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OpenMRS as a global good: Impact, opportunities, challenges, and lessons learned from fifteen years of implementation Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-05 Neha Verma; Burke Mamlin; Jan Flowers; Soumyadipta Acharya; Alain Labrique; Theresa Cullen
Introduction OpenMRS is an open source medical record system that was first released in 2004. This research study analyzed OpenMRS implementations by conducting a survey of implementers and by reviewing publicly available data reported to the OpenMRS Community to learn about the utilization and impact of OpenMRS over the past 15 years. Methods Data about the use of OpenMRS were collected by conducting
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Profiling adopters (and non-adopters) of a contact tracing mobile application: Insights from Australia Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-09 Steven Lockey; Martin R. Edwards; Matthew J. Hornsey; Nicole Gillespie; Saeed Akhlaghpour; Shannon Colville
Objective Many governments are using contact tracing mobile applications (CTMAs) yet public adoption of such systems has been relatively low. The main objective of this paper is to profile adopters (and non-adopters) of Australia’s COVIDSafe CTMA. Materials and methods We use latent profile analysis to examine predictors of CTMA download behaviour. Specifically, we draw on a representative Australian
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Insights from participant engagement with the Tuberculosis Treatment Support Tools Intervention: Thematic analysis of interactive messages to guide refinement to better meet end user needs Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-24 Hannah Milligan; Sarah J Iribarren; Cristina Chirico; Hugo Telle; Rebecca Schnall
Background Tuberculosis (TB) is a largely curable disease, yet it remains one of the top ten causes of death globally. In response to known challenges to completing the long course of TB treatment, our study team developed the TB treatment support tools (TB-TSTs). The mobile application (app) is comprised of the following main components: 1) tracks treatment progress, 2) provides disease tailored information
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Behavior change techniques to promote healthcare professionals’ eHealth competency: A systematic review of interventions Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-23 Lotta Virtanen; Anu-Marja Kaihlanen; Elina Laukka; Kia Gluschkoff; Tarja Heponiemi
Introduction The use of eHealth is rapidly increasing; however, many healthcare professionals have insufficient eHealth competency. Consequently, interventions addressing eHealth competency might be useful in fostering the effective use of eHealth. Objective Our systematic review aimed to identify and evaluate the behavior change techniques applied in interventions to promote healthcare professionals’
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OpenMRS as an Emergency EMR - How we used a Global Good to create an Emergency EMR in a Week Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-23 Burke W. Mamlin; Jennifer E. Shivers; Nancy K. Glober; Jonathan J. Dick
Background As the coronavirus pandemic progressed through the United States, Indianapolis Emergency Medical Services (IEMS) identified a gap between the health system capacity and the projected need to support an overwhelmed health care system. In addressing emergencies or special cases, each medical institution in a metropolitan area typically has a siloed process for capturing emergency patient records
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How technology impacts communication between cancer patients and their health care providers: A systematic literature review Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-22 Safa El Kefi; Onur Asan
Objective To ensure the well-being of their patients, health care providers (HCPs) are putting more effort into the quality of the communication they provide in oncology clinics. With the emergence of Health Information Technology (HIT), the dynamics between doctors and patients in oncology settings have changed. The purpose of this literature review is to explore and demonstrate how various health
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Establishment of Noninvasive Diabetes Risk Prediction Model Based on Tongue Features and Machine Learning Techniques Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-22 Jun Li; Qingguang Chen; Xiaojuan Hu; Pei Yuan; Longtao Cui; Liping Tu; Ji Cui; Jingbin Huang; Tao Jiang; Xuxiang Ma; Xinghua Yao; Changle Zhou; Hao Lu; Jiatuo Xu
Background Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics without early diagnosis or standard treatment may contribute to serious multisystem complications, which can be life threatening. Timely detection and intervention of prediabetes is very important to prevent diabetes, because it is inevitable in the development and progress of the disease. Objective Our objective
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Unsupervised clinical relevancy ranking of structured medical records to retrieve condition-specific information in the emergency department Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-05 Zfania Tom Korach; Stephen Gradwohl; Amanda Messinger; Kelly Bookman; Kevin Cohen; Li Zhou; Foster Goss
