In a special guest feature, Vatsal Ghiya, CEO and co-founder of the Shaip shared some key strategies for creating an AI system to make sense of unstructured healthcare data.
Here are the key takeaways from the article
- There has been much potential for Artificial Intelligence to transform the healthcare industry for good reason. But, just like any other organization or platform, AI systems are fueled by data and this data is in abundance. That’s the reason, the industry lagged behind others in terms of AI adoption.
- From the nurses’ notes to physician transcripts, unstructured data is everywhere. But, developing robust algorithms capable of converting unstructured data into structured data is time-consuming and expensive. That’s why it’s important to follow the key strategies to make sense of unstructured data that comes across all your organization.
- There are three ways healthcare organizations can pave the way for more viable and impactful AI solutions. These key strategies are to increase connectivity between data points, utilize partners to annotate and label data sets and constantly progress toward perfection.
Read the full article here: