bluuebunny/crossref_metadata_2025_split huggingface dataset:
Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study
Authors: Cresswell Kathrin , Domínguez Hernández Andrés , Williams Robin , Sheikh Aziz 
Published: October 2021

Background
The use of cloud computing (involving storage and processing of data on the internet) in health care has increasingly been highlighted as having great potential in facilitating data-driven innovations. Although some provider organizations are reaping the benefits of using cloud providers to store and process their data, others are lagging behind.

Objective
We aim to explore the existing challenges and barriers to the use of cloud computing in health care settings and investigate how perceived risks can be addressed.

Methods
We conducted a qualitative case study of cloud computing in health care settings, interviewing a range of individuals with perspectives on supply, implementation, adoption, and integration of cloud technology. Data were collected through a series of in-depth semistructured interviews exploring current applications, implementation approaches, challenges encountered, and visions for the future. The interviews were transcribed and thematically analyzed using NVivo 12 (QSR International). We coded the data based on a sociotechnical coding framework developed in related work.

Results
We interviewed 23 individuals between September 2020 and November 2020, including professionals working across major cloud providers, health care provider organizations, innovators, small and medium-sized software vendors, and academic institutions. The participants were united by a common vision of a cloud-enabled ecosystem of applications and by drivers surrounding data-driven innovation. The identified barriers to progress included the cost of data migration and skill gaps to implement cloud technologies within provider organizations, the cultural shift required to move to externally hosted services, a lack of user pull as many benefits were not visible to those providing frontline care, and a lack of interoperability standards and central regulations.

Conclusions
Implementations need to be viewed as a digitally enabled transformation of services, driven by skill development, organizational change management, and user engagement, to facilitate the implementation and exploitation of cloud-based infrastructures and to maximize returns on investment.
Implementing the Co-Immune Open Innovation Program to Address Vaccination Hesitancy and Access to Vaccines: Retrospective Study
Authors: Masselot Camille , Greshake Tzovaras Bastian , Graham Chris L B , Finnegan Gary , Jeyaram Rathin , Vitali Isabelle , Landrain Thomas , Santolini Marc 
Published: October 2021

Background
The rise of major complex public health problems, such as vaccination hesitancy and access to vaccination, requires innovative, open, and transdisciplinary approaches. Yet, institutional silos and lack of participation on the part of nonacademic citizens in the design of solutions hamper efforts to meet these challenges. Against this background, new solutions have been explored, with participatory research, citizen science, hackathons, and challenge-based approaches being applied in the context of public health.

Objective
Our aim was to develop a program for creating citizen science and open innovation projects that address the contemporary challenges of vaccination in France and around the globe.

Methods
We designed and implemented Co-Immune, a program created to tackle the question of vaccination hesitancy and access to vaccination through an online and offline challenge-based open innovation approach. The program was run on the open science platform Just One Giant Lab.

Results
Over a 6-month period, the Co-Immune program gathered 234 participants of diverse backgrounds and 13 partners from the public and private sectors. The program comprised 10 events to facilitate the creation of 20 new projects, as well as the continuation of two existing projects, to address the issues of vaccination hesitancy and access, ranging from app development and data mining to analysis and game design. In an open framework, the projects made their data, code, and solutions publicly available.

Conclusions
Co-Immune highlights how open innovation approaches and online platforms can help to gather and coordinate noninstitutional communities in a rapid, distributed, and global way toward solving public health issues. Such initiatives can lead to the production and transfer of knowledge, creating novel solutions in the public health sector. The example of Co-Immune contributes to paving the way for organizations and individuals to collaboratively tackle future global challenges.
Information Technology Ambidexterity, Digital Dynamic Capability, and Knowledge Processes as Enablers of Patient Agility: Empirical Study
Authors: van de Wetering Rogier , Versendaal Johan 
Published: October 2021

Background
There is a limited understanding of information technology’s (IT) role as an enabler of patient agility and the department’s ability to respond to patients’ needs and wishes adequately.

Objective
This study aims to contribute to the insights of the validity of the hypothesized relationship among IT resources, practices and capabilities, and hospital departments’ knowledge processes, and the department’s ability to adequately sense and respond to patient needs and wishes (ie, patient agility).

Methods
This study conveniently sampled data from 107 clinical hospital departments in the Netherlands and used structural equation modeling for model assessment.

Results
IT ambidexterity positively enhanced the development of a digital dynamic capability (β=.69; t4999=13.43; P<.001). Likewise, IT ambidexterity also positively impacted the hospital department’s knowledge processes (β=.32; t4999=2.85; P=.005). Both digital dynamic capability (β=.36; t4999=3.95; P<.001) and knowledge processes positively influenced patient agility (β=.33; t4999=3.23; P=.001).

