CareFrame AI

Platform 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

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

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

Research Strategy

Planning

Visual canvas for mapping research objectives and hypotheses

Research Canvas

Interactive visual workspace for research planning

Objective Management

Hierarchical organization of research objectives

Hypotheses

Create and manage testable research hypotheses

Hypothesis Generator

AI-assisted creation of research hypotheses

Hypothesis Testing

Connect hypotheses to evidence and statistical tests

Study Design

Design and plan research studies

Protocol Development

Create detailed study protocols from evidence

Session Management

Organize and manage research projects

Team Management

Manage research team members and permissions

Evidence Management

Literature Evidence

Literature Search

Find and collect relevant research papers

Paper Ranking

Sort literature by relevance to hypotheses

Evidence Extraction

Extract claims and evidence from papers

Data-Based Evidence

Data Sources

Connect to various data collection sources

Model Testing

Statistical testing of research hypotheses

Result Interpretation

Visualize and interpret statistical results

Evidence Validation

Evidence Blockchain

Secure, immutable storage of research evidence

Validator Management

Team-based validation of research evidence

Proof Authority

Cryptographic verification of evidence provenance

Data Management

Data Cleaning

Tools for preparing and cleaning research data

Data Reshaping

Transform data structures for analysis

Data Filtering

Select relevant subsets of research data

Data Merging

Combine data from multiple sources

Database Management

Configure and manage research databases

Statistical Analysis

Assumption Checking

Validate statistical assumptions for tests

Advanced Analysis

Specialized statistical techniques

Subgroup Analysis

Examine effects within population subgroups

Mediation Analysis

Test for mediating relationships between variables

Sensitivity Analysis

Test robustness of findings to assumptions

Biomedical Annotation

Annotate medical terms in research documents

Study Management

Participant Management

Track study participants and data collection

Documentation

Maintain comprehensive study documentation

Network Sharing

Share evidence and protocols across institutions

CareFrame Blog

April 2025•

CareFrame Team

Introducing CareFrame: Autonomous Knowledge Systems for Healthcare

Revolutionizing healthcare research with AI-powered knowledge systems that connect clinical data to practical applications.

## Our Vision

CareFrame bridges the gap between clinical data and patient care, creating an integrated learning health system where research findings directly inform clinical decisions. Our platform revolutionizes how healthcare insights are discovered, validated, and implemented.

What We Do

We build autonomous knowledge systems that transform how medical evidence is processed and utilized. Our technology combines advanced AI with rigorous methodological standards to:

- Discover hidden patterns and connections across medical literature and clinical data - Organize evidence according to clinical relevance and methodological quality - Disseminate insights securely across institutional boundaries in real-time

Our Timeline

August 2024

Launched company page and initial vision

December 2024

Released experimental demo showcasing core technology

April 2025

Launching our full vision - a comprehensive platform for healthcare knowledge management

Why Healthcare Needs This

The path from research to practice is broken. It takes an average of 17 years for research findings to reach clinical implementation, while clinicians struggle to keep up with over 4,000 new medical publications every day.

CareFrame addresses these challenges by creating a continuous learning cycle where evidence is automatically discovered, critically evaluated, and securely shared between institutions. This transforms the historically fragmented research process into a unified workflow that dramatically accelerates the translation of evidence into practice.

Looking Forward

We're committed to building technology that serves both the scientific rigor of research and the practical needs of clinical care. Our platform will continue to evolve, incorporating feedback from researchers and clinicians to ensure we're solving real-world problems in healthcare knowledge management.

Stay tuned for more updates as we continue to develop and enhance our platform.