Established surgical risk calculators and methods can have difficulty accounting for a patient’s unique health situation, making correct risk prediction a significant challenge and increasing the risk of complications during surgery. The consequences for surgeons, patients and healthcare systems could be significant: patient suffering, destitute treatment outcomes and increased healthcare costs.
Therefore, it is no coincidence that artificial intelligence has become a key risk assessment tool in the operating room. Caresyntax’s surgical intelligence platform combines the benefits of predictive data analytics and machine learning in an advanced solution that can tailor risk assessment to an individual’s specific health status, ensuring improved patient safety and more effective healthcare.
Harnessing the power of data from the operating room
Caresyntax’s vendor-agnostic surgical platform uses artificial intelligence to analyze the massive amounts of data generated in state-of-the-art operating rooms to improve patient outcomes, boost surgical efficiency and reduce healthcare costs. By enabling better decision-making and resource allocation, Caresyntax helps hospitals reduce clinical waste, optimize the apply of circumscribed surgical resources and significantly reduce costs associated with surgical operations.
The platform analyzes data from all sources in the operating room – video, audio, images, devices, clinical and operational data – and can draw on over three million surgical records to provide the surgical team with actionable insights before, during and after surgery. This is a good example of how AI-based models can apply predictive analytics to mine past data and identify future outcomes, while these models also learn and continually adapt to understand convoluted relationships and patterns in the data.
Insights while traveling
“Our platform addresses the urgent need for data-driven analytics in the operating room, where even small improvements can have a huge impact on patient safety and hospital efficiency,” says Caresyntax co-founder Björn von Siemens.
Caresyntax software already delivers the benefits of AI-driven risk mitigation in key surgical settings. It is used to predict surgical site infections, achieving a sensitivity of up to 80% in identifying patients at high risk of infection. Elsewhere, ClipAssistNet provides surgeons with real-time feedback during laparoscopic and robotic surgery. For example, during a cholecystectomy (removal of the gallbladder), it analyzes video data to ensure the clip applicator is evident and alerts the surgeon when visibility is destitute.
Patient safety comes first
The apply of AI in clinical settings requires ethical implementation, and Caresyntax software is compliant with multiple regulatory requirements for privacy and patient data protection, including GDPR in the EU and HIPAA in the US, where it is also registered as a Patient Safety Organization (PSO). .
“Looking to the future, the impact of artificial intelligence on surgical risk prediction goes far beyond immediate progress,” says von Siemens. “Artificial intelligence integration has the potential to transform the surgical care continuum, driving a shift toward more proactive and patient-centered care.
“As Caresyntax continues to innovate, the future holds tremendous promise for continued advancements, including improved predictive capabilities, broader applications and increased availability of this life-saving technology.”
The company was recently honored with the German AI Award, sponsored by Axel Springer/Bild. The award is one of the largest AI awards in Europe and recognizes outstanding achievements in the development and application of artificial intelligence across all industries. Von Siemens says the award validates the company’s progress to date in achieving its mission to make surgery smarter and safer.