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XebraPro
XebraPro

XebraPro

By Physician Cognition


  •  840 Interested

Highlights : About XebraPro

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Diagnostic conversation record

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Automatic diagnosis generation

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Checklists

About XebraPro

XebraPro is a cloud-based diagnostic tool which is designed for use by clinicians, including nurses, physician assistants (PAs), and doctors, and also offers a solution for training medical students. The system uses a combination of artificial intelligence (AI) and Bayesian algorithms based on clinicians’ cognitive strategies and decision-making processes to generate the most likely diagnosis from patient symptoms, vital signs, medications, and history. XebraPro allows users to enter an unlimited number of patient symptoms and their related qualifiers, alongside lab results, vital signs, medication details, and patient histories to generate a high-confidence differential diagnosis. The algorithms used are designed to be transparent to allow clinicians to meaningfully agree or disagree with the inferences and decisions generated. XebraPro also provides real-time workup checklists to give users insight into follow-up actions, including which symptoms and qualifiers the patient should be asked about, which labs or tests should be ordered, and which physical exams to conduct.

Specifications

  24/7 Support
Yes
  Business Size
Mid-Market
  Deployments
Cloud
  Language Support
English
  Platforms

Product Details

Features

Workup guides

Real-time differential diagnosis

Symptoms input

Vital signs input

Labs input

Medications input

Patient history input

Checklists

Automatic diagnosis generation

Diagnostic conversation record

Benefits

Users can enter an unlimited number of symptoms and qualifiers, lab results, and physical signs, to generate a high-confidence differential diagnosis.

A comprehensive workup strategy is automatically generated in real-time to gives users a plan of the next actions they should take, including which symptoms and qualifiers to ask the patient about, which labs or tests should be ordered, and which physical exams to conduct.

The algorithms used in XebraPro are based on clinicians’ decision-making processes rather than epidemiological averages, and are transparent to allow clinicians to meaningfully agree or disagree with the generated inferences and decisions.

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