Sustainability is playing an increasingly important role in healthcare organizations, but improving the environmental impact in healthcare remains a challenge. The aim of this research is to develop a model that allows healthcare professionals to assess and improve the sustainability performance of their organization or department. Do you want to learn more? Click here for more information.

Marieke Sijm et al

This study looked at two different methods to measure the effect of organizational factors on ICU performance in Brazil and Uruguay. The used methods were causal random forest and linear regression modelling. Both methods found that the number of nurses per ten beds improved ICU efficiency. Causal random forest was able to spot areas where overall results might not seem significant. This approach could help hospital managers to improve ICU efficiency.

Ferishta Raiez, et el. DOI: 10.1016/j.ijmedinf.2024.105568

This study focused on young adults who began kidney replacement therapy during childhood. Almost 3000 patients were included. Results showed that having a kidney transplant at age 18 led to better outcomes than being on dialysis, but these patients still had a shorter life expectancy compared to the general population. Between 18 and 23 years, about 20% of the kidney transplant patients lost their graft, and one-third of the patients remained on dialysis. Want to learn more? Click here for more information.

Iris Montez de Sousa et al. DOI:10.1093/ndt/gfae189

This study aims to understand how Dutch dermatologists experienced teledermatology. Results of the web-based questionnaire showed that dermatologists had a positive experience with teledermatology. However, the insufficient quality and incompleteness of the clinical content (photos and anamneses information) of the teledermatology consultation impacted the efficiency of the teledermatology workflow and thus needs improvements. The panel discussion enriched and confirmed the responses. Want to learn more? Click here for more information.

Femke van Sinderen et al. DOI: 10.2196/56723

This scoping review identified studies that used Artificial Intelligence (AI) to optimize medication alerts in hospitals. The researchers found 10 relevant studies, with only 30% reporting both statistical and clinical outcomes. Alerts optimized using AI-based methods resulted in a decreased alert burden, increased identification of inappropriate or atypical prescriptions, and enabled prediction of user responses.  Two of the 10 studies implemented AI alerts in hospitals, and none underwent external validation. Want to learn more? Click here for more information.

Jetske Graafsma, Rachel Murphy et al. DOI: 10.1093/jamia/ocae076