You may have whiteboards in patient rooms, but does anyone really use them? https://t.co/HBlejVx6Rj @AAMCNews… https://t.co/6X2s9EK60o
@advocatehealth Did you receive my contact information? I have not heard back from you all.
@AAMCNews It does not allow me to message you. I can be reached at email@example.com
@advocatehealth lovely letter you guys show u really care about people 😂😂👍🏻 yea I feel really cared for you guys ar… https://t.co/t6GMWvZENE
@advocatehealth I was at Advocate Good Shepherd in Barrinton, IL. for an ankle break. My nurse and technician were so amazing!
@advocatehealth re So Sub, Admitting 2 nurses in surgery center were lazy, rude in Dec. Major surgery, friend didn't get wheelchair out
@KatyKingRecruit @advocatehealth ur nurses in surgery center who prepare patients for surgery are shit (NOT THE ONES IN OPERATING ROOM)
Shout out to @advocatehealth ASHU at Christ Medical Center! Thank you for taking such great care of my dad!
@advocatehealth Thank you so much for this amazing #Cubs hat! My granddaughter loves it! She thanks you as well. https://t.co/0hTRW5iRHl
@AdventistHC Your doctor's don't answer to your nurses calls. We haven't been able to get him painkillers. He has a broken hip!
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.