In part 1 and part 2 of this series, we examined how AI/ML can help improve healthcare and the challenges faced by AI/ML teams in realizing the benefits respectively. In this part, we will explore how Robin and Dell can help overcome these challenges.

Telemedicine or mobile healthcare apps are unquestionably important in our daily lives, as the world is increasingly shifting to an all-digital landscape. And when you think of the current pandemic scenario when social distancing and wearing masks are the new normal, nothing seems to be safer than using mobile health apps. But are we really safe while using these apps? Well, that brings us to the concern of being safe on the internet while using mobile healthcare apps.

In part 1 of this series, we examined how AI/ML can help improve healthcare. AI/ML is an ambitious undertaking that promises to revolutionize healthcare. Getting excited is easy, but where do you start and why is it not just another empty promise? In fact, despite all these promises and futures, most AI/ML projects fail and don’t deliver. The failure rate of AI/ML projects is starting to make some wonder if this is real or hype.

Technology has accelerated changes toward information-based healthcare delivery and management. Today’s multi-disciplinary approach to delivering better healthcare outcomes coupled with advanced imaging and genetic-based customized treatment models depend on AI/ML driven information systems. At Robin.io, we believe machine learning is the life-saving technology that will transform healthcare. AI/ML challenges the traditional, reactive approach to healthcare.

Radnor, PA – April 14, 2021 – Goliath Technologies, a leader in end-user experience monitoring and troubleshooting software, announced today new software with embedded intelligence and automation that will alert IT Pros of remote worker performance issues and visualize root cause for faster resolutions. Additionally, new end user forensic and experience analytics are available to support objective IT performance benchmarking and management reporting.

Maximum patient satisfaction is achieved through an organization’s ability to provide effective and timely care. Healthcare staff realize that poor clinical care leads to dissatisfaction, frustration and ultimately, patient churn. To reduce patient churn, hospitals must focus on what matters the most—effective care team communication, collaboration and decision making. Patient loyalty and positive word of mouth ensures that an organization continues to generate revenue.