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About the solution
The Predictive Healthcare Team from the University of Pennsylvania developed a tool, the Covid-19 Hospital Impact Model for Epidemics (CHIME), to assist hospitals with capacity planning around Covid-19.
As demand increases following the pandemic outbreak, hospital systems need up-to-date projections of what additional resources will be required. CHIME will give informed estimates of how many patients will need hospitalization, ICU beds, and mechanical ventilation.
CHIME allows hospitals to enter information about their population and modify assumptions around the spread and behaviour of Covid-19. The default parameters are customised and updated to reflect the situation at Penn Medicine but CHIME can be adapted to the local contexts by modifying the information.
The most impactful parameter the tool takes into account, is the Doubling Time that defines how rapidly a disease spread. The tool also takes into account:
- Currently known regional infections
- Currently hospitalized Covid-19 patients
- Hospital market share
The tool is available in open-source for the entire healthcare community.
Adapted from: http://predictivehealthcare.pennmedicine.org/2020/03/14/accouncing-chime...
More information: http://predictivehealthcare.pennmedicine.org/2020/03/14/accouncing-chime...
https://penn-chime.phl.io/
Access the open source: https://github.com/CodeForPhilly/chime/
This solution shall not include mention to the use of drugs, chemicals or biologicals (including food); invasive devices; offensive, commercial or inherently dangerous content. This solution was not medically validated. Proceed with caution! If you have any doubts, please consult with a health professional.
DISCLAIMER: This story was written by someone who is not the author of the solution, therefore please be advised that, although it was written with the utmost respect for the innovation and the innovator, there can be some incorrect statements. If you find any errors please contact the patient Innovation team via info@patient-innovation.com
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