Background Decision making in the Emergency Department (ED) requires timely identification of clinical information relevant to the complaints. Existing information retrieval solutions for the electronic health record (EHR) focus on patient cohort identification and lack clinical relevancy ranking. We aimed to compare knowledge-based (KB) and unsupervised statistical methods for ranking EHR information
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Examining the determinants of eHealth usage among elderly people with disability: The moderating role of behavioural aspects Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-06 Mohammad Afshar Ali; Khorshed Alam; Brad Taylor; Mahfuz Ashraf
Background Existing studies have demonstrated that behavioural barriers impede eHealth usage among senior citizens. However, thus far, no analysis of how such barriers affect elderly people with disabilities (PwD) has been conducted. Thus, the study investigates the predictors of eHealth usage among elderly PwD. Methods Using data from a 2018 nationwide disability survey comprising 14,798 respondents
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WHO digital health packages for disseminating data standards and data use practices Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-19 Olav Poppe; Johan Ivar Sæbø; Jørn Braa
Objective The aim of the study is to analyse an initiative from the World Health Organisation (WHO) to facilitate the dissemination of global standards and guidelines through digital health packages, which can strengthen the capacity of countries to monitor the SDGs. Digital health packages include data standards, guidance on data analysis, specifications for analytical dashboards for a specific health
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A Systematic Review of Emerging Information Technologies for Sustainable Data-Centric Health-Care Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-19 Arnob Zahid; Kay Poulsen; Ravi Sharma; Stephen C. Wingreen
Background Of the Sustainable Development Goals (SDGs), the third presents the opportunity for a predictive universal digital healthcare ecosystem, capable of informing early warning, assisting in risk reduction and guiding management of national and global health risks. However, in reality, the existing technology infrastructure of digital healthcare systems is insufficient, failing to satisfy current
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A systematic review of decision aids for mammography screening: Focus on outcomes and characteristics Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-18 Marzieh Esmaeili; Seyed Mohammad Ayyoubzadeh; Zohreh Javanmard; Sharareh R. Niakan Kalhori
Purpose Decision Aid systems (DAs) provide information on the pros and cons of mammography. This study aimed to review the research on mammography DAs, synthesize the findings related to their outcomes and characteristics, and address the existed research gap. Methods Relevant studies were identified through a comprehensive search on some e-databases, including PubMed, EMBASE, Scopus, and Web of Science
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Unfulfilled Promises of Health Information Exchange: What inhibits Ambulatory Clinics from Electronically Sharing Health Information? Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-18 Ranganathan Chandrasekaran; Balaji Sankaranarayanan; John Pendergrass
Purpose This study seeks to understand the key inhibitors for health information exchange (HIE) by ambulatory (outpatient) clinics. We examine the key technological, organizational and environmental factors that inhibit an ambulatory clinic from electronically exchanging health information with external clinics and hospitals. Methods We utilize survey data from 1285 ambulatory clinics in the US state
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Impact of a computerised clinical decision support system on vancomycin loading and the risk of nephrotoxicity Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-04 June Young Chun; Kyoung-Ho Song; Dong-eun Lee; Joo-Hee Hwang; Hyun Gul Jung; Eunjeong Heo; Hyung-sook Kim; Seonghae Yoon; Jeong Su Park; Pyoeng Gyun Choe; Jae-Yong Chung; Wan Beom Park; Ji Hwan Bang; Hee Hwang; Kyoung-Un Park; Sang Won Park; Nam Joong Kim; Myoung-don Oh; Hong Bin Kim
Background A vancomycin loading dose is recommended for the treatment of serious methicillin-resistant Staphylococcus aureus (MRSA) infections. However, clinicians often do not adhere to these recommendations, mainly due to nephrotoxicity risk, unfamiliarity with the guideline, or complexity of calculating an individual dose. Therefore, we introduced a computerised clinical decision support system
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A digital approach in the rapid response to COVID-19 – Experience of a paediatric institution Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-06 Daryl R Cheng; Andrew Coote; Mike South
Introduction COVID-19 has radically changed the delivery of healthcare in Australia. Central to a tertiary paediatric institution’s (The Royal Children’s Hospital Melbourne (RCH) response was a digital health approach comprising a broad suite of informatics and technology solutions including optimising a fully integrated electronic medical record (EMR). Methods This comprehensive approach spanned all
