Reset
Showing 20 of 1,964 academic articles

European network for Health Technology Assessment, EUnetHTA: Planning, development, and implementation of a sustainable European network for Health Technology Assessment

Finn Børlum Kristensen, Marjukka Mākelä, Susanna Allgurin Neikter, Nina Rehnqvist et al. • International Journal of Technology Assessment in Health Care (2009)

OBJECTIVES: The European network on Health Technology Assessment (EUnetHTA) aimed to produce tangible and practical results to be used in the various phases of health technology assessment and to establish a framework and processes to suppo...

OPENALEX DOI: https://doi.org/10.1017/s0266462309990754

Evidence Center structural and operational conditions and challenges: a descriptive study, Brazil, 2024

Y. Juliana Cardozo Amaya, Pedro Henrique Alves Santos, Aurelina Aguiar Lima, Camila Lasse Silva et al. • Epidemiologia e Serviços de Saúde (2026)

Abstract Objective: To describe the physical, structural and operational conditions, as well as the main challenges faced by Evidence Centers (NEvs) recognized by the Evidence-Informed Policy Network (EVIPNet) Brazil. Methods: This is a...

DOAJ Open Access (DOAJ) DOI: 10.1590/s2237-96222026v35e20250457.en

HEALTH TECHNOLOGY ASSESSMENT EVIDENCE ON E-HEALTH/M-HEALTH TECHNOLOGIES: EVALUATING THE TRANSPARENCY AND THOROUGHNESS

Vladimir Vuković, Carlo Favaretti, Walter Ricciardi, Chiara de Waure • International Journal of Technology Assessment in Health Care (2018)

OBJECTIVES: Evaluation is crucial for integration of e-Health/m-Health into healthcare systems and health technology assessment (HTA) could offer sound methodological basis for these evaluations. Aim of this study was to look for HTA report...

OPENALEX DOI: https://doi.org/10.1017/s0266462317004512

Time dynamics of symptom progression in patients with acute pancreatitis: a Dynamic Time Warping analysis

Rui Han, Xiaoyu Deng, Hebing Liu, Yujie Duan et al. • Frontiers in Medicine (2025)

BackgroundAcute pancreatitis (AP) morbidity has been increasing in recent years. Patients with AP exhibit highly variable symptom patterns over time, posting challenges to traditional analytical methods. Dynamic Time Warping (DTW) effective...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2025.1703268

International diffusion of new health technologies: A ten-country analysis of six health technologies

Claire Packer, Sue Simpson, Andrew J Stevens, (on behalf of EuroScan: the European Information Network on New and Changing Health Technologies) • International Journal of Technology Assessment in Health Care (2006)

OBJECTIVES: The objective of this study was to examine and explain the differential international diffusion of six health innovations. METHODS: A retrospective diffusion study was undertaken of sildenafil, cyclooxygenase-II (COX II) inhibit...

OPENALEX DOI: https://doi.org/10.1017/s0266462306051336

The new definition of health technology assessment: A milestone in international collaboration

Brian P. O’Rourke, Wija Oortwijn, Tara Schuller, the International Joint Task Group • International Journal of Technology Assessment in Health Care (2020)

BACKGROUND: An international joint task group co-led by the International Network of Agencies for Health Technology Assessment (INAHTA) and Health Technology Assessment International (HTAi) has developed a new and internationally accepted d...

OPENALEX Open Access DOI: https://doi.org/10.1017/s0266462320000215

Molecular Informatics, Chemometrics, and Sensory Omics for Constructing an Umami Peptide Cluster Library Across the Entire Lager Beer Brewing Process

Yashuai Wu, Ruiyang Yin, Wenjing Tian, Wanqiu Zhao et al. • Foods (2026)

Umami taste in lager beer not only determined body fullness and the backbone of aftertaste, but also affected the controllability and interpretability of flavor expression across the entire brewing process. Based on stage-wise sampling, pep...

