The healthcare business, like many others, has learned vital lessons from the crisis. The healthcare sector is built on technology. Hospitals formerly plagued by various legacy systems were able to simplify and standardize their healthcare systems because of digitalization in the healthcare business. Healthcare organizations and millennial patients can save money and enhance the quality of healthcare by doing so, all while utilizing cutting-edge technology. Conventional analytics and clinical decision-making methodologies have considerable disadvantages when compared to AI & machine learning. On the other hand, the use of artificial intelligence and machine learning in healthcare has a lot of benefits and is simple to achieve by healthcare businesses.
Know anyone building innovative solutions that belong in this 'AI & Machine Learning'?
Managing fraud, waste, and abuse (FWA) is a hot topic across the health care industry. As a major driver of costs, and with the recent guidance issued by the Centers for Medicare & Medicaid Services (CMS), health care organizations must evaluate and prioritize a solution. Many organizations are leveraging artificial intelligence and machine learning (AI/ML) as a part of the solution, and when executed correctly, are able to adapt quickly to other healthcare business use cases. In this webinar, experts will share considerations in building a solution to detect and correct FWA from concept to production.
Attendees Will Learn About
Fully leveraging data as an asset in the organization
Applying AI-powered, actionable insights to uncover and investigate suspicious activity
Predicting scenarios that are likely to result in FWA and providing specific oversights to minimize cost
Scaling and automating AI/ML workloads
The value of an open-source approach: Building a cloud-native, reusable platform for AI/ML workloads
In many healthcare organizations, the experience of managing through COVID-19 uncertainty has been a catalyst to reevaluate current planning tools and processes to improve planning efficiency and agility. In this session, we’ll highlight the planning trends that have emerged in our industry and examine what modern planning looks like in industries outside of healthcare to project what our future might look like.
A part of this forward-looking session will also explore how data science is evolving and becoming more integrated into planning tools and processes through machine learning and more predictive analytics.
Technology will be at the very heart of the new patient centric future for personal health and wellbeing, with existing healthcare systems having to radically change.
The Digital Health Technology Show returns to The Business Design Centre in London , bringing together global innovators in digital health, to showcase the very latest technologies disrupting traditional healthcare provision across the world.
Situated alongside other disruptive technology shows - The Wearable Technology Show & AVR360 Show - the event attracts more than 4,000 delegates. 5G, AI, machine learning and predictive medicine will all be covered in the two-day conference programme, featuring thought leaders, innovators and senior executives from across the globe.
Data Analytics, Artificial Intelligence, and Machine Learning are empowering businesses, solving tough challenges, and have the potential to make life easier and more productive for us all. C-level executives in a variety of industries are using these technologies to make better business decisions and to serve their customers better and more efficiently. However, navigating through the hype and the magnitude of data may be a challenge.
Beyond Big Data is a unique opportunity for managers on every level to learn more about the opportunities of these technologies while connecting with others in the industry. With a focus on trends and best practices, the event aims to explore strategies, best practices and technologies surrounding data analysis, artificial intelligence and machine learning while keeping in mind the implications of regulations, privacy, data protection, and ethics that govern this field.
In his March HIMSS22 session entitled " Using Explainable AI to Mitigate SDOH Contributors to Risk," Dr. Jim Walton, president and CEO of Genesis Physicians Group, will describe how his organization, …
Recently the FDA, Health Canada, and the United Kingdom’s Medicines and Healthcare products Regulatory Agency (MHRA), released their “Guiding Principles for Good Machine Learning Practice” to help the …
This two-day conference will continue to look beyond the hype to get to the bottom of the real applications of AI & ML in healthcare. It will also explore how clinicians and industry alike can leverage these emerging technologies to drive efficiencies, unlock opportunities for discovery and detection, enable greater accuracy, and improve health outcomes.
The conference contains significant international experts, professor, specialists, research scholars, and Student Delegates and Exhibitors form all over the world to our congress with the theme “Deploying the knowledge on AI and robotics on the edge’’. Conference will be featuring oral presentations, poster presentations, keynote talks, workshops and many more.
The Oklahoma changemakers have devised a system for using artificial intelligence to visualize superimposed and anatomically aligned 3D CT scan data during surgery.
A University of Oklahoma researcher …
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