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Effect of augmented reality books in salivary cortisol levels in hospitalized pediatric patients: A randomized cross-over trial Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-04 Dulce E. Alarcón-Yaquetto; Jean P. Tincopa; Daniel Guillén-Pinto; Nataly Bailon; César P. Cárcamo
Objective This study sought to assess the effect of reading augmented reality (AR) books on salivary cortisol levels in hospitalized pediatric patients compared to reading a standard children’s book. Methods This was a randomized, two-period, cross-over trial in hospitalized children aged 7–11 years. AR books currently in the market were used as intervention. Complete block randomization was used to
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Attacking and Defence Pathways for Intelligent Medical Diagnosis System (IMDS) Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-11 Ying He; Ruben Suxo Camacho; Hasan Soygazi; Cunjin Luo
Background The Intelligent Medical Diagnosis System (IMDS) has been targeted by the cyber attackers, who aim to damage the Healthcare Critical National Infrastructure (CNI). This research is motivated by the recent cyber attacks happened worldwide that have resulted in the compromise of medical diagnosis records. This study was conducted to demonstrate how the IMDS could be attacked and diagnosis records
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Quantity and type of peer-reviewed evidence for popular free medical apps: cross-sectional review Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-10 David C Wong; Khine Nwe; Ruth Evans; Natalie Nelissen; Mark E Larsen
Introduction – Mobile apps are being increasingly used as a tool to deliver clinical care. Evidence of efficacy for such apps varies, and appropriate levels of evidence may depend on the app’s intended use. The UK’s National Institute for Health and Care Excellence (NICE) recently developed an evidence standards framework, aiming to explicitly set out the required standards of evidence for different
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Mapping frailty concepts to SNOMED CT Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-10 M. Thandi; S. Brown; S.T. Wong
Background Frailty is considered an emerging syndrome characterized by a decrease in physiological ability to respond to stressors, leading to increased morbidity and mortality rates. Frailty is distinguished from normal age-associated decline because it is a sharp and often rapid decline rather than a gradual slowing down of general functioning. The comprehensive geriatric assessment is currently
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Understanding cancer patients’ use and perceptions of inpatient portal: A case study at a tertiary hospital in Saudi Arabia Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-22 Bader Alshoumr; Ping Yu; David Hailey; Fahad Bindayel; Salman Alanazi; Shaleh Alshammary
Background Inpatient portals have been introduced into tertiary hospitals to meet patients’ information and communication needs, to increase their awareness of health care, and to facilitate their transition after discharge. However, there is inadequate knowledge about hospitalised oncology patients’ use and perceptions of these technologies. Objective To explore cancer patients’ use and perceptions
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Do data security measures, privacy regulations, and communication standards impact the interoperability of patient health information? A cross-country investigation Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-27 Utkarsh Shrivastava; Jiahe Song; Bernard T. Han; Doug Dietzman
Background The lack of interoperability is one of the biggest obstacles to the complete digitalization of patient health information in electronic medical records (EMR). The high volume of data breaches has put pressure on care providers to adopt data protection measures to remain compliant with legal requirements. Extreme data protection measures can impede information flow, but they also instill
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Using a Low-cost, Real-time Electronic Immunization Registry in Pakistan to Demonstrate Utility of Data for Immunization Programs and Evidence-Based Decision Making to Achieve SDG-3: Meaningful Insights from Analysis of Big Data on Vaccines Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-08 Danya Arif Siddiqi; Sara Abdullah; Vijay Kumar Dharma; Mubarak Taighoon Shah; Mohammed Adil Akhter; Ali Habib; Aamir Javed Khan; Subhash Chandir
Background Despite the proliferation of digital interventions such as Electronic Immunization Registries (EIR), currently, there is little evidence regarding the use of EIR data to improve the immunization outcomes in resource-constrained settings. To achieve the Sustainable Development Goal (SDG) of ensuring healthy lives and well-being for all ages, particularly for newborns and children under the
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Digital Health Technology for Indigenous Older Adults: A Scoping Review Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-08 Mohamed-Amine Choukou; Ali Maddahi; Anna Polyvyana; Caroline Monnin
Background Telehealth implementation is a great solution for Indigenous older adults (OAs) due to the rise of chronic disease and other age-related health disorders. Telehealth is a promising option to increase quality of life, decrease healthcare costs, and offer more independent living. Objectives This scoping review investigated existing telehealth solutions that have been implemented to serve Indigenous
