Article
Neuro-OR-teammanager – data-driven surgical planning to optimise the resident’s education and commitment in the OR
Neuro-OP-Teammanager – progressive Web App zur Optimierung der Assistenten*innen-Ausbildung und deren Einsatz im OP
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Authors
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Dorothee Mielke
- Georg-August-Universität Göttingen, Neurochirurgie, Göttingen, Deutschland
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Christoph Rasche
- Universität Potsdam, Management, Professional Services, Potsdam, Deutschland
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Veit Rohde
- Georg-August-Universität Göttingen, Neurochirurgie, Göttingen, Deutschland
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Thorsten Knape
- Universität Potsdam, Management, Professional Services, Potsdam, Deutschland
| Published: | June 4, 2021 |
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Outline
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Objective: Digital applications play an increasing role in clinical practice and everyday life. Young residents, considered to be digital natives, are very open-minded in this regard, since they grew up during the age of digitization.
Hence, aim of this project was to develop a progressive Web App (PWA) that simplifies the surgical planning and allocates each resident adapted to her or his current state of skills.
Methods: In collaboration with digital experts we designed a PWA that includes different features like current state of skills (divided into different categories), number and type of surgeries done or assisted. Furthermore, an armamentarium of different surgical standard operation procedures will be available for young residents that should guide them through operative procedures. The PWA will be easily used as a smartphone-app during daily routine.
Results: So far, we have designed a mock-up including different features. Final aim is, that the surgeon in charge of the surgical planning, has access to each resident’s account in order to allocate them to his or her current state of skills. The PWA should allow a postoperative evaluation of the current skills (assumed that the resident gives his or her positive consent). Up to date, legal aspects dealing with the protection of data privacy sill have to be finalized. In the future, the PWA might play a role for analytics and artificial intelligence.
Conclusion: The PWA will simplify the surgical planning and should optimize the resident’s education and commitment, since each resident will take part in surgical procedures that fits his or her current state of skills. Furthermore, the application provides new staff members with current standard operating procedures, that are easily available in the operating room. Several further applications of the PWA in the future are conceivable.
