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

Formative Evaluation of Digital Health Interventions (2410) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Mobile Health (mhealth) (2939) mHealth for Health Administration (144) Use and User Demographics of mHealth (335) Caregiving and Parenting for Chronic Pediatric Diseases (82) Supporting Informal Care and Caregivers (293) Supporting Home Care and Family Caregivers (190) mHealth for Treatment Adherence (397) Medication Adherence (83) Developmental Problems (47)

Published on in Vol 5, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25503, first published .
Feasibility of a Voice-Enabled Medical Diary App (SpeakHealth) for Caregivers of Children With Special Health Care Needs and Health Care Providers: Mixed Methods Study

Feasibility of a Voice-Enabled Medical Diary App (SpeakHealth) for Caregivers of Children With Special Health Care Needs and Health Care Providers: Mixed Methods Study

Feasibility of a Voice-Enabled Medical Diary App (SpeakHealth) for Caregivers of Children With Special Health Care Needs and Health Care Providers: Mixed Methods Study

Authors of this article:

Emre Sezgin1 Author Orcid Image ;   Garey Noritz2 Author Orcid Image ;   Simon Lin1 Author Orcid Image ;   Yungui Huang1 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. Kocaballi A, Sezgin E, Clark L, Carroll J, Huang Y, Huh-Yoo J, Kim J, Kocielnik R, Lee Y, Mamykina L, Mitchell E, Moore R, Murali P, Mynatt E, Park S, Pasta A, Richards D, Silva L, Smriti D, Spillane B, Zhang Z, Zubatiy T. Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study. Journal of Medical Internet Research 2022;24(11):e38525 View
  2. Hussain S, Sezgin E, Krivchenia K, Luna J, Rust S, Huang Y. A natural language processing pipeline to synthesize patient-generated notes toward improving remote care and chronic disease management: a cystic fibrosis case study. JAMIA Open 2021;4(3) View
  3. Sezgin E, Oiler B, Abbott B, Noritz G, Huang Y. “Hey Siri, Help Me Take Care of My Child”: A Feasibility Study With Caregivers of Children With Special Healthcare Needs Using Voice Interaction and Automatic Speech Recognition in Remote Care Management. Frontiers in Public Health 2022;10 View
  4. Sezgin E, Hussain S, Rust S, Huang Y. Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data. JMIR Formative Research 2023;7:e43014 View
  5. Tennant R, Allana S, Mercer K, Burns C. Caregiver Expectations of Interfacing With Voice Assistants to Support Complex Home Care: Mixed Methods Study. JMIR Human Factors 2022;9(2):e37688 View
  6. Ralph J, Sezgin E, Stanek C, Landier W, Pai A, Gerhardt C, Skeens M, Ali R. Improving medication adherence monitoring and clinical outcomes through mHealth: A randomized controlled trial protocol in pediatric stem cell transplant. PLOS ONE 2023;18(8):e0289987 View
  7. Volochtchuk A, Leite H, Vieira A. Voice assistant technology applied to populations with developmental and physical disabilities. Behaviour & Information Technology 2024;43(11):2300 View
  8. Kumah-Crystal Y, Lehmann C, Albert D, Coffman T, Alaw H, Roth S, Manoni A, Shave P, Johnson K. Vanderbilt Electronic Health Record Voice Assistant Supports Clinicians. Applied Clinical Informatics 2024;15(02):199 View
  9. Seaborn K, Urakami J, Pennefather P, Miyake N. Qualitative Approaches to Voice UX. ACM Computing Surveys 2024;56(12):1 View