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10 FREE ANALYTICAL TOOLS TO HELP EXPAND YOUR REACH ON SOCIAL MEDIA - Social Light Media - Social Light Media --> Home Email Signup Social Light Media Where social media makes you lots of money$$ Home Email Signup Like us on Facebook! At ICHI 2013, a panel of four experts discussed the challenges and opportunities of patient-centered research by harnessing social media.
The healthcare system is currently in the process of transforming from reactive care to proactive and preventive care. Patient-centered outcome research using social media data lies at the intersection of big data and social media (Figure 4) as Dion Hinchcliffe pointed out in his blog in 2011. There are many related efforts in supporting users in accessing healthcare forums through context-specific approach or recommending other health consumers based on their influence. Recent work on analyzing social support exchange in healthcare social media platforms has identified that informational and nurturant support are two major kinds of social support provided by social media. Healthcare social media sites provide a large and timely resource for mining knowledge that may not be available in traditional platforms such as spontaneous reporting systems, electronic health databases and pharmaceutical databases.
Rebecca Chiu heads up Business Development for MedHelp, the leading online social media and mobile health platform. Simon Lin is Director of the Biomedical Informatics Research Center at Marshfield Clinic Research Foundation and he holds the Dr.
Akhil Kumar is a Professor of Information Systems at the Smeal College of Business at Penn State University. The IEEE Life Sciences Newsletter is a new initiative to bring forth interesting articles and informative interviews within the exciting field of life sciences every month. Prasanna Desikan is currently Senior Research Scientist at Division of Applied Research, Office of Clinical Excellence, Allina Health.
Ritu Khare is a Research Fellow with the National Center for Biotechnology Information at the National Institutes of Health (NIH). Jaideep Srivastava is Professor of Computer Science & Engineering at the University of Minnesota, where he directs a laboratory focusing on research in Web Mining, Social Media Analytics, and Health Analytics. Joydeep Ghosh is Joydeep Ghosh is the Schlumberger Centennial Chair Professor of Electrical and Computer Engineering at the University of Texas, Austin.
Longjian Liu, MD, PhD, MSc, FAHA, is an associate professor of Epidemiology and Biostatistics at Drexel University School of Public Health, and associate professor of medicine at Drexel University College of Medicine.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
All businesses feel the need to be visible online, more so they are concerned about visibility on online social media. Mining social media data has thus become a crucial research tool which is handling and converting huge amount data into comprehensible and configurable guide that can be used to predict patterns and arrive at solutions to a lot of problems. A lot of social media platforms are available to people world over which can be used to share, connect and make sense of the world around us. While mining social media data, researchers are analyzing how information id being diffused, how news, gossips and viruses are being spread and opinions being created, influenced and changed.
Adam Post is a Los Angeles Social Media Strategist and Founder of Bright Age Digital Creative Agency.
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They presented examples illustrating how social media data can be mined to benefit both the patient and clinical communities. Patients are taking an active role in seeking health information to get a better understanding of their health conditions and the treatments or medications they are receiving. The Biomedical Informatics Research Center at Marshfield Clinic Research Foundation is currently developing the text analytics techniques which combine statistics, natural language processing, and visualization to analyze a large volume of healthcare social media data.
Kumar and Zhao [4] have recently developed keyword and user navigation graphs as techniques to assist health consumers to identify most viewed posts and navigate from symptoms to diagnoses, and from diagnoses to treatments. Health consumers offer informational support mainly by sharing their personal experiences with each other [2] They also exchange advice and opinions, and make referrals to other information sources. Yang is an associate professor in the College of Computing and Informatics at Drexel University. She works with strategic partners to help them engage patients and personalize their services, as well as building the partner ecosystem for MedHelp's platform service.
Please subscribe to the newsletter to receive notification each month when new articles are published. She conducts health informatics research focused on data and text mining, natural language processing, information extraction, and data integration.
He is an expert in developing differentiating analytic competencies, and has previously led analytic functions in diverse companies ranging from industrial conglomerates to healthcare. Thus is it has become crucial how businesses utilize social media, and the diverse and huge volume of data it provides, in ways so as to divert and increase users towards their own products and services and building brand identity and loyalty. Data mining researchers are helping businesses develop intelligent and effective business plans by extracting and processing volumes of data such as blogs, photos, comments, videos and geo tags to understand user behavior and preferences.

