Healthcare startups are increasingly utilizing artificial intelligence to address challenges such as clinician shortages, tight margins, and physician burnout. By enhancing operational efficiencies, AI can potentially enable clinicians to handle larger patient caseloads without compromising care quality. Some startups, like Hinge Health, aspire to automate aspects of care delivery, while others prefer to limit AI integration to non-clinical tasks to mitigate risks. In musculoskeletal care, companies are deploying AI tools, exemplified by Sword Health's goal to increase patient management from 200-300 to an average of 700 per clinician by the end of 2024.
"The long-term vision is to continue to peel away aspects of in-person care and deliver the care itself via technology," said CEO Daniel Perez, the cofounder and CEO of newly public physical therapy company Hinge Health.
"It's allowing companies that historically would not have gotten to profitability, that may have had to go out of business, to sustain and to be able to keep driving impact long term," said NOCD cofounder and CEO Stephen Smith.
Sword Health spent 2024 ramping up its AI applications for clinicians. While its physical therapists were expected to manage between 200 to 300 patients at a given time, the company wanted those providers to manage 700 patients at a time on average by the end of 2024.
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