Predictive Intelligence Behind EndoTool
Earlier this month, the blog titled ‘Innovative Thinking > Product Selling’ summarized the idea of selling a concept instead of selling a product. The article informed the reader that in order to sell an innovative technology, they have to not only change what executives think, but also how they think.
When it comes to recommending an insulin dose for hospitalized patients, EndoTool replaces dated and linear protocols with personalized patient treatment. The magic behind EndoTool’s innovation is to use sophisticated and predictive algorithms to optimize insulin dosing for even the most complex patients. In turn, institutions avoid costly hospital acquired infections and hospital acquired conditions as the result of poor glucose control.
The EndoTool Glucose Management System uses predictive intelligence to disrupt the delivery of patient care with a personalized approach, and is becoming one of the safest ways to dose a dangerous medication. This refers to the algorithms behind the software. The product was designed with over 60 combined algorithms developed by a team of practicing doctors and mathematicians. These algorithms ensure that dosing is individualized and responsive to ongoing changes in each patient’s unique physiological response.
This clinical decision support software guides clinicians toward an overall result of safer care, meaning, a clinical decision cannot be made without the brilliant minds of medical directors, pharmacists, nurses, and doctors. During the pre-implementation stage, parameters are set based on the designated hospital’s policy and goals, and, if necessary, adjusted at any time in the future.
The algorithms behind EndoTool take each patient’s unique physiology and individual response to insulin in combination with the knowledge and recommendations of doctors to guide clinicians to insulin dose recommendations.