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Longhorn Life Sciences

Longhorn Life Sciences develops the Infection Detective, a medical device that utilizes real-time monitoring technology to enhance post-operative wound care management at home. This solution addresses the critical need for improved patient outcomes by providing timely alerts for potential infections, thereby reducing hospital readmissions and enhancing recovery experiences.

Austin, United StatesFounded 2021710+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Post-operative wound infections can lead to serious complications, increased healthcare costs, and prolonged recovery times. Current methods for detecting these infections often rely on patients recognizing symptoms and seeking in-person clinical evaluations, which can delay treatment. Remote monitoring solutions are needed to enable earlier detection and intervention.

Solution

Longhorn Life Sciences is developing the Infection Detective, a medical device designed for real-time, at-home monitoring of post-operative wounds. The device aims to provide timely alerts of potential infections, enabling prompt clinical intervention and reducing the likelihood of hospital readmissions. By continuously tracking key indicators at the wound site, the Infection Detective facilitates proactive wound care management and enhances the overall patient recovery experience. The technology is intended to bridge the gap between hospital discharge and follow-up appointments, ensuring that patients receive the necessary care in the comfort of their homes.

Target Audience

The primary target audience includes post-operative patients, particularly those at high risk for wound infections, as well as hospitals and clinics seeking to improve patient outcomes and reduce readmission rates.

Features

  • Real-time monitoring of wound parameters indicative of infection
  • Wireless data transmission to a secure monitoring platform
  • Integration with patient mobile app for self-reporting and alerts
  • Clinician dashboard for remote patient monitoring and data analysis
  • Predictive algorithms to identify patients at high risk of infection
This profile is AI-generated and may contain inaccuracies.