Articles

Implementation of an Electronic Medication Management System in a large tertiary hospital: a case of qualitative inquiry

Hospitals across Australia are implementing Clinical Information Systems, e.g. Electronic Medication Management Systems (EMMS) at a rapid pace to moderate health services. The benefits of the EMMS depend on th...

Authors: Milan Rasikbhai Vaghasiya, Jonathan Penm, Kevin K. Y. Kuan, Naren Gunja, Yiren Liu, Eui Dong Kim, Neysa Petrina and Simon Poon

Development and field testing of a patient decision aid for management of acute Achilles tendon rupture: a study protocol

Achilles tendon ruptures are common injuries in an otherwise healthy, active population. Several treatment options exist, with both surgical and non-surgical options. Each treatment option has a unique set of ...

Authors: Brad Meulenkamp, Julia Brillinger, Dean Fergusson, Dawn Stacey and Ian D. Graham

Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models

Many models are published which predict outcomes in hospitalized COVID-19 patients. The generalizability of many is unknown. We evaluated the performance of selected models from the literature and our own mode...

Authors: William Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta and Houshang Darabi

A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology

Testing a hypothesis for ‘factors-outcome effect’ is a common quest, but standard statistical regression analysis tools are rendered ineffective by data contaminated with too many noisy variables. Expert Syste...

Authors: Hesham Salem, Daniele Soria, Jonathan N. Lund and Amir Awwad

An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making

The increasing prevalence of childhood obesity makes it essential to study the risk factors with a sample representative of the population covering more health topics for better preventive policies and interve...

Authors: Xi Shi, Gorana Nikolic, Gorka Epelde, Mónica Arrúe, Joseba Bidaurrazaga Van-Dierdonck, Roberto Bilbao and Bart De Moor

Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey

Healthcare is expected to increasingly integrate technologies enabled by artificial intelligence (AI) into patient care. Understanding perceptions of these tools is essential to successful development and adop...

Authors: Alison L. Antes, Sara Burrous, Bryan A. Sisk, Matthew J. Schuelke, Jason D. Keune and James M. DuBois

Correction to: Supporting the classifcation of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing

Authors: Fabián Villena, Jorge Pérez, René Lagos and Jocelyn Dunstan

Exploring polypharmacy with artificial intelligence: data analysis protocol

Polypharmacy is common among older adults and it represents a public health concern, due to the negative health impacts potentially associated with the use of several medications. However, the large number of ...

Authors: Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Deziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean and Marc Simard

Factors associated with nurses' user resistance to change of electronic health record systems

Electronic health record (EHR) systems often face user resistance in hospitals, which results in a failure to acquire their full benefits. To implement the EHR successfully, it is crucial to reduce nurses’ res...

Authors: Younghee Cho, Mihui Kim and Mona Choi

Pharmaceutical mobile application for visually-impaired people in Thailand: development and implementation

Most mobile pharmaceutical applications produced for people with visual disabilities in Thailand fail to meet the required standard due to poor-quality regulations, defective design, lack of user support and i...

Authors: Acrapol Nimmolrat, Pattaraporn Khuwuthyakorn, Purida Wientong and Orawit Thinnukool

AFibNet: an implementation of atrial fibrillation detection with convolutional neural network

Generalization model capacity of deep learning (DL) approach for atrial fibrillation (AF) detection remains lacking. It can be seen from previous researches, the DL model formation used only a single frequency...

Authors: Bambang Tutuko, Siti Nurmaini, Alexander Edo Tondas, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, Ria Esafri, Firdaus Firdaus and Ade Iriani Sapitri

Health literacy and health outcomes in patients with low back pain: a scoping review

Low back pain is a leading cause of disability worldwide. Health literacy has been associated with pain intensity and pain control. However, there is a paucity of evidence regarding this association. In the fi...

Authors: Ye King Clarence See, Helen Elizabeth Smith, Lorainne Tudor Car, Joanne Protheroe, Wei Cong Wong and Bernadette Bartlam

Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing

A systematic approach to MRI protocol assignment is essential for the efficient delivery of safe patient care. Advances in natural language processing (NLP) allow for the development of accurate automated prot...

Authors: Yeshwant Reddy Chillakuru, Shourya Munjal, Benjamin Laguna, Timothy L. Chen, Gunvant R. Chaudhari, Thienkhai Vu, Youngho Seo, Jared Narvid and Jae Ho Sohn

Creation of clinical algorithms for decision-making in oncology: an example with dose prescription in radiation oncology

In oncology, decision-making in individual situations is often very complex. To deal with such complexity, people tend to reduce it by relying on their initial intuition. The downside of this intuitive, subjec...

