Documentation in hospitals is broken. Clinicians spend 50% of their day reviewing patient records and documenting conditions. This documentation burden is the leading cause of physician burnout. Directly, hospitals spend $60B on clinicians to enter and manage data on the EHR instead of treating patients at the bedside. Patients are frustrated that they get too little time with clinicians. Still, vague and incomplete documentation leads to $100B in lost revenue for hospitals.
HealthTensor has developed an AI copilot to help automate documentation for clinicians in the hospitals. This system can automatically diagnose and document patient conditions on behalf of the physician while giving them an accurate overall view of their patient at a glance. This saves time and ensures no patient condition slips through the cracks of a busy physician schedule.
Today an AI copilot can save time, improve patient care, and reduce costs. As more hospitals adopt these tools, we can soon discover best-in-class treatment plans for every patient. These tools will support value-based care and limit physician liabilities. Every note will be evidence-backed and can provide each physician with appropriate treatment plans from national findings.
Documentation today is a burden to all stakeholders, but with an AI copilot we can reduce physician burden, improve patient care, and reduce costs.
We have developed an MVP and run a retrospective case study with Cedars-Sinai in Los Angeles. For more information, please view our overview video below or visit our website.
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