Author: Ted Healey, VP of Engineering, Kontakt.io
Today, healthcare systems are facing serious headwinds. Patients are unhappy with their care, and staff and nurses are overworked, underpaid, and often in harm’s way. Plus, profits are trending in the wrong direction.
It’s critical that healthcare leadership leverage technology, data, and analytics to best understand where they stand, and what actions to take to improve their business and patient care.
To accomplish this, healthcare systems should take note of many other industries that have built and benefited from a data lakehouse.
A data lakehouse leverages modern tools to aggregate data from all enterprise sources into a single location, on an ongoing, real-time, or near real-time basis, so that any data is available (with security and permissions, of course) for any kind of analysis today and in the future.
In the past, data has been siloed in databases and applications that served a single purpose, typically for the benefit of one team or group within the organization. For example, information about the structure or facilities of a hospital or division of hospitals would be stored, managed, and utilized by one group overseeing real estate and facilities management, while staff data is managed and stored in an HR database.
If you wanted to study commute times for your nurses in the Chicago metropolitan area where we have three hospitals, you can’t just get straight to the analysis. Instead, you need to determine what data to get from which database, extract it, and make it available for this single purpose. For example, staff addresses can come from your HR system, and building addresses from facilities data. But once you do this, the data becomes stale and useless for any other purpose.
Hospitals and healthcare facilities generate tremendous amounts of data in various categories including:
It has never been easier or more economical to aggregate this data into a data lakehouse. With a unified data lakehouse, healthcare systems can better understand clinical outcomes, operational efficiency, patient satisfaction, and more using advanced analytics across multiple data sources. Steps to accomplish this and utilize the full potential of your data include:
As new data sources emerge, like IoT sensor data, they can easily be incorporated into the existing data lakehouse infrastructure. By using these techniques, a healthcare company can progress along a maturity curve:
Unlocking enterprise data and making it easy to access and analyze in an integrated fashion enables any healthcare company to run much more efficiently. Real-time location data for people and assets combined with other data sources can improve the lives and day-to-day workflows of patients, staff, and the administration, all at once.
Kontakt.io’s data lakehouse technology provides health systems with a unified platform for data storage, processing, and analytics, making it easier to derive insights from operating data. You can scale your data infrastructure on-demand, transcend data silos or vendor lock-ins, reduce data management costs, and eventually improve time-to-insight with a single source of truth.
To explore how your health system can benefit from our data lakehouse, contact us today.
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