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Measurement and Improvement as a Model to Strengthen Immunization Information Systems and Overcome Data Gaps Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-02-08 Elizabeth K. Abbott; Rebecca Coyle; Amanda Dayton; Mary Beth Kurilo
Background IIS are important tools in the public health system and exist to improve and protect the nation’s health from vaccine-preventable diseases. A network of 62 independent state, territorial, and jurisdictional immunization information systems (IIS) are operated within the United States. These systems are relied upon to implement an increasingly complex vaccination schedule, consolidate and
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The role of blockchain technology in telehealth and telemedicine Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-28 Raja Wasim Ahmad; Khaled Salah; Raja Jayaraman; Ibrar Yaqoob; Samer Ellahham; Mohammed Omar
Objective. Telehealth and telemedicine systems aim to deliver remote healthcare services to mitigate the spread of COVID-9. Also, they can help to manage scarce healthcare resources to control the massive burden of COVID-19 patients in hospitals. However, a large portion of today's telehealth and telemedicine systems are centralized and fall short of providing necessary information security and privacy
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A Deep Learning Approach to Identify Blepharoptosis by Convolutional Neural Networks Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-28 Chandrashan Perera; Ju-Yi Hung; Ke-Wei Chen; David Myung; Hsu-Kuang Chiu; Chiou-Shann Fuh; Cherng-Ru Hsu; Shu-Lang Liao; Andrea Lora Kossler
Purpose Blepharoptosis is a known cause of reversible vision loss. Accurate assessment can be difficult, especially amongst non-specialists. Existing automated techniques disrupt clinical workflow by requiring user input, or placement of reference markers. Neural networks are known to be effective in image classification tasks. We aim to develop an algorithm that can accurately identify blepharoptosis
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Real-time spatial health surveillance: mapping the UK COVID-19 epidemic Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-28 Richard Fry; Joe Hollinghurst; Helen R Stagg; Daniel A Thompson; Claudio Fronterre; Chris Orton; Ronan A Lyons; David V Ford; Aziz Sheikh; Peter J Diggle
Introduction The COVID-19 pandemic has highlighted the need for robust data linkage systems and methods for identifying outbreaks of disease in near real-time. Objectives The primary objective of this study was to develop a real-time geospatial surveillance system to monitor the spread of COVID-19 across the UK. Methods Using self-reported app data and the Secure Anonymised Information Linkage (SAIL)
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The seven key challenges for life-critical shared decision making systems Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-09 Evangelos Triantaphyllou; Juri Yanase
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The effects of message framing on online health headline selection of female users: A moderation of approach/avoidance motivation Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-20 Tingting Jiang; Xi Wu; Ye Chen; Ying Wang
Background More and more females are diagnosed with and die of cancers. Acquiring cancer-related information and enriching one’s knowledge of cancers are important to cancer prevention and treatment. Effective online health headlines are indispensable to encouraging the reading of the hyperlinked health articles, especially those on daunting topics such as cancers. Objective This study aims to reveal
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Evaluation of an optimized context-aware clinical decision support system for drug-drug interaction screening Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-15 Katoo M. Muylle; Kristof Gentens; Alain G. Dupont; Pieter Cornu
Objective Evaluation of the effect of six optimization strategies in a clinical decision support system (CDSS) for drug-drug interaction (DDI) screening on alert burden and alert acceptance and description of clinical pharmacist intervention acceptance. Methods Optimizations in the new CDSS were the customization of the knowledge base (with addition of 67 extra DDIs and changes in severity classification)
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Developing a regional transmural care database: A roadmap Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-16 Debbie Vermond; Charles W. Helsper; Marlous F. Kortekaas; Nicole Boekema; Esther de Groot; Niek J. de Wit; Dorien L.M. Zwart
Introduction In primary care health care systems, primary care physicians (PCPs) provide most basic care services, and if necessary, refer to secondary care for specialized work-up and treatment. If hospital care is required, agreement between PCPs and secondary care physicians (SCPs) on the conditions for patient referral and back-referral are considered crucial to providing high quality patient care
