Published on in Vol 4, No 3 (2015): Jul-Sep

Collecting and Analyzing Patient Experiences of Health Care From Social Media

Collecting and Analyzing Patient Experiences of Health Care From Social Media

Collecting and Analyzing Patient Experiences of Health Care From Social Media

Journals

  1. Skrypczak A, Tressel W, Ghayour S, Khosravi R, Ramsay D. Negative online reviews of orthodontists: Content analysis of complaints posted by dissatisfied patients. American Journal of Orthodontics and Dentofacial Orthopedics 2020;158(2):237 View
  2. Zaman N, Goldberg D, Abrahams A, Essig R. Facebook Hospital Reviews: Automated Service Quality Detection and Relationships with Patient Satisfaction. Decision Sciences 2020 View
  3. Nguyen Q, Meng H, Li D, Kath S, McCullough M, Paul D, Kanokvimankul P, Nguyen T, Li F. Social media indicators of the food environment and state health outcomes. Public Health 2017;148:120 View
  4. Haskins I, Krpata D, Rosen M, Perez A, Tastaldi L, Butler R, Rosenblatt S, Prabhu A. Online Surgeon Ratings and Outcomes in Hernia Surgery: An Americas Hernia Society Quality Collaborative Analysis. Journal of the American College of Surgeons 2017;225(5):582 View
  5. Radzikowski J, Stefanidis A, Jacobsen K, Croitoru A, Crooks A, Delamater P. The Measles Vaccination Narrative in Twitter: A Quantitative Analysis. JMIR Public Health and Surveillance 2016;2(1):e1 View
  6. Beaunoyer E, Arsenault M, Lomanowska A, Guitton M. Understanding online health information: Evaluation, tools, and strategies. Patient Education and Counseling 2017;100(2):183 View
  7. Zunic A, Corcoran P, Spasic I. Sentiment Analysis in Health and Well-Being: Systematic Review. JMIR Medical Informatics 2020;8(1):e16023 View
  8. Rastegar-Mojarad M, Liu H, Nambisan P. Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study. JMIR Research Protocols 2016;5(2):e121 View
  9. Zhang W, Deng Z, Hong Z, Evans R, Ma J, Zhang H. Unhappy Patients Are Not Alike: Content Analysis of the Negative Comments from China's Good Doctor Website. Journal of Medical Internet Research 2018;20(1):e35 View
  10. Liu C, Uffenheimer M, Nasseri Y, Cohen J, Ellenhorn J. “But His Yelp Reviews Are Awful!”: Analysis of General Surgeons’ Yelp Reviews. Journal of Medical Internet Research 2019;21(4):e11646 View
  11. Powell J, Atherton H, Williams V, Mazanderani F, Dudhwala F, Woolgar S, Boylan A, Fleming J, Kirkpatrick S, Martin A, van Velthoven M, de Iongh A, Findlay D, Locock L, Ziebland S. Using online patient feedback to improve NHS services: the INQUIRE multimethod study. Health Services and Delivery Research 2019;7(38):1 View
  12. Liu J, Hou S, Evans R, Xia C, Xia W, Ma J. What Do Patients Complain About Online: A Systematic Review and Taxonomy Framework Based on Patient Centeredness. Journal of Medical Internet Research 2019;21(8):e14634 View
  13. Alvaro N, Miyao Y, Collier N. TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations. JMIR Public Health and Surveillance 2017;3(2):e24 View
  14. Kumar C, Babu L. Evolving dictionary based sentiment scoring framework for patient authored text. Evolutionary Intelligence 2021;14(2):657 View
  15. Pai R, Alathur S. Assessing mobile health applications with twitter analytics. International Journal of Medical Informatics 2018;113:72 View
  16. Xu Y, Armony M. The Effect of Online Reviews on Physician Demand: A Structural Model of Patient Choice. SSRN Electronic Journal 2016 View
  17. Salzmann-Erikson M. Virtual communication about psychiatric intensive care units: Social actor representatives claim space on Twitter. International Journal of Mental Health Nursing 2017;26(4):366 View
  18. Tran N, Lee J. Online Reviews as Health Data: Examining the Association Between Availability of Health Care Services and Patient Star Ratings Exemplified by the Yelp Academic Dataset. JMIR Public Health and Surveillance 2017;3(3):e43 View
  19. Lwin M, Lu J, Sheldenkar A, Schulz P. Strategic Uses of Facebook in Zika Outbreak Communication: Implications for the Crisis and Emergency Risk Communication Model. International Journal of Environmental Research and Public Health 2018;15(9):1974 View
  20. Hu G, Han X, Zhou H, Liu Y. Public Perception on Healthcare Services: Evidence from Social Media Platforms in China. International Journal of Environmental Research and Public Health 2019;16(7):1273 View
  21. Shakeri S. A Framework for the Interaction of Active Audiences and Influencers on Twitter: The Case of Zika Virus. Journal of Information & Knowledge Management 2020;19(04):2050032 View
  22. Walsh J, Cave J, Griffiths F. Spontaneously Generated Online Patient Experience of Modafinil: A Qualitative and NLP Analysis. Frontiers in Digital Health 2021;3 View
  23. Xu Y, Armony M, Ghose A. The Interplay Between Online Reviews and Physician Demand: An Empirical Investigation. Management Science 2021 View
  24. Khanbhai M, Anyadi P, Symons J, Flott K, Darzi A, Mayer E. Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review. BMJ Health & Care Informatics 2021;28(1):e100262 View
  25. Yang Y, Al-Garadi M, Bremer W, Zhu J, Grande D, Sarker A. Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid. Journal of Medical Internet Research 2021;23(5):e26616 View

Books/Policy Documents

  1. Wang L, Gao X, Zhou T, Liu W, Sun C. Advances in Intelligent Information Hiding and Multimedia Signal Processing. View
  2. Marisa Ferreira Gomes C, Paula Castro Amorim M, Jorge Ferreira Rodrigues M. E-Services [Working Title]. View