@jennpozner I am so sorry you are going through this. @MountSinaiNYC can, should, MUST do better by its patients. T… https://t.co/Sdb5WJZqCx
Just had a call from @UCLAHealth asking me to pay for my portion of an upcoming surgery IN ADVANCE and over the pho… https://t.co/FCTvEcet2S
Right out of open heart surgery and straight to his phone. Only this generation @MayoClinic. You guys are the best. https://t.co/NINJqZr4lY
The hospital my brother went to days before he died just mailed him a thank you card for choosing their hospital fo… https://t.co/vBzcjWSglP
I’m in ER at @PennMedicine ; they are refusing me Valium for anxiety because I have a history of Valium & anxiety :… https://t.co/KIX1JWOd24
@DartmouthHitch Saved my life when I had flesh eating bacteria. Thank you.
We are hiring for experienced OR nurses to work at our @KUHospital Indian Creek campus in Overland Park, KS. Limite… https://t.co/vU56Wjgc3N
Had a chat w/ @teresadu4 about my eye. Thanks to @YNHH ophthalmology for the care🙏🏼 https://t.co/FPUDGq6Zfh
We are waiting to hear from you @BostonChildrens Thanks!! #SavePriyanshu
I got my chemotherapy port inserted today and I can no longer play contact sports like hockey, so I’m really down a… https://t.co/1l3QObjIWb
CrowdClinical is a site administered by HealthMap. We believe that the public should pay attention to what other people are tweeting about and posting on social media about the quality of healthcare they receive. CrowdClinical.com is a free dashboard that collects, aggregates and summarizes this information for a public audience in real-time. CrowdClincal should be considered to complement data from traditional reporting platforms.
In a recent BMJ publication, we have shown that Tweets describing patient experiences in hospitals cover a wide range of patient care aspects and can be identified using automated approaches. Moreover, hospital sentiment derived from these tweets correlates to established outcome metrics (e.g., 30-day hospital readmission rates). This novel data stream represents a potentially untapped indicator of quality, and may be valuable to patients, researchers, policy makers and hospital administrators.
CrowdClinical builds on the tools discussed in our BMJ publication, and uses a combination of supervised machine learning, natural language processing and manual curation to systematically identify and rate (e.g., determine sentiment) tweets discussing a patient's experience receiving health care. CrowdClinical began monitoring tweets on February 22, 2015 and continues to track patient experience discussion in real-time.
We take the security and confidentiality of your information seriously. We collect personal information such as, but not limited to, your Internet Protocol address. We reserve the right to use this information internally, including but not limited to research purposes, quality assurance purposes, but we will not sell, share, rent, or otherwise reveal this information to any third party except as required by law, or to address issues of noncompliance. We may share aggregate data with third parties in a manner that will not identify you.