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Description

The RBC Morphology simulator presents 25 unique case studies that highlight various conditions affecting RBC morphology. These cases simulate the experience of a technologist reviewing blood smears. Examples of morphological features include hypochromasia, macrocytes, microcytes, Pappenheimer bodies, platelet clumps, polychromasia, schistocytes, sickle cells, spherocytes, target cells, and teardrop cells. The WBC Differential simulator presents 25 unique case studies. Each case study includes a patient history, results of the CBC, and a simulated 100 WBC differential. Cells shown include lymphocytes, segmented neutrophils, band neutrophils, reactive lymphocytes, monocytes, eosinophils, basophils, blasts, promyelocytes, myelocytes, metamyelocytes, and nucleated red blood cells. The Bacteriology Case Simulator showcases 49 organisms common to the clinical setting. Students will describe colony morphology, review Gram stains using the virtual microscope, logically assemble testing pathways, and interpret biochemical testing to confirm identification. They will use the split-screen view to compare organisms or simultaneously display the resource-rich interactive identification flow chart.

Description

Data schemas define the structure and content of various types of information, such as blood glucose levels, influencing how software applications manage that information. Often, systems must accommodate data from multiple devices or platforms, each presenting information in its own unique way. When all data related to a specific metric, like blood glucose, adheres to a unified schema, it becomes significantly easier to analyze and interpret that information, regardless of its original source. A standardized schema acts as a consistent point of reference for documentation, facilitating the use of data points across different contexts. In the realm of healthcare, the importance of common data schemas is magnified due to the intricate nature and significance of health-related information. For instance, recognizing the difference between fasting and non-fasting blood glucose levels is crucial for accurate clinical interpretation and decision-making. This shared understanding ensures that healthcare professionals can communicate effectively and make informed decisions based on reliable data.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

MediaLab

Founded

1995

Country

United States

Website

www.medialab.com/case-simulators

Vendor Details

Company Name

Open mHealth

Country

United States

Website

www.openmhealth.org

Product Features

Product Features

Alternatives

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