Posted in #HCSM

Social Media and the Rapid Learning Healthcare System

briansmcgowan's avatar#SOCIALQI:

It is my pleasure to host the 33rd edition of the HCSM review – for those of you still unfamiliar with the model, here is a bit of a back ground:

Health Care Social Media Review is a peer-reviewed blog carnival for everyone interested in health care social media. Our mission is to serve as a hub for posts from the best and the brightest health care social media writers, thinkers, users and proponents worldwide, to contribute to better understanding and adoption of social media in health care. This carnival is intended to showcase posts about health care social media use, best practices, resources, and new social media communities and tools. We seek to spread the word that the use of social media in health care is becoming unavoidable and is of critical importance to both patients and providers worldwide.

This edition of the HCSM review will specifically focus on…

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Posted in #HCSM

Health 2.0 and Medicine 2.0: Tensions and Controversies in the Field

See on Scoop.itHealth Care Social Media Monitor

Benjamin Hughes1, MSc, MBA; Indra Joshi2, MBBS; Jonathan Wareham1, PhD 1Department of Information Systems, ESADE, Barcelona, Spain
2West Hertfordshire Hospitals NHS Trust (WHHT), Hemel Hempstead, UK

Marie Ennis-O’Connor‘s insight:

The study results show that the terms Medicine 2.0 and Health 2.0 were found to be very similar and subsume five major salient themes: (1) the participants involved (doctors, patients, etc); (2) its impact on both traditional and collaborative practices in medicine; (3) its ability to provide personalized health care; (4) its ability to promote ongoing medical education; and (5) its associated method- and tool-related issues, such as potential inaccuracy in enduser-generated content. In comparing definitions of Medicine 2.0 to eHealth, key distinctions are made by the collaborative nature of Medicine 2.0 and its emphasis on personalized health care. However, other elements such as health or medical education remain common for both categories. In addition, this emphasis on personalized health care is not a salient theme within the academic literature. Of 2405 papers originally identified as potentially relevant, we found 56 articles that were exclusively focused on Medicine 2.0 as opposed to wider eHealth discussions. Four major tensions or debates between stakeholders were found in this literature, including (1) the lack of clear Medicine 2.0 definitions, (2) tension due to the loss of control over information as perceived by doctors, (3) the safety issues of inaccurate information, and (4) ownership and privacy issues with the growing body of information created by Medicine 2.0.

See on www.jmir.org

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Can tweets predict citations?

See on Scoop.itHealth Care Social Media Monitor

J Med Internet Res. 2011 Dec 19;13(4):e123. doi: 10.2196/jmir.2012.Eysenbach G.

University Health Network, Centre for Global eHealth Innovation & Techna Institute, Toronto, ON, Canada. geysenba@uhnres.utoronto.ca

 

Marie Ennis-O’Connor‘s insight:

This study concludes that the collective intelligence of Twitter users can, within limitations, predict citations, which normally take years to accumulate.

See on www.ncbi.nlm.nih.gov

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Social media release increases dissemination of original articles in the clinical pain sciences.

See on Scoop.itHealth Care Social Media Monitor

PLoS One. 2013 Jul 17;8(7):e68914. doi: 10.1371/journal.pone.0068914. Print 2013. Allen HG, Stanton TR, Di Pietro F, Moseley GL.

Sansom Institute for Health Research, University of South Australia, Adelaide, Australia ; Neuroscience Research Australia, Sydney, Australia.

Marie Ennis-O’Connor‘s insight:

Abstract

A barrier to dissemination of research is that it depends on the end-user searching for or ‘pulling’ relevant knowledge from the literature base. Social media instead ‘pushes’ relevant knowledge straight to the end-user, via blogs and sites such as Facebook and Twitter. That social media is very effective at improving dissemination seems well accepted, but, remarkably, there is no evidence to support this claim. We aimed to quantify the impact of social media release on views and downloads of articles in the clinical pain sciences. Sixteen PLOS ONE articles were blogged and released via Facebook, Twitter, LinkedIn and ResearchBlogging.org on one of two randomly selected dates. The other date served as a control. The primary outcomes were the rate of HTML views and PDF downloads of the article, over a seven-day period. The critical result was an increase in both outcome variables in the week after the blog post and social media release. The mean ± SD rate of HTML views in the week after the social media release was 18±18 per day, whereas the rate during the other three weeks was no more than 6±3 per day. The mean ± SD rate of PDF downloads in the week after the social media release was 4±4 per day, whereas the rate during the other three weeks was less than 1±1 per day (p<0.05 for all comparisons). However, none of the recognized measures of social media reach, engagement or virality related to either outcome variable, nor to citation count one year later (p>0.3 for all). We conclude that social media release of a research article in the clinical pain sciences increases the number of people who view or download that article, but conventional social media metrics are unrelated to the effect.

See on www.ncbi.nlm.nih.gov

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Doctors who skip social media risk alienating patients

See on Scoop.itHealth Care Social Media Monitor

As more patients share information online, practices can benefit from establishing a presence and providing patients with digital communication options.

Marie Ennis-O’Connor‘s insight:

Physicians who forgo social media in their practices run the risk of falling behind patients’ growing demands for digital communication and allowing negative reviews to define their reputations, says a new research paper by HP Social Media Solutions, a digital consulting firm.

 

See on www.amednews.com

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Big Data in Healthcare: Social Media Can Help Track Disease Outbreaks, Pandemics

See on Scoop.itHealth Care Social Media Monitor

While most industries today collect data – a lot of data – the healthcare industry may take the proverbial cake when it comes to the amount of potential data to collect. Think about it: given that science had now decoded the human genome, every patient walks into the front door of a doctor’s office, clinic or hospital automatically carrying about a terabyte of data before any patient history is even taken or physical examination is begun.

Beyond the codes contained in a patient’s body or the background contained in his or her medical history, or the images that can be captured via x-rays, CT scans, PET scans and MRIs, there is a plethora of other information that can be added to the “big data” pile, according to Frank X. Speidel, MD, writing for HIT Consultant.

“Beyond clinical, physiologic metrics, we ought also to capture the data of all that affects the patient,” writes Speidel. “Much of this expanded data will be unstructured such as is present in social network data set or quantified but predicted such as weather reports and pollen counts.”

Speidel recounts the story of two college students who presented to a hospital where he once worked as an emergency physician with lesions characteristic of meningococcemia. In an era before social media, university officials had to painstakingly piece together the students’ movements and activities over the past several days in order to determine whom the students had had close personal contact with.

“Flash forward to 2013,” writes Dr. Speidel. “Given the same presentation of two college students with meningococcemia, how much improved would our care be if we had access to their Twitter and Facebook data as we sought to identify those who had close contact with the students?”

Public health officials have already begun to tap social media as an excellent tool for tracking disease outbreaks. This, of course, raises privacy issues, which are much on the nation’s mind since the revelations about the NSA’s data tracking.

“There’s a challenge here in that some of these [data] systems are tightening in terms of access,” John Brownstein, director of the computational epidemiology group at Children’s Hospital Boston and an associate professor of pediatrics at Harvard Medical School, told the NIH publication Environmental Health Perspectives. “But we are seeing a movement towards data philanthropy in that companies are looking for ways to release data for health research without risking privacy. And at the same time, government officials and institutions at all levels see the data’s value and potential.”

In the future, we might see ourselves signing waivers or addenda to our social media accounts indicating that it’s OK for health officials to mine our data for critical information in case of an outbreak or a pandemic. It’s one more element of “big data” that could ultimately be used to save lives.

See on www.healthtechzone.com