Jemima Winifred Allen
Biographic Data
| ID | 9294161 |
|---|---|
| NAME | Jemima Winifred Allen |
| GIVEN NAMES | Jemima Winifred |
| FAMILY NAME | Allen |
| SIGNATURE | ALLEN J W |
| AFFILIATIONS | University of Oxford |
| ORCID | 0000-0002-3950-9950 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
AI-assisted consent in paediatric medicine
Obtaining informed consent in paediatrics is an essential yet ethically complex aspect of clinical practice. Children have varying levels of autonomy and understanding based on their age and developmental maturity, with parents traditionally playing a central role in decision-making. However, there is increasing recognition of children’s evolving capacities and their right to be involved in care decisions, raising questions about facilitating mea…
Which AI doctor would you like to see? Emulating healthcare provider–patient communication models with GPT-4
Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider–patient communication. However, some have raised the concern that such communication may adopt implicit communication norms that deviate from what patients want or need from talking with their healthcare provider. This paper explores the possibility of using LLMs to enable patients to choose their preferred communication …
Empowering Patient Autonomy
The principle of (respect for) patient autonomy has traditionally emphasized independence in medical decision‐making, reflecting a broader commitment to epistemic individualism. However, recent philosophical work has challenged this view, suggesting that autonomous decisions are inherently dependent on epistemic and social supports. Wilkinson and Levy's “scaffolded model” of autonomy demonstrates how our everyday decisions rely on distributed cog…
When Is It Safe to Introduce an AI System Into Healthcare? A Practical Decision Algorithm for the Ethical Implementation of Black‐Box AI in Medicine
There is mounting global interest in the revolutionary potential of AI tools. However, its use in healthcare carries certain risks. Some argue that opaque (‘black box’) AI systems in particular undermine patients' informed consent. While interpretable models offer an alternative, this approach may be impossible with generative AI and large language models (LLMs). Thus, we propose that AI tools should be evaluated for clinical use based on their i…
Is Consent-GPT valid? Public attitudes to generative AI use in surgical consent
Healthcare systems often delegate surgical consent-seeking to members of the treating team other than the surgeon (e.g., junior doctors in the UK and Australia). Yet, little is known about public attitudes toward this practice compared to emerging AI-supported options. This first large-scale empirical study examines how laypeople evaluate the validity and liability risks of using an AI-supported surgical consent system ( Consent-GPT ). We randoml…
Augmenting research consent
The integration of artificial intelligence (AI), particularly large language models (LLMs) like OpenAI’s ChatGPT, into clinical research could significantly enhance the informed consent process. This paper critically examines the ethical implications of employing LLMs to facilitate consent in clinical research. LLMs could offer considerable benefits, such as improving participant understanding and engagement, broadening participants’ access to th…
Respecting formerly autonomous persons
Consent-GPT
Obtaining informed consent from patients prior to a medical or surgical procedure is a fundamental part of safe and ethical clinical practice. Currently, it is routine for a significant part of the consent process to be delegated to members of the clinical team not performing the procedure (eg, junior doctors). However, it is common for consent-taking delegates to lack sufficient time and clinical knowledge to adequately promote patient autonomy …
No prominent works on this page.
Consent-GPT
Obtaining informed consent from patients prior to a medical or surgical procedure is a fundamental part of safe and ethical clinical practice. Currently, it is routine for a significant part of the consent process to be delegated to members of the clinical team not performing the procedure (eg, junior doctors). However, it is common for consent-taking delegates to lack sufficient time and clinical knowledge to adequately promote patient autonomy …
Augmenting research consent
The integration of artificial intelligence (AI), particularly large language models (LLMs) like OpenAI’s ChatGPT, into clinical research could significantly enhance the informed consent process. This paper critically examines the ethical implications of employing LLMs to facilitate consent in clinical research. LLMs could offer considerable benefits, such as improving participant understanding and engagement, broadening participants’ access to th…
Respecting formerly autonomous persons
AI-assisted consent in paediatric medicine
Obtaining informed consent in paediatrics is an essential yet ethically complex aspect of clinical practice. Children have varying levels of autonomy and understanding based on their age and developmental maturity, with parents traditionally playing a central role in decision-making. However, there is increasing recognition of children’s evolving capacities and their right to be involved in care decisions, raising questions about facilitating mea…
Which AI doctor would you like to see? Emulating healthcare provider–patient communication models with GPT-4
Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider–patient communication. However, some have raised the concern that such communication may adopt implicit communication norms that deviate from what patients want or need from talking with their healthcare provider. This paper explores the possibility of using LLMs to enable patients to choose their preferred communication …
Empowering Patient Autonomy
The principle of (respect for) patient autonomy has traditionally emphasized independence in medical decision‐making, reflecting a broader commitment to epistemic individualism. However, recent philosophical work has challenged this view, suggesting that autonomous decisions are inherently dependent on epistemic and social supports. Wilkinson and Levy's “scaffolded model” of autonomy demonstrates how our everyday decisions rely on distributed cog…
When Is It Safe to Introduce an AI System Into Healthcare? A Practical Decision Algorithm for the Ethical Implementation of Black‐Box AI in Medicine
There is mounting global interest in the revolutionary potential of AI tools. However, its use in healthcare carries certain risks. Some argue that opaque (‘black box’) AI systems in particular undermine patients' informed consent. While interpretable models offer an alternative, this approach may be impossible with generative AI and large language models (LLMs). Thus, we propose that AI tools should be evaluated for clinical use based on their i…
Is Consent-GPT valid? Public attitudes to generative AI use in surgical consent
Healthcare systems often delegate surgical consent-seeking to members of the treating team other than the surgeon (e.g., junior doctors in the UK and Australia). Yet, little is known about public attitudes toward this practice compared to emerging AI-supported options. This first large-scale empirical study examines how laypeople evaluate the validity and liability risks of using an AI-supported surgical consent system ( Consent-GPT ). We randoml…
Artificial Intelligence in Healthcare and Education (5 works) · Computer Science (5 works) · Informed consent (5 works) · Law (5 works) · Medicine (5 works) · Political science (5 works) · Psychology (5 works) · Autonomy (4 works) · Ethics in Clinical Research (4 works) · Health care (4 works)