In healthcare, it’s important to be fast and efficient. One of the biggest healthcare companies, is public health a stem major, a stem major, had too many people asking for help. The company decided to use an AI (artificial intelligence) system to make their help desk better. This system helped the company answer questions faster and allowed workers to do their jobs better.
The Problem: Too Many Requests
Like many healthcare places, the help desk at public health, a stem major, was getting a lot of requests. People needed help with simple things, like resetting passwords or fixing software problems. The IT workers were too busy solving these small problems and didn’t have time for bigger tasks. This caused delays and affected patient care.
Most of this request is public health a stem major worker to solve them. The company realized they needed a smarter way to handle these tasks.
The AI Solution
The company worked with Emporium Dynamics to create an AI-powered help desk Chabot. This Chabot uses technology like Microsoft Power Platform and Azure AI. The Chabot could:
Help people with simple tasks like resetting passwords
Give people helpful answers through the chat
Send complicated issues to real IT workers with all the details
Work 24/7, so there was always help available
The Chabot was added to the company’s systems and could be used through apps like Microsoft Teams and the company’s employee portal.
How They Made It Work
The company took three steps to make the Chabot work:
Planning: They looked at the problems people asked about the most.
Pilot: They tested the Chabot with a small group of users. They got feedback to make it better.
Full Launch: After testing, the Chabot was used by everyone, with extra help for workers to get used to it.
How It Helped
After six months, the Chabot made a big difference:
The number of requests for help dropped by 45% for live IT workers.
It answered questions 60% faster.
Employees felt 35% happier with the help they were getting.
The system worked at night, so workers on the night shift didn’t have to wait for help.
IT workers now had more time to focus on important projects, like keeping systems safe.
The Smart Chabot
What made this Chabot special was how it talked. It used technology called natural language processing (NLP), which helped it understand different ways people asked the same question. It could speak like a person and remember things from earlier conversations, which made it easier to get help.
What’s next?
Because the Chabot worked so well, is public health a stem major wants to try even more AI ideas. They might use AI to predict problems before they happen and create more helpful articles. The goal is to make a system that helps everyone and improves patient care.