Authors: Fabio Dennstädt, Theresa Treffers, Thomas Iseli, Cédric Panje and Paul Martin Putora

Explaining multivariate molecular diagnostic tests via Shapley values

Machine learning (ML) can be an effective tool to extract information from attribute-rich molecular datasets for the generation of molecular diagnostic tests. However, the way in which the resulting scores or ...

Authors: Joanna Roder, Laura Maguire, Robert Georgantas III and Heinrich Roder

Designing a reference architecture for health information systems

Healthcare relies on health information systems (HISs) to support the care and receive reimbursement for the care provided. Healthcare providers experience many problems with their HISs due to improper archite...

Authors: Joep Tummers, Hilde Tobi, Cagatay Catal and Bedir Tekinerdogan

Correction to: Users’ experiences with an interactive Evidence to Decision (iEtD) framework: a qualitative analysis

Authors: Jose Francisco Meneses-Echavez, Sarah Rosenbaum, Gabriel Rada, Signe Flottorp, Jenny Moberg and Pablo Alonso-Coello

Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing

In Chile, a patient needing a specialty consultation or surgery has to first be referred by a general practitioner, then placed on a waiting list. The Explicit Health Guarantees (GES in Spanish) ensures, by la...

Authors: Fabián Villena, Jorge Pérez, René Lagos and Jocelyn Dunstan

Patient similarity analytics for explainable clinical risk prediction

Clinical risk prediction models (CRPMs) use patient characteristics to estimate the probability of having or developing a particular disease and/or outcome. While CRPMs are gaining in popularity, they have yet...

Authors: Hao Sen Andrew Fang, Ngiap Chuan Tan, Wei Ying Tan, Ronald Wihal Oei, Mong Li Lee and Wynne Hsu

Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies

Immune-checkpoint inhibitors (ICIs) have introduced novel immune-related adverse events (irAEs), arising from various organ systems without strong timely dependency on therapy dosing. Early detection of irAEs ...

Authors: Sanna Iivanainen, Jussi Ekstrom, Henri Virtanen, Vesa V. Kataja and Jussi P. Koivunen

The future of medical scribes documenting in the electronic health record: results of an expert consensus conference

With the use of electronic health records (EHRs) increasing and causing unintended negative consequences, the medical scribe profession has burgeoned, but it has yet to be regulated. The purpose of this study ...

Authors: Sky Corby, Keaton Whittaker, Joan S. Ash, Vishnu Mohan, James Becton, Nicholas Solberg, Robby Bergstrom, Benjamin Orwoll, Christopher Hoekstra and Jeffrey A. Gold

Decision aids linked to evidence summaries and clinical practice guidelines: results from user-testing in clinical encounters

Tools for shared decision-making (e.g. decision aids) are intended to support health care professionals and patients engaged in clinical encounters involving shared decision-making. However, decision aids are ...

Authors: Anja Fog Heen, Per Olav Vandvik, Linn Brandt, Frankie Achille, Gordon Henry Guyatt, Elie A. Akl, Shaun Treewek and Thomas Agoritsas

Diabetes self-management in online health communities: an information exchange perspective

Online health communities (OHCs), with a wealth of multi-source information exchange, have provided a convenient way for people with diabetes to actively participate in their self-management and have been wide...

Authors: Jing Min, Yan Chen, Li Wang, Ting He and Sha Tang

On the predictability of postoperative complications for cancer patients: a Portuguese cohort study

Postoperative complications are still hard to predict despite the efforts towards the creation of clinical risk scores. The published scores contribute for the creation of specialized tools, but with limited p...

Authors: Daniel Gonçalves, Rui Henriques, Lúcio Lara Santos and Rafael S. Costa

Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China

With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information shar...

Authors: Bo Sun, Fei Zhang, Jing Li, Yicheng Yang, Xiaolin Diao, Wei Zhao and Ting Shu

Usefulness of smartphone use among surgeons in clinical practice during the pandemic of COVID-19: a cross-sectional study

With the magnitude and severity of the COVID-19 pandemic, the usual face-to-face consultation within a clinical setting is no longer feasible. Thus, this led to the need for alternate means to provide adequate...

Authors: Ali Jasem Buabbas, Saad Aldousari, Adel K. Ayed, Maryam Safar and Omar Alkandari

Drug use pattern using WHO core drug use indicators in public health centers of Dessie, North-East Ethiopia

Rational drug use requires that patients receive and take medication appropriately. Though the process of diagnosis and pharmaceutical care is complex, World Health Organization (WHO)/international network for...