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An evaluation of a video magnification-based system for respiratory rate monitoring in an acute mental health setting Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-06 J. Laurie; N. Higgins; T. Peynot; L. Fawcett; J. Roberts
Context One of the most important goals of inpatient psychiatric care is to provide a safe and therapeutic environment for both patients and staff. A small number of aggressive or agitated patients are difficult to sedate, even after multiple doses of sedating antipsychotics. Adverse effects can result in harm to the patient and staff and that observations are conducted without touching the patient
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An annotated association mining approach for extracting and visualizing interesting clinical events Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-13 Aashara Shrestha; Dimitrios Zikos; Leonidas Fegaras
Objective This work aims at deriving interesting clinical events using association rule mining based on a user-annotated order of clinical features. Materials and methods A user specifies a partial temporal order of features by indexing features of interest, with repeated and bundled indexes allowed as needed. An association mining algorithm plugin was designed to generate rules that adhere to the
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Challenges in user-driven optimization of EHR: A case study of a large Epic implementation in Denmark Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-13 Jørgen P. Bansler
Background Research suggests that capturing the benefits of electronic health records (EHR) requires systematic and ongoing optimization of technology configuration and use after implementation. However, little is known about EHR optimization in a hospital context. Objective To explore the issues and challenges involved in organizing and managing a systematic user-driven EHR optimization program. Methods
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Lung cancer survival period prediction and understanding: Deep learning approaches Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-29 Shreyesh Doppalapudi; Robin G. Qiu; Youakim Badr
Introduction Survival period prediction through early diagnosis of cancer has many benefits. It allows both patients and caregivers to plan resources, time and intensity of care to provide the best possible treatment path for the patients. In this paper, by focusing on lung cancer patients, we build several survival prediction models using deep learning techniques to tackle both cancer survival classification
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Healthcare professionals’ acts of correcting health misinformation on social media Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-06 John Robert Bautista; Yan Zhang; Jacek Gwizdka
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Reporting health data in waiting rooms with mobile technology: Patient expectation and confirmation Int. J. Med. Inform. (IF 3.025) Pub Date : 2021-01-09 Iris Reychav; Ankur Arora; Rajiv Sabherwal; Karina Polyak; Jun Sun; Joseph Azuri
Objectives Hospitals and medical staff use digital devices such as mobile phones and tablets to treat patients. Prior research has examined patient-reported outcomes, and the use of medical devices to do diagnosis and prognosis of patients, but not whether patients like using, and intend to use in future, mobile devices to self-report medical data. We address this research gap by developing a theoretical
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The effectiveness of clinical pathway software in inpatient settings: A systematic review Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-29 M. Askari; J.L.Y.Y. Tam; J. Klundert
Background Various studies have assessed the effectiveness of clinical pathways (CPs) in inpatient settings and provided systematic evidence that they positively affect patient outcomes and efficiency of care, thus lowering costs. In recent years, CP implementation is often combined or extended with clinical pathway software (CPS). Until now, no systematic literature review appears to exist which synthesizes
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A comparison between medication reconciliation by a pharmacy technician and the use of an online personal health record by patients for identifying medication discrepancies in patients’ drug lists prior to elective admissions Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-29 Denise J. van der Nat; Margot Taks; Victor J.B. Huiskes; Bart J.F. van den Bemt; Hein A.W. van Onzenoort
Aim Medication discrepancies (MDs), defined as unexplained differences among medication regimens, cause important public health problems with clinical and economic consequences. Medication reconciliation (MR) reduces the risk of MDs, but is time consuming and its success relies on the quality of different information sources. Online personalized health records (PHRs) may overcome these drawbacks. Therefore
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Usability evaluation of selected picture archiving and communication systems at the national level: Analysis of users’ viewpoints Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-29 Mehrdad Farzandipour; Monireh Sadeqi Jabali; Ali Mohammad Nickfarjam; Hamidreza Tadayon