Conclusions
IT ambidexterity promotes taking advantage of IT resources and experiments to reshape patient services and enhance patient agility.
Assessment of Entrustable Professional Activities Using a Web-Based Simulation Platform During Transition to Emergency Medicine Residency: Mixed Methods Pilot Study
Authors: Peng Cynthia R , Schertzer Kimberly A , Caretta-Weyer Holly A , Sebok-Syer Stefanie S , Lu William , Tansomboon Charissa , Gisondi Michael A 
Published: October 2021

Background
The 13 core entrustable professional activities (EPAs) are key competency-based learning outcomes in the transition from undergraduate to graduate medical education in the United States. Five of these EPAs (EPA2: prioritizing differentials, EPA3: recommending and interpreting tests, EPA4: entering orders and prescriptions, EPA5: documenting clinical encounters, and EPA10: recognizing urgent and emergent conditions) are uniquely suited for web-based assessment.

Objective
In this pilot study, we created cases on a web-based simulation platform for the diagnostic assessment of these EPAs and examined the feasibility and acceptability of the platform.

Methods
Four simulation cases underwent 3 rounds of consensus panels and pilot testing. Incoming emergency medicine interns (N=15) completed all cases. A maximum of 4 “look for” statements, which encompassed specific EPAs, were generated for each participant: (1) performing harmful or missing actions, (2) narrowing differential or wrong final diagnosis, (3) errors in documentation, and (4) lack of recognition and stabilization of urgent diagnoses. Finally, we interviewed a sample of interns (n=5) and residency leadership (n=5) and analyzed the responses using thematic analysis.

Results
All participants had at least one missing critical action, and 40% (6/15) of the participants performed at least one harmful action across all 4 cases. The final diagnosis was not included in the differential diagnosis in more than half of the assessments (8/15, 54%). Other errors included selecting incorrect documentation passages (6/15, 40%) and indiscriminately applying oxygen (9/15, 60%). The interview themes included psychological safety of the interface, ability to assess learning, and fidelity of cases. The most valuable feature cited was the ability to place orders in a realistic electronic medical record interface.

Conclusions
This study demonstrates the feasibility and acceptability of a web-based platform for diagnostic assessment of specific EPAs. The approach rapidly identifies potential areas of concern for incoming interns using an asynchronous format, provides feedback in a manner appreciated by residency leadership, and informs individualized learning plans.
Optimal Triage for COVID-19 Patients Under Limited Health Care Resources With a Parsimonious Machine Learning Prediction Model and Threshold Optimization Using Discrete-Event Simulation: Development Study
Authors: Kim Jeongmin , Lim Hakyung , Ahn Jae-Hyeon , Lee Kyoung Hwa , Lee Kwang Suk , Koo Kyo Chul 
Published: October 2021

Background
The COVID-19 pandemic has placed an unprecedented burden on health care systems.

Objective
We aimed to effectively triage COVID-19 patients within situations of limited data availability and explore optimal thresholds to minimize mortality rates while maintaining health care system capacity.

Methods
A nationwide sample of 5601 patients confirmed with COVID-19 until April 2020 was retrospectively reviewed. Extreme gradient boosting (XGBoost) and logistic regression analysis were used to develop prediction models for the maximum clinical severity during hospitalization, classified according to the World Health Organization Ordinal Scale for Clinical Improvement (OSCI). The recursive feature elimination technique was used to evaluate the maintenance of model performance when clinical and laboratory variables were eliminated. Using populations based on hypothetical patient influx scenarios, discrete-event simulation was performed to find an optimal threshold within limited resource environments that minimizes mortality rates.

Results
The cross-validated area under the receiver operating characteristic curve (AUROC) of the baseline XGBoost model that utilized all 37 variables was 0.965 for OSCI ≥6. Compared to the baseline model’s performance, the AUROC of the feature-eliminated model that utilized 17 variables was maintained at 0.963 with statistical insignificance. Optimal thresholds were found to minimize mortality rates in a hypothetical patient influx scenario. The benefit of utilizing an optimal triage threshold was clear, reducing mortality up to 18.1%, compared with the conventional Youden index.

Conclusions
Our adaptive triage model and its threshold optimization capability revealed that COVID-19 management can be achieved via the cooperation of both the medical and health care management sectors for maximum treatment efficacy. The model is available online for clinical implementation.
Use of an iPad App (Aid for Decision-making in Occupational Choice) for Collaborative Goal Setting in Interprofessional Rehabilitation: Qualitative Descriptive Study
Authors: Strubbia Carla , Levack William MM , Grainger Rebecca , Takahashi Kayoko , Tomori Kounosuke 
Published: October 2021

Background
Goal setting is a key part of the rehabilitation process. The use of technology and electronic tools such as smartphone apps and websites has been suggested as a way of improving the engagement of users in meaningful goal setting and facilitating shared decision-making between patients and health professionals.

