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

Read on ahip.org

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.

Read on go.beckershospitalreview.com

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.

Read on eventbrite.co.uk

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. 

Read on pghtech.org

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.

Machine Learning & AI for Healthcare, a HIMSS event, brings the healthcare ecosystem together to discuss how machine learning and artificial intelligence is improving patient care.

 

Read on himss.org

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.