Articles

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

GUIP1: a R package for dose escalation strategies in phase I cancer clinical trials

The main objective of phase I cancer clinical trials is to identify the maximum tolerated dose, usually defined as the highest dose associated with an acceptable level of severe toxicity during the first cycle...

Authors: D. Dinart, J. Fraisse, D. Tosi, A. Mauguen, C. Touraine, S. Gourgou, M. C. Le Deley, C. Bellera and C. Mollevi

Pre-implementation adaptation of primary care cancer prevention clinical decision support in a predominantly rural healthcare system

Cancer is a leading cause of death in the United States. Primary care providers (PCPs) juggle patient cancer prevention and screening along with managing acute and chronic health problems. However, clinical de...

Authors: Melissa L. Harry, Daniel M. Saman, Anjali R. Truitt, Clayton I. Allen, Kayla M. Walton, Patrick J. O’Connor, Heidi L. Ekstrom, JoAnn M. Sperl-Hillen, Joseph A. Bianco and Thomas E. Elliott

Privacy-preserving architecture for providing feedback to clinicians on their clinical performance

Learning from routine healthcare data is important for the improvement of the quality of care. Providing feedback on clinicians’ performance in comparison to their peers has been shown to be more efficient for...

Authors: Kassaye Yitbarek Yigzaw, Andrius Budrionis, Luis Marco-Ruiz, Torje Dahle Henriksen, Peder A. Halvorsen and Johan Gustav Bellika

HealtheDataLab – a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions

There is a shortage of medical informatics and data science platforms using cloud computing on electronic medical record (EMR) data, and with computing capacity for analyzing big data. We implemented, describe...

Authors: Louis Ehwerhemuepha, Gary Gasperino, Nathaniel Bischoff, Sharief Taraman, Anthony Chang and William Feaster

Appraising patient preference methods for decision-making in the medical product lifecycle: an empirical comparison

Incorporating patient preference (PP) information into decision-making has become increasingly important to many stakeholders. However, there is little guidance on which patient preference assessment methods, ...

Authors: Chiara Whichello, Bennett Levitan, Juhaeri Juhaeri, Vaishali Patadia, Rachael DiSantostefano, Cathy Anne Pinto and Esther W. de Bekker-Grob

Research on Teleconsultation service quality based on multi-granularity linguistic information: the perspective of regional doctors

Due to the increasing complexity in socioeconomic environments and the ambiguity in human cognition, decision makers prefer to give linguistic cognitive information with different granularities according to th...

Authors: Wei Lu, Xin-pu Wang, Jie Zhao and Yun-kai Zhai

A predictive analytics model for differentiating between transient ischemic attacks (TIA) and its mimics

Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors ...

Authors: Alia Stanciu, Mihai Banciu, Alireza Sadighi, Kyle A. Marshall, Neil R. Holland, Vida Abedi and Ramin Zand

Early warning score validation methodologies and performance metrics: a systematic review

Early warning scores (EWS) have been developed as clinical prognostication tools to identify acutely deteriorating patients. In the past few years, there has been a proliferation of studies that describe the d...

Authors: Andrew Hao Sen Fang, Wan Tin Lim and Tharmmambal Balakrishnan

Identifying essential proteins in dynamic protein networks based on an improved h-index algorithm

The essential proteins in protein networks play an important role in complex cellular functions and in protein evolution. Therefore, the identification of essential proteins in a network can help to explain th...

Authors: Caiyan Dai, Ju He, Kongfa Hu and Youwei Ding

Public preferences regarding data linkage for research: a discrete choice experiment comparing Scotland and Sweden

There are increasing examples of linking data on healthcare resource use and patient outcomes from different sectors of health and social care systems. Linked data are generally anonymised, meaning in most jur...

Authors: Mary P. Tully, Cecilia Bernsten, Mhairi Aitken and Caroline Vass

Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers

Predictive patient stratification is greatly emerging, because it allows us to prospectively identify which patients will benefit from what interventions before their condition worsens. In the biomedical resea...

Authors: Thanh-Trung Giang, Thanh-Phuong Nguyen and Dang-Hung Tran

Evaluation of quality and use of health management information system in primary health care units of east Wollega zone, Oromia regional state, Ethiopia:

Health care practice relies on evidence-based decisions and needs the use of quality health care data. Health management information system (HMIS) is among the core elements of health system building blocks. I...

Authors: Mekonen Kebede, Emiru Adeba and Melese Chego

Risk management-based security evaluation model for telemedicine systems

Infectious diseases that can cause epidemics, such as COVID-19, SARS-CoV, and MERS-CoV, constitute a major social issue, with healthcare providers fearing secondary, tertiary, and even quaternary infections. T...

Authors: Dong-won Kim, Jin-young Choi and Keun-hee Han

ICT-based adherence monitoring in kidney transplant recipients: a randomized controlled trial

Prior studies have explored the use of regular reminders to improve adherence among kidney transplant recipients (KTRs), but none have included real-time alarms about drug dosage, frequency, and interval. In t...

