Health organizations and eye clinics need a faster and more accurate way to diagnose eye health ailments and refer patients for care. EyeLibTM from MIKAJAKI combines artificial intelligence with robotics to enable providers to see more patients, improve diagnostic accuracy, and efficiently refer patients to specialists for follow-up care.
By identifying which patients were healthy and which required follow-up by a specialist or surgery, Hospital La Paz EyeLib improved patient flow to specialist by 44% by allowing patients without pathologies to avoid a manual eye exam at the outpatient unit.
The results included:
EyeLib transforms hospital ophthalmologic department operations by streamlining patient care and efficiently routing only patients with pathologies to specialists. For large healthcare organizations with patient backlogs, EyeLib can boost patient flow by 40% or more.
EyeLib Station allows eye clinics to see more patients, boost referral income to specialists, and open highly profitable satellite locations.
By building a more efficient eye diagnostic process, EyeLib lowers overall costs to see and treat patients and supports preventative health. This benefits public health organizations and insurers by achieving improved health care at a lower overall cost.
By providing patients with faster access to providers and making eye diagnostics more accessible, EyeLib robust Patients Preventative healthcare and By allowing patients to be seen faster and EyeLib Station allows eye clinics to see more patients, boost referral income to specialists, and open highly profitable satellite locations.
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