Authors: Teklehaimanot Fentie Wendie, Abdulmejid Ahmed and Solomon Ahmed Mohammed

Key changes to improve social presence of a virtual health assistant promoting colorectal cancer screening informed by a technology acceptance model

Understanding how older, minoritized patients attend to cues when interacting with web-based health messages may provide opportunities to improve engagement with novel health technologies. We assess acceptance...

Authors: Melissa J. Vilaro, Danyell S. Wilson-Howard, Mohan S. Zalake, Fatemeh Tavassoli, Benjamin C. Lok, François P. Modave, Thomas J. George, Folakemi Odedina, Peter J. Carek and Janice L. Krieger

Assessment of an electronic patient record system on discharge prescribing errors in a Tertiary University Hospital

Prescribing error represent a significant source of preventable harm to patients. Prescribing errors at discharge, including omission of pre-admission medications (PAM), are particularly harmful as they freque...

Authors: Michael Patrick O’Shea, Cormac Kennedy, Eileen Relihan, Kieran Harkin, Martina Hennessy and Michael Barry

A novel approach for heart disease prediction using strength scores with significant predictors

Cardiovascular disease is the leading cause of death in many countries. Physicians often diagnose cardiovascular disease based on current clinical tests and previous experience of diagnosing patients with simi...

Authors: Armin Yazdani, Kasturi Dewi Varathan, Yin Kia Chiam, Asad Waqar Malik and Wan Azman Wan Ahmad

Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners

Well-established electronic data capture in UK general practice means that algorithms, developed on patient data, can be used for automated clinical decision support systems (CDSSs). These can predict patient ...

Authors: Elizabeth Ford, Natalie Edelman, Laura Somers, Duncan Shrewsbury, Marcela Lopez Levy, Harm van Marwijk, Vasa Curcin and Talya Porat

The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study

Accurate prehospital trauma triage is crucial for identifying critically injured patients and determining the level of care. In the prehospital setting, time and data are often scarce, limiting the complexity ...

Authors: Anna Larsson, Johanna Berg, Mikael Gellerfors and Martin Gerdin Wärnberg

Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke

Better phenotyping of routinely collected coded data would be useful for research and health improvement. For example, the precision of coded data for hemorrhagic stroke (intracerebral hemorrhage [ICH] and sub...

Authors: Kristiina Rannikmäe, Honghan Wu, Steven Tominey, William Whiteley, Naomi Allen and Cathie Sudlow

Record linkage under suboptimal conditions for data-intensive evaluation of primary care in Rio de Janeiro, Brazil

Linking Brazilian databases demands the development of algorithms and processes to deal with various challenges including the large size of the databases, the low number and poor quality of personal identifier...

Authors: Claudia Medina Coeli, Valeria Saraceni, Paulo Mota Medeiros Jr., Helena Pereira da Silva Santos, Luis Carlos Torres Guillen, Luís Guilherme Santos Buteri Alves, Thomas Hone, Christopher Millett, Anete Trajman and Betina Durovni

Data and information needs of policymakers for palliative cancer care: a multi-country qualitative study

Despite regional efforts to address concerns regarding the burden of advanced cancer in Africa, urgent attention is still required. Widespread issues include late symptom presentation, inaccessibility of palli...

Authors: Eve Namisango, Lauren Ramsey, Adlight Dandadzi, Kehinde Okunade, Bassey Ebenso and Matthew J. Allsop

The formation of patient trust and its transference to online health services: the case of a Dutch online patient portal for rehabilitation care

Trust is widely recognized as a crucial factor in successful physician–patient communication and patient engagement in treatment. However, with the rise of eHealth technologies, such as online patient portals,...

Authors: Lex van Velsen, Ina Flierman and Monique Tabak

Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors

Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardio...

Authors: Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong and Fang Wang

Medical recommender systems based on continuous-valued logic and multi-criteria decision operators, using interpretable neural networks

Out of the pressure of Digital Transformation, the major industrial domains are using advanced and efficient digital technologies to implement processes that are applied on a daily basis. Unfortunately, this s...

Authors: Juan G. Diaz Ochoa, Orsolya Csiszár and Thomas Schimper

Access to, use, knowledge, and preferences for information technology and technical equipment among people with chronic obstructive pulmonary disease (COPD) in Sweden. A cross-sectional survey study

The use of information technology can make pulmonary rehabilitation interventions in people with chronic obstructive pulmonary disease (COPD) more flexible and thereby has the potential to reach a larger propo...

