Need assessment and development of a mobile-based medication dosage calculation application for ICU nurses
This study aimed to develop a medication dosage calculation application for nurses in ICUs. This study was performed in teaching hospitals of Kerman University of Medical Sciences in 2018. The required features was determined in a need assessment survey of nurses. As well, two specialists were interviewed to determine the medications used in the ICUs. Then, the application was developed using formative usability testing. Overall, 80% of the participants (n = 120) answered the survey. Nineteen out of 29 features determined in the survey, and 25 medications selected by the specialists and participants were used to devel...
Source: Health and Technology - January 18, 2023 Category: Information Technology Source Type: research
Using machine learning to predict nosocomial infections and medical accidents in a NICU
ConclusionThe GMERT-RI algorithm is a powerful tool. It is well suited to unearth potential correlations in the context of unbalanced panel data and discrete health outcomes, two common features of clinical data. In the particular setting of a NICU, we find that institutional features (overtime hours, occupancy rates, etc.) are just as important drivers as neonate-specific medical conditions in predicting medical accidents and health care associated infections. From an operational point of view, prediction trees can complement traditional management tools in preventing undesirable health outcomes in the NICU. (Source: Health and Technology)
Source: Health and Technology - January 17, 2023 Category: Information Technology Source Type: research
ML technologies for diagnosing and treatment of tuberculosis: a survey
ConclusionsKnowledge of the state-of-the-art in the application of ML technologies in TB management and the identified research directions is beneficial for researchers and healthcare experts. It is recommended that policymakers should develop a mechanism to support the adoption of best practice of ML technologies regulations in the country's healthcare sector. (Source: Health and Technology)
Source: Health and Technology - January 16, 2023 Category: Information Technology Source Type: research
Identification of problems in picture archiving and communication systems management using text mining
ConclusionsThis study identified 14 types of problems in dealing with PACS management and clarified the relationships between the PACS problems and the characteristics of the medical facilities. (Source: Health and Technology)
Source: Health and Technology - January 14, 2023 Category: Information Technology Source Type: research
Correction to: Patients undergoing multiple 18F ‑FDG PET/CT scans: frequency, clinical indications, and cumulative dose
(Source: Health and Technology)
Source: Health and Technology - January 13, 2023 Category: Information Technology Source Type: research
Impact of industry 4.0 on healthcare systems of low- and middle- income countries: a systematic review
ConclusionsThe study provides researchers, health-care practitioners and systems engineers with knowledge on the state-of-the-art in healthcare systems optimisation and points out research gaps that may be addressed through future empirical studies. (Source: Health and Technology)
Source: Health and Technology - January 7, 2023 Category: Information Technology Source Type: research
SPECT/CT-based dosimetry of salivary glands and iodine-avid lesions following 131I therapy
ConclusionIt was inferred that dose estimation after RIT with SPECT/CT is feasible to apply, together with good agreement with published124I PET/CT dose estimates. A broad and sub-effective dose range was estimated for thyroid residues and distal lesions. Moreover, the current methodology might be useful for establishing a dose –effect relationship and radiation-induced salivary glands damage after RIT. (Source: Health and Technology)
Source: Health and Technology - January 6, 2023 Category: Information Technology Source Type: research
A systematic scoping review of digital health technologies during COVID-19: a new normal in primary health care delivery
AbstractThis scoping review compiled information concerning digital health technologies (DHTs) evolution to support primary health care (PHC) during COVID-19 and lessons for the future of PHC. The identified literature was published during the COVID-19 peak years (2019 –2021), retrieved from PubMed, Scopus, and Google Scholar, as well as hand searched on the internet. Predefined inclusion criteria were used, thematic analysis was applied, and reporting followed the PRISMA for Scoping Reviews.A total of 46 studies were included in the final synthesis (40 articles, one book, two book chapters, one working paper, and two te...
Source: Health and Technology - January 6, 2023 Category: Information Technology Source Type: research
SPECT/CT-based dosimetry of salivary glands and iodine-avid lesions following 131I therapy
ConclusionIt was inferred that dose estimation after RIT with SPECT/CT is feasible to apply, together with good agreement with published124I PET/CT dose estimates. A broad and sub-effective dose range was estimated for thyroid residues and distal lesions. Moreover, the current methodology might be useful for establishing a dose –effect relationship and radiation-induced salivary glands damage after RIT. (Source: Health and Technology)
Source: Health and Technology - January 6, 2023 Category: Information Technology Source Type: research
