Continued From Page 24 has the capability to help detect previously undetected pre-cancerous polyps .
At Gastroenterology Associates of New Jersey , we ’ ve introduced a new technology to colonoscopy procedures which improves the detection of polyps , the precursor lesion to cancer . The GI Genuis from Medtronic is a device that seamlessly integrates with current endoscopy equipment and acts as a second set of eyes for the physician .
Benefits to patients include :
◾ 30 % relative increase in adenoma / polyp detection rates ,
◾ PP14 % absolute detection in adenoma / polyp detection rates
◾ 50 % more likely to detect multiple polyps .
Colorectal cancer is one of the few preventable cancers by finding and eliminating polyps before they can grow and become cancerous . This new technology is one way we can improve the accuracy of detection and , in many cases , prevent cancer before it starts . New and evolving innovations in artificial intelligence will soon become the norm in endoscopic procedures , but patients still play a vital role --- they need to be proactive , making sure to get their colonoscopy at the recommended age and interval as recommended by their physician .
Holy Name Medical Center Michael Maron President & CEO
Holy Name Medical Center in New Jersey stands as an unrivaled leader in healthcare technology on the East Coast , boasting exceptional expertise in software development and architecture . The center ' s profound understanding of the potential of software development and computing technology has propelled them to the forefront of innovation in the healthcare industry .
First and foremost , Holy Name recognizes the overuse of the term “ AI ” and its potential to mislead people about the current state of software development and computing technology . Rather than relying on buzzwords , Holy Name emphasizes the importance of machine learning , a more accurate and applicable term . Machine learning involves significant human intervention in coding and data collection , enabling Holy Name to leverage this technology to its fullest potential .
Notably , Holy Name is actively designing operational modules and financial systems for Electronic Medical Records ( EMR ) that incorporate machine learning capabilities . These systems are designed with flexibility in mind , allowing for seamless integration of AI advancements as they evolve . By harnessing machine learning and the future integration of AI , Holy Name ensures their systems are primed to optimize clinical guidance , system speed and efficiency , data analysis , and financial and operational performance .
Moreover , Holy Name ' s utilization of machine learning and future AI integration extends beyond clinical aspects . By leveraging these technologies , the medical center transforms data analysis , enabling real-time insights that drive informed decision-making , resource optimization , and improved patient outcomes . Furthermore , Holy Name ' s commitment to developing cutting-edge financial and operational systems ensures seamless operations , elevating efficiency and performance across the organization .
Lastly , Holy Name envisions a revolutionary transition in healthcare technology that will render current EMR and health-related information systems outdated and antiquated . With their deep understanding of software development , architecture , and the potential of machine learning and AI , Holy Name is poised to spearhead this transformative era , driving the next generation of healthcare systems .
Saint Peter ’ s Healthcare System Jordan Tannenbaum , MD , MBA , MPH , CHCIO , PgC Healthcare Informatics Vice President / Chief Information Officer and Chief Medical Information Officer Saint Peter ’ s Healthcare System has partnered with Jvion to use AI enabled methodologies to identify inpatients who are at risk for extended stays or readmission within 30 days . The methodology is unique in that it incorporates census tract data , person-specific non-medical data from public sources , comprehensive claims data and pharmacy use data to create a comprehensive risk profile . We have extended this partnership to begin identifying patients on an individual level who have high-risk social determinants of health needs , such as lack of transportation , housing , or food insecurity . Our goal is to proactively engage with these patients , especially our adult , pediatric and women ’ s health patients at Saint Peter ’ s Family Health Center , connecting them to community and government resources for the support they need as a complement to their clinical care .
Valley Health System Eric Carey Vice President and Chief Information Officer
At Valley Health System , we are constructing our new stateof-the-art hospital located in Paramus , New Jersey . The Valley Hospital in Paramus has been designed to optimize care delivery using state-of-the-art technologies , including artificial intelligence ( AI ), smart beds , and Real-Time Location Systems ( RTLS ).
As part of the ‘ smart hospital ’ design , Valley will use Inspiren ’ s AUGi platform , a technology developed to prevent patient falls , in each patient room . The AUGi platform combines a hybrid sensor , AI , computer vision , a smartphone application , an integrated smart lanyard , andvcBluetooth low
energy into a powerful tool right in the hands of our nursing staff . AUGi observes patient behavior , and the AI technology predicts bed and chair exits . If detected , the device sends alerts directly to the staff on their Vocera Edge devices to warn them of potential falls . Nurses and Patient Care Associates can also ‘ live view ’ to check on their patients if an alert is sent , or to coordinate their response .
Additionally , Valley ’ s RTLS will be used so patients can identify who from Valley ’ s care team is entering their room . Staff information , including name , title , and ID photo , will appear on a 75-inch digital footwall monitor in each patient ’ s room . Also , the RTLS will be integrated with the electronic health record to provide clinicians with up-to-date patient locations , even when they are not in the patient ’ s room .
Our teams continue to be pioneers of the latest technologies . We look forward to adopting the latest technologies to improve patient care and develop more efficient operations .
AI combined with human intelligence can help to decrease repetitive tasks . This gives medical personnel more time to spend with their patients .
Photo : Getty Images / iStockphoto / xijan
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