With 2024 wrapping up quickly, take a moment to explore a few of our top performing healthcare and life science blogs over the last year.
These healthcare trends highlight some of the biggest challenges that healthcare and life sciences organizations have faced this year, as well as the innovative solutions that industry leaders are leveraging to stay ahead of the curve.
1. Data Formats Demystified: Working with Structured, Semi-Structured, and Unstructured Data in Healthcare
Data is perhaps more varied and complex in healthcare and life science than in any other industry, and with that reality comes major challenges as organizations look to properly utilize and synergize their data.
Think of this blog as a guide to the various kinds of data that HCLS organizations are likely to deal with —from highly organized and formatted EHR and billing data, to the unstructured data of clinical notes, medical images, and patience correspondence—and how that data can be properly harnessed with the power of a centralized cloud platform like Snowflake.
2. Beyond Medicine: How AI Copilots are Revolutionizing the Healthcare Industry
AI is another common topic in the healthcare and life sciences data space, and though the constant buzz comes with inevitable fatigue, there’s good reason for excitement about the incredible potential of AI.
In this blog, we explore how AI copilots are capable of automating labor-intensive data entry, detecting insurance fraud, and optimizing supply chain management. These functions are not aspirational possibilities—they’re already being used by innovative healthcare organizations to streamline operations and free up team members to focus on the important work of patient care.
3. Snowflake Cortex Features That Will Change the Way You Work
The exciting new data functions that are made possible with Snowflake Cortex have big implications for HCLS organizations.
From revolutionizing document handling to empowering users with sophisticated data search and analysis functions, Snowflake Cortex makes it possible to reign in the sprawl of varied data that HCLS companies need to manage to produce results. These capabilities are just the latest offerings from Snowflake that demonstrate the organization’s commitment to paving the way to the future of data.
4. How to Migrate Epic Healthcare Data to Snowflake
The data challenges posed by Epic are well-known to anyone in Healthcare, but the ability for integrating Epic with a centralized data cloud platform like Snowflake has paid dividends for healthcare innovators looking to make the most out of their non-EHR data in 2024.
This blog details how non-EHR data can be migrated into Snowflake in order to improve outcomes, patient experience, efficiency, and profitability. Among other capabilities, Snowflake’s ability to facilitate a Patient 360 view is a transformative function for organizations looking to better serve patients and improve operations.
5. How Private Health Management Predicts Cancer
The power of the modern data stack doesn’t just bolster your bottom line—it helps healthcare and life science organizations like Private Health Management save lives.
This blog details the successes of Hakkoda’s collaboration with Private Health Management, which modernized the organization’s data stack to increase efficiency and scalability. By streamlining PHM’s migration process and designing data infrastructure that is built to scale, Hakkoda helped the organization harness predictive AI to fight cancer and improve patient care for those affected by acute cancer diagnoses.
Meet the Hakkōda Playbook for Building a Modern Healthcare and Life Sciences Data Stack
If you’re interested in uncovering more trends in the healthcare and life sciences data landscape, check our State of Data HCLS Report 2024 to learn more about the trends, challenges, and strategies that industry leaders focused on this year. You can also stay tuned for our 2025 State of Data report, which drops early next month.
Ready to begin your own data modernization journey with Hakkoda? Let’s talk today about how we can help your organization build the modern data stack it needs to succeed in 2025.
