What data security measures does HealthKey have for patient information?

HealthKey prioritizes secure patient data management through robust encryption protocols and compliance with healthcare data privacy regulations. It integrates securely with EHR systems, ensuring that sensitive patient information is protected while facilitating efficient identification for clinical trials, making it a trusted tool for healthcare providers.

Can HealthKey integrate with existing electronic health record (EHR) systems?

Yes, HealthKey is designed for seamless integration with various electronic health record (EHR) systems. This allows for efficient data extraction and analysis, enabling real-time patient identification and trial optimization without disrupting existing healthcare IT infrastructure, benefiting clinical research organizations and healthcare providers.

HealthKey

AI-powered patient identification for clinical trials

ReviewedSubscriptionProduct

Visit website

Compare →

Shyft Score

Directory quality rating

Reviewed

63/100

Quiet

Found in 1 source

Our take

The verdict on HealthKey

AI-generated

HealthKey uses AI to identify patients for clinical trials, improving the efficiency and accuracy of the process. Its strength lies in its ability to analyze large datasets and identify suitable patients quickly.

Strengths

Uses AI to identify patients for clinical trials
Analyzes large datasets quickly and accurately
Potential to reduce costs and increase efficiency

Limitations

May require significant investment in infrastructure and expertise
Limited information on pricing and availability
May not be suitable for small businesses

Best for: Product teams in healthcare companies focused on clinical trials.

Request a demo to evaluate HealthKey for your team.

See how HealthKey fits your stack

Benefits

Why teams choose HealthKey

Find qualified trial participants 75% faster than manual screening

Reduce patient recruitment costs by up to 60% through precise AI matching

Access real-time enrollment metrics to keep trials on schedule and budget

Eliminate data silos by connecting directly with your existing EHR systems

About

What is HealthKey?

HealthKey identifies patients for clinical trials using AI algorithms. It provides real-time data analytics, secure patient data management, and integrates with EHRs. The tool features a user-friendly dashboard for trial monitoring.

Key capabilities

AI-driven patient matching algorithms

Real-time data analytics for trial optimization

Secure patient data management

Integration with electronic health records (EHR)

User-friendly dashboard for trial monitoring

At a glance

What you can do with HealthKey

Identifying eligible patients for clinical trials

Streamlining patient recruitment processes

Improving trial enrollment rates

Enhancing data collection and management

Ensuring regulatory compliance

Best for

Clinical research organizationsPharmaceutical companiesHealthcare providers

Pricing

HealthKey pricing

HealthKey starts at $49/mo

Starting at $49/mo

Ecosystem

Connected ecosystem

MCP servers, AI skills, and integrations that work with HealthKey

MCP servers

Use HealthKey with AI agents via these MCP servers

postman-mcp-server

A simple MCP server to operate on the Postman API.

npx 212

echart

Dynamically generate ECharts chart pages with ease using this Go service.

medical mcp

Access trusted medical data locally for your AI applications without API keys.

npx 84

fhir

FHIR MCP Server – helping you expose any FHIR Server or API as a MCP Server.

pip 105

Agentic MCP Skill

Efficiently manage MCP with a progressive three-layer loading system.

npx 21

clinicaltrialsgov-mcp-server

Effortlessly access and analyze clinical trial data with the ClinicalTrials.gov MCP Server.

npx 63

Browse all MCP servers

Integrations

EpicCernerMedidataSalesforceMicrosoft TeamsSlackGoogle WorkspaceZapier

FAQs

Frequently asked questions

Common questions about HealthKey and its capabilities

HealthKey utilizes AI-driven patient matching algorithms to identify eligible candidates from electronic health records (EHRs) in real-time. This accelerates the recruitment process by precisely targeting patients who meet specific trial criteria, significantly reducing screening failures and time-to-enrollment for clinical research organizations and pharmaceutical companies.