EMERSE utilizes the blazingly fast, open-source
Solr search engine. This allows for iterative search refinements in real-time.
In 2019 a test was conducted to compare the response time of EMERSE in identifying a cohort of patients (unique patient count) compared to
the response time of querying the Epic Clarity database running on Oracle. Results are below.
| Query |
Epic Clarity time |
EMERSE Solr time |
EMERSE "speed boost" |
| hyperten* |
4.1 hrs |
5 sec |
2,900x |
| cavernous hemangioma |
4.1 hrs |
2 sec |
7,320x |
| gray platelet syndrome |
4.2 hrs |
2 sec |
7,470x |
| inferior lingular segment of the left upper lobe |
4.9 hrs |
9 sec |
1,980x |
* This was a wildcard search (the * represents a wildcard).
Note: A "proper" Clarity search has to concatenate rows for words/phrases split between database rows and would likely take longer than the estimates shown above.