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Artificial intelligence technology / automated processes of Cardiovascular Surgery patients – Report

Improving Patient Care in Cardiac Surgery Using System Based Methodology


     ABOUT XPRESS CARDIO HEALTH IT

XPRESS CARDIO is the expert in cardiology workflow. With over of experience in Cardiovascular IT and a practicing cardiologist at our helm, XPRESSCARDIO provides an unparalleled level of clinical “know how” in cardiology and IT. Our clinical reporting, device interfaces, and analytics are currently in daily use in many of the top institutions and hospital systems in North America.

    The Mission:

‘Xpresscardio’ mission is to Emphasis on safety and quality saves large amounts of money by reducing defects in mission to improve cardiovascular care and patient outcomes through intelligent solutions and seamless integration.

    The vision

Our Vision is to perfect care of Cardiac Surgery Patients through quality services. We provide global healthcare solutions that create clinical and operational value based on workflow innovation, enterprise integration and clinical knowledge. We are solving today’s cardiovascular data accessibility and usability challenges and anticipating tomorrow’s.

     Background

A new cardiac surgery program was developed by a ‘www.xpressdoctors.com’ setting using the operational excellence (OE) method, using Artificial Intelligence (AI) and Machine Learning.(ML)

     Methods

Operational excellence methodology was taught to the cardiac surgery team. Coaching started a month before the opening cardiac surgery; we are acting as a service provider to the system based methodology.

     Results

Refined techniques, advanced technologies, and enhanced coordination of care have led to significant improvements in cardiac surgery outcomes.

According to the database maintained by us the risk-adjusted operative mortality rate was lower than the normal surgery. Likewise, the risk-adjusted rate of major complications was lower than Surgeons regional rate. Daily solution to determine cause was attempted on preoperative problems by all team members. Using the cost of complications by avoiding predicted complications resulted in a savings of at least a huge amount as compared with the regional average.

     Conclusions

By the systematic use of a real time, highly formatted problem-solving methodology, processes of care improved daily. Using carefully disciplined teamwork, reliable implementation of evidence-based protocols was realized by empowering the front line to make improvements. Low rates of complications were observed, and a cost savings per each case of isolated coronary artery bypass graft was realized.