Net Health, a provider of cloud-based software and analytics for specialty medical providers, announces the addition of two predictive analytic capabilities embedded in the workflow of Net Health Wound Care’s electronic health record (EHR) platform.

Offering artificial intelligence-based capabilities, the Net Health Wound Care software platform now includes the Risk of Amputation Indicator, developed to reduce the risk of amputations, and the Wound Healing Velocity Indicator, developed to predict wound healing rates. Both capabilities will provide insights needed to develop optimal patient therapies, implement effective interventions, and plan treatment paths that will improve outcomes.

These new predictive analytics capabilities are made possible by Net Health’s database of wound care episodes covering 4.7 million wounds over more than 20 years. The algorithms behind the healing prediction and amputation risk indicators are trained and tested on this database.

Predictive Analytics Tools

The Risk of Amputation Indicator is a predictive analytics tool that informs clinicians of the likelihood that a wound could lead to an amputation by highlighting obstacles to recovery. The indicator is backed by a predictive model powered by wound care insights. The Risk of Amputation Indicator considers approximately 175 parameters related to the patient and their wound(s).  It provides clinicians with real-time predictions, giving them the knowledge needed to intervene and prevent unnecessary amputations.

The Wound Healing Velocity Indicator informs clinicians of the likelihood that a specific patient’s wound will heal within 4, 8, 12, or 16 weeks. It offers a real-time snapshot of a wound’s likelihood of healing based on an analysis of millions of wound care episodes and factors in hundreds of parameters that affect healing time.

The Net Health Wound Care application also offers insight into wound and patient-specific information that is helping or hurting a patient’s chance of healing.  Pairing these predictive insights can help clinicians make more timely interventions to optimize a patient’s healing outcome. The data used to develop the two indicators were tested as part of a recent pilot program involving several Net Health Wound Care clients. Clinicians using the platform provided several insights helping to validate the concept and inform updates and features to ensure optimal value for clinicians.

“Wound care clinicians work tirelessly to help their patients. But wound care is complex – there are multiple factors that can prolong or interrupt healing. What clinicians need is accurate information and guidance about the wounds they are treating. 

“Predictive models and machine learning represent the next level in the evolution of wound care technology. Coupling that capability with the EHR most wound care clinicians trust and rely on provides a powerful tool to help patients get better faster.”

— Josh Budman, Vice President of Analytics

[Source(s): Net Health Systems Inc, PR Newswire]

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