Scoping review on the economic aspects of machine learning applications in healthcare.

Background: The development and use of artificial intelligence and machine learning technologies in healthcare have increased, prompting a need for evidence on their safety and value. Economic evaluations support healthcare decision-making and resource allocation. This scoping review aimed to map and synthesize current approaches to evaluating the economic aspects of machine learning based technologies implemented in healthcare.

Advancing AI initiatives in nursing academics: Case studies and insights from thought leaders.

Artificial Intelligence (AI) is transforming the landscape of health care and nursing research and education. As key stakeholders in this transformation, nursing faculty are crucial in driving strategic and operational AI initiatives to develop appropriate competence within the workforce to ensure the safe application of these technologies in nursing and care. To discuss the ways nursing faculty can be actively involved in AI initiatives, a panel was convened at the Third International Workshop on Artificial Intelligence in Nursing (AINurse24).

Impact of Digital Interventions on Health Service Quality in Home Care: Preliminary Results of an Umbrella Review.

Evaluating the impact of digital interventions on organisational and care outcomes helps evidence-informed managerial decisions about the integration of digital technologies into home care. Hence, the aim of this review was to map the evidence of the impact of digital interventions on health service quality in varying home care contexts. Results show limited evidence of the impact of digital interventions on health service quality in home care.

Development of a Tool for the Assessment of Information-Driven Operations Management by Nurse Leaders.

Nurse leaders are crucial in managing daily nursing activities and ensuring the smooth operation of healthcare units. However, integrating the vast amount of information in healthcare into their decision-making processes remains a challenge. This study reports on developing a tool to assess nurse leaders' ability to reflect on their needs, tools and use of information in operations management.

Development and Validation of Statements on Nursing Digital Capabilities for Climate-Resilient Healthcare Systems.

Building on our previous research on nurses' adoption and use of digital technology during the COVID-19 pandemic and guided by the Health Emergency and Disaster Risk Management framework, we initiated a study to develop recommendations for including nursing digital capabilities for public health emergency preparedness (PHEP). While this study comprises three phases: 1) Identifying framework elements through case studies and a scoping review; 2) Conducting two e-Delphi survey rounds followed by an expert consensus meeting; and 3) Framework implementtaion, this paper reports on the development and content validation of the nursing PHEP digital capabilities framework statements.

Implementing a Nordic-Baltic Federated Health Data Network: A Case Report.

Centralized collection and processing of healthcare data across national borders pose significant challenges, including privacy concerns, data heterogeneity, and legal barriers. To study some of these challenges, we formed an interdisciplinary consortium to develop a federated health data network, comprised of six institutions across five countries, to facilitate Nordic-Baltic cooperation on secondary use of health data. The objective of this report is to offer early insights into our experiences developing this network.

Evaluating Semantic Interoperability: A Preliminary Study on Finnish Nursing Documentation and the LEP Nursing Intervention Classification.

There is an international need to share health data across countries through ecosystems such as the European Health Data Space to improve access and promote both primary and secondary use of health data. The aim of this study was to explore the implications of coding nursing interventions with multiple classification systems on nursing documentation. Electronic health records originally captured via the Finnish Care Classification System (FinCC) were coded with the LEP Nursing 3 intervention classification to gain an understanding of the implications of applying different nursing classification systems.

Determining the ground truth for the prediction of delirium in adult patients in acute care: a scoping review.

Objective: Delirium is a severe condition, often underreported and linked to adverse outcomes such as increased mortality and prolonged hospitalization. Despite its significance, delirium prediction is often hindered by underreporting and inconsistent labeling, highlighting the need for models trained on reliably labeled data (ground truth). This review examines (i) practices for determining labels in delirium prediction models and (ii) how study designs affect label quality, aiming to identify key considerations for improving model reliability.

Connecting Academia and Industry Through Communities of Practice in the Informatics Domain.

Healthcare is rapidly evolving, with both academic institutions and industry playing critical roles in shaping its future. This paper explores the application of the community of practice (CoP) framework connecting these sectors in the context of health informatics supported by the European Federation for Medical Informatics (EFMI). We demonstrate how to explore and foster collaboration, build capacity, and disseminate knowledge across academic institutions and industry based on the principles of the CoP framework.

Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience.

The era of artificial intelligence (AI) and big data presents significant opportunities for implementing federated health data networks across national borders. However, these opportunities are accompanied by substantial challenges. This study documents barriers and facilitators identified during the early phases of establishing the Nordic-Baltic Federated Health Data Network, prior to technical implementation.

Identifying Patient Satisfaction from Electronic Health Record Data - A Retrospective Register Study.

The aim of this study was to review the potential of electronic health record (EHR) data to automatically identify key concepts related to patient satisfaction in cardiac care. A randomised sample of EHR data from 500 cardiac patients were screened for feature extraction, identifying 187 terms describing patient satisfaction. The predictive positive value (PPV) for positive descriptions was high, indicating the value of EHRs and narrative documentation when developing tools to measure patient satisfaction.

The Quality of Fundamental Care as Perceived by Nurses and Patients in a Hospital Setting: A Descriptive Comparative Study.

