By Kylie Gilberg, Associate Marketing Manager, Midmark Corporation
Did you know that 20% of newly diagnosed patients and 80% of those with diabetes for 15 years or more are at risk of vision loss from diabetic retinopathy?1And 16% of errors are due to inadequate physical examination.2 This makes early and accurate detection important.
For a patient with a complex condition such as diabetes, proper visualization is key for correct diagnosis. Many clinicians too readily accept the failings of their current instruments as status quo. But the impact from misdiagnosis to the patient can be dramatic and life changing, even leading to blindness. It can also lead to further increases in the cost of healthcare. Better technology can improve visualization, which is essential for accurate diagnosis, disease detection and prevention.
Midmark HEINE Diagnostic Instruments are built with exclusive technology:
- Aspherical Optical System (AOS): AOS redirects corneal reflections away from your line of sight to deliver a crisper, clearer, unobstructed view of the fundus for an improved diagnosis. AOS also eliminates the need for filters or other systems that reduce resolution and compromise your ability to see important details.
- LEDHQ: HEINE® is the first company to replicate the color-rendering index (CRI) propertiesof halogen with the lifelong capabilities of LED. See colors as they truly appear without the maintenance costs. In fact, you may never have to replace an otoscope or ophthalmoscope bulb again. And with a 100,000-hour bulb lifespan, a facility with 25 units can see a return on investment in a little over a year.
Since improving patient outcomes has become a central focus, providers must use better diagnostic technology to help improve the quality of patient care. Better instruments mean better care. But better instruments don’t have to break your budget. With Midmark
HEINE diagnostics instruments there are no maintenance costs or costly bulb replacements. Click here to learn More about Midmark and HEINE.
1https://jamanetwork.com/journals/jama/fullarticle/186384
2https://www.quantiamd.com/q-qcp/QuantiaMD_PreventingDiagnosticErrors_Whitepaper_1.pdf