How a Healthcare Organization Can Make The Most of Its Data

Healthcare is a very in-depth career avenue. Generally, the more information you have about a patient, the more likely that you have all the pieces required to save their life. However, data from hospitals is much more than the knowledge you use for patients. Insurance information, billing types, and billing codes are all tedious types of information that serve more as an afterthought when it comes to saving lives. Tasks like documenting billing codes or medical charts, prior authorization procedures, and creating care plans and progress notes are all necessary, but take time away from being directly involved with helping a patient.

In the era of modern technology, some companies have turned to AI. Around 2 in every 3 physicians are experimenting with documenting billing codes and medical charts, updating progress notes, creating care plans, and even requesting prior authorization from the insurance company. However, this does not come without downsides. If you are using generative AI, you must feed it all your patient data before it can meaningfully help your organization. Similarly, if you use a public LLM, there are privacy concerns over feeding your confidential patient data in order to get it working for your company. At the end of the day, the best equipped company to utilize your data is you. So how can you prop up your own company’s data workers for success?

The first step is making sure that the data is correct and to eliminate obsolete, incorrect, or mis-matched data. Around 30% of the entire world’s data volume is generated by the healthcare industry across diagnostic tests, hospital admissions, home care reports, electronic medical records, and filling prescriptions. With this large volume, collecting all of the data into one place can be quite a hassle for hospital staff. An average of 367 software tools are being used, which can create login fatigue for your staff. Once they are in and have collected all the data to do those jobs, an estimated 11.6 hours have already been spent.

Moreover, the large share of data makes hospitals a valuable target for bad actors trying to get their hands on data. Almost half of all companies with data silos experienced a technological breach in the past year alone, which is a number that is still rising. If you want to secure this data into a data warehouse you can go about it yourself, but that’s not without several upfront costs. Firstly, is the actual cost to build it, which is substantially high. More than just money, you must have an in-house tech team to create and then eventually manage this data. This tech team must also have a deep knowledge of SOC2 and HIPAA regulations, and spend several months building it.

Fortunately, modern technology has heralded a solution that is both secure and effective at storing your data. A data warehouse is effective at housing data for post-acute and behavioral health, as well as for healthcare vendors and payors. Along with AI agents it can help you manage all the data in the database and standardize all your data. With these, you can connect your timeclock, payroll, CRM, HER, and financial systems data tied together with AI automations.

Ultimately, data warehousing is the best way to get a handle on your data and make sure you’re deriving the proper insights from it. With per-facility pricing and volume discounts, it means that even your data warehouse can grow alongside your healthcare organization. Combine this with their managed support, heaps of integrated applications, and prebuilt AI, and it’s hard to see a reason not to take advantage of them.

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