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

Infodemiology and Infoveillance (1466) New Methods (1035) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089) Information Seeking, Information Needs (530)

Published on in Vol 18, No 3 (2016): March

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)

Authors of this article:

Chad Priest1 Author Orcid Image ;   Amelia Knopf2 Author Orcid Image ;   Doyle Groves2 Author Orcid Image ;   Janet S Carpenter2 Author Orcid Image ;   Christopher Furrey2 Author Orcid Image ;   Anand Krishnan3 Author Orcid Image ;   Wendy R Miller2 Author Orcid Image ;   Julie L Otte2 Author Orcid Image ;   Mathew Palakal3 Author Orcid Image ;   Sarah Wiehe4 Author Orcid Image ;   Jeffrey Wilson5 Author Orcid Image
Article Authors Cited by (18) Tweetations (34) Metrics
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JMIR Publications JMIR Publications @jmirpub

JMIR: Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Que... https://t.co/XA7OlOI54N

2:03 PM · Mar 09, 2016

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fredbarney fredbarney @yabbadabbadoo99

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha… https://t.co/vhum1EzXgB

2:05 PM · Mar 09, 2016

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Sven Awege Sven Awege @SVENNIECO

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-… https://t.co/mHXjWlaW4w

2:21 PM · Mar 09, 2016

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Dr. Wendy Miller, PhD, RN, CNS Dr. Wendy Miller, PhD, RN, CNS @drwendymiller

Our team just published article on using #BigData to improve health. Initial analysis of #chacha data. https://t.co/CCRmxuqpxy

3:01 PM · Mar 09, 2016

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Chad Priest Chad Priest @ChadSPriest

RT @JMedInternetRes: JMIR: Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Que... http…

3:56 PM · Mar 09, 2016

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Mark Dimor Mark Dimor @MarksPhone

Patient’s Voice Using Big Data: Analysis of Users’ Health Concerns in the ChaCha Q&A Service (2009–2012) https://t.co/ARm4xXCrIJ

4:00 PM · Mar 09, 2016

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HealthInnovSAS HealthInnovSAS @HealthInnovSAS

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Q&A Service https://t.co/qEvd79q3XO

4:27 PM · Mar 09, 2016

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Doyle Groves Doyle Groves @deejmon

RT @JMedInternetRes: JMIR: Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Que... http…

6:37 PM · Mar 09, 2016

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Sociative mHealth Sociative mHealth @SocMHealth

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha ... https://t.co/l6xsA2r55l #mhealth

11:35 PM · Mar 09, 2016

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Mauricio Soto Duran Mauricio Soto Duran @msotod

RT @JMedInternetRes: JMIR: Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Que... http…

1:34 AM · Mar 10, 2016

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Steve Steinhubl Steve Steinhubl @SteveSteinhubl

Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ https://t.co/8jiGiRpWbl

8:10 PM · Mar 10, 2016

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Joseph Condurso Joseph Condurso @josephcondurso

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

11:18 PM · Mar 10, 2016

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Matej Vinko Matej Vinko @matejjetam

JMIR-Finding the Patient’s Voice Using Big Data: Analysis of Users Health-Related Concerns in the ChaCha Q&A Service https://t.co/zACm1tbltg

6:47 AM · Mar 11, 2016

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Chad Priest Chad Priest @ChadSPriest

"The private nature of the ChaCha service provided a perfect environment for maximum frankness among users" https://t.co/rIjrIooSED

11:56 AM · Mar 11, 2016

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Chad Priest Chad Priest @ChadSPriest

"The development of effective health care interventions requires ... understanding of the stated needs of public." https://t.co/rIjrIooSED

3:30 PM · Mar 11, 2016

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Chad Priest Chad Priest @ChadSPriest

From our recent article "Adolescents’ sexual health queries reveal knowledge gaps with serious lifelong consequences https://t.co/rIjrIooSED

5:55 PM · Mar 11, 2016

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Doyle Groves Doyle Groves @deejmon

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

7:45 PM · Mar 11, 2016

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Chad Priest Chad Priest @ChadSPriest

Social media provides insight int public’s health concerns w/o financial & temporal encumbrances of trad. methods. https://t.co/rIjrIooSED

9:00 PM · Mar 11, 2016

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A Omar A Omar @ahomar

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns https://t.co/2RT2F9cu4k

1:12 PM · Mar 12, 2016

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JMIR Publications JMIR Publications @jmirpub

HOT Most tweeted: Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health... https://t.co/Hc5BLnLAYu https://t.co/DPELEpEf5G

