In an age where artificial intelligence (AI) is front and center, organizations looking to excel in the future must embrace its inevitable importance.
Hyr has partnered with Pandata, a a Cleveland-based AI design and development firm that helps companies solve their most complex business challenges with trustworthy artificial intelligence solutions. The company’s high-performance AI solutions drive business transformation while addressing privacy, fairness and transparency.
“With all the stresses on healthcare systems today and fluctuating demand and supply of providers, it's never been harder to set rates for Physicians and Advanced Practice Providers,” said Cal Al-Dhubaib, founder and CEO of Pandata. “Today this is more art than science, but we're setting out to solve this problem together.”
Learn more about Pandata and how the two companies plan to partner to make strides in the healthcare staffing industry.
Hyr: What problem does your company solve?
Cal: I started Pandata in 2016 when I kept hearing the phrase 'we have data but don't know what to do with it'. Fast forward to today, we're a group of 10 data scientists that help organizations design and develop solutions with Artificial Intelligence. We work with clients that operate in more regulated industries like healthcare, education, and energy and focus on building Trusted AI solutions that are fair, transparent, and privacy-preserving.
Hyr: What technologies are you most excited about this year?
Cal: In the past few years, the applications of machine learning and artificial intelligence involving natural language have sky-rocketed. In particular, only the biggest technology companies could afford to build tools to extract trends and intelligently automate processes that depend on audio (think call centers) and unstructured documents (patient notes, for example). The barriers to building technology that leverage unstructured text have never been lower.
Hyr: How has COVID-19 impacted innovation in your company?
Cal: It was a struggle at first. We're a group of creative thinkers and had white-boards all over our office. The shift to virtual work initially slowed down our pace, but we've learned to adapt with virtual tools. We're now fans of our virtual white boards, which have actually increased our capacity to collaborate across distances with even more diverse team members. We get to bring this same energy of collaboration to our clients!
Hyr: What is your favorite website, resource or blog for tech content/information?
Cal: When it comes to Machine Learning and AI - I subscribe to a few of favorites: Allie K Miller of - Global Head of Machine Learning BD at AWS, Cassie Kozrykov - Chief Decision Scientist at Google, and Andrew Ng - former Google Brain and Baidu, now founder of Landing AI. What I love most about these leaders is their focus on real-world applications, practical advice from the field, and avoidance of jargon.
Hyr: How can data services/AI contribute to healthcare innovation?
Cal: Let me start by defining what we mean when we say Artificial Intelligence. AI is software that excels at (1) recognizing complex patterns in data, (2) reacting meaningfully to those patterns, and (3) continues to improve and update its performance at recognition and reaction. One of the biggest misconceptions with AI is that it can fully automate jobs - this is simply not true. AI can automate *tasks* that are bottle-necks in specific processes that amplify human productivity and transform repetitive work into more fulfilling and creative tasks.
AI has an opportunity to transform just about any aspect of healthcare that is bottle-necked today by repetitive tasks. It's hard to capture a full picture of a patient's health in structured fields - many of the nuances are captured in notes, for example. This relegates a lot of quality control efforts to manual human review. AI has the promise to accelerate this process by partnering with expert humans to prioritize the right patient records for review and have dramatic impacts on cost and quality drivers like readmissions.
Hyr: How will Hyr and Pandata partner together?
Cal: This solution will allow users of the platform to more easily and accurately determine a rate when posting a new opportunity, that not only takes into consideration historic rates specific to a region and specialty, but also provides an indicator of potential supply and demand. The system will be designed to learn and adapt over time. As more providers are placed through the platform, it will continue to get better at predicting demand-adjusted rates that will attract the right providers at the right time. These results will be displayed as visualizations on the platform in real-time as a user populates the details of a new listing and will serve as useful indicators when setting a rate for a position to maximize the chance of a successful match.
Meet Cal Al-Dhubaib, founder and CEO of Pandata
Cal Al-Dhubaib is a globally recognized data scientist, entrepreneur, and innovator in trusted artificial intelligence. He is the founder and CEO of Pandata, a Cleveland-based AI design and development firm that helps companies solve their most complex business challenges with trustworthy artificial intelligence solutions. Cal’s commitment to diversity and ethics is centered at the heart of his work.
As the first data science graduate from Case Western University, Cal is no stranger to forging his own path. Since Pandata’s founding, he and his team have overseen 80+ projects with leading global brands, including Parker Hannifin, the Cleveland Museum of Art, FirstEnergy, and Penn State University. He has gone on to be featured in multiple noteworthy publications, including Forbes, Ohiox, Cleveland.com, the Marketing AI Institute, and Open Data Science. Cal has also received recognition in Crain’s Cleveland Twenty in their 20s and Notable Immigrant Leaders, and Smart Business’s Technology Awards and Smart 50 Awards. Most recently, he was named as a Cleveland 2021 Notable Entrepreneur; he is also the current president of Cleveland’s Entrepreneurs’ Organization Accelerator Program.