Aim: To describe and compare nurses' perceptions of the quality of fundamental care and related factors before and after a clinical development project, and to describe patients' perceptions of the quality of fundamental care.

Design: A descriptive, comparative study design.

Methods: Data were collected online from nurses in 2015 and 2021 with a structured questionnaire exploring fundamental care through 12 areas at the beginning and the end of a clinical developmental project.

Exploring care pathways of patients conveyed by emergency medical services (EMS) through electronic health records.

Background: Emergency Medical Services (EMS) and Emergency Departments (ED) have reported increased patient volumes in the last decades. Despite high rates of non-conveyance decisions, unnecessary conveyances by EMS still occur. The aim of this study was to explore care pathways of conveyed patients by EMS through registry data.

Social Determinants of Health in Digital Health Policies: an International Environmental Scan.

Introduction: Social Determinants of Health (SDoH) include factors such as economic stability, education, social and community context, healthcare access, and the physical environment, which shape an individual's health and well-being. Given that the inclusion of SDoH factors is essential in improving the quality and equity of digital health, this study aims to examine how SDoH is incorporated within digital health policies internationally.

Methods: An environmental scan of digital health policies was conducted, including relevant documents from multiple countries and global organizations.

A Comparison Between a Resuscitation Glove and Standard Manual Compressions on the Quality of Cardiovascular Resuscitation: Manikin-Based Randomized Crossover Trial.

Background: Several audiovisual feedback (AVF) devices have been developed to monitor chest compression quality during cardiopulmonary resuscitation (CPR). However, most marketed stand-alone AVF devices are inflexible and rigid, causing discomfort and sometimes pain to the rescuers' hands.

Objective: The objective of this study was to evaluate the effectiveness and usability of a newly developed soft and flexible resuscitation glove designed to improve the quality of chest compressions during CPR.

An AI-Enabled Nursing Future With no Documentation Burden: A Vision for a New Reality.

Aims: To explore the potential of multimodal large language models in alleviating the documentation burden on nurses while enhancing the quality and efficiency of patient care.

Design: This position paper is informed by expert discussions and a literature review.

Methods: We extensively reviewed nursing documentation practices and advanced technologies, such as multimodal large language models.

Digital health readiness - insights from healthcare leaders in operational management: a cross-sectional survey.

Background: Developing countries' public health systems struggle with digital health implementation, and reports of low digital health readiness exist within the workforce. This study investigates the perceived digital health readiness of healthcare leaders in operational management to implement digital health tools.

Methods: A cross-sectional survey using the E-Ready 2.

The rate and predictors of violence against EMS personnel.

Background: Violence against Emergency Medical Services (EMS) personnel vary between studies. Current studies are mainly based on self-reporting, thus other designs are needed to provide more perspective. The purpose of this study was to explore the rate and predictors of violent behavior targeted at EMS personnel by exploring the Electronic patient care records (ePCR) documentation by EMS personnel.

Exploring Delays in Cardiac Care Processes Through Electronic Health Records.

Cardiovascular diseases are the leading cause of death globally. Timely health services are fundamental to the appropriate prevention, identification, care and rehabilitation of these diseases. This study aimed to explore the potential of using electronic health records as a data source to help identify health system -related delays in care processes of cardiac patients.

Building Bridges for Federated Learning in Healthcare: Review on Approaches for Common Data Model Development.

Common data models provide a standardized way to represent data used in federated learning tasks. The aim of this review was to explore the development and use of common data models to harmonize electronic health record data in health research. The data search yielded 724 records, of which 19 were included for this study.

Navigating the Global Landscape of Nursing Informatics Research Collaboration: A Blueprint for Success.

International collaboration is crucial in the field of nursing informatics research to enhance our ability to conduct globally relevant research that informs policy and practice. In this case study we describe how we have established an international research collaboration to evaluate nurses' experiences of technology use during the pandemic. We firstly describe how the collaboration was created and the successes associated with our work, before highlighting the facilitators to make an international collaboration work.

Future Needs in Nursing Informatics - Preliminary Findings from the Global Nursing Informatics Survey.

This study investigates the evolving landscape of nursing informatics by conducting a follow-up survey initiated by the International Medical Informatics Association (IMIA) Students and Emerging Professionals (SEP) Nursing Informatics (NI) group in 2015 and 2019. The participants were asked to describe what they thought should be done in their institutions and countries to advance nursing informatics in the next 5-10 years. For this paper, responses in English acquired by December 2023 were analysed using inductive content analysis.

Information Management in Hospital Unit Daily Operations: A Descriptive Study With Nurses and Physicians.

Operations management of a hospital unit is a shared activity involving nursing and medical professionals, characterized by suddenly changing situations, constant interruptions, and ad hoc decision-making. Previous studies have explored the informational needs affecting decision-making, but only limited information has been collected regarding factors affecting information management related to the daily operations of hospital units. The aim of this study was to describe the experiences of nursing and medical professionals of information management in the daily operations of hospital units.

A rapid review on current and potential uses of large language models in nursing.

Background: The application of large language models across commercial and consumer contexts has grown exponentially in recent years. However, a gap exists in the literature on how large language models can support nursing practice, education, and research. This study aimed to synthesize the existing literature on current and potential uses of large language models across the nursing profession.