Credit: omadahealth.com (edited)
Everybody wants to be first. People are fighting to get there. But in that fight to be number one and to be trendy, what they’re forgetting is: what’s the problem I am solving?
Deepali Joshi
Head of Customer Success
Omada Health
Tech is tearing through healthcare, promising sweeping changes in how care is delivered and experienced. But real change isn't about chasing the next big thing. It's about slowing down, getting strategic, and focusing on the problems that actually need solving.
Deepali Joshi, Head of Customer Success at Omada Health, advocates for a disciplined, problem-first methodology. Rather than trend chasing, successful AI integration in healthcare demands clear objectives and mindful implementation.
Problem first: "Everybody wants to be first. People are fighting to get there. But in that fight to be number one and to be trendy, what they're forgetting is: 'What's the problem I am solving?'" Joshi says. While healthcare tech is here to stay and will transform how care is delivered, its success depends entirely on that core question.
Skipping the basics: "People just aren't asking those foundational questions at the start—not setting the right metrics, not thinking about change management, not looping in frontline staff—the deployment itself isn't as impactful as it could be," Joshi says. The result? Inefficient rollouts, wasted effort, and situations where both humans and machines end up doing the same work.
We need to be nimble, but not at the cost of clarity. Without the right benchmarks and enough time to see results, you’re just jumping from one solution to another without seeing the impact or implication of what you’ve been trying to do.
Deepali Joshi
Head of Customer Success
Omada Health
Measure and select: "You have to always make sure that you are understanding what problem you're solving," Joshi says, stressing the need to match tools to actual needs, not hype. Just as important, she adds, is setting clear metrics and rollout benchmarks to track whether any solution is truly working.
Be nimble, be quick: "We need to be nimble," Joshi says—but not at the cost of clarity. Agility doesn't mean jumping from one shiny solution to the next. Without the right benchmarks and enough time to see results, she warns, teams fall into a cycle of false starts. "You're just jumping from one solution to another without seeing the impact or implication of what you've been trying to do," she warns.