Articles

Improving shared decision-making in vascular surgery by implementing decision support tools: study protocol for the stepped-wedge cluster-randomised OVIDIUS trial

Shared decision-making improves the quality of patient care. Unfortunately, shared decision-making is not yet common practice among vascular surgeons. Thus, decision support tools were developed to assist vasc...

Authors: S. M. L. de Mik, F. E. Stubenrouch, D. A. Legemate, R. Balm and D. T. Ubbink

Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives

Several studies highlight the effects of artificial intelligence (AI) systems on healthcare delivery. AI-based tools may improve prognosis, diagnostics, and care planning. It is believed that AI will be an int...

Authors: Pouyan Esmaeilzadeh

Parental understanding of crucial medical jargon used in prenatal prematurity counseling

Parent-clinician shared decision making is the recommended model for the care of premature infants; thus, clinicians provide prenatal prematurity counseling to parents in the event of a mother’s hospitalizatio...

Authors: Nicole M. Rau, Mir A. Basir and Kathryn E. Flynn

LandmarkNet: a 2D digital radiograph landmark estimator for registration

Radiation therapy requires precision to target and escalate the doses to affected regions while reducing the adjacent normal tissue exposed to high radiotherapy doses. Image guidance has become the start of th...

Authors: Zhen Wang, Cong Liu and Longhua Ma

What’s in a name? A comparison of attitudes towards artificial intelligence (AI) versus augmented human intelligence (AHI)

“Artificial intelligence” (AI) is often referred to as “augmented human intelligence” (AHI). The latter term implies that computers support—rather than replace—human decision-making. It is unclear whether the ...

Authors: Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore and Cheristi Cognetta-Rieke

Validation of an EMR algorithm to measure the prevalence of ADHD in the Canadian Primary Care Sentinel Surveillance Network (CPCSSN)

Building and validating electronic algorithms to identify patients with specific disease profiles using health data is becoming increasingly important to disease surveillance and population health management. The...

Authors: Rachael Morkem, Kenneth Handelman, John A. Queenan, Richard Birtwhistle and David Barber

Application of data mining for predicting hemodynamics instability during pheochromocytoma surgery

Surgical resection of pheochromocytoma may lead to high risk factors for intraoperative hemodynamic instability (IHD), which can be life-threatening. This study aimed to investigate the risk factors that could...

Authors: Yueyang Zhao, Li Fang, Lei Cui and Song Bai

Feasibility study to identify women of childbearing age at risk of pregnancy not using any contraception in The Health Improvement Network (THIN) database

Worldwide the rate of unplanned pregnancies is more than 40%. Identifying women at risk of pregnancy can help prevent negative outcomes and also reduce healthcare costs of potential complications. It can also ...

Authors: Lucía Cea Soriano, Alex Asiimwe, Mieke Van Hemelrijck, Cecilia Bosco and Luis A. García Rodríguez

Grand Duchy of Luxembourg: a case study of a national master patient index in production since five years

Unequivocal identification of patients is a precondition for a safe medical journey through different information systems (ISs) and software applications that are communicating and exchanging interoperable dat...

Authors: Raffaella Vaccaroli, Frédéric Markus, Samuel Danhardt, Heiko Zimmermann, Francois Wisniewski, Pascale Lucas and Hervé Barge

Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches

One of the most challenging tasks for bladder cancer diagnosis is to histologically differentiate two early stages, non-invasive Ta and superficially invasive T1, the latter of which is associated with a signi...

Authors: Peng-Nien Yin, Kishan KC, Shishi Wei, Qi Yu, Rui Li, Anne R. Haake, Hiroshi Miyamoto and Feng Cui

Implementing a system for the real-time risk assessment of patients considered for intensive care

Delay in identifying deterioration in hospitalised patients is associated with delayed admission to an intensive care unit (ICU) and poor outcomes. For the HAVEN project (HICF ref.: HICF-R9–524), we have devel...

Authors: Simarjot S. Dahella, James S. Briggs, Paul Coombes, Nazli Farajidavar, Paul Meredith, Timothy Bonnici, Julie L. Darbyshire and Peter J. Watkinson

Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases

The healthcare sector is an interesting target for fraudsters. The availability of a great amount of data makes it possible to tackle this issue with the adoption of data mining techniques, making the auditing...

Authors: Michela Carlotta Massi, Francesca Ieva and Emanuele Lettieri

Staff perspectives on the usability of electronic patient records for planning and delivering dementia care in nursing homes: a multiple case study

The electronic patient record (EPR) has been introduced into nursing homes in order to facilitate documentation practices such as assessment and care planning, which play an integral role in the provision of d...