Objective
This study aims to describe experiences of health professionals and patients in the use of the English language version of the iPad app Aid for Decision-making in Occupational Choice (ADOC) to facilitate collaborative goal setting in rehabilitation.

Methods
We recruited participants from 3 acute and postacute care rehabilitation wards in both public and private organizations in New Zealand. Participants were registered allied health professionals, including physiotherapists, occupational therapists, and speech-language therapists, who engage in goal setting as part of their normal work, and their adult patients. We collected data via semistructured interviews to gather information about the experiences of the participants in the use of ADOC for goal setting. Data were analyzed with thematic analysis.

Results
A total of 8 health professionals and 8 patients participated in the study. Six main themes emerged from the data: changing patients’ perspective on what is possible, changing health professionals’ perspective on what is important, facilitating shared decision-making, lack of guides for users, logistic and organizational barriers, and app-related and technical issues.

Conclusions
Health professionals and patients found ADOC to be a valuable tool when setting shared rehabilitation goals. The use of ADOC promoted a patient-centered approach that empowered patients to engage in collaborative goal setting. The technological limitations of the app that negatively impacted experiences can be addressed in the future implementation of ADOC in rehabilitation settings.
Persuasive Design Solutions for a Sustainable Workforce: Review of Persuasive Apps for Real-Time Capability Support for Rural Health Care Professionals
Authors: Pit Sabrina Winona , Tan Aaron J H , Ramsden Robyn , Payne Kristy , Freihaut Winona , Hayes Oliver , Eames Benjamin , Edwards Mike , Colbran Richard 
Published: October 2021

Background
There is a need to further investigate how persuasive design principles can change rural health professionals’ behaviors to look after their own health workforce capability. Several theories are used when developing apps to persuade people to change behavior, including the Persuasive System Design Model, consisting of primary task, dialogue, system credibility, and social support categories, and Cialdini’s principles of persuasion. These have not been analyzed yet in the field of health workforce capability.

Objective
This study aims to determine the persuasive design techniques used in capability building–related apps and to provide recommendations for designing a health workforce app to increase their persuasiveness.

Methods
A Python script was used to extract a total of 3060 apps from Google Play. Keywords centered around health workforce capability elements. App inclusion criteria were as follows: been updated since 2019, rated by users on average 4 and above, and more than 100,000 downloads. Next, 2 experts reviewed whether 32 persuasive strategies were used in the selected apps, and these were further analyzed by capability categories: competencies and skills, health and personal qualities, values and attitudes, and work organization.

Results
In all, 53 mobile apps were systematically reviewed to identify the persuasive design techniques. The most common were surface credibility (n=48, 90.6%) and liking (n=48), followed by trustworthiness (n=43, 81.1%), reminders (n=38, 71.7%), and suggestion (n=30, 56.6%). The techniques in the social support domain were the least used across the different apps analyzed for health workforce capability, whereas those in the primary task support domain were used most frequently. The recommendations reflect learnings from our analysis. These findings provided insight into mobile app design principles relevant to apps used in improving health workforce capability.

Conclusions
Our review showed that there are many persuasive design techniques that can assist in building health workforce capability. Additionally, several apps are available in the market that can assist in improving health workforce capability. There is, however, a specific lack of digital, real-time support to improve health workforce capability. Social support strategies through using social support persuasive design techniques will need to be integrated more prominently into a health workforce capability app. An app to measure and monitor health workforce capability scores can be used in conjunction with direct real-world person and real-time support to discuss and identify solutions to improve health workforce capability for rural and remote health professionals who are at high risk of burnout or leaving the rural health workforce.
“Is there an Oslo, France, mr. Ashbery?”: las intervenciones públicas de John Ashbery pensadas desde los conceptos de obra e imagen de autor
Authors: Ortega López Iván 
Published: October 2021

En este artículo utilizo grabaciones en audio de intervenciones públicas del poeta John Ashbery para pensar la manera en la que éstas podrían relacionarse con los conceptos de obra e imagen de autor. También reflexiono sobre las posibles maneras en las que el contenido que se encuentra en internet podría modificar la manera en la que se conciben los conceptos mencionados.
Structure and Potential Applications of Polyamide 6/Protein Electro-spun Nano-fibrous Mats in Sorption of Metal Ions and Dyes from Industrial Effluents
Authors: El-Sayed Hosam , Mowafi Salwa , Abou Taleb Marwa , Vineis Claudia 
Published: October 2021

