Summary
MYSPHERA has rolled out a game changing IoT location solution to track and manage patient pathways in real time. It automates the surgical process by means of tailored applications that empower staff with live patient-flow data and notifications. As a result, the solution has obtained references in several EU countries that note a significant capacity increase.
Deploying this solution takes few months of co-design work with the hospital, which limits its scale-up potential. We aim to reduce the effort and time by an order of magnitude, falling from months to just a few days. An AI-Powered Visual Assistive Design IoT Pathway Platform based on Spatial Process Mining and Machine Learning technologies has been prototyped to complete this radical leap by streamlining the design, tailoring and deployment of optimal pathways and elective care planning projects, for any hospital, unit, and in a matter of days.
Deploying this solution takes few months of co-design work with the hospital, which limits its scale-up potential. We aim to reduce the effort and time by an order of magnitude, falling from months to just a few days. An AI-Powered Visual Assistive Design IoT Pathway Platform based on Spatial Process Mining and Machine Learning technologies has been prototyped to complete this radical leap by streamlining the design, tailoring and deployment of optimal pathways and elective care planning projects, for any hospital, unit, and in a matter of days.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/190198323 |
| Start date: | 01-05-2022 |
| End date: | 30-04-2024 |
| Total budget - Public funding: | 2 586 500,00 Euro - 1 810 550,00 Euro |
Cordis data
Original description
MYSPHERA has rolled out a game changing IoT location solution to track and manage patient pathways in real time. It automates the surgical process by means of tailored applications that empower staff with live patient-flow data and notifications. As a result, the solution has obtained references in several EU countries that note a significant capacity increase.Deploying this solution takes few months of co-design work with the hospital, which limits its scale-up potential. We aim to reduce the effort and time by an order of magnitude, falling from months to just a few days. An AI-Powered Visual Assistive Design IoT Pathway Platform based on Spatial Process Mining and Machine Learning technologies has been prototyped to complete this radical leap by streamlining the design, tailoring and deployment of optimal pathways and elective care planning projects, for any hospital, unit, and in a matter of days.
Status
SIGNEDCall topic
HORIZON-EIC-2021-ACCELERATORCHALLENGES-01-01Update Date
09-02-2023
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