Patient-Oriented Questionnaires and Machine Learning for Rare Disease Diagnosis: A Systematic Review.

A major challenge faced by patients with rare diseases (RDs) often stems from delays in diagnosis, typically due to nonspecific clinical symptoms or doctors' limited experience in connecting symptoms to the underlying RD. Using patient-oriented questionnaires (POQs) as a data source for machine learning (ML) techniques can serve as a potential solution. These questionnaires enable patients to portray their day-to-day experiences living with their condition, irrespective of clinical symptoms.

Impact of virtual reality on peri-interventional pain, anxiety and distress in a pediatric oncology outpatient clinic: a randomized controlled trial.

Purpose: Pain and anxiety-inducing interventions have a major impact on pediatric patients. Pain reduction by virtual reality (VR) during port and vein punctures is well studied. This study investigates peri-interventional reduction of pain, anxiety and distress using VR compared to the standard of care (SOC) in a pediatric oncology outpatient clinic.

Exploring different stakeholders' perspectives on ward rounds in paediatric oncology: a qualitative study.

Rational/aims And Objectives: Ward rounds are a core routine for interprofessional communication and clinical care planning: Health care professionals and patients meet regularly and it encourages patients to actively participate. In paediatric oncology, the long treatment process, the serious diagnosis, and involvement of both patients and their parents in shared-decision-making require specific ward round skills. Despite its high value for patient-centred care, a universal definition of ward round is lacking.