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We present a reduced-order model for fluid-structure interaction (FSI) simulation of vocal fold vibration during phonation. This model couples the three-dimensional (3D) tissue mechanics and a one-dimensional (1D) flow model that is derived from the momentum and mass conservation equations for the glottal airflow. The effects of glottal entrance and pressure loss in the glottis are incorporated in the flow model. We consider both idealized vocal fold geometries and subject-specific anatomical geometries segmented from the MRI images of rabbits. For the idealized vocal fold geometries, we compare the simulation results from the 1D/3D hybrid FSI model with those from the full 3D FSI simulation based on an immersed-boundary method. For the subject-specific geometries, we incorporate previously estimated tissue properties for individual samples and compare the results with those from the high-speed imaging experiment of in vivo phonation. In both setups, the comparison shows good agreement in the vibration frequency, amplitude, phase delay, and deformation pattern of the vocal fold, which suggests potential application of the present approach for future patient-specific modeling.Introduction The advancement of gender equality within radiology, a predominantly male profession, has currently been a significant concern. Aim Therefore, in this original study, we aimed to investigate the gender disparity in Vietnamese radiological societies. Methods No ethical committee or institutional review board approval was needed since the data were publicly available. In this retrospective study, we evaluated the faculties of four main radiological societies in Vietnam Vietnamese society of radiology and nuclear medicine (VSRNM, n = 67); Radiological society of Ho Chi Minh City (RSHCM, n = 25); Vietnamese society of ultrasound in medicine (VSUM, n = 29); and Vietnamese society of interventional radiology (VSIR, n = 18). Results There are significantly fewer women than men in faculties of four main radiological societies (15.1% vs. 84.9%). None of the women served as a professor and leader of any radiological societies. The women with a doctor of philosophy level are relatively low among the four main radiological societies. Also, female interventional and pediatric radiologists are seriously low among four main radiological societies. Conclusions In Vietnamese radiological societies, gender disparities exist, especially about educational degrees and professorship positions. Future studies are essential to address the underlying roots of the gender gap and aid in the implementation of gender diversity programs and policies. check details © 2020 Nguyen Minh Duc, Huynh Quang Huy, Bilgin Keserci, Pham Minh Thong.Introduction Health in all Policies (HiAP) is a valuable method for effective Healthcare policy development. Big data analysis can be useful to both individuals and clinicians so that the full potential of big data is employed. Aim The present paper deals with Health in All Policies, and how the use of Big Data can lead and support the development of new policies. Methods To this end, in the context of the CrowdHEALTH project, data from heterogeneous sources will be exploited and the Policy Development Toolkit (PDT) model will be used. In order to facilitate new insights to healthcare by exploiting all available data sources. Results In the case study that is being proposed, the NOHS Story Board (inpatient and outpatient health care) utilizing data from reimbursement of disease-related groups (DRGs), as well as medical costs for outpatient data, will be analyzed by the PDT. Conclusion PDT seems promising as an efficient decision support system for policymakers to align with HiAP as it offers Causal Analysis by calculating the total cost (expenses) per ICD-10, Forecasting Information by measuring the clinical effectiveness of reimbursement cost per medical condition, per gender and per age for outpatient healthcare, and Risk Stratification by investigating Screening Parameters, Indexes (Indicators) and other factors related to healthcare management. Thus, PDT could also support HiAP by helping policymakers to tailor various policies according to their needs, such as reduction of healthcare cost, improvement of clinical effectiveness and restriction of fraud. © 2020 Alice G. Vassiliou, Christina Georgakopoulou, Alexandra Papageorgiou, Spiros Georgakopoulos, Spiros Goulas, Theodors Paschalis, Panagiotis Paterakis, Parisis Gallos, Dimos Kyriazis, Vassilis Plagianakos.Introduction NCDs (non-communicable diseases) are considered an important social issue and a financial burden to the health care systems in the EU which can be decreased if cost-effective policies are implemented, along with proactive interventions. The CrowdHEALTH project recognizes that NCD poses a burden for the healthcare sector and society and aims at focusing on NCDs' public health policies. Aim The aim of this paper is to present the concept of Public Health Policy (PHP), elaborate on the state-of-the-art of PHPs development, and propose a first approach to the modeling and evaluation of PHPs used in a toolkit that is going to support decision making, the Policy Development Toolkit (PDT). Methods The policy creation module is a part of the PDT aiming to integrate the results of the rest of the health analytics and policy components. It is the module that selects, filters, and aggregates all relevant information to help policy-makers with the decision making process. The policies creation component is c evaluation, KPIs are used as measurable indicators to help prevent ambiguity problems in the interpretation of the model and the structure. Conclusions This initial Policy creation component design might be modified during the project life circle according to the concept complexity. © 2020 Konstantinos Moutselos, Ilias Maglogiannis, Dimosthenis Kyriazis, Andrea Gil Granados, Vassilis Plagianakos, Alexandra Papageorgiu, Septimiu Nechifor, John Mantas, Andriana Magdalinou, Lydia Montandon.Introduction Due to healthcare information systems interoperability issues, health-related events may be missed. Numerous techniques based on medical standards and technologies have been recommended to address this challenge. Nevertheless, these techniques do not follow a holistic approach. Aim The purpose of the paper is to present the structure mapping service which is developed in the context of the initial design of the interoperability solution of the CrowdHEALTH project. Methods In the CrowdHEALTH project, subcomponents responsible for providing the appropriate interoperability solution have been created with first the rule engine for the implementation of the business logic. Another subcomponent responsible for creating and managing the knowledge related to the link that exists between information structures, or mappings between them, is the Structure Mapping Service. The envisioned approach for structure mapping is based on ontology alignment. Besides, the Terminology Service is responsible for providing a set of operations on medical terminologies used for the coding of medical knowledge, which fills the information structures.