Irvine, California-based Beta Bionics said its dashboard publishes outcomes for 100% of iLet patients who meet two simple, pre-stated criteria (a provider-reported baseline HbA1c and at least two weeks of data uploaded to the cloud), with no exclusions applied.
According to the company, real-world data serves as a key reference point for clinicians weighing multiple automated insulin delivery (AID) options. While most evidence in the category comes through posters, abstracts, press and earnings releases, the company wants to take a new approach.
By publishing data continuously and openly, Beta Bionics says anyone can evaluate iLet on its real-world performance. That includes clinicians, researchers, payers, patients and the broader diabetes community.
iLet, Beta Bionics’ flagship AID system, allows users to “go bionic,” requiring no carb counting or insulin correction calculations. Then, iLet determines 100% of the insulin doses throughout the day. The only input required to get started is the user’s weight. Beta Bionics also has the Mint patch pump under development with a launch expected next year.
The company says its real-world data dashboard prompts clinicians to consider sample size, baseline reporting, inclusion criteria, device settings and time frame before comparing one study to another. This helps providers interpret real-world claims from any manufacturer, including Beta Bionics itself.
Additionally, the company says it “welcomes others in the industry to publish their real-world data with clear inclusion criteria and no fine print to make it easier for providers and patients to evaluate outcomes with confidence.”
Sean Saint, president and CEO, said in a news release:
“Healthcare providers shouldn’t have to take our word for it. They should be able to see the data for themselves, on demand. Two simple criteria. At least two weeks on the iLet, and we have your data. That’s it. No exclusions. It’s time for data transparency in our industry. If we can do this, every company in our category can do this….and should!”
