EyesightIQ-AI-powered Optometric Assistant

Example

After a patient visit, EyesightIQ can compile a detailed summary including symptoms, observations, assessments, and a proposed plan for treatment or follow-up, known as SOAP notes. This helps in streamlining patient documentation and ensuring comprehensive care.

Scenario

A clinician inputs notes from a patient who presents with symptoms of dry eye syndrome. EyesightIQ synthesizes this information into a structured clinical summary, suggests a treatment plan, and prepares follow-up questions to assess the treatment's effectiveness and the patient's adherence.

Example

EyesightIQ can analyze the cost, retail price, sales volume, and rebates for products like glasses and contact lenses, offering insights into the most profitable items and suggesting pricing strategies.

Scenario

An optometric practice wants to evaluate the profitability of different contact lens brands they offer. EyesightIQ calculates the true cost per box, considering rebates and incentives, compares profitability, and projects potential growth from focusing on the most profitable brand.

Example

Based on the clinical encounter summary, EyesightIQ generates specific follow-up questions aimed at uncovering additional information or clarifying the patient's condition, facilitating better clinical decision-making.

Scenario

Following the assessment of a patient with progressive myopia, EyesightIQ suggests questions about the patient's daily screen time, outdoor activity levels, and family history of myopia to tailor a more effective management plan.