Published on in Vol 5, No 4 (2018): Oct-Dec

This is a member publication of UC Davis - Shields Library, Davis, CA, USA

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11826, first published .
Data Visualizations to Support Health Practitioners’ Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study

Data Visualizations to Support Health Practitioners’ Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study

Data Visualizations to Support Health Practitioners’ Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study

Journals

  1. Molina-Recio G, Molina-Luque R, Jiménez-García A, Ventura-Puertos P, Hernández-Reyes A, Romero-Saldaña M. Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review. JMIR mHealth and uHealth 2020;8(4):e14376 View
  2. Lor M, Backonja U. Visualizations Integrated Into Consumer Health Technologies Support Self-management of Chronic Diseases. CIN: Computers, Informatics, Nursing 2020;38(3):120 View
  3. Mangold K, Gallicchio L, Gaysynsky A, Kent E, Constantine K, Hesse B. Feasibility of collecting patient-generated health data to enhance cancer registry surveillance. Journal of Cancer Survivorship 2021;15(5):785 View
  4. Wang G, Albayrak A, Hogervorst E, van der Cammen T. Know-Me: A Toolkit for Designing Personalised Dementia Care. International Journal of Environmental Research and Public Health 2021;18(11):5662 View
  5. Wang G, Albayrak A, Kortuem G, van der Cammen T. A Digital Platform for Facilitating Personalized Dementia Care in Nursing Homes: Formative Evaluation Study. JMIR Formative Research 2021;5(5):e25705 View
  6. Ahmed Z, Renart E, Zeeshan S, Dong X. Advancing clinical genomics and precision medicine with GVViZ: FAIR bioinformatics platform for variable gene-disease annotation, visualization, and expression analysis. Human Genomics 2021;15(1) View
  7. Keizer J, Luz C, Sinha B, van Gemert-Pijnen L, Albers C, Beerlage-de Jong N, Glasner C. The Visual Dictionary of Antimicrobial Stewardship, Infection Control, and Institutional Surveillance Data. Frontiers in Microbiology 2021;12 View
  8. Abdolkhani R, Gray K, Borda A, DeSouza R. Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study. JMIR mHealth and uHealth 2023;11:e35917 View
  9. Chang Y, Kim S. A Systematic Review on Patient-generated Health Data Visualization for Daily and Clinical Use. Journal of Digital Contents Society 2022;23(10):2057 View
  10. LeBaron V, Lingler J. Challenges and Opportunities in Designing and Deploying Remote Health Monitoring Technology for Older Adults With Cancer. Innovation in Aging 2022;6(6) View
  11. Bierman A, Burke B, Comfort L, Gerstein M, Mueller N, Umscheid C. From precision medicine to precision care: Choosing and using precision medicine in the context of multimorbidity. Cambridge Prisms: Precision Medicine 2023;1 View
  12. Grant S, Tonkin E, Craddock I, Blom A, Holmes M, Judge A, Masullo A, Perello Nieto M, Song H, Whitehouse M, Flach P, Gooberman-Hill R. Toward Enhanced Clinical Decision Support for Patients Undergoing a Hip or Knee Replacement: Focus Group and Interview Study With Surgeons. JMIR Perioperative Medicine 2023;6:e36172 View
  13. Kittel M, Moorthy P, Rao S, Halfmann M, Thiaucourt M, Strauß M, Haselmann V, Santhanam N, Siegel F, Neumaier M. Triptychon: Usability evaluation and implementation of a web-based application for patients’ lab and vital parameters. DIGITAL HEALTH 2023;9 View
  14. LeBaron V, Homdee N, Ogunjirin E, Patel N, Blackhall L, Lach J. Describing and visualizing the patient and caregiver experience of cancer pain in the home context using ecological momentary assessments. DIGITAL HEALTH 2023;9 View
  15. Shenvi E, Boxwala A, Sittig D, Zott C, Lomotan E, Swiger J, Dullabh P. Visualization of Patient-Generated Health Data: A Scoping Review of Dashboard Designs. Applied Clinical Informatics 2023;14(05):913 View
  16. Ng J, Arness D, Gronowski A, Qu Z, Lau C, Catchpoole D, Nguyen Q. Exocentric and Egocentric Views for Biomedical Data Analytics in Virtual Environments—A Usability Study. Journal of Imaging 2023;10(1):3 View
  17. Lor M, Li A, Brown R, Swedlund M, Hawkins J, Nolander E, Chewning B. Improving pain communication between limited English‐speaking Hmong patients, medical interpreters, and health care providers in primary care: A pilot study. Research in Nursing & Health 2024;47(3):289 View
  18. Suresh K, Görg C, Ghosh D. Model‐agnostic explanations for survival prediction models. Statistics in Medicine 2024;43(11):2161 View
  19. Adediran E, Owens R, Gardner E, Lockrey A, Carlson E, Forbes D, Stuligross J, Ose D. Development and usability of an EHR‐driven hypertension disparities dashboard in primary care: A qualitative study. The Journal of Clinical Hypertension 2024 View
  20. Huot S, Fortin P, Godbout A, Laflamme C, Pouliot M. A tool to assist rheumatologists to engage their lupus patients: the Purple Butterfly. Rheumatology Advances in Practice 2024;8(3) View

Books/Policy Documents

  1. Fernandez-Luque L, Núñez-Benjumea F, Cervera-Torres S, López-Guerra J, Liao Z, Pagán J, Zambrana F. Personal Health Informatics. View
  2. Low L, Vong W, Loh B, Then P. Proceedings of ASEAN-Australian Engineering Congress (AAEC2022). View