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Active studies and recent work


My work is/has been funded by AMS Healthcare, Social Sciences and Humanities Research Council of Canada, Canadian Nurses Foundation, the Brocher Foundation, Roche Canada, UBC Health Innovation Funding Investment (HIFI), UBC Okanagan Multidisciplinary Undergraduate Research Projects in Health (MURPH), Ryerson FCS Covid-19 Rapid Response Grant, UBC School of Nursing Funds

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Funding: UBC Hampton Fund Research Grant (2022-24)

Co-Is: Booth, R., Janke, R., Chan, R., Recsky, C.

Mapping trust in nurses with dimensions of trustworthy artificial intelligence: A scoping review

May 2024: Drafting publication

Is it possible for artificial intelligence (AI) models to demonstrate trustworthiness in ways that world’s consistently most trusted professionals – nurses - are thought to do? Or is it that some dimensions of trustworthiness are only demonstrable by humans? This scoping review and thematic analysis will map and synthesize the evidence on nursing trust and understand parallels to computational understandings of trustworthiness, in order to envision novel approaches to developing trustworthy AI. The outcomes of this research will integrate understandings of trustworthiness from clinical and computational perspectives and generate important and unique insights into future directions for research in trustworthy AI.

Identifying patient‐validated compassion and equity concepts in community care clinical notes through natural language processing

May 2024: Recruiting participants & beginning analysis

Home Care

In this project, we build on the Health Equity Documentation study (below) to develop and test compassion and equity-grounded natural language processing (NLP) application to leverage otherwise unused community nursing clinical notes. Using person-centered approaches, we will merge understandings of equity and compassionate care from the perspectives of community nurses and patients who receive care in the community. These understandings will be used to develop and test an NLP tool that will identify compassion and equity concepts in community nursing clinical notes and explore the prevalence of documentation of these concepts.

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Stakeholder perspectives and impacts of explainable artificial intelligence: A case study in a British Columbia health authority

March 2024: Submitting ethics

This study employs realist methods to explore considerations for health systems operations and clinician end-user implications of developing and implementing explainable AI and clinical decision support tools. Also, we will investigate health system and stakeholders’ perspectives and to understand the underlying mechanisms between explainable AI (XAI) and tools used in making clinical decisions. XAI is a set of processes and methods that allows us humans to understand and develop trust in the results and outputs created by AI algorithms or decision tools. This project will help establish foundational knowledge for future development and implementation of XAI and tools for making clinical decisions in health systems. 

Trusting Others

Funding: Social Sciences and Humanities Research Council of Canada Insight Development Grant (2023-2025)

Co-Is: Conati, C., Currie, L.M., Hamarneh, G., Janke, R., Li, X.

Image by Diana Polekhina

Pre-processing community nursing and allied health data for equity-informed artificial intelligence for interdisciplinary wound care

March 2024: Analyzing SDoH statistics in texts


Funding: UBC Health Innovation Funding Investment (HIFI) Awards (2022-23)

Co-Is: Li, X., Currie, L.M., Block, L., & Beschastnikh, I.

Health equity information (social determinants of health and intersecting social locations) about patients are often captured in narrative clinical notes by nurses and allied health professionals in electronic health records. These data represent an important opportunity to where AI approaches can be leveraged (e.g., to develop predictive risk models that combine text data with image or other structured data). This project aims to complete the resource-intensive data pre-processing step to enable the use of data from two electronic health records to develop equity-informed AI applications.

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Health equity documentation
March 2024: Drafting publications

In this project, we aim to understand community health nurses' conceptualizations and documentation of health equity in electronic health records to establish the foundation for future work using natural language processing to build machine learning predictive risk models.

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Collaborations and Past Projects

A mobile makerspace to support inclusive patient and community-led technology solutions for rural health and wellness

Funding: UBCO MURPH Program (2021-2022)

NPI: Ronquillo, C.

Co-Is: Li, E., & Rush, K.

Designing and developing a cost-effective, immersive-technology based veinfinding device to solve difficult intravenous access in healthcare settings

Funding: UBC Health Innovation Funding Investment (HIFI) Awards (2022-23)

NPI: Milani, A.

Co-Is: Ronquillo, C., Tam, R., Lo, V., Krishnamurthy, R., Zavahir, A.

Artificial Intelligence for Nursing: Ethical, Legal and Social Implications

Funding: Brocher Foundation (Switzerland)

NPI: Ronquillo, C.

Co-Is: Topaz M, Pruinelli L., Peltonen LM, Nibber R, DeForest H.

Knowledge translation: Recorded presentation at 2021 AAiH/Macqarie University Webinar on AI in Nursing

Adoption of speech recognition technology in community healthcare nursing

Funding: UBC Nursing Helen Shore Nursing Endowment Fund

NPI: Ronquillo, C.

Co-PI:s D. Al-Masslawi, L. Block

Barriers, facilitators, and outcomes of a novel interdisciplinary eHealth clinical system to improve pediatric sleep care pathways in British Columbia

Funding: UBC Health Innovation Funding Investment (HIFI) Awards (2022-23) 

NPI: Keys, E.

Co-Is: Ipsirogu, O., Wensley, D., Gabriel, D., Kuo, C., Brown, M.G., Ronquillo, C., Abalde, Q., & McWilliams, S.

The Impact of COVID-19 on Health Informatics: Supporting Health Information Technology Innovation Through Knowledge Synthesis, Transfer and Exchange

Funding: Ryerson FCS COVID-19 Rapid Response Research Grant: Round 1

NPI: Ronquillo, C.

Collaborators: Topaz, M., Peltonen LM., Alhuwail D., Mitchell J., Risling T.

Understanding stakeholders' perspectives on implementing deprescribing in care homes (STOPPING)

Funding: National Institute for Health Research (NIHR) Research for Patient Benefit (UK)

NPI: Warmoth, K.

Co-Is: Stein K, Day JK, Cockroft E. 

Project Advisory Group: Picton L, Valderas, Martinez J, Sims L, Britten N, Lang I, Ronquillo C.

AI-empowered real-time COVID-19 Symptom Monitoring and Prediction among Senior Residents

Funding: ROCHE COVID-19 Innovation Challenge 

NPI: Rahimi, A.S.

Co-Is: Chu, C.H., Ronquillo, C., McGilton K.

Social distancing struggles of apartment-dwelling immigrants: Focusing on co-creating effective strategies

Funding: Ryerson FCS COVID-19 Rapid Response Research Grant: Round 1

NPI: Guruge S.

Co-Is: Sidani S., Lee C., Ronquillo C.

MOBile-health and Implementation Leadership Evaluation (MOBILE) Nurse Study 

Funding: UBC Nursing Helen Shore Nursing Endowment Fund

NPI: Ronquillo, C.

Co-Is: Currie L, Dahinted S, Bungay V.

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