This paper is in the following e-collection/theme issue:

Crowdsourcing and Mechanical Turks (91) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570)

Published on in Vol 18, No 1 (2016): January

Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed

Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed

Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed

Authors of this article:

Ashley N.D. Meyer1, 2 Author Orcid Image ;   Christopher A. Longhurst3 Author Orcid Image ;   Hardeep Singh1, 2 Author Orcid Image
Article Authors Cited by (31) Tweetations (79) Metrics

Journals

  1. Kühnle L, Mücke U, Lechner W, Klawonn F, Grigull L. Development of a Social Network for People Without a Diagnosis (RarePairs): Evaluation Study. Journal of Medical Internet Research 2020;22(9):e21849 View
  2. Chatterjee S, Lim S. A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis. IEEE Access 2020;8:87647 View
  3. Schwitzguebel A, Jeckelmann C, Gavinio R, Levallois C, Benaïm C, Spechbach H. Differential Diagnosis Assessment in Ambulatory Care With an Automated Medical History–Taking Device: Pilot Randomized Controlled Trial. JMIR Medical Informatics 2019;7(4):e14044 View
  4. Müller T, Jerrentrup A, Schäfer J. Computerunterstützte Diagnosefindung bei seltenen Erkrankungen. Der Internist 2018;59(4):391 View
  5. Washington P, Kalantarian H, Tariq Q, Schwartz J, Dunlap K, Chrisman B, Varma M, Ning M, Kline A, Stockham N, Paskov K, Voss C, Haber N, Wall D. Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks. Journal of Medical Internet Research 2019;21(5):e13668 View
  6. Muse E, Godino J, Netting J, Alexander J, Moran H, Topol E. From second to hundredth opinion in medicine: A global consultation platform for physicians. npj Digital Medicine 2018;1(1) View
  7. Juusola J, Quisel T, Foschini L, Ladapo J. The Impact of an Online Crowdsourcing Diagnostic Tool on Health Care Utilization: A Case Study Using a Novel Approach to Retrospective Claims Analysis. Journal of Medical Internet Research 2016;18(6):e127 View
  8. Liebeskind D. Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™. Frontiers in Medicine 2016;3 View
  9. Sims M, Hodges Shaw M, Gilbertson S, Storch J, Halterman M. Legal and ethical issues surrounding the use of crowdsourcing among healthcare providers. Health Informatics Journal 2019;25(4):1618 View
  10. Chang W, Mashouri P, Lozano A, Johnstone B, Husić M, Olry A, Maiella S, Balci T, Sawyer S, Robinson P, Rath A, Brudno M. Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes. Genetics in Medicine 2020;22(8):1391 View
  11. Hulsen T. Sharing Is Caring—Data Sharing Initiatives in Healthcare. International Journal of Environmental Research and Public Health 2020;17(9):3046 View
  12. Dainty K, Vaid H, Brooks S. North American Public Opinion Survey on the Acceptability of Crowdsourcing Basic Life Support for Out-of-Hospital Cardiac Arrest With the PulsePoint Mobile Phone App. JMIR mHealth and uHealth 2017;5(5):e63 View
  13. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  14. Jiang N, Zhuang Y, Chiu D. Effective and efficient crowd-assisted similarity retrieval of medical images in resource-constraint Mobile telemedicine systems. Multimedia Tools and Applications 2020;79(27-28):19893 View
  15. Dreisbach C, Koleck T, Bourne P, Bakken S. A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data. International Journal of Medical Informatics 2019;125:37 View
  16. Millenson M, Baldwin J, Zipperer L, Singh H. Beyond Dr. Google: the evidence on consumer-facing digital tools for diagnosis. Diagnosis 2018;5(3):95 View
  17. Cocos A, Qian T, Callison-Burch C, Masino A. Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation. Journal of Biomedical Informatics 2017;69:86 View
  18. Berenson R, Singh H. Payment Innovations To Improve Diagnostic Accuracy And Reduce Diagnostic Error. Health Affairs 2018;37(11):1828 View
  19. Ronzio L, Campagner A, Cabitza F, Gensini G. Unity Is Intelligence: A Collective Intelligence Experiment on ECG Reading to Improve Diagnostic Performance in Cardiology. Journal of Intelligence 2021;9(2):17 View
  20. Rządeczka M. The Philosophy of Expertise in the Age of Medical Informatics: How Healthcare Technology is Transforming Our Understanding of Expertise and Expert Knowledge?. Studies in Logic, Grammar and Rhetoric 2020;63(1):209 View
  21. LeBlanc K, Glanton E, Nagy A, Bater J, Berro T, McGuinness M, Studwell C, Might M. Rare disease patient matchmaking: development and outcomes of an internet case-finding strategy in the Undiagnosed Diseases Network. Orphanet Journal of Rare Diseases 2021;16(1) View
  22. Vukicevic A, Vukicevic M, Radovanovic S, Delibasic B. BargCrEx: A System for Bargaining Based Aggregation of Crowd and Expert Opinions in Crowdsourcing. Group Decision and Negotiation 2022;31(4):789 View
  23. Knitza J, Krusche M, Leipe J. Digitale Diagnoseunterstützung in der Rheumatologie. Zeitschrift für Rheumatologie 2021;80(10):909 View
  24. Centola D, Becker J, Zhang J, Aysola J, Guilbeault D, Khoong E. Experimental evidence for structured information–sharing networks reducing medical errors. Proceedings of the National Academy of Sciences 2023;120(31) View

Books/Policy Documents

  1. Younis E. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics. View
  2. Borchert K, Hirth M, Stellzig-Eisenhauer A, Kunz F. Digital Transformation for a Sustainable Society in the 21st Century. View
  3. Younis E. Encyclopedia of Information Science and Technology, Fourth Edition. View
  4. Lombi L, Mori L. Health and Illness in the Neoliberal Era in Europe. View
  5. Tan M, Grigorenko E. The Cambridge Handbook of Creativity across Domains. View