Authors: Hee-Yeon Jung, Yena Jeon, Sook Jin Seong, Jung Ju Seo, Ji-Young Choi, Jang-Hee Cho, Sun-Hee Park, Chan-Duck Kim, Young-Ran Yoon, Se-Hee Yoon, Jong Soo Lee and Yong-Lim Kim

AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks

Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to th...

Authors: Laura Kinkead, Ahmed Allam and Michael Krauthammer

Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative

The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data Integration Centers are set up at university medical center...

Authors: Raffael Bild, Martin Bialke, Karoline Buckow, Thomas Ganslandt, Kristina Ihrig, Roland Jahns, Angela Merzweiler, Sybille Roschka, Björn Schreiweis, Sebastian Stäubert, Sven Zenker and Fabian Prasser

Readability of web-based sources about induced abortion: a cross-sectional study

High-quality information is essential if clients who request an abortion are to reach informed decisions and feel prepared for the procedure, but little is known concerning the readability of web-based sources...

Authors: Susanne Georgsson and Tommy Carlsson

360-degree Delphi: addressing sociotechnical challenges of healthcare IT

IT systems in the healthcare field can have a marked sociotechnical impact: they modify communication habits, alter clinical processes and may have serious ethical implications. The introduction of such system...

Authors: Heiko Waldmüller, Cord Spreckelsen, Hannah Rudat, Norbert Krumm, Roman Rolke and Stephan Michael Jonas

Does health information technology improve acknowledgement of radiology results for discharged Emergency Department patients? A before and after study

The inadequate follow-up of test results is a key patient safety concern, carrying severe consequences for care outcomes. Patients discharged from the emergency department are at particular risk of having test...

Authors: Julie Li, Richard Paoloni, Ling Li, Joanne Callen, Johanna I. Westbrook, William B. Runciman and Andrew Georgiou

Myocardial infarction evaluation from stopping time decision toward interoperable algorithmic states in reinforcement learning

The Elliot wave principle commonly characterizes the impulsive and corrective wave trends for both financial market trends and electrocardiograms. The impulsive wave trends of electrocardiograms can annotate s...

Authors: Jong-Rul Park, Sung Phil Chung, Sung Yeon Hwang, Tae Gun Shin and Jong Eun Park

The considerations, experiences and support needs of family members making treatment decisions for patients admitted with major stroke: a qualitative study

Treatment decision-making by family members on behalf of patients with major stroke can be challenging because of the shock of the diagnosis and lack of knowledge of the patient’s treatment preferences. We aim...

Authors: A. Visvanathan, G. E. Mead, M. Dennis, W. N. Whiteley, F. N. Doubal and J. Lawton

How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach

Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques cou...

Authors: Simone A. Cammel, Marit S. De Vos, Daphne van Soest, Kristina M. Hettne, Fred Boer, Ewout W. Steyerberg and Hileen Boosman

Facilitating the design of HL7 domain models through a model-driven solution

Health information systems are increasingly sophisticated and developing them is a challenge for software developers. Software engineers usually make use of UML as a standard model language that allows definin...

Authors: M. A. Olivero, F. J. Domínguez-Mayo, C. L. Parra-Calderón, M. J. Escalona and A. Martínez-García

A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example

Constrained budgets within healthcare systems and the need to efficiently allocate resources often necessitate the valuation of healthcare interventions and services. However, when a technological product is d...

Authors: Emmanouil Mentzakis, Daria Tkacz and Carol Rivas

Implementation and comparison of two text mining methods with a standard pharmacovigilance method for signal detection of medication errors

Medication errors have been identified as the most common preventable cause of adverse events. The lack of granularity in medication error terminology has led pharmacovigilance experts to rely on information i...

Authors: Nadine Kadi Eskildsen, Robert Eriksson, Sten B. Christensen, Tamilla Stine Aghassipour, Mikael Juul Bygsø, Søren Brunak and Suzanne Lisbet Hansen

Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles

An amendment to this paper has been published and can be accessed via the original article.

Authors: Mohamed Alloghani, Ahmed Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily and Mohammed Khalaf

Preparing for an orthopedic consultation using an eHealth tool: a randomized controlled trial in patients with hip and knee osteoarthritis

To evaluate the effect of a stand-alone mobile and web-based educational intervention (eHealth tool) compared to usual preparation of a first orthopedic consultation of patients with hip or knee osteoarthritis...

Authors: Aniek A. O. M. Claassen, Henk J. Schers, Vincent J. J. F. Busch, Petra J. C. Heesterbeek, Frank H. J. van den Hoogen, Thea P. M. Vliet Vlieland and Cornelia H. M. van den Ende

Identifying and selecting implementation theories, models and frameworks: a qualitative study to inform the development of a decision support tool

Implementation theories, models and frameworks offer guidance when implementing and sustaining healthcare evidence-based interventions. However, selection can be challenging given the myriad of potential optio...

Authors: Lisa Strifler, Jan M. Barnsley, Michael Hillmer and Sharon E. Straus

The role of text messaging intervention in Inner Mongolia among patients with type 2 diabetes mellitus: a randomized controlled trial

Short messages service (SMS) provides a practical medium for delivering content to address patients to adherence to self-management. The aim of study was to design some patient-centered health education messag...