Authors: Kate Shiells, Angie Alejandra Diaz Baquero, Olga Štěpánková and Iva Holmerová

Caregivers' role in using a personal electronic health record: a qualitative study of cancer patients and caregivers in Germany

Particularly in the context of severe diseases like cancer, many patients wish to include caregivers in the planning of treatment and care. Many caregivers like to be involved but feel insufficiently enabled. ...

Authors: Aline Weis, Sabrina Pohlmann, Regina Poss-Doering, Beate Strauss, Charlotte Ullrich, Helene Hofmann, Dominik Ose, Eva C. Winkler, Joachim Szecsenyi and Michel Wensing

Implementation of data access and use procedures in clinical data warehouses. A systematic review of literature and publicly available policies

The promises of improved health care and health research through data-intensive applications rely on a growing amount of health data. At the core of large-scale data integration efforts, clinical data warehous...

Authors: Elena Pavlenko, Daniel Strech and Holger Langhof

Validation of the effectiveness of a digital integrated healthcare platform utilizing an AI-based dietary management solution and a real-time continuous glucose monitoring system for diabetes management: a randomized controlled trial

Despite the numerous healthcare smartphone applications for self-management of diabetes, patients often fail to use these applications consistently due to various limitations, including difficulty in inputting...

Authors: Sung Woon Park, Gyuri Kim, You-Cheol Hwang, Woo Je Lee, Hyunjin Park and Jae Hyeon Kim

Modelling clinical experience data as an evidence for patient-oriented decision support

Evidence-based Clinical Decision Support Systems (CDSSs) usually obtain clinical evidences from randomized controlled trials based on coarse-grained groups. Individuals who are beyond the scope of the original...

Authors: Junyi Yang, Liang Xiao and Kangning Li

A machine learning framework for accurately recognizing circular RNAs for clinical decision-supporting

Circular RNAs (circRNAs) are those RNA molecules that lack the poly (A) tails, which present the closed-loop structure. Recent studies emphasized that some circRNAs imply different functions from canonical tra...

Authors: Yidan Wang, Xuanping Zhang, Tao Wang, Jinchun Xing, Zhun Wu, Wei Li and Jiayin Wang

A prognostic index based on a fourteen long non-coding RNA signature to predict the recurrence-free survival for muscle-invasive bladder cancer patients

Bladder cancer (BC) is regarded as one of the most fatal cancer around the world. Nevertheless, there still lack of sufficient markers to predict the prognosis of BC patients. Herein, we aim to establish a pro...

Authors: Xiaolong Zhang, Meng Zhang, Xuanping Zhang, Xiaoyan Zhu and Jiayin Wang

KGHC: a knowledge graph for hepatocellular carcinoma

Hepatocellular carcinoma is one of the most general malignant neoplasms in adults with high mortality. Mining relative medical knowledge from rapidly growing text data and integrating it with other existing bi...

Authors: Nan Li, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin and Jian Wang

Hybrid phenotype mining method for investigating off-target protein and underlying side effects of anti-tumor immunotherapy

It is of utmost importance to investigate novel therapies for cancer, as it is a major cause of death. In recent years, immunotherapies, especially those against immune checkpoints, have been developed and bro...

Authors: Yuyu Zheng, Xiangyu Meng, Pierre Zweigenbaum, Lingling Chen and Jingbo Xia

The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia

With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important out...

Authors: Wenyan Tan, Haicheng Lin, Baoxin Lei, Aihua Ou, Zehui He, Ning Yang, Fujun Jia, Heng Weng and Tianyong Hao

Interpretable clinical prediction via attention-based neural network

The interpretability of results predicted by the machine learning models is vital, especially in the critical fields like healthcare. With the increasingly adoption of electronic healthcare records (EHR) by th...

Authors: Peipei Chen, Wei Dong, Jinliang Wang, Xudong Lu, Uzay Kaymak and Zhengxing Huang

Consumer health information needs in China – a case study of depression based on a Social Q&A community

The social Q&A community quickly becomes a popular platform for consumers to find health information because of its convenience and interactivity.

Authors: Wang Zhao, Peixin Lu, Siwei Yu and Long Lu

A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction

With the rapid development of sequencing technologies, collecting diverse types of cancer omics data become more cost-effective. Many computational methods attempted to represent and fuse multiple omics into a...

