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Average Ratings 0 Ratings
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
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