<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-04-28 12:00:10, UPMCPhysicianEd from company upmc tweeted. The tweet was "Right now at #PAS2019, a workshop is underway featuring three <mention> titled “Driving Outcomes Improvement in Clinical Quality &amp; Patient Care Operations Using Clinical Effectiveness Data: A Blueprint.”  <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-05-13 07:03:01, PfizerEUPolicy handle of company pfizer tweeted. The tweet was ""While our #health systems are awash with process data...we don’t have the standardized and comparable outcomes #data to sufficiently analyse what all these interventions actually bring in terms of benefits to #patients" - <mention> of <mention> <hyperlink> #EUhealth <hyperlink>". This tweet got 7 number of likes. 
2. On 2018-04-17 19:00:29, lanebryant handle of company lane bryant tweeted. The tweet was "Fact: <mention> treats patients from 50 states and 52 different countries. Help us support their groundbreaking research and donate today! <hyperlink> <hyperlink>". This tweet got 8 number of likes. 
3. On 2019-11-29 15:05:01, CiscoCanada handle of company cisco tweeted. The tweet was "The backbone of improved clinical experiences and secure systems is your tech infrastructure - is yours ready for tomorrow? Join us Dec 3 to learn about <mention> #INFRAM and how it can assess your infrastructure and help close gaps. #healthIT <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
