Problem Statement
Currently, nurses have to prepare the list of required
Operating Theater (OT) assets before surgeries from scratch.
This requires experience and senior nurses have to guide junior nurses as they learn on the job.
This causes reliance on senior nurses, and is time-consuming.
How might we use technology to optimise this process and alleviate the workload of hospital staff,
so that nurses can focus on providing better healthcare?
Project Description
The proposed predictive model aims to lighten the workload for healthcare workers at Sengkang General Hospital (SKH). Machine Learning (ML) and Optical Character Recognition (OCR) will be deployed in pre- and post-operation work processes to reduce the amount of manual efforts required. The automation of laborious manual processes will alleviate the burden on hospital employees, allowing them to focus on providing better healthcare for patients.
1. Pre-operation Solution
Introducing SurgiBot!
Key Features of SurgiBot
Here's how SurgiBot works
System Architecture
Impacts
Reviews of SurgiBot
This dashboard is quite easy to use, I don’t think we will have much problem learning how to use it.
It will be quite useful for new nurses who just joined!
2. Post-operation Solution
Introducing SurgiBot OCR!
Here's how SurgiBot OCR works