Authors: Kaiwen Tan, Weixian Huang, Jinlong Hu and Shoubin Dong

A mobile app for Glaucoma diagnosis and its possible clinical applications

Nowadays, the latent power of technology, which can offer innovative resolutions to disease diagnosis, has awakened high-level anticipation in the community of patients as well as professionals. An easy-to-use...

Authors: Fan Guo, Weiqing Li, Xin Zhao, Junfeng Qiu and Yuxiang Mai

Healthcare knowledge of relationship between time series electrocardiogram and cigarette smoking using clinical records

In the few studies of clinical experience available, cigarette smoking may be associated with ischemic heart disease and acute coronary events, which can be reflected in the electrocardiogram (ECG). However, t...

Authors: Kuo-Kun Tseng, Jiaqian Li, Yih-Jing Tang, Ching Wen Yang and Fang-Ying Lin

Identifying diagnosis evidence of cardiogenic stroke from Chinese echocardiograph reports

Cardiogenic stroke has increasing morbidity in China and brought economic burden to patient families. In cardiogenic stroke diagnosis, echocardiograph examination is one of the most important examinations. Son...

Authors: Lu Qin, Xiaowei Xu, Lingling Ding, Zixiao Li and Jiao Li

A benchmark dataset and case study for Chinese medical question intent classification

To provide satisfying answers, medical QA system has to understand the intentions of the users’ questions precisely. For medical intent classification, it requires high-quality datasets to train a deep-learnin...

Authors: Nan Chen, Xiangdong Su, Tongyang Liu, Qizhi Hao and Ming Wei

Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units

Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in healthcare domains. Recent years have seen a great progress of applying RL in addressing decis...

Authors: Chao Yu, Guoqi Ren and Yinzhao Dong

Enhanced character-level deep convolutional neural networks for cardiovascular disease prediction

Electronic medical records contain a variety of valuable medical information for patients. So, when we are able to recognize and extract risk factors for disease from EMRs of patients with cardiovascular disea...

Authors: Zhichang Zhang, Yanlong Qiu, Xiaoli Yang and Minyu Zhang

ECCParaCorp: a cross-lingual parallel corpus towards cancer education, dissemination and application

The increasing global cancer incidence corresponds to serious health impact in countries worldwide. Knowledge-powered health system in different languages would enhance clinicians’ healthcare practice, patient...

Authors: Hetong Ma, Feihong Yang, Jiansong Ren, Ni Li, Min Dai, Xuwen Wang, An Fang, Jiao Li, Qing Qian and Jie He

Prediction of blood culture outcome using hybrid neural network model based on electronic health records

Blood cultures are often performed to detect patients who has a serious illness without infections and patients with bloodstream infections. Early positive blood culture prediction is important, as bloodstream...

Authors: Ming Cheng, Xiaolei Zhao, Xianfei Ding, Jianbo Gao, Shufeng Xiong and Yafeng Ren

Using predictive process monitoring to assist thrombolytic therapy decision-making for ischemic stroke patients

Although clinical guidelines provide the best practice for medical activities, there are some limitations in using clinical guidelines to assistant decision-making in practical application, such as long update...

Authors: Haifeng Xu, Jianfei Pang, Xi Yang, Mei Li and Dongsheng Zhao

Multi-modality self-attention aware deep network for 3D biomedical segmentation

Deep learning based on segmentation models have been gradually applied in biomedical images and achieved state-of-the-art performance for 3D biomedical segmentation. However, most of existing biomedical segmen...

Authors: Xibin Jia, Yunfeng Liu, Zhenghan Yang and Dawei Yang

A semi-supervised approach for extracting TCM clinical terms based on feature words

A semi-supervised model is proposed for extracting clinical terms of Traditional Chinese Medicine using feature words.

Authors: Liangliang Liu, Xiaojing Wu, Hui Liu, Xinyu Cao, Haitao Wang, Hongwei Zhou and Qi Xie

Differentially private release of medical microdata: an efficient and practical approach for preserving informative attribute values

Various methods based on k-anonymity have been proposed for publishing medical data while preserving privacy. However, the k-anonymity property assumes that adversaries possess fixed background knowledge. Althoug...

Authors: Hyukki Lee and Yon Dohn Chung

Development of an algorithm to detect and reduce complexity of drug treatment and its technical realisation

The increasing complexity of current drug therapies jeopardizes patient adherence. While individual needs to simplify a medication regimen vary from patient to patient, a straightforward approach to integrate ...

