I have been a Senior UX Designer at John Muir Health for five years. Two years ago, I became an HRO Ambassador. This function enabled me to expand my network of colleagues, to work with more people and on different projects and as I did so I came to a realization: How much we could use Artificial Intelligence to help us make superior data-driven decisions, understand patient and employee needs better, and streamline processes.
Some of the challenges I learnt about are:
How to empower Hub’s users on our new intranet platform.
How to galvanize and automate the SEARCH initiative.
How to enable document collaboration and conversation among EST teams.
For HR, how to preserve and disseminate critical knowledge, automate generation of forms, run surveys, and monitor employee engagement.
I always assumed that Artificial Intelligence was too complex to understand and implement. This is true of Artificial General Intelligence (AGI), which refers to AI that can perform any intellectual task that a human being can, but there is also another form of AI called Artificial Narrow Intelligence (ANI) that specializes in performing a single task extremely well. These are AIs used in a smart speaker, a self-driving car, AI web searches, bots, or AI applications in farming and a factory.
As I started a certification program in AI and began focusing on the solutions that are being developed in the healthcare space, I learnt that ANI is accessible, and relatively easy to implement. ANI, when executed correctly, can not only streamline mundane tasks and accelerate evidence-based decision making but it can reveal valuable insights about users, which is music to my ears! Or as someone famously said: Designers and data scientists live in an unexpected Venn diagram of intent.
So, where do we go next? Here is a brainstorming framework that allows teams to evaluate good ANI candidates; think of these in terms of automating tasks rather than automating jobs:
Can you think of a task in your job that can be automated?
What is the main business value of automating this task?
What are the crucial pain points in performing this task?
Chances are, if you can think of it, it will be a good candidate for ANI.
Feel free to use this framework and share your findings.