Abstract
Background
Healthcare AI promises major efficiency gains but faces a persistent trust gap. While patients often appreciate AI’s neutrality, many remain sceptical about its empathy and fairness.
Objective
This paper examines how patient trust in AI forms, fractures, and can be strengthened through “adaptive neutrality”, an interaction model that calibrates AI tone and behaviour according to clinical context.
Methods
Drawing on original deployment data from Aide Health’s NHS programmes alongside peer-reviewed studies from the University of Southern California and the University of Arizona, we analyse both behavioural and attitudinal evidence of patient trust.
Healthcare AI promises major efficiency gains but faces a persistent trust gap. While patients often appreciate AI’s neutrality, many remain sceptical about its empathy and fairness.
Objective
This paper examines how patient trust in AI forms, fractures, and can be strengthened through “adaptive neutrality”, an interaction model that calibrates AI tone and behaviour according to clinical context.
Methods
Drawing on original deployment data from Aide Health’s NHS programmes alongside peer-reviewed studies from the University of Southern California and the University of Arizona, we analyse both behavioural and attitudinal evidence of patient trust.
Abstract
Background
Chronic disease drives the majority of healthcare demand, yet systems remain built for episodic, provider-led care. As workforces shrink and costs rise, self-management has become the only scalable path forward, with over 80% of long-term condition care already occurring outside the clinic.
Objective
This paper examines the evidence that patient self-management, supported by digital health tools, represents the only scalable model of healthcare delivery capable of meeting rising demand.
Methods
Drawing on NHS workforce projections, global cost analyses, and implementation data from Aide Health’s NHS asthma programme, the paper synthesises economic, behavioural, and clinical evidence from peer-reviewed sources.
Chronic disease drives the majority of healthcare demand, yet systems remain built for episodic, provider-led care. As workforces shrink and costs rise, self-management has become the only scalable path forward, with over 80% of long-term condition care already occurring outside the clinic.
Objective
This paper examines the evidence that patient self-management, supported by digital health tools, represents the only scalable model of healthcare delivery capable of meeting rising demand.
Methods
Drawing on NHS workforce projections, global cost analyses, and implementation data from Aide Health’s NHS asthma programme, the paper synthesises economic, behavioural, and clinical evidence from peer-reviewed sources.
