocol deviations are easily identified and categorized for faster resolution.

 

Exploratory Analysis

Play “what if” with your patient data unconstrained by rigid dashboards and limited charts. Integrated AI-Powered data quires provide ad-hoc on the fly data mash-ups for unique patient data insights.

 

Clinical Data Standardization

Data from disparate sources is aggregated into a Unified Study Data Model, which makes it easy to analyze events and create and distribute meaningful reports.

Access Out-of-the-Box Features in 4 Weeks—Guaranteed.

Saama can put you on the fast track to clinical trial process innovation.