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Health information system support for collaboration between physicians and registered nurses: National cross-sectional user experience surveys from 2010 to 2023
Background
In addition to storing patient data, health information systems (HISs) should advance continuity and quality of care by supporting collaboration between physicians and registered nurses (RNs). Our aim was to study how physicians and RNs experience this support and how the situation has evolved from 2010 to 2023.
Methods
Nationwide usability-focused cross-sectional surveys were conducted among Finnish physicians in 2010, 2014, 2017, and 2021 and RNs in 2017, 2020, and 2023. For this study, we selected respondents (1807–2555 physicians and 1126–1950 RNs) working in public sector wards and outpatient clinics and using the six largest electronic health record (EHR) system brands. Eight statements related to collaboration were analyzed by professional group and study year.
Results
Although both professional groups rated HIS support for collaboration and information exchange between physicians and RNs relatively positively (42–69% agreed), their experiences had not improved much over the years. Continuity of care was considered good by 34–54% of physicians and 51–58% of RNs. Half of respondents were dissatisfied with the readability of nursing documentation (52–56% of physicians and 30–37% of RNs) and support for noticing new orders (40–46% of physicians and 26–36% of RNs). Only 7–30% of all respondents felt that patient summary views provided by EHR systems helped to form an overall picture of the patient’s situation; however, the proportion did improve over the years.
Conclusions
HISs were considered to better support collaboration among their own professional group than between physicians and RNs. As reviewing patient information forms a basis for decision making and high-quality care, EHR development should not only focus on ordering and documentation tools but also on securing multiprofessional utilization of data. Indeed, the varied needs of professional groups should be recognized in the early stages of the development process
Translation into a low-resource language system: the ability of ChatGPT to create texts in Andalusian dialect of Spanish language
Outcome of Lung Cancer Surgery and Proportion of Lung Cancer Patients Eligible for Operation in Five Finnish Hospitals in Year 2018
Toxicological properties of semi-volatile organic compounds in exhaust emissions from internal combustion engine vehicles
Major regional differences in the use of labor analgesia in Finland – A national register study
Introduction
Labor analgesia should be equally available to every woman giving birth. However, previous studies have found notable regional differences between countries and regions in the use of epidural analgesia. We aim to evaluate the trends in the use of different labor analgesia methods in Finnish hospital districts.
Material and methods
We performed a nationwide retrospective register-based cohort study. From January 1, 2007 to December 31, 2019, we collected vaginal birth data concerning used labor analgesia from the national Finnish Medical Birth Register. Cesarean sections were excluded because of the missing labor analgesia data from the elective operations. Data were grouped and interpreted based on 19 hospital districts in Finland.
Results
There were 567 593 vaginal births during the years 2007–2019. Major differences were observed in the use of labor analgesia between hospital districts. The trends also varied during the study period within the same hospital district. Neuraxial analgesia was the most used during the study period – on average 63.6 % of the deliveries had neuraxial analgesia. It was followed by nitrous oxide by 58.0 %. Interestingly, the rates of non-pharmaceutical analgesia increased the most during the study period.
Conclusions
The results showed major differences in the use of different labor analgesia methods between Finnish hospital districts, and the analgesia policies do not seem to be nationwide
Reuse of social media data in corpus linguistics
The use of very large social media datasets in corpus linguistics has obvious benefits. Such data represent a novel source of evidence when compared with structured digital text corpora. However, there is a clear need to assess critically how the effective reuse of data can be handled, how findings can be reproduced, and how results can be generalized. A relevant question concerns the presentation of data to ensure reproducibility and replicability. This article surveys the state-of-the-art of descriptions of data collection and methodological transparency in 30 studies that used Twitter/X as their data. The empirical section investigates how easy it would be to reproduce a study based on these descriptions. While we concentrate on evidence from one social media application, the discussion continues to a presentation of concrete steps that might be used to improve data management related to the reuse, discovery, and evaluation of social media data in general