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Dr. Chinasa Odo

Dr. Chinasa Odo

Biography

Dr Chinasa Odo is a Researcher at the Centre for Digital Innovations in Health and Social Care (CDIHSC), University of Bradford. Her research lies at the intersection of Human–Computer Interaction (HCI), Digital Health, Artificial Intelligence (AI), and Health Informatics, with a focus on the design, implementation, and evaluation of user-centred digital health technologies that improve patient care and clinical workflows.

Her work spans the full lifecycle of digital health innovation, from co-design and usability evaluation to implementation and adoption in real-world healthcare settings. She has particular expertise in mixed-methods research, qualitative inquiry, usability testing, implementation science, and the development of conceptual and measurement frameworks for digital health. Her current research investigates ambient clinical AI, software as a medical device (SaMD), technology confidence, patient engagement, and documentation burden, examining how sociotechnical, organisational, and regulatory factors influence the safe and effective integration of AI-enabled technologies into healthcare.

Dr Odo has led and contributed to interdisciplinary research across NHS organisations, collaborating with clinicians, patients, software developers, industry partners, and policymakers to translate research into practice. Her work has been disseminated through international conferences and peer-reviewed publications in digital health, medical informatics, and HCI, contributing to evidence-based approaches for designing trustworthy, safe, and sustainable digital health systems.

Research interests

  • Human–Computer Interaction (HCI)
  • Digital Health and Health Informatics
  • Artificial Intelligence in Healthcare
  • Ambient Clinical AI
  • Human-AI Interaction
  • Software as a Medical Device (SaMD)
  • Digital Health Implementation and Evaluation
  • User Experience and Usability
  • Patient and Public Involvement (PPI)
  • Mixed-Methods Research
  • Qualitative Health Research
  • Technology Confidence and Digital Health Engagement
  • Clinical Decision Support Systems
  • Co-design and Participatory Design
  • Implementation Science
  • Digital Transformation of Healthcare
  • Health Technology Assessment
Previous publications
Odo C, Rathnayake S, Parisi V, Pink J, Randell R. Frameworks for Digital Health Engagement: A
Scoping Review Protocol. Opening the Personal Gate between Technology and Health Care. 2026:1818-9.

Rathnayake S, Karunathilake N, Odo C, Parisi V, Pink J, Tu J, Zhao W, Randell R. Electronic Patient
Records, Real-Time Clinical Documentation and Burden: An Umbrella Review. Studies in health
technology and informatics. 2026 May 21;336:1943-4

Chinasa Odo, Nikki Rousseau, Joanne Patterson, Vinidh Paleri, Theofano Tikka, Clare Schilling, Re-
becca Randell. (2025). Co-design of clinician-facing report and implementation pathway for a digital questionnaire for reporting head and neck cancer symptoms. JAMIA Open, Volume 8, Issue 6, December 2025, https://doi.org/10.1093/jamiaopen/ooaf130

Chinasa Odo, Joanne Patterson, Nikki Rousseau, Vinidh Paleri, Rebecca Randell. 2025. Challenges
in Developing a Patient-Reported Symptom-Based Risk Stratication System for Suspected Head and
Neck Cancer: Protocol for a Qualitative Case Study. JMIR Research Protocols. doi: 10.2196/74262

Odo, C., Hardman, J., Patterson, J., McVey, L., Rousseau, N., Paleri, V., & Randell, R. (2025).
Improving the Usability of a Digital Questionnaire to Elicit Symptoms for Patients Referred via the
Cancer Diagnostic Pathway for Suspected Head and Neck Cancer. In Intelligent Health SystemsFrom
Technology to Data and Knowledge (pp. 1120-1124). IOS Press. 10.3233/SHTI250564

Albutt, A., McVey, L., Randell, R., Hardman, J. C., Kellar, I., Odo, C., ... & Rousseau, N. (2025).
Qualitative study to inform the design and contents of a patient-reported symptom-based risk stratication system for patients referred from primary care on a suspected head and neck cancer diagnostic pathway. BMJ open, 15(4), e094197, doi:10.1136/bmjopen-2024-094197

Albutt, A., Hardman, J., McVey, L., Odo, C., Paleri, V., Patterson, J., ... & Randell, R. (2024).
Qualitative study exploring the design of a patient-reported symptom-based risk stratication system for suspected head and neck cancer referrals: protocol for work packages 1 and 2 within the EVEREST-HN programme. BMJ open, 14(4), e081151, doi:10.1136/bmjopen-2023-081151

Bradley, P. T., Lee, Y. K., Albutt, A., Hardman, J., Kellar, I., Odo, C., ... & Paleri, V. (2024).
Nomenclature of the symptoms of head and neck cancer: a systematic scoping review. Frontiers in
Oncology, 14, 1404860, doi:10.3389/fonc.2024.1404860.

Odo, C., Albutt, A., Hardman, J., Patterson, J., Mcvey, L., Rousseau, N., ... & Randell, R. (2024).
Technology for fast-tracking high-risk head and neck cancer referrals: Co-designing with patients.
International Journal of Medical Informatics, 192, 105641, doi:10.1016/j.ijmedinf.2024.105641.

OSullivan, K., Markovic, M., Dymiter, J., Martin, A., Odo, C., Rowlands, H., ... & Casey, A.
(2024). Improving transparency and quality assurance: Operationalising semi-automated data provenance tracking in a Trusted Research Environment. International Journal of Population Data Science, 9(5), 055, doi:10.23889/ijpds.v9i5.2539.

Odo, C., De Paoli, S., Forbes, P., & Oniga, A. (2023). Crowdfunding scientifc research: A case study
based on user research. In 21st International Conference on e-Society and 19th International Conference on Mobile Learning 2023 (pp. 153-160). IADIS Press.

Vinella, F. L., Odo, C., Lykourentzou, I., & Mastho , J. (2022). How personality and communication
patterns a ect online ad-hoc teams under pressure. Frontiers in Artificial Intelligence, 5, 818491,
doi:10.3389/frai.2022.818491.

Odo, C., Masthoff, J., & Beacham, N. (2019). Group formation for collaborative learning: A systematic literature review. In Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II 20 (pp. 206-212). Springer International Publishing.

Odo, C., Masthoff, J., & Beacham, N. A. (2019). Adapting Online Group Formation to Learners'
Conscientiousness, Agreeableness and Ability. In SLLL@ AIED (pp. 1-7).

Odo, C. (2018). Adapting learning activities selection in an intelligent tutoring system to a ect. In
Artificial Intelligence in Education: 19th International Conference, AIED 2018, London, UK, June
2730, 2018, Proceedings, Part II 19 (pp. 521-525). Springer International Publishing.

Research

My are of interest is on human-computer interaction (HCI), especially in the context of user experience (UX). 

Publications

Book (1)

Other publication (1)

Peer reviewed journal (2)