Criteria for Determining the Need for Admission of People with Dementia to Dementia Nursing Wards of Psychiatric Hospitals in Japan

Purpose: This study aims to establish criteria to determine the need for admission of people with dementia to dementia nursing wards of psychiatric hospitals—based on the experience of nurses working in dementia nursing wards. Methods: Semi-structured interviews were conducted with nurses who had worked in dementia nursing wards of psychiatric hospitals for more than 3 years, to collect data related to the “condition at the time of admission and the process of hospitalization of dementia patients”. Data were analyzed using the content analysis approach. Focusing on “What is the condition of patients with dementia admitted to the dementia nursing ward?”, we created codes according to similarities in the meaning, and classified these into categories where they were evaluated to fully fit in. Results and Discussion: The analysis yielded 4 categories, and 44 codes. The four categories are as follows: [Appearance of a state where self-control is difficult] which expresses a state where behavioral and psychological symptoms of dementia (BPSD) have appeared, and the remaining three categories [Insufficient support provided], [Appearance of symptoms that make living difficult], and [Appearance of physical symptoms that require treatment] express the states that may trigger the appearance of BPSD. These show that the appearance of BPSD is a criterion for determining hospitalization. By providing support to prevent the states described in the 44 codes, nurses may help people with dementia avoid being hospitalized in dementia nursing wards in psychiatric hospitals.

An artificial intelligence diabetes management architecture based on 5G

Along with the development of 5G network and Internet of Things technologies,there has been an explosion in personalized healthcare systems.When the 5G and Artificial Intelligence(Al)is introduced into diabetes management architecture,it can increase the efficiency of existing systems and complications of diabetes can be handled more effectively by taking advantage of 5G.In this article,we propose a 5G-based Artificial Intelligence Diabetes Management architecture(AIDM),which can help physicians and patients to manage both acute complications and chronic complications.The AIDM contains five layers:the sensing layer,the transmission layer,the storage layer,the computing layer,and the application layer.We build a test bed for the transmission and application layers.Specifically,we apply a delay-aware RA optimization based on a double-queue model to improve access efficiency in smart hospital wards in the transmission layer.In application layer,we build a prediction model using a deep forest algorithm.Results on real-world data show that our AIDM can enhance the efficiency of diabetes management and improve the screening rate of diabetes as well.

The healthcare environment—The importance of aesthetic surroundings: Health professionals’ experiences from a surgical ward in Finland

There is a growing acceptance of the vital role patient centered design plays in shaping the environment. Art can be of use in every area of health care. It is within the power of each person to share and interpret experience by means of the arts, by viewing the work of others, and by using feelings and imagination. Health professionals [n = 24 of a total of n = 35], answered the Wheel Questionnaire test instrument. It measures structure, motivation/engagement, and degree of emotional investment in a situation. Participants were requested to describe, in their own words, their perception of the enrichment of the ward interiordesign and the double-sided photos with a short poetic text, and the photo-book placed at each patient room. The results demonstrate that participants are motivated, structured and emotionally engaged when describing the new enrichment. The domains and themes are: Social interaction domain;rising thoughts and conversations. Comfort domain;atmosphere. Aesthetic do main;enrichment of the working environment. It could be concluded that the surgical ward environmental enrichment stimulated conversations between health professionals and between health professionals and patients and should be regarded as an important aspect in hospital planning.

Impact of metabolism and the clothing thermal resistance on inpatient thermal comfort

For the purpose that relieves the suffering of the patients and shortens their hospital stay,it is crucial to design and manage the environment control systems reasonably to maintain an appropriate indoor thermal environment.However,all of the current thermal comfort theories are based on a healthy population.There are significant differences in metabolism and clothing thermal resistance between inpatients and healthy people,which are re-garded as vital influenced factors on people’s thermal comfort.Therefore,these existing thermal comfort models may not be applicable for inpatients.In this paper,the patients’comfort equation was derived by modifying the metabolism and the clothing thermal resistance based on the thermal comfort model of Professor Fanger,and the rationality of the model was tested by using field experiment data obtained in general wards.Vali-dated by t-tests,the value of AMV and PMV calculated by the modified equation is not markedly different on a 5%significant level for all patients lying on bed in winter.Moreover,the typical comfort diagrams of inpa-tients were established by solving the thermal comfort equation.The results of this study are intended to assist in the formulation of useful guidelines to facilitate the assessment and management of hospital ward thermal environments.