novel neuropool

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novel neuropool

• novelgmbh
• Ismaninger Straße 51
• 81675 Munich
• Germany
• www.novel.de

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Main Properties of novel neuropool

• Database for diabetic patients includes
• Data of patients (novel diabetic questionnaire)
• Pedar/ Emed data files
• Additional files
• Calculation of specific parameters
• Access to novel report diabetes

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Tables of database
data of patients
clinical data
additional files
data files
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Fields
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Build Query
Select and display specific user-defined groups
of patients
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Patient data
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Visits data (1)
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Visits data (2)
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General data
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Diseases
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Foot data (1)
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Foot data (2)
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Foot data (3)
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Generate a report (1)
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HTML Report
first page

• title and custom logos

• patient photo and data provided from the
  database software

• 2D and 3D averaged maximum pressure picture

• foot note with visit date, name of physician,
  patient ID, patient name

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HTML Report

• second page
• Left feet
• 2D averaged maximum pressure picture of actual
  data set (left side) in comparison with the
  averaged 2D MPP of healthy subjects (HS). The
  foot regions of interest are overlayed.

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HTML Report

• third page
• Right feet
• 2D averaged maximum pressure picture of actual
  data set (left side) in comparison with the
  averaged 2D MPP of healthy subjects. The foot
  regions of interest are overlayed.

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HTML Report

• 4th-6th page
• bar graphs for peak pressure, pressure-time
  integral maximum force, force time integral
  overlayed with the data from the group of HS (red
  curve) for each region of interest.

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HTML Report

• 5th page
• bar graphs for peak pressure, pressure-time
  integral maximum force, force time integral
  overlayed with the data from the group of HS (red
  curve) for each region of interest.

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HTML Report

• 6th page
• bar graphs for peak pressure, pressure-time
  integral maximum force, force time integral
  overlayed with the data from the group of HS (red
  curve) for each region of interest.

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Conclusion
novel neuropool advantages

• creation of database for diabetic patients
• guided by a diabetic questionnaire developed by
  novel
• integration of pedar, emed and multi-media data
  files
• execution of detailed clinical reports for
  diabetic patients
• integration of individual comments
• automated statistical analyses

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