In order to stay current, standardized code systems provide routine updates and adjustments. Some are annual, others occur multiple times a year, and then – as the pandemic aptly demonstrated – there is the need for off-cycle additions. It’s a lot to keep up with, but we’re here to help.
In a year so dominated by the pandemic, it’s hard to imagine that anyone read or thought of anything else – but the data says otherwise. Discover the IMO stories, webinars, and downloads that kept your peers clicking.
Earlier this year, IMO and HIMSS collaborated on a survey about the quality of patient data and how it can be harnessed to better inform clinical and financial decision-making in healthcare. Find out how the results led to some noodling on the nature of inputs and outputs in our latest blog.
Hear from top coding professionals, June Bronnert, MSHI, RHIA, CCS, CCS-P, and Shelly Jude, RHIA, RHIT, HIT, as they highlight the most important things you need to know about this year’s changes so your team can continue to provide care as intended.
Although it’s hard to believe, Halloween is almost here. And, no matter what creepy encounter All Hallows Eve brings your way, you can bet that there’s an ICD-10-CM code for that.
It’s been quite a year for clinical terminology, with the need for new medical coding terms never seeming to stop. Whether clinicians are documenting complexities related to COVID-19 or describing electric scooter mishaps, the latest updates to ICD-10-CM are here to help. Below, we take a look at five interesting changes to the standardized coding system that went into effect on the first of October.
In the US, structured clinical terminology is integrated into most electronic health records. However, across the pond there is no standard clinical terminology that is widely being used for documentation. This means clinicians must often go directly to code sets such as ICD-10 or SNOMED®* to document clinical encounters. IMO’s Senior Vice President of Global Clinical Services, Steven Rube, MD, takes a look at the reasons for this difference in the capture of patient data from a clinical informatics perspective.
Since medical records are electronic, it’s easy to think that patient data is naturally compatible and easy to aggregate for analytic purposes. But, that’s not necessarily the case. In fact, many health information exchanges that collect this information struggle to maximize the insights they get from the records. That’s where normalization services can help.
Hierarchical Condition Categories (HCCs) aren’t a new concept, but as more and more organizations shift to value-based care, there has been renewed issue in the subject. And it makes sense – without solid foundational knowledge of HCCs, health systems risk lower rates of reimbursement, or sometimes not getting paid at all.
The ability to help or learn from specific patient cohorts is contingent upon being able to accurately identify them. Value sets are the tool of choice for this task, but as a recent HIMSS-IMO survey has revealed, the vast majority of respondents find them challenging to define and maintain.