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Patient Satisfaction

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Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review.

BMJ health & care informatics
OBJECTIVES: Unstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of t...

Machine Learning in Rheumatic Diseases.

Clinical reviews in allergy & immunology
With advances in information technology, the demand for using data science to enhance healthcare and disease management is rapidly increasing. Among these technologies, machine learning (ML) has become ubiquitous and indispensable for solving complex...

Patient satisfaction with a pharmacist-led best possible medication discharge plan via tele-robot in a remote and rural community hospital.

Canadian journal of rural medicine : the official journal of the Society of Rural Physicians of Canada = Journal canadien de la medecine rurale : le journal officiel de la Societe de medecine rurale du Canada
INTRODUCTION: Medication reconciliation (MedRec) reduces the risk of preventable medication-related adverse events (ADEs). A best possible medication discharge plan (BPMDP) is a revised list of medications a patient will take when discharged from hos...

An approach to predicting patient experience through machine learning and social network analysis.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system's performance metrics portfolio. In this study, we developed a machine learning model to predict a patient's response to the Hospital Consumer Asse...

Patients' Perceptions After Robot-Assisted Surgery: An Integrative Review.

AORN journal
Surgical techniques have greatly changed and advanced with the advent of robot-assisted surgery (RAS). Patient outcome measures for RAS generally focus on patient morbidity and mortality, surgical complications, and hospital length of stay; there is ...

The Purpose of Bedside Robots: Exploring the Needs of Inpatients and Healthcare Professionals.

Computers, informatics, nursing : CIN
Robotic systems are used to support inpatients and healthcare professionals and to improve the efficiency and quality of nursing. There is a lack of scientific literature on how applied robotic systems can be used to support inpatients. This study us...

Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss.

Translational behavioral medicine
Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary lapses, represent a key challenge for weight management. Just-in-time adaptive interventions (JITAIs), which collect and analyze data in real time to deli...

The Use of Emotional Artificial Intelligence in Plastic Surgery.

Plastic and reconstructive surgery
BACKGROUND: The use of social media to discuss topics related to and within plastic surgery has become widespread in recent years; however, it remains unclear how to use this abundance of largely untapped data to propagate educational research in the...