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 2021;52(6):1403 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;67(12):7344 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
  26. Ouyang W, Xie W, Xin Z, He H, Wen T, Peng X, Dai P, Yuan Y, Liu F, Chen Y, Luo A. Evolutionary Overview of Consumer Health Informatics: Bibliometric Study on the Web of Science from 1999 to 2019. Journal of Medical Internet Research 2021;23(9):e21974 View
  27. Turner M, Choung H, Bui Q, Beck P, Ashraf H. Reversing the Antibiotic Resistance “Yelp Effect” Through the Use of Emotionally Framed Responses to Negative Reviews of Providers: Questionnaire Study. JMIR Formative Research 2022;6(3):e26122 View
  28. Kalvesmaki A, Chapman A, Peterson K, Pugh M, Jones M, Gleason T. Analysis of a national response to a White House directive for ending veteran suicide. Health Services Research 2022;57(S1):32 View
  29. Gui L, He Y. Understanding patient reviews with minimum supervision. Artificial Intelligence in Medicine 2021;120:102160 View
  30. He L, Yin T, Zheng K. They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets. Journal of Biomedical Informatics 2022;132:104142 View
  31. Gavurova B, Dvorsky J, Popesko B. Patient Satisfaction Determinants of Inpatient Healthcare. International Journal of Environmental Research and Public Health 2021;18(21):11337 View
  32. Ojo A, Rizun N. Enabling Deeper Linguistic-Based Text Analytics—Construct Development for the Criticality of Negative Service Experience. IEEE Access 2019;7:169217 View
  33. Khanbhai M, Warren L, Symons J, Flott K, Harrison-White S, Manton D, Darzi A, Mayer E. Using natural language processing to understand, facilitate and maintain continuity in patient experience across transitions of care. International Journal of Medical Informatics 2022;157:104642 View
  34. Richman E, Kuttner N, Foster L, Bruske C, Pollock J, Brinkman J, Little M. Characterizing Single-star Negative Online Reviews of Orthopaedic Trauma Association Members. Journal of the American Academy of Orthopaedic Surgeons 2023;31(8):397 View
  35. A. Rahim A, Ibrahim M, Musa K, Chua S, Yaacob N. Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews. International Journal of Environmental Research and Public Health 2021;18(18):9912 View
  36. Hitchman K, Baumann A, Glasgow W, Rivera K, Anastasio A, Walley K, Baldwin K. An Analysis of Negative One-star Patient Reviews and Complaints for Pediatric Orthopaedic Surgeons throughout the United States: A Retrospective Study. Journal of Pediatric Orthopaedics 2024;44(2):129 View
  37. Richman E, Richman O, Lee M, Qubain L, Heylmun L, Awad M, Alfonso N. Social Media and Digital Footprints in Orthopaedic Trauma: An Analysis of 1465 Orthopaedic Trauma Association Members. Journal of Orthopaedic Trauma 2024;38(1):e36 View
  38. Anastasio A, Baumann A, Curtis D, Rogers H, Hogge C, Ryan S, Walley K, Adams S. An examination of negative one-star patient reviews for foot and ankle orthopedic surgery: A retrospective analysis. Foot and Ankle Surgery 2024;30(3):252 View
  39. Hitchman K, Anastasio A, Baumann A, Welch S, Walley K, Klifto C. Examining One-Star Reviews in Orthopaedic Hand Surgeons in Large U.S. Cities. Journal of Wrist Surgery 2024 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. View
  3. Ruiz R, Velásquez J. Artificial Intelligence and Machine Learning for Healthcare. View
  4. Mejova Y. Handbook of Computational Social Science for Policy. View
  5. Meriç E, Çakıcı Z. Transformed Communication Codes in the Mediated World. View