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

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Categories

Solutions

Description

Product Description:

CarePrompter is a nurse triage platform and patient engagement tool. CarePrompter has

improved healthcare outcomes for oncology patients across the United States. Built with patients and clinicians in mind, our product enables oncology departments and

practices to provide personalized care and reduce costs through increased efficiency.​ 

Patients download CarePrompter onto their smartphones, which enables them to:

  • Engage in self-care
  • Report symptoms
  • Fill out QoL and other validated instruments
  • Track their health over time

Patient data can be securely transmitted to nurses who access it via the myCare Dashboard integrated into the EHR.

About Digidence:

Digidence develops state-of-the-art software solutions for oncology practices to improve clinical trial accrual, patient outcomes and clinical workflow. Through collaborations across the United States, our products are expertly designed, scientifically tested, and fully utilized by clinicians and patients.

Product Description:

Isabel is the leading differential diagnosis generation tool trusted by hundreds of institutions and thousands of clinicians every day. The DDx Companion covers over 10,000 conditions, all ages and specialties and delivers an accurate differential in less than 90 seconds!

Isabel’s unique AI technology based on machine learning, means that a list of likely diseases can be instantly generated using just the presenting clinical features and without having to answer endless questions.

The most important aspect of Isabel’s technology is how well it was trained over 22 years using evidenced-based knowledge and feedback from practicing clinicians about how diseases present. This training is underpinned with a continual validation process and enables Isabel to suggest the correct disease in the top ten differential with 96% accuracy!

About Isabel Healthcare, Inc.:
Isabel Healthcare Inc. was founded in 2000 by Jason Maude and is named after Maude’s daughter who almost died after a potentially fatal illness was not recognized. The Isabel engine is the only AI system utilizing Curated Machine Learning and true Natural Language input. Isabel is recognized as the broadest, most accurate tool available for both clinicians and consumers. Isabel Professional is used by clinicians worldwide to build and broaden their differential and improve diagnosis performance of frontline clinicians. The Isabel Symptom Checker/Care Direction patient engagement platform can be integrated into various patient experience workflows (patient portals, home pages, apps, chat/voice, etc.) creating the digital “front door” for patients.

Compatibility level

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Clients

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Use Cases

Description:

Practices can customize CarePrompter in many ways, including:

  • Educational content
  • Question branching logic
  • Clinician-facing triage protocol and alerts
  • Any validated or custom instrument
Pediatric use cases:

None provided

Users:

Not specified

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

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 1999

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