Infosys soln to help access remote healthcare
Infosys Technologies on Wednesday announced that it has deployed a patient management tool for a health information technology initiative to improve healthcare access for rural and underserved patients.
The company collaborated with the University of New Mexico (UNM) to improve patient outcomes by designing and implementing a web application that facilitates real-time flow and access of interoperable clinical data among participating health providers, as part of Project ECHO (Extension for Community Healthcare Outcomes).
The project’s web-based patient management tool has an intuitive web interface that efficiently and securely integrates patient data in real-time from all participating health providers, leveraging Infosys’ healthcare integration and collaboration solution.
Besides managing patients based on a more accurate exchange of data, this tool is expected to enhance case-based educational experiences by facilitating more informed care-management decision making and continuous training of rural physicians.
The clinician-centric tool also delivers a platform for physicians to stay connected with patients throughout the treatment, ensuring better prognosis and improved patient compliance.
“Project ECHO has proven that technology can help overcome traditional barriers to adequate healthcare treatment, such as distance, income and lack of specialised medical professionals for underserved communities with no access to treatment,” UNM Health Sciences Centre’s Department of Medicine Project Director and Executive Vice Chairman Sanjeev Arora said.
The web-enabled software will allow Project ECHO to expand to multiple chronic diseases and health conditions such as HIV, cardiac conditions, mental health disorders, diabetes, autism and substance-abuse disorders.
In addition, since the system is delivered via a software-as-a-service (SaaS) model, it reduces potential technology barriers that previously existed in rural health clinics. It enables retrieval, sharing and use of data captured across disparate healthcare IT systems.

