Watch
Key Moments
1
Consolidated her medical records and Apple Watch data into one secure source, enabling immediate insights, pattern detection, and daily tracking of symptoms.
2
Uncovered the link between her menstrual cycle and GI bleeds, helping her monitor cramps, pain levels, and bleed timing in real time.
3
Flagged an early pre-diabetes risk and provided personalized recommendations to improve her blood sugar before it became critical.
4
Detected rising heart rates and alerted her to an oncoming two-week illness days before symptoms emerged.
5
Offered 24/7 support to ease her health anxiety, answer any questions and bridge gaps in care during six-month primary-care wait times.
Kelby's Full Story
A Burdened System
In Chico, California—still rebuilding after a devastating wildfire—accessing medical care can feel impossible. With one hospital shuttered and only two left to serve a growing population, emergency waits stretch to six hours, and routine primary-care appointments are booked out for months. Physicians are doing all they can, but the demand far exceeds capacity. When Kelby endured two baffling gastrointestinal bleeds, doctors reassured her the timing after her period “couldn’t be related,” leaving her anxious and alone with unanswered questions. “It’s hard to get doctor appointments where I live… it’s a very booked-up place,” she says.
Her Digital Ally
That’s when Kelby turned to Lotus Health AI as her 24/7 primary-care co-pilot. “I’m not super tech-savvy and I found out how to use it pretty quickly,” she says. Within minutes, Lotus unified her medical records and wearable data. “I was almost addicted to using it,” asking about the “weird medical thing none of my doctors could figure out.” Lotus caught some things that were previously missed and began connecting dots across her history.
Patterns Revealed
Soon, Lotus highlighted a connection that hadn’t been clear: Kelby’s GI bleeds appeared a couple of days after her period. “That can be related,” Lotus noted, and it helped her track cramps, pain levels, and bleeding episodes. It also surfaced an early near pre-diabetic risk—“No one’s told me this, but I found out from Lotus that I’m near pre-diabetic stage,” she says—and offered practical steps she could try.
Seeing What’s Next
Lotus’s help didn’t end with hindsight. When a virus laid Kelby low for two weeks, subtle increases in her watch-tracked heart rate were noticed—“It predicted I was going to be sick before I even got really sick,” she says—and Lotus monitored her through recovery. Now, each morning she checks in—“I check in with it every day… it helps me track my period and the intensity of that,” along with sleep, mood, and weight-loss progress. Most of all, she feels heard: “It’s nice to not feel rushed or dismissed. Lotus never is just like, ‘oh no, you’re fine.’”
In Kelby's Own Words
Questions About Kelby's Journey
Published By
Lotus Team
Published Date
Aug 13, 2025
Stories
Primary Care Copilot
AI Healthcare
Women’s Health
Menstrual Cycle
GI Bleed
Prediabetes
Digital Health Copilot