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FeaturesPlatform Features

Roadmap

Short Term

  • ⏱Agentic Control - AI-driven research workflow management
  • ⏱Milestone-based Planning - Enhanced project timeline tracking

Long Term

  • 🔮Federated multisite research collection
  • 🔮Evidence extraction, standardization and exchange
  • 🔮Multisite Networking - Research collaboration across institutions

Privacy: Our Central Pillar

Privacy
Complete Privacy Control

Healthcare research demands the highest standards of privacy protection. CareFrame makes privacy a central pillar of our platform, with advanced PHI/PII detection and protection built into every aspect.

  • 🔒Advanced PHI/PII detection and redaction
  • 🔒HIPAA and PHIPA compliant by design
  • 🔒Granular privacy controls for each project

Security
Secure Deployment Options

Deploy CareFrame entirely within your institutional firewall, with no external dependencies required.

  • 🛡️Run locally within your firewall
  • 🛡️Use open-source LLMs for complete data sovereignty
  • 🛡️No data ever leaves your secure environment

StrategyResearch Strategy

Planning

Planning

Visual canvas for mapping research objectives and hypotheses

Research Canvas

Research Canvas

Interactive visual workspace for research planning

Objective Management

Objective Management

Hierarchical organization of research objectives

Hypotheses

Hypotheses

Create and manage testable research hypotheses

Hypothesis Generator

Hypothesis Generator

AI-assisted creation of research hypotheses

Hypothesis Testing

Hypothesis Testing

Connect hypotheses to evidence and statistical tests

Study Design

Study Design

Design and plan research studies

Protocol Development

Protocol Development

Create detailed study protocols from evidence

Session Management

Session Management

Organize and manage research projects

Team Management

Team Management

Manage research team members and permissions

EvidenceEvidence Management

LiteratureLiterature Evidence

Literature Search

Literature Search

Find and collect relevant research papers

Paper Ranking

Paper Ranking

Sort literature by relevance to hypotheses

Evidence Extraction

Evidence Extraction

Extract claims and evidence from papers

DataData-Based Evidence

Data Sources

Data Sources

Connect to various data collection sources

Model Testing

Model Testing

Statistical testing of research hypotheses

Result Interpretation

Result Interpretation

Visualize and interpret statistical results

ValidationEvidence Validation

Evidence Blockchain

Evidence Blockchain

Secure, immutable storage of research evidence

Validator Management

Validator Management

Team-based validation of research evidence

Proof Authority

Proof Authority

Cryptographic verification of evidence provenance

DataData Management

Data Cleaning

Data Cleaning

Tools for preparing and cleaning research data

Data Reshaping

Data Reshaping

Transform data structures for analysis

Data Filtering

Data Filtering

Select relevant subsets of research data

Data Merging

Data Merging

Combine data from multiple sources

Database Management

Database Management

Configure and manage research databases

AnalysisStatistical Analysis

Assumption Checking

Assumption Checking

Validate statistical assumptions for tests

Advanced Analysis

Advanced Analysis

Specialized statistical techniques

Subgroup Analysis

Subgroup Analysis

Examine effects within population subgroups

Mediation Analysis

Mediation Analysis

Test for mediating relationships between variables

Sensitivity Analysis

Sensitivity Analysis

Test robustness of findings to assumptions

Biomedical Annotation

Biomedical Annotation

Annotate medical terms in research documents

ManagementStudy Management

Participant Management

Participant Management

Track study participants and data collection

Documentation

Documentation

Maintain comprehensive study documentation

Network Sharing

Network Sharing

Share evidence and protocols across institutions

CareFrameDocumentation
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Documentation•documentation / user guides•CareFrame for Different Research Roles

CareFrame for Different Research Roles

CareFrame for Different Research Roles

Guide Purpose: This document explains how CareFrame adapts to different research roles, highlighting the most relevant features and time-saving benefits for each user profile.

CareFrame is designed to support all members of a research team, from principal investigators to data scientists to clinical implementation specialists. By understanding your role-specific needs, you can focus on the features that provide the greatest value to your work.

Principal Investigators

Principal Investigators

Research leaders who oversee studies and coordinate team activities

Principal Investigator Dashboard

⏱️ Time-Saving Impact

  • Significant reduction in time spent coordinating research activities
  • Less time overseeing methodological decisions
  • Faster study protocol development

Key Features for PIs

Research Planning

Visually map research objectives and hypotheses to maintain strategic focus

  • Visual research canvas
  • Hierarchical objective organization
  • Research plan export for grant applications
Team Collaboration

Coordinate team activities with centralized tracking

  • Validation assignments
  • Progress dashboards
  • Team permission management
Protocol Development

Create and refine study protocols based on validated evidence

  • Protocol templates
  • Evidence linking
  • Regulatory document generation

Data Scientists

Data Scientists

Technical specialists who analyze data and develop computational models

Data Scientist Interface

⏱️ Time-Saving Impact

  • Substantial time savings when identifying relevant datasets
  • Faster validation of computational approaches
  • Reduced time documenting analytical methods

Key Features for Data Scientists

Evidence Integration

Connect datasets, analyses, and computational methods to research hypotheses

  • Method version tracking
  • Computational reproducibility
  • Data provenance documentation
Technical Documentation

Document technical approaches with simplified knowledge sharing

  • Code repository integration
  • Computational method templates
  • Automatic documentation generation

Evidence Blockchain System

Module Purpose: The Evidence Blockchain module provides a secure, transparent framework for recording research hypotheses and their supporting evidence, ensuring trust, validation, and traceability in your findings.

The Evidence Blockchain system creates an immutable record of all research decisions, methodological choices, and supporting evidence. This ensures complete traceability and auditability of your research process from hypothesis formation to conclusion.

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