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Description
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Use cases
EHR integrations
Client types
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Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
Cohort Selection
Cohort Selection

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TriNetX Connect
TriNetX Connect

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Categories

Solutions

Description

Product Description:

With AI-generated clinical events, your team can easily track patients' entire journeys. Then, human abstractors can validate, correct, or fill gaps in data.

INTRODUCING MENDEL | Decoding the World’s Unstructured Patient Data

Our mission is to enable healthcare organizations to learn from the journey of every patient—at scale. We make this possible through a proprietary end-to-end AI platform, meticulously quality-controlled by a world-class team of trained clinical experts.

SCALE | Machine-Scale Abstraction

Clinical language is intricate and patient records often contain discrepancies that require human expertise to decode. For example, fatigue can either be a symptom or a side effect, and a pathology report indicating Stage 4 may conflict with a doctor's note indicating a different stage."

Mendel's core is a novel proprietary AI technology, capable of understanding a vast and ever-increasing range of clinical contexts and attributes at human expert level and machine scale.

QUALITY | Super-Human Quality

Navigating complex clinical attributes, such as outcomes and mortality, is daunting for both humans and machines. Our cutting-edge AI platform pre-indexes complex factors and provides confidence scores, making it easy for trained clinical teams to make decisions.

The resulting accuracy transcends a manual or an automated approach.

REDACTION | Expert-Grade Redaction

Sharing PHI-free medical records at scale is core to the mission of unlocking learnings from every patient journey. These records are full of edge cases that confuse traditional inclusion/exclusion technologies.

Our ability to understand clinical content and support a multi-system approach means we redact PHI at an expert grade level and enable clinical research without compromising patient privacy.

OPTIMIZE | Optimize across multiple factors

We help you navigate the four challenges of structuring unstructured data. Mendel ensures machine scale and analytics ready quality, while keeping cost per patient and turnaround time at a minimum.

About Mendel.ai:
Mendel.ai automates matching cancer patients to clinical trials through personal medical history and genetic analysis. Mendel finds the latest treatment for your cancer using Artificial Intelligence and Genetics.
Product Description:

Healthcare organizations can share their de-identified patient data to participate in your clinical study, right on our platform. Our live regional networks attribute each de-identified patient in trial cohorts back to your home healthcare organization. Research teams there can then re-identify that patient to present the opportunity your study represents. An intuitive, bulletin-board style exchange securely routes trial documents, CDAs, invites, responses, questions, and answers between trial leaders and research officers, with helpful alerts and organizational tools to manage all communication. 

About TriNetX:
TriNetX is a federated clinical data network of providers and pharmaceutical companies used to enhance clinical trial design and accelerate trial site and patient recruitment. TriNetX membership increases the flow of sponsored research to providers and enables pharmaceutical companies to find the right patients at the right sites for clinical trials.

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Use Cases

Description:

Clinical trial matching

Match patients against complex inclusion/exclusion criteria

Protocol optimization

Crash test your protocol criteria against large cohorts

Cataloguing data assets

Abstractors can focus on lesser number of patients

Allocate less time on more patients

Patient-level indexing beyond document-level extractions

Proprietary clinical reasoning techniques make sense of complexities, such as conflicting staging information. By closely mimicking a human expert’s skills, Mendel builds a full patient journey—not just mere entity extractions.

Clinical utility preserved at scale

Extract an extensive and continually expanding range of clinical attributes from medical records with the precision of a human expert and a scale that only machines can achieve. We extract every mention of a clinically relevant fact at the sentence level.

An index that never overlooks faxes and PDFs

Designed and trained specifically for the language of healthcare, our OCR turbocharges indexing and captures 400X more from clinical faxes and PDFs compared to existing technologies. 

Pediatric use cases:

None provided

Users:

Not specified

Description:

Sponsors and CROs

  • Gather input on protocols from your most important stakeholders
  • Identify partners with the experience and patients you’re seeking
  • Help your trial sites enroll by pointing them to the patients who meet eligibility criteria

Healthcare organizations

  • Stand out to the world’s most innovative trial leaders
  • Attract studies that match your interests, experience, and patients
  • Easily re-identify patients who meet study criteria
  • Broaden treatment options for your patients
Pediatric use cases:

None provided

Users:
  • Medical College of Wisconsin
  • MetroHealth (Cuyahoga County, OH) 
  • Penn State Clinical and Translational Science Institute
  • University of Oxford (UK)
  • University of New Mexico 
  • University of Texas Medical Branch

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

None provided

Hardware Compatibility:

Desktop

Client Types

None provided
None provided

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Keywords

Images

No images provided

No images provided

Videos

No videos provided

No videos provided

Downloads

No content provided

No content provided

Alternatives

Company Details

Founded in 2017

Founded in 2013

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