The Impact of an Online Crowdsourcing Diagnostic Tool on Health Care Utilization: A Case Study Using a Novel Approach to Retrospective Claims Analysis.
Background: Patients with difficult medical cases often remain undiagnosed despite visiting multiple physicians. A new online platform, CrowdMed, uses crowdsourcing to quickly and efficiently reach an accurate diagnosis for these patients.Objective: This study sought to evaluate whether CrowdMed dec...
| Publicado en: | Journal of Medical Internet Research Vol. 18; no. 6; pp. 91 - 92 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
JMIR Publications Inc.
Jul2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118449433&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118449433 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14394456 DNC jtl: Journal of Medical Internet Research issn: 14394456 maglogo: N pubinfo: dt: Jul2016 vid: 18 iid: 6 pid: 21567 pub: JMIR Publications Inc. place: Toronto, Ontario artinfo: ui: 118449433 118398656 NLM27251384 118398656 10.2196/jmir.5644 NLM27251384 PMC4909973 118449433 ppf: 91 ppct: 1 formats: tig: atl: The Impact of an Online Crowdsourcing Diagnostic Tool on Health Care Utilization: A Case Study Using a Novel Approach to Retrospective Claims Analysis. aug: au: Juusola, Jessie L Quisel, Thomas R Foschini, Luca Ladapo, Joseph A affil: Evidation Health, Inc, San Mateo, CA, United States sug: subj: Telemedicine Patient Attitudes Crowdsourcing Methods Internet Insurance Quality of Health Care Methods Female Male Retrospective Design Adult Human Adult: 19-44 years Female Male ab: Background: Patients with difficult medical cases often remain undiagnosed despite visiting multiple physicians. A new online platform, CrowdMed, uses crowdsourcing to quickly and efficiently reach an accurate diagnosis for these patients.Objective: This study sought to evaluate whether CrowdMed decreased health care utilization for patients who have used the service.Methods: Novel, electronic methods of patient recruitment and data collection were utilized. Patients who completed cases on CrowdMed's platform between July 2014 and April 2015 were recruited for the study via email and screened via an online survey. After providing eConsent, participants provided identifying information used to access their medical claims data, which was retrieved through a third-party web application program interface (API). Utilization metrics including frequency of provider visits and medical charges were compared pre- and post-case resolution to assess the impact of resolving a case on CrowdMed.Results: Of 45 CrowdMed users who completed the study survey, comprehensive claims data was available via API for 13 participants, who made up the final enrolled sample. There were a total of 221 health care provider visits collected for the study participants, with service dates ranging from September 2013 to July 2015. Frequency of provider visits was significantly lower after resolution of a case on CrowdMed (mean of 1.07 visits per month pre-resolution vs. 0.65 visits per month post-resolution, P=.01). Medical charges were also significantly lower after case resolution (mean of US $719.70 per month pre-resolution vs. US $516.79 per month post-resolution, P=.03). There was no significant relationship between study results and disease onset date, and there was no evidence of regression to the mean influencing results.Conclusions: This study employed technology-enabled methods to demonstrate that patients who used CrowdMed had lower health care utilization after case resolution. However, since the final sample size was limited, results should be interpreted as a case study. Despite this limitation, the statistically significant results suggest that online crowdsourcing shows promise as an efficient method of solving difficult medical cases. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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