Health Informatics J - Provider impressions of the use of a mobile crowdsourcing app in medical practice.

Tópicos

{ use(2086) technolog(871) perceiv(783) }
{ patient(2315) diseas(1263) diabet(1191) }
{ treatment(1704) effect(941) patient(846) }
{ survey(1388) particip(1329) question(1065) }
{ chang(1828) time(1643) increas(1301) }
{ system(1050) medic(1026) inform(1018) }
{ care(1570) inform(1187) nurs(1089) }
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{ data(2317) use(1299) case(1017) }
{ intervent(3218) particip(2042) group(1664) }
{ high(1669) rate(1365) level(1280) }
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{ health(3367) inform(1360) care(1135) }
{ patient(1821) servic(1111) care(1106) }
{ decis(3086) make(1611) patient(1517) }
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{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
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{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
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{ time(1939) patient(1703) rate(768) }
{ analysi(2126) use(1163) compon(1037) }
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{ activ(1452) weight(1219) physic(1104) }
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{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

In our prior work, we conducted a field trial of the mobile application DocCHIRP (Crowdsourcing Health Information Retrieval Protocol for Doctors), designed to help clinicians problem-solve at the point of care by crowdsourcing their peers. Here, we present the results of our post-trial survey that investigated the impressions of participating clinicians regarding the use of medical crowdsourcing and to identify factors influencing adoption of the technology. In all, 72 valid surveys were received from 85 registered users (85% response rate). The majority of clinicians (>80%) felt crowdsourcing would be useful to diagnose unusual cases, facilitate patient referrals, and problem-solve at the point of care. Perceived barriers to adoption included interruptions in workflow and the reluctance to publicly expose knowledge gaps. While considered a useful alternative to existing methods, future studies are needed to investigate whether the approach and application can be modified to effectively address these barriers, and to determine whether crowdsourcing will enhance provider performance and the quality of care delivered.

Resumo Limpo

prior work conduct field trial mobil applic docchirp crowdsourc health inform retriev protocol doctor design help clinician problemsolv point care crowdsourc peer present result posttrial survey investig impress particip clinician regard use medic crowdsourc identifi factor influenc adopt technolog valid survey receiv regist user respons rate major clinician felt crowdsourc use diagnos unusu case facilit patient referr problemsolv point care perceiv barrier adopt includ interrupt workflow reluct public expos knowledg gap consid use altern exist method futur studi need investig whether approach applic can modifi effect address barrier determin whether crowdsourc will enhanc provid perform qualiti care deliv

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