Published on in Vol 3, No 2 (2015): April-June

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

Journals

  1. Miller A. Text Mining Digital Humanities Projects: Assessing Content Analysis Capabilities of Voyant Tools. Journal of Web Librarianship 2018;12(3):169 View
  2. Saini M, Belson S, Lahiff-Jenkins C, Sandercock P. Top 10 global educational topics in stroke: A survey by the World Stroke Organization. International Journal of Stroke 2019;14(8):843 View
  3. Salazar-López M, Vanin A, Cazella S, Levandowski D. Consequências na alimentação de crianças órfãs após a morte materna: uma investigação por meio de softwares de mineração de texto. Cadernos de Saúde Pública 2020;36(3) View
  4. Pérez S, Laperrière V, Borderon M, Padilla C, Maignant G, Oliveau S. Evolution of research in health geographics through the International Journal of Health Geographics (2002–2015). International Journal of Health Geographics 2016;15(1) View
  5. Zahedzadeh G. Overt attacks and covert thoughts. Aggression and Violent Behavior 2017;36:1 View
  6. Parsonage R, Hiscock J, Law R, Neal R. Patient perspectives on delays in diagnosis and treatment of cancer: a qualitative analysis of free-text data. British Journal of General Practice 2017;67(654):e49 View
  7. Abraham T, Deen T, Hamilton M, True G, O’Neil M, Blanchard J, Uddo M. Analyzing free-text survey responses: An accessible strategy for developing patient-centered programs and program evaluation. Evaluation and Program Planning 2020;78:101733 View
  8. Huxster J, Slater M, Leddington J, LoPiccolo V, Bergman J, Jones M, McGlynn C, Diaz N, Aspinall N, Bresticker J, Hopkins M. Understanding “understanding” in Public Understanding of Science. Public Understanding of Science 2018;27(7):756 View
  9. Bilgihan A, Seo S, Choi J. Identifying restaurant satisfiers and dissatisfiers: Suggestions from online reviews. Journal of Hospitality Marketing & Management 2018;27(5):601 View
  10. 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
  11. Kumar C, Babu L. Evolving dictionary based sentiment scoring framework for patient authored text. Evolutionary Intelligence 2021;14(2):657 View
  12. Kool R, Kleefstra S, Borghans I, Atsma F, van de Belt T. Influence of Intensified Supervision by Health Care Inspectorates on Online Patient Ratings of Hospitals: A Multilevel Study of More Than 43,000 Online Ratings. Journal of Medical Internet Research 2016;18(7):e198 View
  13. Yeung D. Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint. Journal of Medical Internet Research 2018;20(3):e94 View
  14. Etz R, Gonzalez M, Eden A, Winship J. Rapid Sense Making. International Journal of Qualitative Methods 2018;17(1) View
  15. Arditi C, Walther D, Gilles I, Lesage S, Griesser A, Bienvenu C, Eicher M, Peytremann-Bridevaux I. Computer-assisted textual analysis of free-text comments in the Swiss Cancer Patient Experiences (SCAPE) survey. BMC Health Services Research 2020;20(1) View
  16. Jacobs M, Briley P, Ellis C. Quantifying Experiences with Telepractice for Aphasia Therapy: A Text Mining Analysis of Client Response Data. Seminars in Speech and Language 2020;41(05):414 View
  17. Hendrickx I, Voets T, van Dyk P, Kool R. Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study. Journal of Medical Internet Research 2021;23(7):e19064 View
  18. Chekijian S, Li H, Fodeh S. Emergency care and the patient experience: Using sentiment analysis and topic modeling to understand the impact of the COVID-19 pandemic. Health and Technology 2021;11(5):1073 View
  19. Hah H, Goldin D. Moving toward AI-assisted decision-making: Observation on clinicians’ management of multimedia patient information in synchronous and asynchronous telehealth contexts. Health Informatics Journal 2022;28(1) View
  20. Delcker J. Digitalisation in the Curricula of Vocational Schools: Text Mining as an Instrument of Curricula Analysis. Technology, Knowledge and Learning 2023;28(3):999 View
  21. 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
  22. Meyer J, Okuboyejo S. User Reviews of Depression App Features: Sentiment Analysis. JMIR Formative Research 2021;5(12):e17062 View
  23. Roy M, Kain N, Touchie C. Exploring Content Relationships Among Components of a Multisource Feedback Program. Journal of Continuing Education in the Health Professions 2022;42(4):243 View
  24. Gui L, He Y. Understanding patient reviews with minimum supervision. Artificial Intelligence in Medicine 2021;120:102160 View
  25. Gregory K, Geiger L, Salisbury P. Voyant Tools and Descriptive Metadata: A Case Study in How Automation Can Compliment Expertise Knowledge. Journal of Library Metadata 2022;22(1-2):1 View
  26. Fyfe S, Smyth H, Schirra H, Rychlik M, Sultanbawa Y. The Framework for Responsible Research With Australian Native Plant Foods: A Food Chemist's Perspective. Frontiers in Nutrition 2022;8 View
  27. Shaw G, Zimmerman M, Vasquez-Huot L, Karami A. Deciphering Latent Health Information in Social Media Using a Mixed-Methods Design. Healthcare 2022;10(11):2320 View
  28. Wang J, Shahzad F, Ashraf S. Elements of information ecosystems stimulating the online consumer behavior: A mediating role of cognitive and affective trust. Telematics and Informatics 2023;80:101970 View
  29. Varagur K, Murphy J, Skolnick G, Naidoo S, McEvoy S, Strahle J, Patel K. Family Experiences with Diagnosis of Craniosynostosis: Thematic Analysis of Online Discussion Boards. The Cleft Palate Craniofacial Journal 2024;61(12):1991 View
  30. Raj S, Ghosh A, Pandiyan S, Chauhan D, Goel S. Analysis of YouTube content on substance use disorder treatment and recovery. International Journal of Social Psychiatry 2023;69(8):2097 View
  31. Deahl Z, Banerjee I, Nadella M, Patel A, Dodoo C, Jaramillo I, Varner J, Nguyen E, Tan N. Sharing Patient Praises With Radiology Staff: Workflow Automation and Impact on Staff. Journal of the American College of Radiology 2024;21(6):905 View
  32. Ojo A, Rizun N, Walsh G, Mashinchi M, Venosa M, Rao M. Prioritising national healthcare service issues from free text feedback – A computational text analysis & predictive modelling approach. Decision Support Systems 2024;181:114215 View
  33. Kuhn D, Pang P, Hunter B, Musey P, Bilimoria K, Li X, Lardaro T, Smith D, Strachan C, Canfield S, Monahan P. Patient Comments and Patient Experience Ratings Are Strongly Correlated With Emergency Department Wait Times. Quality Management in Health Care 2024;33(3):192 View
  34. Knight D, Khallaf N, Rayson P, El-Haj M, Ezeani I, Morris S. FreeTxt: A corpus-based bilingual free-text survey and questionnaire data analysis toolkit. Applied Corpus Linguistics 2024;4(3):100103 View
  35. Luo J, West N, Pang S, Robillard J, Page P, Chadha N, Gan H, Correll L, Ridgway R, Broemling N, Görges M. Parental Perspectives on Pediatric Surgical Recovery: Narrative Analysis of Free-text Comments from a Postoperative Survey (Preprint). JMIR Perioperative Medicine 2024 View

Books/Policy Documents

  1. Khan Z, Venugopal S, Oroumchian F. Advances in Software Engineering, Education, and e-Learning. View