DALLAS--(BUSINESS WIRE)--UT Southwestern Medical Center (UTSW) has entered into a strategic license agreement with Pieces Technologies, Inc. (Pieces Tech) to scale a novel program to improve outcomes of adult patients requiring long-term parenteral antibiotic therapy. The program was developed by a multidisciplinary team led by Dr. Kavita Bhavan, Associate Professor of Internal Medicine at UT Southwestern, and will be distributed nationally on the Pieces DS software platform.
The self-administered outpatient parenteral antibiotic therapy program, “S-OPAT” as it is known, has been tested extensively at Parkland Health & Hospital System in Dallas. The program has demonstrated upwards of $7.6 million in annual direct savings and a 47 percent reduction in 30-day readmission rate for patients engaged in self-care versus standard forms of OPAT. The cornerstone of the program focuses on training patients and families to safely self-administer parenteral antibiotics at home. Pieces Technologies estimates that health systems could realize 40 percent in direct savings through the use of this program.
“Licensing materials developed at UT Southwestern allows us to effectively scale this program to interested hospitals across the country,” says Dr. Bhavan.
“Pieces DS will serve as the data backbone of the program in a health system,” says Anand Shah, MD, Chief Clinical Officer at Pieces Technologies. “Working with Dr. Bhavan and UT Southwestern Medical Center, we’ll be able to ensure consistent implementation across diverse healthcare systems. The Pieces DS Platform, and the analytics behind it, will allow for continuous learning and benchmarking in this area.”
About Pieces Tech: Pieces Technologies, Inc. is a Dallas-based health information technology company on a mission to advance health at every decision. Pieces™ DS is a cloud-based software platform that improves quality and cost of care by applying key algorithms throughout a patient’s journey, in real-time. Pieces™ DS is fully integrated with the electronic medical record and leverages class-leading risk modeling, natural language processing, machine learning, and artificial intelligence directly at the point of care. For more information about deploying the S-OPAT program at your health system, please email email@example.com.