Getting your data house in order with an enterprise strategy and data platform is critical for what is to come in the next transformational decade. If you are ahead of the curve with the upcoming trends you can prepare for the future.
Let’s see what themes that have been driving our conversations over the past ten years:
- In 2009, there was the passage of the American Recovery and Reinvestment Act which incented the adoption of electronic health record systems
- Population health and care management gained momentum; organizations are working out how to reduce costs by segmenting their populations into groups and managing their care more proactively
- Value based care models are on the increase after a slow start; financial, organizational culture, and data challenges abound as obstacles to a successful shift
- Increased merger and acquisition activity leading to additional data sharing challenges
In years to come, we should expect:
- Providers using claims data and payers using clinical data to give more context to the patient journey
- Patients taking control of their own data through interoperability, user generated data, and apps
- Care models drifting to non-traditional players like CVS, Walmart, and even Amazon
- An explosion of interest in the advanced use of data through predictive, machine learning, and artificial intelligence technologies
- Digitalization of healthcare organizations encompassing advanced uses of data and tailored patient experiences supported by digital technologies and personalized medicine
So when you mix in the current challenges with what we can expect moving forward, it’s clear that healthcare organizations have a lot of on their collective plates. One of the common threads in the collection of industry shifts, technologies, and initiatives is that their success depends on the usage of data. The industry had hoped that a move to a large consolidated EHR platform would alleviate data problems caused by silos. In reality the scope of the problem is wider and more complex than any EHR vendor can take on.
Healthcare organizations need to consider how they will organize and leverage data not just for an individual need like population health, but across all the enterprise needs now and moving forward. An enterprise healthcare platform needs to be able to:
- Onboard data rapidly while limiting the need for IT resources
- Master multiple domains of data including patient, provider, practice, workforce, and facility member
- Organize data around a centralized model that supports the data stewardship needed to keep data cleansed and accurate
- Harmonize data with the millions of codes and value sets in healthcare
- Manage hundreds of complex metrics that healthcare organizations must execute against
- Prepare cleansed and curated data for analytical and other downstream uses
Healthcare organizations are going to need good, clean data to show they have the ability to deliver low cost, high quality care. The dependency on cleansed, curated data remains a challenge for the majority of healthcare organizations. The rewards will be great for the healthcare organizations willing to make investments in data. The organizations that don’t will find themselves falling behind to new models of care delivery as the digital winners increase their scale.
We’re ready to help those that want to meet the digital future with our healthcare data management platform Omni-Healthdata.
Let’s go on a data journey together!