@VHC_Hospital You erroneously filed claim for my visit. No response back from billing, admin or advocacy folks despite my repeated requests.
@ClevelandClinic is about as bad as the VA and maybe even worse with long wait lines. They just don't get published about waiting times.
Getting my annual #mammogram ! Remember to schedule all of your routine screening @nyphospital @ColumbiaMed https://t.co/SlKb5PuCuI
@VHC_Hospital You erroneously filed claim for my visit. No response back from billing, admin or advocacy folks despite my repeated attempts.
@ChildrensLA @SumerSloan @katyperry My daughter was just there for surgery. What a wonderful place…
@nyphospital attitudes how ER nurses deal with the patients. Horrible just bicker fuss abt things that as a patient you shld not know about.
@nyphospital how do you have the best doctors and the worst ER. The ER is the 1st impression of the service you will recieve. Epic fail.
@nyphospital this by far is the worst emergency room in NYC I'm being kept in a storage area an I'm suppose to believe it's a ward.
Thanks for an amazing Birth class tonight @CedarsSinai, feeling (a little) less anxious after tonight #CedarsBabies
Great experience @ctchildrens tonight. Got my 3yo in & out w/stitches in less than 2 hrs with no tears except for when it was time to leave
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.