Millions of users are sharing information through sites like Facebook, Myspace, Twitter, Linkedin, Tumblr, Instagram, Flickr, Youtube, Blog Sites, and Wikis etc to reach out to others around the world. The practice is also giving rise to debates about user’s privacy, security and trust issues. They also want to be alerted to the latest developments in global health issues such as flu outbreaks or new vaccines. Actonnect (Figure 5), a collaborative effort among Marshfield, Drexel, and a few other institutions, is a web-based search engine and interface that aims to enable patients, clinicians, researchers, and others to conduct searches of health information gleaned from dozens of patient forums and social media sites and share their results graphically. Tang and Yang [5] developed a ranking algorithm to rank the user influence by combing content-based and network-based approaches. To provide nurturant support, health consumers encourage their support recipients to express their feelings and emotions, and empathize with them [1]. If we can harness this information using social media analytics and big data analytics, it will benefit both the patient and clinical communities. Dr Lin received an MD degree in Medical Informatics at the School of Medicine, Peking University, Peking. In August 1991, he joined the Department of Electrical and Computer Engineering at Texas A&M University where he is currently the J. She earned her Doctorate in Information Science in 2011 from the iSchool at Drexel University, in collaboration with the Drexel University College of Medicine. Liu's main research covers cardiovascular disease and diabetes prevention, and the usage of hospital electronic medical records to monitor and predict disease risk and outcomes. His research combines sensing systems with pattern recognition and machine learning, to obtain adaptive and power-efficient systems.
Vast amount of content if being generated on social media sites every hour and this is only likely to grow since the access to internet and mobile based technology is increasing.
Individuals and even organisations are being increasingly put under the risk of exposing themselves too much, which may make them vulnerable to attacks.
Patients often go online to search for authoritative information or to communicate with peers who have similar health conditions. Actonnect's conceptual model has recently won the first place award in the Patient-Research Matching Challenge organized by the Patient-Centered Outcomes Research Institute.
Patients also use social media to connect to other patients who have similar health conditions and maintain a network with them. They found that association mining techniques can effectively identify adverse drug reactions and the temporal analysis shows that the signals can be detected years before the FDA alerts are announced. Such patient-centered research can help transform healthcare by shifting its focuses towards more proactive and preventive care. Zhao, "Making sense of a healthcare forum - Smart keyword and user navigation graphs", International Conference on Information Systems, Milan, Italy, December 2013 (forthcoming). His recent research interests include healthcare informatics, social intelligence and technology, Web search and mining, knowledge management, and information visualization. His research interests are in healthcare IT, business process management systems, process mining and web services. He is the author, co-author or editor of more than 18 books and over 500 articles or chapters. His research interests are middleware approaches and applications for on-body and ambient sensor networks. So it becomes imperative for individuals and organisations to take note of this massive data. There’s no shortage of tools that will tell you various parts of the story, from who is mentioning you and where, to what hashtags mean and how to best to use them. Social media plays an important role in empowering patients to acquire healthcare knowledge.
It is also shown that user interaction patterns vary depending on whether health consumers interact through a public page (e.g. However, understanding the expressions of health consumers is a great challenge in employing social media data. Yang, "Interaction Patterns of Nurturant Support Exchanged in Online Health Social Networking," Journal of Medical Internet Research, vol. Yang, "Informational Support Exchanges on Different Computer-Mediated Communication Formats in a Social Media Community of Alcoholism," Journal of the American Society for Information Science and Technology, to appear.
Yang, "Using Co-occurrence Analysis to Expand Consumer Health Vocabularies from Social Media Data," Proceedings of IEEE International Conference on Healthcare Informatics, Philadelphia, PA, September 8 - 11, 2013. Yang, "Harnessing Social Media for Drug-Drug Interactions Detection," Proceedings of IEEE International Conference on Healthcare Informatics, Philadelphia, PA, September 8 - 11, 2013. Mining social media data should concentrate on not only how users are using and responding to products, services and technology but how they are responding to people, to organisations, and to significant events.
