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Using clinical simulation to evaluate a video telehealth consultation summary application
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  • Open access
  • Published: 11 March 2026

Using clinical simulation to evaluate a video telehealth consultation summary application

  • Teresa O’Brien1 na1,
  • Kit Huckvale1 na1,
  • Olivia Metcalf1,
  • Wendy Chapman1,
  • Hasan Ferdous1,
  • Rashina Hoda2,
  • Peter Poon3,4,
  • Andy Li2,
  • Laura Bird3,4,
  • Isabella Hall3,4,
  • Emmy Trinh3,4,
  • Christopher Bain2,5,
  • Sam Georgy6,
  • Xiao Chen7 &
  • …
  • Mahima Kalla1 

npj Digital Medicine , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Health care
  • Medical research

Abstract

Patients forget up to 80% of information conveyed during medical consultations. While clinicians may provide hand-written notes to patients during in-person appointments, such opportunities are limited in telehealth. Palliative care patients with complex information needs may benefit from consultation summaries. We developed a consultation summary application (CSA) to generate patient-facing summaries during video telehealth, in a palliative care context. Traditional research methods fall short in early identification and resolution of socio-technical factors, e.g., workflow compatibility, which impact the adoption of digital health innovations. Drawing on the Service Readiness Level Framework, we adopted a phased approach to generating evidence for the CSA. We conducted clinical simulations with seven clinician-simulated patient dyads involving the metastatic lung cancer scenario to examine and address usability and workflow integration issues prior to real-world implementation. Both clinicians and simulated patients perceived the CSA as a valuable tool to support palliative care patients with information recall and self-management. We recommend clinical simulation to de-risk real-world deployment, and optimise the digital health innovations.

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Data availability

The datasets generated during and analysed during the study can be requested via the corresponding author.

References

  1. Office, A. N. A. Expansion of Telehealth Services, https://www.anao.gov.au/work/performance-audit/expansion-telehealth-services#:~:text=Telehealth%20for%20those%20vulnerable%20to,for%20new%20Medicare%20telehealth%20services. (2023).

  2. Zendel, B. R., Power, B. V., DiDonato, R. M. & Hutchings, V. M. M. Memory deficits for health information provided through a telehealth video conferencing system. Front. Psychol. 12, 604074 (2021).

    Google Scholar 

  3. Engel, K. G. et al. Patient comprehension of emergency department care and instructions: are patients aware of when they do not understand?. Ann. Emerg. Med. 53, 454–461.e415 (2009).

    Google Scholar 

  4. Hoek, A. E. et al. Patient discharge instructions in the emergency department and their effects on comprehension and recall of discharge instructions: a systematic review and meta-analysis. Ann. Emerg. Med. 75, 435–444 (2020).

    Google Scholar 

  5. Kessels, R. P. Patients’ memory for medical information. J. R. Soc. Med. 96, 219–222 (2003).

    Google Scholar 

  6. Horwitz, L. I. et al. Quality of discharge practices and patient understanding at an academic medical center. JAMA Intern. Med. 173, 1715–1722 (2013).

    Google Scholar 

  7. Vermeire, E., Hearnshaw, H., Van Royen, P. & Denekens, J. Patient adherence to treatment: three decades of research. A comprehensive review. J. Clin. Pharm. Therapeutics 26, 331–342 (2001).

    Google Scholar 

  8. Oechsle, K., Goerth, K., Bokemeyer, C. & Mehnert, A. Symptom burden in palliative care patients: perspectives of patients, their family caregivers, and their attending physicians. Supportive Care Cancer 21, 1955–1962 (2013).

    Google Scholar 

  9. Kalla, M. et al. Understanding Experiences of Telehealth in Palliative Care: Photo Interview Study. JMIR Hum. Factors 12, e53913 (2025).

    Google Scholar 

  10. Video Call, <https://about.healthdirect.gov.au/video-call> (2025).

  11. Hughes, J., Lennon, M., Rogerson, R. J. & Crooks, G. Scaling Digital Health Innovation: Developing a New ‘Service Readiness Level’ Framework of Evidence. Int J Environ Res Public Health 18 (2021). https://doi.org/10.3390/ijerph182312575

  12. Catriona Parker, P. P., Rashina Hoda, Xiao Chen, Andy Li, Jade Hudson, Emmy Trinh, Dr Heather Craig, Kit Huckvale, Mahima Kalla, Teresa Wulandari, Michael Franco, Chris Bain. (Successes and Failures in Telehealth (SFT)).

  13. Ammenwerth, E. et al. Impact evaluation of innovative technology: estimating the impact of the PSIP solutions. Stud. Health Technol. Inf. 166, 227–233 (2011).

