AIMC Topic: Patient-Centered Care

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Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare.

Journal of biomedical informatics
With the rapid development of information technologies, tremendous amount of data became readily available in various application domains. This big data era presents challenges to many conventional data analytics research directions including data ca...

Advancing healthcare innovation with Quality 5.0: a hybrid fuzzy AHP-TOPSIS model for strategic prioritization.

International journal of health care quality assurance
PURPOSE: The present study will outline the systematic approach toward implementing Quality 5.0 in the healthcare industry by focusing on patient-centered innovations. It is concerned with assisting healthcare organizations with digital transformatio...

A model based on artificial intelligence for the prediction, prevention and patient-centred approach for non-communicable diseases related to metabolic syndrome.

European journal of public health
Metabolic syndrome (MetS) is related to non-communicable diseases (NCDs) such as type 2 diabetes (T2D), metabolic-associated steatotic liver disease (MASLD), atherogenic dyslipidaemia (ATD), and chronic kidney disease (CKD). The absence of reliable t...

AI in practice: Opportunities, obstacles, and outlook.

The Nurse practitioner
The integration of artificial intelligence (AI) into clinical practice represents a paradigm shift in healthcare delivery, with significant implications for NPs. This emerging technology offers a myriad of benefits, including enhanced practice effici...

PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care.

European journal of radiology
BACKGROUND: The PRECISE framework, defined as Patient-Focused Radiology Reports with Enhanced Clarity and Informative Summaries for Effective Communication, leverages GPT-4 to create patient-friendly summaries of radiology reports at a sixth-grade re...

Bridging the gap: Evaluating ChatGPT-generated, personalized, patient-centered prostate biopsy reports.

American journal of clinical pathology
OBJECTIVE: The highly specialized language used in prostate biopsy pathology reports coupled with low rates of health literacy leave some patients unable to comprehend their medical information. Patients' use of online search engines can lead to misi...

[Patient-centered medicine in the era of artificial intelligence: what are the possible implications and risks?].

Recenti progressi in medicina
Patient-Centered Care (PCC) is currently recognized as the gold standard for the doctor-patient relationship, and numerous studies associate it with the improvement of various outcomes. However, the advent of artificial intelligence (AI) technologies...

Tabula Rasa: A Case Study in Chronic Pain Management Using Individual-Centric AI.

Studies in health technology and informatics
There are numerous behavioural, social and environmental factors that influence the symptomatology of a chronic health condition. These factors and how they manifest are often very specific to the individual, which creates challenges for applying mac...

Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model-Based Toolkit.

JCO clinical cancer informatics
PURPOSE: Patient-centered outcomes (PCOs) are pivotal in cancer treatment, as they directly reflect patients' quality of life. Although multiple studies suggest that factors affecting breast cancer-related morbidity and survival are influenced by tre...