We are in the midst of a digital revolution in healthcare. With the explosion of information collected in every facet of our lives, data has been heralded as the “new oil” that will fuel the 21st century. It is also the source that fuels all of us: humans are being digitized for our electronic health records (EHRs), genetic sequences, the number of steps we take each day, our social media likes, and online buying habits. Our daily lives generate millions of data points representing discrete moments that have the potential to be stitched together to power artificial intelligence algorithms, inform medical decisions at the point of care, influence patient behavior, drive better outcomes, and predict and mitigate disease progression.
Clinical data, in particular, is a tremendous resource capable of advancing healthcare’s digital revolution. However, the industry at large continues to be challenged by effectively deploying clinical data at scale. What is the potential of clinical data, and how can its full potential be unlocked to be more effectively leveraged as an asset?
Clinical data sourced from EHRs, labs, and health information exchanges (HIEs) contains rich details on an individual’s health journey—including vital signs, test results, diagnoses, immunizations, and more—that are not present in other data sources. These health facts are documented in real-time, at the point of care. When doctors, underwriters, medical reviewers, and care coordinators get a timely and full picture of a person’s health, they make better decisions.
When patients have access to this data, it encourages active participation, health literacy and empowers them to better drive their own care. Better decisions and increased patient empowerment mean reduced costs and less exposure to financial risk as well as better clinical outcomes and consumer experience. Operationalizing the insights found in clinical data has the potential to keep us healthier and make the business of healthcare more efficient, less wasteful, and less costly. But doing so is easier said than done. It can be a substantial challenge and investment to not only acquire and store clinical data, but to transform and standardize clinical data at scale to tap into its potential.
Here’s the reality: clinical data in its raw, native form is not ready for prime time. Diameter Health has been in the business of standardizing and enriching clinical data for nearly a decade. We support some of the largest HIEs and national payer organizations across the country and have processed clinical data for more than one-third of the US population. Our clinical informatics team conducts data quality analyses as part of our deployments, including annual real-world data audits, and they routinely find that upwards of 50% of source clinical data cannot be used in its raw native form to achieve the potential described above.
A variety of factors contribute to data cacophony:
- Competing standards (local versus proprietary versus national versus international; FHIR versus C-CDA).
- Inconsistencies in how information is documented in EHR systems and labs.
- Challenges to data collection at the point of care leading to data gaps; and
- Data fragmentation (the average Medicare patient sees 11 providers across 5 sites of care, and no one is privy to the whole story).
Diameter Health’s real-time automated data transformation technology has demonstrated that the challenges around data inconsistencies and fragmentation can be overcome. We are partnering with leading health solution vendors, national payers, HIEs, government entitles, and life insurers to turn their clinical data into an asset that can be deployed across the enterprise at scale.
Read our Insight Brief “The Potential of Clinical Data” to learn more about the potential of clinical data to drive significant change in the healthcare industry, the inherent challenges to effectively leveraging clinical data, and the power of upcycling clinical data to unlock and drive insight generation at scale.
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