    Google Scholar 

  14. Borycki, E. Trends in health information technology safety: from technology-induced errors to current approaches for ensuring technology safety. Health Inf. Res. 19, 69–78 (2013).

    Google Scholar 

  15. Kushniruk, A. W. et al. Using clinical and computer simulations to reason about the impact of context on system safety and technology-induced error. Stud. Health Technol. Inf. 194, 154–159 (2013).

    Google Scholar 

  16. Lau, K. et al. Evolution of the clinical simulation approach to assess digital health technologies. Future Health J. 10, 173–175 (2023).

    Google Scholar 

  17. Sutton, R. T. et al. An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digit Med. 3, 17 (2020).

    Google Scholar 

  18. Jensen, S., Kushniruk, A. W. & Nøhr, C. Clinical simulation: a method for development and evaluation of clinical information systems. J. Biomed. Inf. 54, 65–76 (2015).

    Google Scholar 

  19. Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003).

    Google Scholar 

  20. Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35, 982–1003 (1989).

    Google Scholar 

Download references

Acknowledgements

This research is supported by the Digital Health Cooperative Research Centre Limited (DHCRC), Monash University, Healthdirect Australia, Monash Health, University of Melbourne, and the Victorian Department of Health. DHCRC is funded under the Commonwealth Government Cooperative Research Centres (CRC) Program. The project described in this paper is supported by the Digital Health Validitron, a collaborative and interdisciplinary research group that assists digital health innovators from healthcare, academia and industry to accelerate the creation of evidence that proves the real-world value of their ideas and products. We acknowledge Gary Wong and Mady Mani who support the technical team within the Validitron. We also acknowledge all our research participants who generously contributed their time towards this research. We also thank A/Prof Daniel Capurro and Dr Omar Dabash for their assistance with clinical simulation rehearsals.

Author information

Author notes
  1. These authors jointly supervised this work, Teresa O’Brien, Kit Huckvale.

Authors and Affiliations

  1. Digital Health Validitron, Centre for Digital Transformation of Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Carlton, VIC, Australia

    Teresa O’Brien, Kit Huckvale, Olivia Metcalf, Wendy Chapman, Hasan Ferdous & Mahima Kalla

  2. Faculty of Information Technology, Monash University, Clayton, VIC, Australia

    Rashina Hoda, Andy Li & Christopher Bain

  3. Department of Supportive and Palliative Care, Monash Health, Clayton, VIC, Australia

    Peter Poon, Laura Bird, Isabella Hall & Emmy Trinh

  4. Department of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC, Australia

    Peter Poon, Laura Bird, Isabella Hall & Emmy Trinh

  5. Alliance for Digital Health at Monash Faculty of Information Technology, Monash University, Clayton, VIC, Australia

    Christopher Bain

  6. Healthdirect Australia, Sydney, NSW, Australia

    Sam Georgy

  7. School of Information and Physical Sciences, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, Australia

    Xiao Chen

Authors
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Contributions

T.O.B.—Conceptualisation, data curation, formal analysis, investigation, methodology, project administration, writing—original draft, writing—review & editing. K.H.—Conceptualisation, investigation, methodology, software, supervision, validation, writing – review & editing. O.M.—Conceptualisation, investigation, methodology, supervision, validation, writing—review & editing. W.C.—Conceptualisation, funding acquisition, investigation, methodology, supervision, validation, writing—review & editing. H.F.—Data curation, investigation. R.H.—Conceptualisation, funding acquisition, software, supervision, validation, writing – review & editing. P.P.—Conceptualisation, funding acquisition, supervision, validation, writing – review & editing. A.L.—Software, investigation. X.C.—Software. L.B.—Writing—review & editing. I.H.—Writing—review & editing. E.T.—Writing—review & editing. C.B.—Conceptualisation, funding acquisition, writing—review & editing. S.G.—Conceptualisation, funding acquisition, software. M.K.—Conceptualisation, data curation, formal analysis, investigation, methodology, project administration, supervision, validation, writing—original draft, writing—review & editing.

Corresponding author

Correspondence to Kit Huckvale.

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Competing interests

The authors declare no competing interests.

Use of Artificial Intelligence

ChatGPT was utilised for proofreading and refinement of language. The authors take full accountability for the work presented in this manuscript.

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Supplementary information

COMMSMED-25-1668-T-s02 (download PDF )

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O’Brien, T., Huckvale, K., Metcalf, O. et al. Using clinical simulation to evaluate a video telehealth consultation summary application. npj Digit. Med. (2026). https://doi.org/10.1038/s41746-026-02506-8

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  • Received: 28 July 2025

  • Accepted: 20 February 2026

  • Published: 11 March 2026

  • DOI: https://doi.org/10.1038/s41746-026-02506-8

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