Authors: Viktoria S. Wurmbach, Steffen J. Schmidt, Anette Lampert, Eduard Frick, Michael Metzner, Simone Bernard, Petra A. Thürmann, Stefan Wilm, Achim Mortsiefer, Attila Altiner, Lisa Sparenberg, Joachim Szecsenyi, Frank Peters-Klimm, Petra Kaufmann-Kolle, Walter E. Haefeli and Hanna M. Seidling

Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review

Electronic personal health records (ePHRs) are defined as electronic applications through which individuals can access, manage, and share health information in a private, secure, and confidential environment. ...

Authors: Zahra Niazkhani, Esmaeel Toni, Mojgan Cheshmekaboodi, Andrew Georgiou and Habibollah Pirnejad

Sparse multi-output Gaussian processes for online medical time series prediction

For real-time monitoring of hospital patients, high-quality inference of patients’ health status using all information available from clinical covariates and lab test results is essential to enable successful ...

Authors: Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li and Barbara E Engelhardt

Differential influences of social support on app use for diabetes self-management – a mixed methods approach

Recent studies increasingly examine social support for diabetes self-management delivered via mHealth. In contrast to previous studies examining social support as an outcome of technology use, or technology as...

Authors: Nicola Brew-Sam, Arul Chib and Constanze Rossmann

Application of standardised effect sizes to hospital discharge outcomes for people with diabetes

Patients with diabetes are at an increased risk of readmission and mortality when discharged from hospital. Existing research identifies statistically significant risk factors that are thought to underpin thes...

Authors: Tim Robbins, Sarah N. Lim Choi Keung, Sailesh Sankar, Harpal Randeva and Theodoros N. Arvanitis

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status

Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied ...

Authors: Carole H. Sudre, Jasmina Panovska-Griffiths, Eser Sanverdi, Sebastian Brandner, Vasileios K. Katsaros, George Stranjalis, Francesca B. Pizzini, Claudio Ghimenton, Katarina Surlan-Popovic, Jernej Avsenik, Maria Vittoria Spampinato, Mario Nigro, Arindam R. Chatterjee, Arnaud Attye, Sylvie Grand, Alexandre Krainik…

A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort

Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical question is the need for a biopsy. Accurate risk stratification of patients before a biopsy can allow for individualised...

Authors: Amirhossein Jalali, Robert W. Foley, Robert M. Maweni, Keefe Murphy, Dara J. Lundon, Thomas Lynch, Richard Power, Frank O’Brien, Kieran J. O’Malley, David J. Galvin, Garrett C. Durkan, T. Brendan Murphy and R. William Watson

Composite CDE: modeling composite relationships between common data elements for representing complex clinical data

Semantic interoperability is essential for improving data quality and sharing. The ISO/IEC 11179 Metadata Registry (MDR) standard has been highlighted as a solution for standardizing and registering clinical d...

Authors: Hye Hyeon Kim, Yu Rang Park, Suehyun Lee and Ju Han Kim

Cybersecurity of Hospitals: discussing the challenges and working towards mitigating the risks

Authors: Salem T. Argaw, Juan R. Troncoso-Pastoriza, Darren Lacey, Marie-Valentine Florin, Franck Calcavecchia, Denise Anderson, Wayne Burleson, Jan-Michael Vogel, Chana O’Leary, Bruce Eshaya-Chauvin and Antoine Flahault

Surgical workflow simulation for the design and assessment of operating room setups in orthopedic surgery

The design and internal layout of modern operating rooms (OR) are influencing the surgical team’s collaboration and communication, ergonomics, as well as intraoperative hygiene substantially. Yet, there is no ...

Authors: Juliane Neumann, Christine Angrick, Celina Höhn, Dirk Zajonz, Mohamed Ghanem, Andreas Roth and Thomas Neumuth

How good is our diagnostic intuition? Clinician prediction of bacteremia in critically ill children

Clinical intuition and nonanalytic reasoning play a major role in clinical hypothesis generation; however, clinicians’ intuition about whether a critically ill child is bacteremic has not been explored. We end...

Authors: Katherine E. M. Hoops, James C. Fackler, Anne King, Elizabeth Colantuoni, Aaron M. Milstone and Charlotte Woods-Hill

A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS

As a kind of widely distributed disease in China, acquired immune deficiency syndrome (AIDS) has been quickly growing each year, become a serious problem and caused serious damage to the life and health of peo...

Authors: Zeming Li and Yanning Li

An exploratory study of public’ awareness about robotics-assisted surgery in Kuwait

The adoption of robotic-assisted surgery (RAS) requires a clear willingness, not only from healthcare organization to operate the robotic system but also from the public that is going to perceive it. This stud...

Authors: Ali Jasem Buabbas, Saad Aldousari and Abrar Abdulmohsen Shehab