Authors: Xuemei Wang, Dan Liu, Maolin Du, Ruiqi Hao, Huiqiu Zheng and Chaoli Yan

Prospective monitoring of imaging guideline adherence by physicians in a surgical collaborative: comparison of statistical process control methods for detecting outlying performance

Systematic, automated methods for monitoring physician performance are necessary if outlying behavior is to be detected promptly and acted on. In the Michigan Urological Surgery Improvement Collaborative (MUSI...

Authors: Michael Inadomi, Karandeep Singh, Ji Qi, Rodney Dunn, Susan Linsell, Brian Denton, Patrick Hurley, Eduardo Kleer, James Montie and Khurshid R. Ghani

Coronary heart disease and mortality following a breast cancer diagnosis

Coronary heart disease (CHD) is a leading cause of morbidity and mortality for breast cancer survivors, yet the joint effect of adverse cardiovascular health (CVH) and cardiotoxic cancer treatments on post-tre...

Authors: Aixia Guo, Kathleen W. Zhang, Kristi Reynolds and Randi E. Foraker

How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study

Many telehealth systems have been designed to identify signs of exacerbations in patients with chronic obstructive pulmonary disease (COPD), but few previous studies have reported the nature of recorded lung f...

Authors: Åsa Holmner, Fredrik Öhberg, Urban Wiklund, Eva Bergmann, Anders Blomberg and Karin Wadell

The statistical importance of P-POSSUM scores for predicting mortality after emergency laparotomy in geriatric patients

Geriatric patients frequently undergo emergency general surgery and accrue a greater risk of postoperative complications and fatal outcomes than the general population. It is highly relevant to develop the mos...

Authors: Yang Cao, Gary A. Bass, Rebecka Ahl, Arvid Pourlotfi, Håkan Geijer, Scott Montgomery and Shahin Mohseni

Derivation and validation of a computable phenotype for acute decompensated heart failure in hospitalized patients

With higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patient...

Authors: Rahul Kashyap, Kumar Sarvottam, Gregory A. Wilson, Jacob C. Jentzer, Mohamed O. Seisa and Kianoush B. Kashani

A combination of two methods for evaluating the usability of a hospital information system

None of the evaluation methods can identify all the usability problems of information systems. So far, no study has sufficiently investigated the potential of a combination of these methods to identify usabili...

Authors: Reza Khajouei and Fatemeh Farahani

Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure

Accumulating evidence has linked environmental exposure, such as ambient air pollution and meteorological factors, to the development and severity of cardiovascular diseases (CVDs), resulting in increased heal...

Authors: Hang Qiu, Lin Luo, Ziqi Su, Li Zhou, Liya Wang and Yucheng Chen

Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records

Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and mod...

Authors: Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur and Zhiyong Lu

Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity

Semantic textual similarity (STS) is a fundamental natural language processing (NLP) task which can be widely used in many NLP applications such as Question Answer (QA), Information Retrieval (IR), etc. It is ...

Authors: Ying Xiong, Shuai Chen, Haoming Qin, He Cao, Yedan Shen, Xiaolong Wang, Qingcai Chen, Jun Yan and Buzhou Tang

The inhibiting effects of resistance to change of disability determination system: a status quo bias perspective

Information systems implementation projects have been historically plagued by failures for which user resistance has consistently been identified as a salient reason. Most prior studies investigated either the...

Authors: Wen-Chou Chi, Po-Jin Lin, I-Chiu Chang and Sing-Liang Chen

Development of a patient decision aid for the management of superficial basal cell carcinoma (BCC) in adults with a limited life expectancy

Basal cell carcinoma (BCC) is a slow-growing, rarely lethal skin cancer that affects people 65 years or older. A range of treatment options exist for BCC, but there is little evidence available to guide patien...

Authors: Alexandra Junn, Neha R Shukla, Lily Morrison, Meghan Halley, Mary-Margaret Chren, Louise C. Walter, Dominick L. Frosch, Dan Matlock, Jeanette S. Torres and Eleni Linos

Hospital doctors’ attitudes to brief educational messages that aim to modify diagnostic test requests: a qualitative study

Avoidable use of diagnostic tests can both harm patients and increase the cost of healthcare. Nudge-type educational interventions have potential to modify clinician behaviour while respecting clinical autonom...

Authors: Ben Young, Andrew W. Fogarty, Rob Skelly, Dominick Shaw, Nigel Sturrock, Mark Norwood, Peter Thurley, Sarah Lewis, Tessa Langley and Jo Cranwell

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients

Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, bu...

Authors: Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce and Majid Afshar

Comparison of explicit values clarification method (VCM), implicit VCM and no VCM decision aids for men considering prostate cancer screening: protocol of a randomized trial

Screening with prostate-specific antigen (PSA) test for prostate cancer is considered a preference sensitive decision; meaning it does not only depend on what is best from a medical point of view, but also fro...

Authors: S. Baptista, B. Heleno, A. Teixeira, K. L. Taylor and C. Martins