Hak-Kim
Byung-Hak (HaK) Kim
July 12, 2022

The Gist

It’s one thing to talk about what your automation, AI, or other technology can do. But, it’s another thing entirely to put it into action and demonstrate its value. At AKASA, we believe in a research-first approach, which prevents us from putting the cart before the horse and forces us to ground our claims in reality. Let’s see what this looks like in action.

There’s a lot of buzz around AI in human health and healthcare, and many companies often overhype what their technology can actually do. It’s a lot harder to conduct research to validate what the algorithms can do and be transparent about exactly how they work.

AKASA’s research-first approach challenges others in the industry to be more transparent about how their solutions provide ROI to healthcare’s back office. Through our research, we’ve shown how our technology can help eliminate onerous tasks that contribute to burnout and bloated healthcare spending.

Collaborative Research for a Greater Good

Today, we’re excited to announce AKASA is collaborating with the world-renowned Cleveland Clinic to study how AI and machine learning (ML) can improve workflows, specifically examining how to develop new ML-based AI algorithms for cardiac MRI imaging.

COVID-19 created undue stress and intense work scenarios that overburdened the healthcare workforce. Employee burnout increases the likelihood of errors, which in healthcare ultimately compromises the patient experience.

Compounding this issue, physicians are already short on time — receiving dozens of imaging reports per day.

With these challenges, the team is looking into how well-designed AI- and ML-powered automation can assist current workflows to help alleviate the burden of physicians, ultimately aiming to reduce diagnostic errors and stave off burnout.

The reduction of “information overload” on physicians can help them better steer their time and focus more on patients.

Hak-Kim
WRITTEN BY
Byung-Hak (HaK) Kim

Byung-Hak (HaK) Kim is an AI technology lead at AKASA, directing AKASA’s research efforts on AI for human health and healthcare. Prior to AKASA, Kim worked as a staff AI research scientist at Udacity and an ML research scientist at Capio (acquired by Twillio). He has been passionate about positively impacting society by creating AI and machine learning technologies, with an emphasis on real-world applications in the areas of healthcare, education, and speech. Kim has presented research at top AI conferences, including MLHC, ICML, and ICLR, and served on the program committees for several ML conferences and workshops with a healthcare focus. Kim received his PhD in electrical and computer engineering at Texas A&M University and his BS and MS in electrical engineering at Korea University.

Form-Logo

Get our monthly newsletter

You may also like

Blog Resource
Jan 26, 2023

9 Healthcare Technology Trends To Watch in 2023

Keeping track of the rapid changes in healthcare technology is no small task. The industry has seen numerous healthcare...

Blog Resource
Nov 29, 2022

The Gradient Podcast: An Interview on AI and Healthcare With AKASA CTO and Co-Founder Varun Ganapathi

On a recent episode of the Gradient Podcast, host Daniel Bashir sat down with AKASA CTO and co-founder, Varun...

Blog Machine Learning in Medicine: Using AI to Predict Optimal Treatments Hero Image
Aug 30, 2022

Machine Learning in Medicine: Using AI to Predict Optimal Treatments

At AKASA, we’re always thinking about how we can use machine learning (ML) and artificial intelligence (AI) to better...

Blog Reaffirming Our Commitment to Data Security and Privacy Hero Image
Aug 29, 2022

Reaffirming Our Commitment to Data Security and Privacy

Data plays a vital role in our work at AKASA — without it, we wouldn’t be able to provide...

Blog Machine learning in emr hero image
Aug 25, 2022

Mining Electronic Medical Records for Cancer Treatment Decisions

At AKASA, we are constantly exploring the intersection of machine learning (ML), artificial intelligence (AI), and the healthcare and...

Blog Resource
Aug 2, 2022

Senior Software Engineer Armaghan Behlum on Why He Joined AKASA

It’s been nearly one year since I left Verily, an Alphabet company focused on using advanced technology to improve...

Blog Resource
Jul 12, 2022

Leading With a Research-First Approach

There’s a lot of buzz around AI in human health and healthcare, and many companies often overhype what their...

Blog Resource
Jun 23, 2022

What the AKASA Engineering Team Looks for When Hiring

Engineering is critical to what we do at AKASA. Without it, we’d have grand ideas on automating and improving...

Find out how AKASA's AI-driven automation can help you.