Nevertheless advantages of mining social media data are plenty, and are being utilized in designing business models, political campaign, brand networking and initiating viral marketing, trend analyses and prediction of sales.

The latest sensor and mobile technologies also enable patients to track their health conditions ubiquitously. Unlike health professionals, most health consumers are not medically trained, and therefore, they use their own language to express their symptoms and health conditions. Also what kinds of sources are they referring to, what influences their actions and what are they recommending to their networks and methods of their experiences can be improved. In the IEEE International Conference on Healthcare Informatics 2013, four panel speakers from Drexel University, MedHelp, Marshfield Clinic Research Foundation, and Pennsylvania State University have discussed the challenges and opportunities of patient-centered research by harnessing social media. Unger, "A Study of Social Interactions in Online Health Communities," Proceedings of IEEE International Conference on Social Computing, Boston, MA, October 9 - 11, 2011. Zhang, "Social Media Mining for Drug Safety Signal Detection," Proceedings of ACM CIKM International Workshop on Smart Health and Wellbeing, Maui, Hawaii, October 29, 2012. His areas of interest include adaptive control, robust control, PID control and Genomic Signal Processing. Riffle Riffle is a free Chrome extension that’s compatible with 16 other Twitter platforms like Hootsuite or TweetDeck.
Healthcare requires privacy and anonymity, making traditional social media sites such as Facebook and Twitter inadequate in sharing health data or personal health experiences.
As a result, simply applying natural language processing and professional health ontologies will not achieve good performance. On the other hand, MedHelp has powered social media discussions and data sharing for health conditions in a private and protected manner since 1994. MedHelp has 13 million active monthly users, over 200 active condition-specific communities, and 6 million mobile app downloads. MedHelp also provides expert forums for the health professionals to answer the questions from health consumers directly. Yang and Yang [8] have also recently extended the association mining techniques to detect drug-drug interactions. Users can enter their handles, and My Top Tweet shows which tweets have been tweeted the most out of the past 3,200 on the account. The content in MedHelp covers healthcare articles, newsletters, slideshows, quizzes, community forums and expert blogs. In addition, MedHelp provides a data platform for consumers to gather data from mobile apps, web apps, and health devices (Figure 3).
Such enormous volume of content and data not only enable patients in acquiring knowledge beyond what they can obtain through traditional channels but also generate valuable and timely resources for patient-centered research.
There’s also a premium version of SocialRank that comes with more features, like additional filters.
Patients can compare their data with other patients as well as aggregated benchmark data to gain insights. MedHelp is currently deploying the social and mobile platform for its partners so that these healthcare partners can collect patient data, personalize their communication and services, and reward healthy behaviors. The free account comes with 12 platform metrics, and the Pro account comes with 36, including some of the more desirable and commonly-used platforms like Facebook and Pinterest. Users can also see which other users they reply to most often, who is or is not following back, and a breakdown of the most commonly used hashtags.
The premium version lets users export Excel and PDF documents of analytics reports, set custom date ranges for analyses, and obtain advanced search analytics. Simply Measured Simply Measured offers several free, platform-specific tools for social media analytics. For example, if you use the Twitter tool, you’d get a report back with an audience summary, follower distribution, top keywords in audience profiles, Klout scores, and other location-based information. Social Mention Social Mention is good for a quick glimpse of how people are talking about your brand online. You can type in your brand name and get information about the last time it was mentioned and where. The service provides percentages detailing reach, passion, sentiment, and strength, as well as top keywords used. The free version’s features mainly just include follower management, but higher tiers offer more in-depth analytics and information on engagement, as well as the ability to monitor competitors, hashtags, URLs, and other items. TweetReach The free version of TweetReach shows a limited number of the most recent tweets, but that information will give you a quick snapshot of how many Twitter accounts you’ve reached, your number of impressions (when a tweet is delivered to the newsfeed of an account, but not necessarily read), and who your top contributors are. SumAll SumAll pulls together multiple social media accounts, such as Twitter and Facebook, along with other things like Facebook ads, Google and Bing ads, and email clients so you can manage them from one spot. This content will be shown after all post Related Posts7 QUICK AND FREE WAYS TO BOOST YOUR ENGAGEMENT.

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