9:23 PM · Mar 12, 2016

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Damian Borbolla Damian Borbolla @daborbolla

RT @JMedInternetRes: HOT Most tweeted: Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health... https://t.co/Hc5BLnLAYu htt…

9:28 PM · Mar 12, 2016

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Susan Taylor Susan Taylor @SusanTaylorSD

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

5:42 PM · Mar 13, 2016

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JMIR Publications JMIR Publications @jmirpub

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

10:55 PM · Mar 13, 2016

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pschwartz pschwartz @pschwartzmd

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

11:07 PM · Mar 13, 2016

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Dr Janet R. Wojcik is Staying @ ???? or 6’ Away ???? Dr Janet R. Wojcik is Staying @ ???? or 6’ Away ???? @JanetRWojcikPhD

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

11:09 PM · Mar 13, 2016

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Molly Waring Molly Waring @DrMollyWaring

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

12:24 AM · Mar 14, 2016

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JMIR Publications JMIR Publications @jmirpub

RT @ChadSPriest: From our recent article "Adolescents’ sexual health queries reveal knowledge gaps with serious lifelong consequences https…

9:01 PM · Mar 14, 2016

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Annette McKinnon Annette McKinnon @anetto

Finding the Patient's Voice Using Big Data: Analysis of Users' Health-Related Concerns in the ChaCha Service https://t.co/un08FxtmxM #SoMe

12:27 PM · Mar 18, 2016

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D. Brett Richardson Ⓥ D. Brett Richardson Ⓥ @BerkeleyBrett

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

7:05 PM · Mar 18, 2016

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Dione Tannenbaum Dione Tannenbaum @Dione2312

RT @JMedInternetRes: HOT Most tweeted: Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health... https://t.co/Hc5BLnLAYu htt…

5:29 AM · Mar 20, 2016

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Carolyn Petersen ???? Carolyn Petersen ???? @SurvivorshipIT

Big data analysis shines light on consumer/patient health concerns https://t.co/LBcsNT4xS1 @ChadSPriest #digitalhealth

4:17 PM · Mar 20, 2016

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Chad Priest Chad Priest @ChadSPriest

RT @SurvivorshipIT: Big data analysis shines light on consumer/patient health concerns https://t.co/LBcsNT4xS1 @ChadSPriest #digitalhealth

11:03 PM · Mar 20, 2016

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Stop First Nations deaths in custody Stop First Nations deaths in custody @rowlandm

Finding the Patient's Voice Using #BigData from @ChaCha https://t.co/wsPQeaEFk4

8:39 PM · Mar 23, 2016

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Uppydown Productions Uppydown Productions @Uppydown

RT @ChadSPriest: "The private nature of the ChaCha service provided a perfect environment for maximum frankness among users" https://t.co/r…

2:37 AM · Mar 30, 2016

1
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Chad Priest Chad Priest @ChadSPriest

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

5:09 PM · Apr 10, 2016

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Chad Priest Chad Priest @ChadSPriest

RT @JMedInternetRes: HOT Most tweeted: Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health... https://t.co/Hc5BLnLAYu htt…

5:10 PM · Apr 10, 2016

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Mark Silverberg Mark Silverberg @skram

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

5:15 PM · Apr 10, 2016

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Claire Anderson Claire Anderson @Clairewynn

RT @SteveSteinhubl: Great study of 68M health queries to understand what teenagers (median age 17) want to know. https://t.co/pCrI9Ku9NZ ht…

5:17 PM · Apr 10, 2016

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Nick Rattray Nick Rattray @nickrattray

RT @runnerwendy: Our team just published article on using #BigData to improve health. Initial analysis of #chacha data. https://t.co/CCRmxu…

7:24 PM · Apr 20, 2016

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PAHO/WHO eHealth PAHO/WHO eHealth @ehealthpaho

Finding the Patient's Voice Using #Big Data: Analysis of Users' Health-Related Concerns https://t.co/PtLXkRf6HT

12:55 PM · Aug 12, 2016

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FAPA Foundation FAPA Foundation @FoundationFapa

RT @ehealthpaho: Finding the Patient's Voice Using #Big Data: Analysis of Users' Health-Related Concerns https://t.co/PtLXkRf6HT

3:02 AM · Aug 15, 2016

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Dr. Wendy Miller, PhD, RN, CNS Dr. Wendy Miller, PhD, RN, CNS @drwendymiller

RT @IUSoNSNHRL: #YoungAdult sex hlth ?s show mjr #knowledge gaps. @IUSoNSNHRL on #patient voice in #BigData @JMedInternetRes #health https:…

4:02 PM · Oct 21, 2016

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