January 12, 2021

PatientIQ Expands at Midwest Orthopaedics at Rush

Overview

To start off 2021, we are excited to announce that we’ve successfully expanded our suite of integrated solutions at Midwest Orthopaedics at Rush. We have effectively onboarded over 400+ members of their organization, including healthcare providers, administrators, clinical staff, researchers, and more, onto the PatientIQ platform.  

What does this partnership look like?

Since 2018, Midwest Orthopaedics at Rush has been partnered with PatientIQ to empower their clinical teams with an advanced healthcare analytics platform designed to monitor patients’ healing and recovery, send timely information related to treatment plans, and gain data-driven insights into how to best treat patients over time. 

Our platform integrates seamlessly with the athenahealth electronic health record (EHR) system to streamline patient intake, develop quality reports, and facilitate automated workflows based upon disease status, procedure codes, and more using our rules-based engine. The platform also supports seamless data submission for the American Joint Replacement Registry (AJRR), as an approved vendor for the American Academy of Orthopaedic Surgeons (AAOS) Registry Program.

How does Midwest Orthopaedics at Rush use pIQ for research?

Providers and clinical researchers also leverage the platform to automate research tasks and generate biostatistical models to increase academic output for publishing research in medical journals. 

“The statistical analytics is impressive and can be used to generate data into tables/graphs with appropriate statistical tests in real-time. The software will generate all your tables/graphs and statistical methodology so that your entire results section is complete,” said Dr. Shane Nho, an orthopaedic surgeon, and sports medicine specialist at Midwest Orthopaedics at Rush. 

Dr. Nho is actively involved in basic science, translational, and clinical research. Many of these research studies and clinical trials have led to advancements in patients' clinical care, allowing patients to receive the most innovative and up-to-date treatment.

In late 2019, we collaborated with Dr. Nho and other clinical researchers at MOR to develop machine learning algorithms to identify predictive factors associated with patients lost to follow-up after arthroscopic hip surgery femoroacetabular impingement. The findings were published in the Arthroscopy, Sports Medicine, and Rehabilitation Journal

 We are grateful to work alongside some of the top tier medical professionals in the country who are as passionate as we are about pushing the boundaries of medicine. 

Contact Us

To learn more about the platform, please contact us at hello@patientiq.io or request a demo from our website!