Articles published in 2019 in this theme: 12 (scroll down to load remaining articles)
2019
Simon de Lusignan, Ana Correa, Gaël Dos Santos, Nadia Meyer, François Haguinet, Rebecca Webb, Christopher McGee, Rachel Byford, Ivelina Yonova, Sameera Pathirannehelage, Filipa Matos Ferreira, Simon Jones
JMIR Public Health Surveill 2019 (Nov 14); 5(4):e12016Download Citation: END BibTex RIS
Astrid Karnoe, Lars Kayser, Lasse Skovgaard
JMIR Hum Factors 2019 (Oct 09); 6(4):e13295Download Citation: END BibTex RIS
Ana Luísa Neves, Dilkushi Poovendran, Lisa Freise, Saira Ghafur, Kelsey Flott, Ara Darzi, Erik K Mayer
J Med Internet Res 2019 (Sep 26); 21(9):e14135Download Citation: END BibTex RIS
Public Views on Models for Accessing Genomic and Health Data for Research: Mixed Methods Study
Kerina H Jones, Helen Daniels, Emma Squires, David V Ford
J Med Internet Res 2019 (Aug 21); 21(8):e14384Download Citation: END BibTex RIS
Why Do Data Users Say Health Care Data Are Difficult to Use? A Cross-Sectional Survey Study
Ho Heon Kim, Bora Kim, Segyeong Joo, Soo-Yong Shin, Hyo Soung Cha, Yu Rang Park
J Med Internet Res 2019 (Aug 06); 21(8):e14126Download Citation: END BibTex RIS
Consumer-Mediated Data Exchange for Research: Current State of US Law, Technology, and Trust
Yiscah Bracha, Jacqueline Bagwell, Robert Furberg, Jonathan S Wald
JMIR Med Inform 2019 (Jun 03); 7(2):e12348Download Citation: END BibTex RIS
Raphaël Chevrier, Vasiliki Foufi, Christophe Gaudet-Blavignac, Arnaud Robert, Christian Lovis
J Med Internet Res 2019 (May 31); 21(5):e13484Download Citation: END BibTex RIS
![Privacy-Preserving Analysis of Distributed Biomedical Data: Designing Efficient and Secure Multiparty Computations Using Distributed Statistical Learning Theory Privacy-Preserving Analysis of Distributed Biomedical Data: Designing Efficient and Secure Multiparty Computations Using Distributed Statistical Learning Theory](https://asset.jmir.pub/assets/thumbs/504a7edf5877e342b7342bdc6dd93556.png 480w,https://asset.jmir.pub/assets/thumbs/504a7edf5877e342b7342bdc6dd93556.png 960w,https://asset.jmir.pub/assets/thumbs/504a7edf5877e342b7342bdc6dd93556.png 1920w,https://asset.jmir.pub/assets/thumbs/504a7edf5877e342b7342bdc6dd93556.png 2500w)
Fida K Dankar, Nisha Madathil, Samar K Dankar, Sabri Boughorbel
JMIR Med Inform 2019 (Apr 29); 7(2):e12702Download Citation: END BibTex RIS
![Use of Electronic Health Records to Develop and Implement a Silent Best Practice Alert Notification System for Patient Recruitment in Clinical Research: Quality Improvement Initiative Use of Electronic Health Records to Develop and Implement a Silent Best Practice Alert Notification System for Patient Recruitment in Clinical Research: Quality Improvement Initiative](https://asset.jmir.pub/assets/thumbs/d3193d82d0d323d327fde5a04af83dd0.png 480w,https://asset.jmir.pub/assets/thumbs/d3193d82d0d323d327fde5a04af83dd0.png 960w,https://asset.jmir.pub/assets/thumbs/d3193d82d0d323d327fde5a04af83dd0.png 1920w,https://asset.jmir.pub/assets/thumbs/d3193d82d0d323d327fde5a04af83dd0.png 2500w)
Connor Devoe, Harriett Gabbidon, Nina Schussler, Lauren Cortese, Emily Caplan, Colin Gorman, Kamal Jethwani, Joseph Kvedar, Stephen Agboola
JMIR Med Inform 2019 (Apr 26); 7(2):e10020Download Citation: END BibTex RIS
![An Integrated Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation An Integrated Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation](https://asset.jmir.pub/assets/thumbs/aa2c39dab3b45eeb81210bbff69560f7.png 480w,https://asset.jmir.pub/assets/thumbs/aa2c39dab3b45eeb81210bbff69560f7.png 960w,https://asset.jmir.pub/assets/thumbs/aa2c39dab3b45eeb81210bbff69560f7.png 1920w,https://asset.jmir.pub/assets/thumbs/aa2c39dab3b45eeb81210bbff69560f7.png 2500w)
Cheng-Yi Yang, Ray-Jade Chen, Wan-Lin Chou, Yuarn-Jang Lee, Yu-Sheng Lo
J Med Internet Res 2019 (Feb 01); 21(2):e12341Download Citation: END BibTex RIS
![The Connected Intensive Care Unit Patient: Exploratory Analyses and Cohort Discovery From a Critical Care Telemedicine Database The Connected Intensive Care Unit Patient: Exploratory Analyses and Cohort Discovery From a Critical Care Telemedicine Database](https://asset.jmir.pub/assets/thumbs/5548ef90c0b4ee301602fbb5c06be529.png 480w,https://asset.jmir.pub/assets/thumbs/5548ef90c0b4ee301602fbb5c06be529.png 960w,https://asset.jmir.pub/assets/thumbs/5548ef90c0b4ee301602fbb5c06be529.png 1920w,https://asset.jmir.pub/assets/thumbs/5548ef90c0b4ee301602fbb5c06be529.png 2500w)
Patrick Essay, Tala B Shahin, Baran Balkan, Jarrod Mosier, Vignesh Subbian
JMIR Med Inform 2019 (Jan 24); 7(1):e13006Download Citation: END BibTex RIS
![A New Insight Into Missing Data in Intensive Care Unit Patient Profiles: Observational Study A New Insight Into Missing Data in Intensive Care Unit Patient Profiles: Observational Study](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/59f4b8791149ef1f7f9f7d48382d53ba.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/59f4b8791149ef1f7f9f7d48382d53ba.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/59f4b8791149ef1f7f9f7d48382d53ba.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/59f4b8791149ef1f7f9f7d48382d53ba.png 2500w)
A New Insight Into Missing Data in Intensive Care Unit Patient Profiles: Observational Study
Anis Sharafoddini, Joel A Dubin, David M Maslove, Joon Lee
JMIR Med Inform 2019 (Jan 08); 7(1):e11605Download Citation: END BibTex RIS