Authors: Pernilla Sönnerfors, Kirsti Skavberg Roaldsen, Agneta Ståhle, Karin Wadell and Alexandra Halvarsson

Constrained transformer network for ECG signal processing and arrhythmia classification

Heart disease diagnosis is a challenging task and it is important to explore useful information from the massive amount of electrocardiogram (ECG) records of patients. The high-precision diagnostic identificat...

Authors: Chao Che, Peiliang Zhang, Min Zhu, Yue Qu and Bo Jin

Persisting workarounds in Electronic Health Record System use: types, risks and benefits

Electronic Health Records (EHRs) are now widely used to create a single, shared, and reliable source of patient data throughout healthcare organizations. However, health professionals continue to experience mi...

Authors: Albert Boonstra, Tess L. Jonker, Marjolein A. G. van Offenbeek and Janita F. J. Vos

Application of multi-label classification models for the diagnosis of diabetic complications

Early diagnosis for the diabetes complications is clinically demanding with great significancy. Regarding the complexity of diabetes complications, we applied a multi-label classification (MLC) model to predic...

Authors: Liang Zhou, Xiaoyuan Zheng, Di Yang, Ying Wang, Xuesong Bai and Xinhua Ye

Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan

In Japan, a multiple-hospital observational database system, the Medical Information Database Network (MID-NET®), was launched for post-marketing drug safety assessments. These assessments will be based on dat...

Authors: Maki Komamine, Yoshiaki Fujimura, Yasuharu Nitta, Masatomo Omiya, Masaaki Doi and Tosiya Sato

Development of decision aids for female BRCA1 and BRCA2 mutation carriers in Germany to support preference-sensitive decision-making

Women with pathogenic BRCA1 and BRCA2 mutations possess a high risk of developing breast and ovarian cancer. They face difficult choices when considering preventive options. This study presents the development pr...

Authors: Sibylle Kautz-Freimuth, Marcus Redaèlli, Kerstin Rhiem, Andrea Vodermaier, Lisa Krassuski, Kathrin Nicolai, Miriam Schnepper, Violetta Kuboth, Julia Dick, Vera Vennedey, Regina Wiedemann, Rita Schmutzler and Stephanie Stock

A systematic review of natural language processing applied to radiology reports

Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in N...

Authors: Arlene Casey, Emma Davidson, Michael Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu and Beatrice Alex

Examining the effect of explanation on satisfaction and trust in AI diagnostic systems

Artificial Intelligence has the potential to revolutionize healthcare, and it is increasingly being deployed to support and assist medical diagnosis. One potential application of AI is as the first point of co...

Authors: Lamia Alam and Shane Mueller

SEPIA: simulation-based evaluation of prioritization algorithms

The ability to prioritize people living with HIV (PLWH) by risk of future transmissions could aid public health officials in optimizing epidemiological intervention. While methods exist to perform such priorit...

Authors: Kimberly Almaraz, Tyler Jang, McKenna Lewis, Titan Ngo, Miranda Song and Niema Moshiri

Analysis of endometrial thickness patterns and pregnancy outcomes considering 12,991 fresh IVF cycles

Different endometrial patterns have an important effect on the relationship between endometrial thickness (EMT) and clinical pregnancy rate. There is a significant difference in age, selection of cycle protoco...

Authors: ShuJie Liao, Renjie Wang, Cheng Hu, Wulin Pan, Wei Pan, Dongyang Yu and Lei Jin

Public health utility of cause of death data: applying empirical algorithms to improve data quality

Accurate, comprehensive, cause-specific mortality estimates are crucial for informing public health decision making worldwide. Incorrectly or vaguely assigned deaths, defined as garbage-coded deaths, mask the ...

Authors: Sarah Charlotte Johnson, Matthew Cunningham, Ilse N. Dippenaar, Fablina Sharara, Eve E. Wool, Kareha M. Agesa, Chieh Han, Molly K. Miller-Petrie, Shadrach Wilson, John E. Fuller, Shelly Balassyano, Gregory J. Bertolacci, Nicole Davis Weaver, Alan D. Lopez, Christopher J. L. Murray and Mohsen Naghavi

Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results

Validation of the autoverification function is one of the critical steps to confirm its effectiveness before use. It is crucial to verify whether the programmed algorithm follows the expected logic and produce...

Authors: Di Jin, Qing Wang, Dezhi Peng, Jiajia Wang, Bijuan Li, Yating Cheng, Nanxun Mo, Xiaoyan Deng and Ran Tao