New Rev Cycle Trends Gathered From Encounter Data in 2020

After studying a year's worth of encounter data, we've uncovered several revenue cycle productivity and outcomes trends. This infographic gives a snapshot of what the data uncovered:

The average EPH for White Plume clients was 167 in 2020. EPH stands for Encounters per Hour, and it is a key metric that measures coder productivity. The national average for EPH is 21, meaning the average coder can review 21 encounters in an hour. The average White Plume client is 7.9x more productive than the national average in Encounters per Hour, and 93% of clients were outperforming the national average in 2020.

Another critical metric that we began monitoring in 2020 was Net Revenue Leakage per Encounter. This is the amount of potential missed revenue that coders are catching behind their doctors.

1. The average White Plume client found $1.66 per encounter, while still achieving peak productivity performance.
2. For a 20 doctor practice, this results in $207,168 annual revenue leakage savings.
3. The White Glove annual time savings is, on average, $164,720 for a 20 doctor practice.
4. Annual time savings plus annual revenue leakage savings for a 20 doctor practice results in a total of $371,888 per year.

Finally, here are 6 White Plume coding trends from 2020:

1. 35.18% of all encounters were clean and required no coding changes.
2. 12.37% of encounters had fully automated corrections made to them.
3. 13.67% of encounters had semi-automated corrections made to them (meaning while some changes were automated, there were also changes made by the coder/biller.)
4. 16.09% of encounters were flagged to be changed by a coder/biller.
5. 15.56% of encounters flagged a coder/biller but did not actually require a change (this means rule-hygiene is needed.)
6. 8.14% of encounters had unprompted corrections, which means that the coder or biller stopped on an encounter that was not flagged by the system and made changes.

From these statistics, we learn that over half of all encounters are either clean, automated, or partially automated. This is great news from a productivity perspective. We hope to help clients move more encounters out of the unprompted corrections bucket and into the automated, semi-automated, or biller/coder corrected buckets.

This data paints a picture of clients who are growing in productivity year over year, while realizing great results in their revenue leakage avoidance and other rev cycle KPIs. In 2021, we expect to see these trends continue for our clients and for new clients to come.