The main objective of this work is the preparation of nano-fibrous mats (NFM) from polyamide 6 (PA6) reinforced and functionalized by renewable proteinic waste and examining their potential use for the sorption of heavy metal ions and dyes from wastewater from textile plants. Two renewable waste biopolymers; namely keratin (from waste of wool combing) and sericin (from degumming of natural silk) were extracted and regenerated. NFM were prepared by electro-spinning of PA6/ biopolymer composites in formic acid using nozzle-less electro-spinneret. The potential of the prepared mats for sorption of Cr+6, Cr+3, Cu+2, and Pb+2 cations as well as anionic and cationic dyes from wastewater was assessed. The prepared composites were characterized by measuring their viscosity, nano-fibre diameter, pore size, thickness, and air permeability. The morphological structure of the electro-spun NFM was investigated by scanning electron Microscopy. Chemical and physical properties of the obtained mat were studied FTIR, TGA, DSC, and XRD. The capacity of the prepared NFM for sorption of cations and dyes depended on the mat composition and the nature of the adsorbed cation or dye.
This work meets some environmental and economic demand by extraction of keratin and sericin from waste materials and their utilization in reinforcement of PA6 NFM for sorption of selected cations as well as dyes from textile effluents.
Potential Use of Intelligent Machine Vision Systems in Forensic Psychological Examination
Authors: Engalychev Vali , Leonova Elena , Havylo Aleksey 
Published: October 2021

The objective of this study is to develop and experimentally verify the expert method of non-contact psychological and physiological diagnostics of emotional and mental state of a person by measuring complex patterns of facial micro-movements beyond the conscious control
of the person through the use of special software, as well as to determine the opportunities and limitations of using this method in forensic psychological examinations. The authors substantiate the prospects of unbiased methods for assessing a person’s emotional and mental state by measuring behavioural patterns using modern digital technologies. The paper identifies the key factors that determine the effectiveness of forensic psychological examination methods.
The results of the study revealed both general regularities to distinguish patterns and their individual characteristics. However, there were no consistently repeated facial patterns that would allow differentiating the initial stimuli of emotional reactions. It was established that the essential factor subject to the evaluation through the analysis of facial expressions is the level of cognitive load, representing the weight of the situation for a certain person. By applying machine-learning method, the authors developed a technology of the binary classification of questions according to the degree of their subjective cognitive complexity based on the facial micro-­movements when a person answers the interview questions.
The predictive model served as the basis for the development of a pilot version of the expert study method to assess the subjective cognitive complexity of the interview questions. The paper provides minimum technical requirements of “Systems of Psychological and Physiolo­gical Studies” software for the analysis of video footage in forensic psychological examination, including standardized requirements for recording an examined person’s facial expressions during the interview. The authors also developed the sequence of the expert’s actions. The paper includes the legal rationale for a new expert study method to be implemented.
National Research and Practice Online Conference with International Participation — “Social Risks in Modern Society” (Murmansk, December 3–4, 2020)
Authors: Zhigunova Galina 
Published: October 2021

The national research and practice online conference with international participation – “Social risks in modern society” was held at the Murmansk Arctic State University to discuss the current problems with respect to the development of today’s society. The academic novelty of the stu­dies presented at the conference is determined by widening of the concepts of the social risk phenomenon, conditions, causes and consequences of risk exposure for individuals, social groups, institutions and the society as a whole; the identification of certain risk factors specific to various regions of Russia and foreign countries; the assessment of the impact of risk events in modern society, including the 2020 pandemic; the identification of risk management mechanisms as well as best practices to prevent and handle risk-related consequences.
A total of 186 attendees, including 8 foreign experts, took part in the conference; 84 papers were presented, most of them were based on the findings of studies undertaken with the support by the Russian Fundamental Research Fund. The conference brought together participants from 22 Russian regions and 5 foreign countries. As a follow-up to the conference, there were deve­loped guidelines on social risk management in today’s context.
Anniversary of the USSR Academy of Sciences in the Victorious 1945: Idea, Celebration Scenario, International Response
Authors: Korzun Valentina , Kovalev Mihail , Gruzdinskaya Viktoriya 
Published: October 2021

The authors focus on the celebration of the 220th anniversary of the USSR Academy of Sciences in 1945. The festive events hosted both due to the anniversary, joyful victory and cease of warfare in Europe were attended by 124 delegates from 17 countries, as well as by nearly 1,000 Soviet academics. The situation was unique in its concept and inspired people with hope for world reconstruction. The occasion was widely publicized, eliciting an extensive response. The anniversary served an occasion to organize the forum where academics discussed their perception of science field in the victorious year of 1945.
Based on a wide range of sources, including foreign archives first introduced to the academia, the paper presents the scenarios of the celebration of the 220th anniversary of the USSR Academy of Sciences, as well as the images of the Russian and Soviet science represented by the academic elite, and their perception by the international scientific community. The authors reveal the factors that influence the establishment and functioning of the communicative field of global science. It is concluded that in a contextual way the anniversary events featured the overestima­ted expectations of new forms of international cooperation, with various forms of collaboration being discussed. However, the triumph over the “unified science” and the establishment of the universal communicative field was temporary.