Healogics®, in Partnership with Researchers from The University of Southern California, Developed a Model to Predict Healing of Chronic Wounds Within 12 Weeks
Healogics, Inc. — Researchers from the University of Southern California (USC) in partnership with Healogics have recently produced a model to predict healing to identify wounds most likely to heal within 12 weeks. Unlike other models that have been previously published, this model utilized EMR data from over 600,000 wounds, allowing for highly predictive classification across a variety of wound types. Findings from this model also indicated that a wound’s characteristics at initial presentation, such as area, depth, and location, are far more powerful than the patient demographics or comorbidities in determining whether a wound will heal. This research will be published in Advances of Wound Care, with the full article currently published ahead of print online (https://www.liebertpub.com/doi/full/10.1089/wound.2019.1091). Read more about this new model in an interview with the USC researchers here (https://iwoundsnews.com/prediction-model-chronic-wounds-healing-clinical-decision-making/). Or, head to our Wound Science Initiative resource page to download the full article.
Headquartered in Jacksonville, Fla., Healogics is the nation’s wound healing expert. Last year over 350,000 patients received advanced wound care through a nationwide network of over 600 Wound Care Centers. The Healogics team is made up of almost 3,000 employees, 4,000 affiliated physicians and a Healogics Specialty Physician practice group of nearly 300. In addition to the company’s network of outpatient Centers, Healogics partners with over 300 skilled nursing facilities to care for patients with chronic wounds, and provides inpatient consults at more than 80 partner hospitals. As the industry leader, Healogics has the largest repository of chronic wound-specific patient data in the country. The Healogics Wound Science Initiative, an effort launched in 2017 to provide peer-reviewed research, recognizes the value and relevance of big data and advanced analytics to drive continuous, collaborative learning towards a better understanding of how to efficiently utilize healthcare resources for patients with wounds. For additional information, please visit Healogics.com.