Transform Clinical Development and outcomes

Axtria partnered with a global pharmaceutical company to transform CDMS from an outsourced partner to a new platform managed by the company’s internal IT services organization. The effort resulted in quicker turnaround time and enhanced data exchange speed (94% faster), better user experience, secure data sharing and access, and real-time application log monitoring to detect issues.

A diversified healthcare company that supports community-based specialty practices across the US partnered with Axtria to use electronic medical record (EMR)/electronic health record (EHR) data to get a complete patient view and deliver clinical insights to physicians. Axtria built a highly sophisticated solution leveraging optical character recognition (OCR), natural language processing (NLP), and machine learning to enable easy dissemination of patient insights to physicians to aid R&D and improve the delivery of treatments to patients.

A healthcare provider collaborated with Axtria to develop an advanced analytics-driven study management enrollment/engagement prediction system to identify trends in patient data using large volumes of high-velocity EMR and wearable device data. Several data sources were combined to provide patient health monitoring insights and alerts to a patient and her physician. The effort resulted in more frequent and actionable insights to stakeholders, including doctors, hospital network, and network administrators.

For the clinical trials group of a leading pharmaceutical company, Axtria built an adverse event reporting (AER) engine to automate the identification of adverse events using various natural language processing (NLP) and supervised machine learning techniques. The effort resulted in an 80% reduction in manual identification effort. The company can also configure the solution to provide insights for marketing and compliance.