AIMC Topic: Patient-Centered Care

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The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions.

BMC medical informatics and decision making
Artificial intelligence (AI) is often cited as a possible solution to current issues faced by healthcare systems. This includes the freeing up of time for doctors and facilitating person-centred doctor-patient relationships. However, given the novelt...

Artificial Intelligence in Health: Enhancing a Return to Patient-Centered Communication.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
The medical environment is on the verge of a dramatic transformation as artificial intelligence (AI) evolves. With the inevitable shift toward AI in health care delivery, there are concerns around its implementation, including ethics, privacy, data r...

Word Embedding and Clustering for Patient-Centered Redesign of Appointment Scheduling in Ambulatory Care Settings.

AMIA ... Annual Symposium proceedings. AMIA Symposium
. A key to a more efficient scheduling systems is to ensure appointments are designed to meet patient's needs and to design and simplify appointment scheduling less prone to error. Electronic Health Records (EHR) consist of valuable information about...

Using natural language processing to understand, facilitate and maintain continuity in patient experience across transitions of care.

International journal of medical informatics
BACKGROUND: Patient centred care necessitates that healthcare experiences and perceived outcomes be considered across all transitions of care. Information encoded within free-text patient experience comments relating to transitions of care are not ca...

Moving Forward in the Next Decade: Radiation Oncology Sciences for Patient-Centered Cancer Care.

JNCI cancer spectrum
In a time of rapid advances in science and technology, the opportunities for radiation oncology are undergoing transformational change. The linkage between and understanding of the physical dose and induced biological perturbations are opening entire...

Digital Twins for Multiple Sclerosis.

Frontiers in immunology
An individualized innovative disease management is of great importance for people with multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional disease. However, an individual state of the art strategy, with precise adj...

Patient-Centered Appointment Scheduling: a Call for Autonomy, Continuity, and Creativity.

Journal of general internal medicine
When making an appointment, patients are generally unaware of how much clinician time is available to address their concerns. Similarly, the primary care clinician is often unaware of what the patient expects to accomplish during the visit, leading t...

Decision analysis and reinforcement learning in surgical decision-making.

Surgery
BACKGROUND: Surgical patients incur preventable harm from cognitive and judgment errors made under time constraints and uncertainty regarding patients' diagnoses and predicted response to treatment. Decision analysis and techniques of reinforcement l...

The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI.

Artificial intelligence in medicine
The problem of the explainability of AI decision-making has attracted considerable attention in recent years. In considering AI diagnostics we suggest that explainability should be explicated as 'effective contestability'. Taking a patient-centric ap...