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Pieces Technology

AI assistant for clinical documentation.

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Overview

Pieces Technologies uses AI and natural language processing to extract critical patient information from electronic health records in real-time. Their platform helps care teams identify at-risk patients, predict needs, and ensure smoother transitions of care, including flagging social determinant of health needs.

✨ Key Features

  • AI-powered clinical summaries
  • Natural Language Processing (NLP) of EHR data
  • Predictive Analytics
  • SDoH Identification
  • Care Transition Planning
  • Real-time patient monitoring

🎯 Key Differentiators

  • Real-time NLP processing of both structured and unstructured EHR data
  • Focus on inpatient clinical workflows and care transitions
  • Patented AI review system for safety and accuracy

Unique Value: Unlocks critical insights buried in clinical notes to help health systems proactively manage patient care and address both clinical and social needs.

🎯 Use Cases (4)

Hospital case management Discharge planning Population health management Identifying patients with social needs

✅ Best For

  • Generating automated clinical summaries for inpatient care
  • Reducing length of stay and readmissions

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • External community resource referral management

🏆 Alternatives

Jvion Health Catalyst Innovaccer

Focuses more on surfacing SDoH needs directly from the patient record rather than managing external referrals.

💻 Platforms

Web API

🔌 Integrations

Epic Cerner Other EHRs

🛟 Support Options

  • ✓ Email Support
  • ✓ Phone Support
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ SOC 2 ✓ HIPAA ✓ BAA Available ✓ SSO ✓ SOC 2 Type 2

💰 Pricing

Contact for pricing

✓ 14-day free trial

Free tier: N/A

Visit Pieces Technology Website →