https://github.com/dermatologist/openmrs-module-skinhelpdesk
An openMRS module for dermatology to map lesions on a body image. Video: https://youtu.be/wy5JPX6AWoM
https://github.com/dermatologist/openmrs-module-skinhelpdesk
dermatology emr health-informatics healthcare-application openmrs
Last synced: about 1 month ago
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An openMRS module for dermatology to map lesions on a body image. Video: https://youtu.be/wy5JPX6AWoM
- Host: GitHub
- URL: https://github.com/dermatologist/openmrs-module-skinhelpdesk
- Owner: dermatologist
- Created: 2016-01-02T02:38:16.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2025-01-20T02:42:55.000Z (3 months ago)
- Last Synced: 2025-03-17T17:56:25.843Z (about 1 month ago)
- Topics: dermatology, emr, health-informatics, healthcare-application, openmrs
- Language: JavaScript
- Size: 748 KB
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: Readme.MD
Awesome Lists containing this project
README
# openmrs-module-skinhelpdesk

[](https://travis-ci.org/dermatologist/openmrs-module-skinhelpdesk)
## What is openMRS?
openMRS is a highly customizable EMR platform that can be extended and customized by user-contributed modules. More details here: [http://openmrs.org](http://openmrs.org)
## What is openmrs-module-skinhelpdesk?
This module allows dermatologists to sketch lesions on a body wireframe during consultations, seamlessly integrating into our standard workflow. Read the [publication](https://derma.jmir.org/2020/1/e18149).
## How do I install and use this module?
- [Download latest release](https://modules.openmrs.org/#/show/255/dermatology-lesionmapper). Upload omod to OpenMRS.
- Watch this video: [https://youtu.be/wy5JPX6AWoM](https://youtu.be/wy5JPX6AWoM)## Credits
[Fabric.js](http://fabricjs.com) and the [Kitchensink](http://fabricjs.com/kitchensink/) tutorial.## Citation
```
@article{eapenLesionMapMethodTool2020,
title = {{{LesionMap}}: {{A Method}} and {{Tool}} for the {{Semantic Annotation}} of {{Dermatological Lesions}} for {{Documentation}} and {{Machine Learning}}},
shorttitle = {{{LesionMap}}},
author = {Eapen, Bell Raj and Archer, Norm and Sartipi, Kamran},
year = {2020},
month = apr,
journal = {JMIR Dermatology},
volume = {3},
number = {1},
pages = {e18149},
doi = {10.2196/18149},
}
```