Predicting Patient No-Shows: Situated Machine Learning with Imperfect Data.

Patients who do not show up for scheduled appointments are a considerable cost and concern in healthcare. In this study, we predict patient no-shows for outpatient surgery at the endoscopy ward of a hospital in Denmark. The predictions are made by training machine leaning (ML) models on available data, which have been recorded for purposes other than ML, and by doing situated work in the hospital setting to understand local data practices and fine-tune the models.

[Not Available].

Extrapulmonary tuberculosis (TB) in the gastrointestinal tract is a rare, but yet an essential differential diagnosis to patients with complex fistula disease, since the initiation of immunosuppressive therapy for presumed Crohn's disease can lead to a fulminant course of TB. This case report presents a young Danish woman with a progressive complex fistula disease, where cause and treatment were uncovered by interprofessional collaboration between pulmonologists, gastroenterologists and surgeons including a screening test for TB as well as multiple biopsies from the anal fistula tissue.

Health Professionals' eHealth Literacy and System Experience Before and 3 Months After the Implementation of an Electronic Health Record System: Longitudinal Study.

Background: The implementation of an integrated electronic health record (EHR) system can potentially provide health care providers with support standardization of patient care, pathways, and workflows, as well as provide medical staff with decision support, easier access, and the same interface across features and subsystems. These potentials require an implementation process in which the expectations of the medical staff and the provider of the new system are aligned with respect to the medical staff's knowledge and skills, as well as the interface and performance of the system. Awareness of the medical staff's level of eHealth literacy may be a way of understanding and aligning these expectations and following the progression of the implementation process.

[International experiences with electronic health records in the hospital sector].

Vast amounts of resources have been invested in electronic health records (EHRs) to improve productivity, quality and patient safety. Systematic reviews of the current empirical research into the effects of EHR systems show that the hopes and promises of digitisation are largely unrealised. As pointed out in this review, there are several possible reasons for these disappointing results, including bad systems design, inappropriate configuration, poor organisational implementation and too little focus on complementary innovations.

[Copy and paste in electronic health records].

In this review, the use of copy-paste (CP) in electronic health records is discussed. CP was introduced in the health sector of USA as a means to reduce the time spent on writing clinical notes. However, CP poses risks to patient safety and the quality of documentation.