DOAJ Open Access (DOAJ) DOI: 10.3390/foods15040641

Reported Challenges in Health Technology Assessment of Complex Health Technologies

Milou A. Hogervorst, Rick A. Vreman, Aukje Kaija Mantel-Teeuwisse, Wim Goettsch • Value in Health (2021)

OBJECTIVES: With complex health technologies entering the market, methods for health technology assessment (HTA) may require changes. This study aimed to identify challenges in HTA of complex health technologies. METHODS: A survey was sent ...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.jval.2021.11.1356

Population dataset for 23 Y-STR in the Merkit clan form Kazakh population

Bekzhan Faizov, Alizhan Bukayev, Zhaxylyk Sabitov, Maxat Zhabagin • Data in Brief (2024)

This study presents a comprehensive analysis of 23 Y-STR data for the Merkit clan, a subgroup within the Kerey tribe of the Kazakh people. A total of 64 complete haplotypes were generated using the PowerPlex Y23 System. The data obtained us...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2024.110160

Exploring barriers and enablers to implementing a digital mental health crisis risk mitigation pathway in acute paediatric care: A multi-site, exploratory mixed-methods study

Takawira C Marufu, Jane Coad, Zaki Albelbisi, Tim Carter et al. • Digital Health (2026)

Objective Children and young people (CYP) presenting in mental health crisis to acute paediatric settings represent a growing clinical and system-level challenge. These environments, primarily designed for physical healthcare, frequently la...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076261431890

Disrupted Functional Connectivity of Cornu Ammonis Subregions in Amnestic Mild Cognitive Impairment: A Longitudinal Resting-State fMRI Study

Hui Li, Hui Li, Xiuqin Jia, Xiuqin Jia et al. • Frontiers in Human Neuroscience (2018)

Background: The cornu ammonis (CA), as part of the hippocampal formation, represents a primary target region of neural degeneration in amnestic mild cognitive impairment (aMCI). Previous studies have revealed subtle structural deficits of t...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnhum.2018.00413

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Qingquan Chen, Zeshun Chen, Xi Zhu, Jiajing Zhuang et al. • Digital Health (2024)

Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241287363

Medical informatics education.

Nicos Maglaveras • PubMed (1998)

Medical Informatics is a multidisciplinary field, dealing mainly with informatics and technology applications in health care. Medical Informatics is composed from a number of sub-areas such as computer based patient record (CPR), processing...

OPENALEX DOI: https://doi.org/10.3233/978-1-60750-900-4-135

Mapping Intellectual Structure of Health Literacy Area Based on Co-Word Analysis in Web of Science Database during the Years 1993-2017

Fatemeh Baji, Fereydoun Azadeh, Parastoo Parsaei-Mohammadi, Shoukat Parmah • مدیریت اطلاعات سلامت (2018)

Introduction: Creating an image of the conceptual structure of health literacy area, as well as the study of interdisciplinary and the relationship between its domains seems necessary. The present study examined the intellectual structure o...

DOAJ Open Access (DOAJ) DOI: 10.22122/him.v15i3.3577

Optimal@NRW: optimized acute care of nursing home residents using an intersectoral telemedical cooperation network — study protocol for a stepped-wedge trial

David Brücken, Jenny Unterkofler, Sophie Pauge, Jonas Bienzeisler et al. • Trials (2022)

Abstract Background Increasing life expectancy is associated with a growing number of people living in nursing homes, while the availability of outpatient medical care, especially from family doctors, is stagnating in this sector. Consequen...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13063-022-06613-1

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health (2022)

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076221120317

Implementing and Evaluating a National Integrated Digital Registry and Clinical Decision Support System in Early Intervention in Psychosis Services (Early Psychosis Informatics Into Care): Co-Designed Protocol

Siân Lowri Griffiths, Graham K Murray, Yanakan Logeswaran, John Ainsworth et al. • JMIR Research Protocols (2024)

BackgroundEarly intervention in psychosis (EIP) services are nationally mandated in England to provide multidisciplinary care to people experiencing first-episode psychosis, which disproportionately affects deprived and ethnic minority yout...

DOAJ Open Access (DOAJ) DOI: 10.2196/50177

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine (2026)

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02849-2