Background and objectives Picture Archiving and Communication System (PACS) can be considered as one of the most important information systems used in healthcare facilities and its usability problems can lead to delays in the acceptance of information systems, increased medical errors and also user dissatisfaction. The primary purpose of this study was to evaluate the usability of PACS from the perspective
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Customer relationship management analysis of outpatients in a Chinese infectious disease hospital using drug-proportion recency-frequency-monetary model Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-29 Min Li; Qunwei Wang; Yinzhong Shen; TongYu Zhu
Background Identifying the patient types with different economic values can be useful for hospital development. Objective This work uses the theory of customer relationship management (CRM) to analyze the outpatients in the hospital for infectious diseases in Shanghai, China. Methods A total of 2,271,020 data elements of outpatients in the research unit between August 2009 and December 2019 were extracted
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Analysis of topics and characteristics of user reviews on different online psychological counseling methods Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-16 Jingfang Liu; Lu Gao
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Using multivariate long short-term memory neural network to detect aberrant signals in health data for quality assurance Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-16 Seyed M. Miran; Stuart J. Nelson; Doug Redd; Qing Zeng-Treitler
Background The data quality of electronic health records (EHR) has been a topic of increasing interest to clinical and health services researchers. One indicator of possible errors in data is a large change in the frequency of observations in chronic illnesses. In this study, we built and demonstrated the utility of a stacked multivariate LSTM model to predict an acceptable range for the frequency
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A comprehensive study of mobility functioning information in clinical notes: Entity hierarchy, corpus annotation, and sequence labeling Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-18 Thanh Thieu; Jonathan Camacho Maldonado; Pei-Shu Ho; Min Ding; Alex Marr; Diane Brandt; Denis Newman-Griffis; Ayah Zirikly; Leighton Chan; Elizabeth Rasch
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Development of a deep learning-based image eligibility verification system for detecting and filtering out ineligible fundus images: A multicentre study Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-13 Zhongwen Li; Jiewei Jiang; Heding Zhou; Qinxiang Zheng; Xiaotian Liu; Kuan Chen; Hongfei Weng; Wei Chen
Background Recent advances in artificial intelligence (AI) have shown great promise in detecting some diseases based on medical images. Most studies developed AI diagnostic systems only using eligible images. However, in real-world settings, ineligible images (including poor-quality and poor-location images) that can compromise downstream analysis are inevitable, leading to uncertainty about the performance
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Impact of COVID-19 on the psychological health of university students in Spain and their attitudes toward Mobile mental health solutions Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-31 Gonçalo Marques; Nidal Drissi; Isabel de la Torre Díez; Beatriz Sainz de Abajo; Sofia Ouhbi
Background The coronavirus disease 2019 (COVID-19) pandemic has had an impact on several aspects of life, including university students’ mental health. Mobile mental care applications (apps) comprise a form of online mental care that enables the delivery of remote mental care. Objectives This study aimed to explore the impact of COVID-19 on the mental health of university students in Spain and to explore
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A multi-stakeholder approach to eHealth development: Promoting sustained healthy living among cardiovascular patients Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-13 Linda D. Breeman; Mike Keesman; Douwe E. Atsma; Niels H. Chavannes; Veronica Janssen; Lisette van Gemert-Pijnen; Hareld Kemps; Wessel Kraaij; Fabienne Rauwers; Thomas Reijnders; Wilma Scholte op Reimer; Jobke Wentzel; Roderik A. Kraaijenhagen; Andrea W.M. Evers
Background Healthy living is key in the prevention and rehabilitation of cardiovascular disease (CVD). Yet, supporting and maintaining a healthy lifestyle is exceptionally difficult and people differ in their needs regarding optimal support for healthy lifestyle interventions. Objective The goals of this study were threefold: to uncover stakeholders’ needs and preferences, to translate these to core
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Dissemination of child abuse clinical decision support: Moving beyond a single electronic health record Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-10 Thomas McGinn; David A. Feldstein; Isabel Barata; Emily Heineman; Joshua Ross; Dana Kaplan; Safiya Richardson; Barbara Knox; Amanda Palm; Francesca Bullaro; Nicholas Kuehnel; Linda Park; Sundas Khan; Benjamin Eithun; Rachel P. Berger
Background Child maltreatment is a leading cause of pediatric morbidity and mortality. We previously reported on development and implementation of a child abuse clinical decision support system (CA-CDSS) in the Cerner electronic health record (EHR). Our objective was to develop a CA-CDSS in two different EHRs. Methods Using the CA-CDSS in Cerner as a template, CA-CDSSs were developed for use in four
