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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

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Documentation•documentation / technical•Evidence Blockchain: Building Trust in Research

Evidence Blockchain: Building Trust in Research

Evidence Blockchain: Building Trust in Research

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.

Introduction to Evidence Blockchain

The Evidence Blockchain system is a core component of the CareFrame platform that creates an immutable and verifiable record of your research journey. By recording each hypothesis, piece of evidence, and validation step on a secure blockchain, you create a transparent and auditable research trail.

Key Features

Immutable Research Record

Once evidence is recorded on the blockchain, it cannot be altered or deleted, ensuring the integrity of your research timeline and findings.

Cryptographic Verification

Each piece of evidence is cryptographically signed and timestamped, providing proof of when claims were made and by whom.

Distributed Consensus

Multiple validators can independently verify evidence entries, creating a distributed consensus about the validity of research findings.

Technical Implementation

The Evidence Blockchain is built using a Proof-of-Authority consensus mechanism optimized for research validation. This approach ensures:

  1. Efficiency - Validation occurs quickly without computational waste
  2. Accountability - All validators are known entities with verifiable credentials
  3. Scalability - The system can handle thousands of evidence entries per research project

Security Model

Security Note: All evidence is encrypted and access-controlled while maintaining the ability for authorized validators to verify claims without compromising data privacy.

Data Protection

  • End-to-end encryption of sensitive research data
  • Granular access controls for team members
  • Privacy-preserving validation protocols

Regulatory Compliance

The Evidence Blockchain was designed with regulatory compliance in mind:

  • HIPAA-compliant for healthcare research
  • GDPR-ready for European research teams
  • 21 CFR Part 11 compliance for FDA-regulated studies

Getting Started

To begin using the Evidence Blockchain in your research:

  1. Navigate to the Research Project dashboard
  2. Select "Initialize Evidence Chain" from the project tools
  3. Define your hypothesis structures and evidence types
  4. Invite validators from your team or external collaborators
  5. Begin recording evidence linked to your hypotheses

For detailed implementation examples, see our Technical Documentation.

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