Published on in Vol 18, No 6 (2016): Jun

The Impact of an Online Crowdsourcing Diagnostic Tool on Health Care Utilization: A Case Study Using a Novel Approach to Retrospective Claims Analysis

The Impact of an Online Crowdsourcing Diagnostic Tool on Health Care Utilization: A Case Study Using a Novel Approach to Retrospective Claims Analysis

The Impact of an Online Crowdsourcing Diagnostic Tool on Health Care Utilization: A Case Study Using a Novel Approach to Retrospective Claims Analysis

Journals

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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

Books/Policy Documents

  1. Edoh T. Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention. View
  2. Edoh T. Research Anthology on Improving Health Literacy Through Patient Communication and Mass Media. View