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Feasibility and acceptability of virtual academic detailing on opioid prescribing Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-25 Mary H. Smart; Monika Rao Mandava; Todd A. Lee; A. Simon Pickard
Introduction Social distancing requirements during COVID-19 pose a challenge to conducting traditional academic detailing, which typically involves in-person peer education visits to improve patient outcomes. The main alternative is to conduct virtual academic detailing delivered through web-based technology, but this approach is fraught with many challenges. This study aimed to examine the feasibility
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Identifying current Juul users among emerging adults through Twitter feeds Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-10 Tung Tran; Melinda J. Ickes; Jakob W. Hester; Ramakanth Kavuluru
Introduction Juul is the most popular electronic cigarette on the market. Amid concerns around uptake of e-cigarettes by never smokers, can we detect whether someone uses Juul based on their social media activities? This is the central premise of the effort reported in this paper. Several recent social media-related studies on Juul use tend to focus on the characterization of Juul-related messages
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An immersive educational tool for dental implant placement: A study on user acceptance Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-11-27 Ezequiel Roberto Zorzal; Soraia Figueiredo Paulo; Pedro Rodrigues; José João Mendes; Daniel Simões Lopes
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A multi-perspective approach to developing the Saudi Health Informatics Competency Framework Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-08 Manal Almalki; Amr Jamal; Mowafa Househ; Mohammed Alhefzi
Background Determining the key sets of competencies necessary for a Health Informatics (HI) professional to practice effectively either solo or as a member of a multidisciplinary team has been challenging for the regulator and registration body responsible for the healthcare workforce in Saudi Arabia, which is the Saudi Commission for Health Specialties (SCFHS). Objective The aim of this study was
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A process modelling approach to assess the impact of teledermatology deployment onto the skin tumor care pathway Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-08 Tu Anh Duong; Guillaume Lamé; Ouidad Zehou; Charbel Skayem; Patricia Monnet; Mohammed El Khemiri; Sonia Boudjemil; Gaëlle Hirsch; Pierre Wolkenstein; Marija Jankovic
Background Teledermatology was raised as a potential answer to increase access and decrease delay for skin cancer management. However, its influence on non-melanoma skin cancer (NMSC) care pathway has never been studied. Objectives To compare conventional care pathway to teledermatology (TD) in NMSC care pathways using a process modelling approach. Patients and Methods A period study including three
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Towards effective machine learning in medical imaging analysis: A novel approach and expert evaluation of high-grade glioma ‘ground truth’ simulation on MRI Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-11-27 K. Sepehri; X. Song; R. Proulx; S. Ghosh Hajra; B. Dobberthien; C.C. Liu; R.C.N. D’Arcy; D. Murray; A.V. Krauze
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MSCI: A multistate dataset for colposcopy image classification of cervical cancer screening Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-12-03 Yao Yu; Jie Ma; Weidong Zhao; Zhenmin Li; Shuai Ding
Background Cervical cancer is the second most common female cancer globally, and it is vital to detect cervical cancer with low cost at an early stage using automated screening methods of high accuracy, especially in areas with insufficient medical resources. Automatic detection of cervical intraepithelial neoplasia (CIN) can effectively prevent cervical cancer. Objectives Due to the deficiency of
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Augmenting patient safety through participation by design – An assessment of dual monitors for patients in the outpatient clinic Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-11-17 Onur Asan; Avishek Choudhury; Melek M. Somai; Bradley H. Crotty
Background Patients and physicians engaging together in the electronic health record (EHR) during clinical visits may provide opportunities to both improve patient understanding and reduce medical errors. Objective To assess the potential impact of a patient EHR display intervention on patient quality and safety. We hypothesized that if patients had a dedicated display with an explicit invitation to
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A smart wearable device for monitoring and self-management of diabetic foot: A proof of concept study Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-11-19 Khadijeh Moulaei; Mojtaba Malek; Abbas Sheikhtaheri
Background and Objective Diabetic foot is one of the important complications of diabetes, which is occurred due to the destructive parameters in different anatomical sites of feet. Management and monitoring of these parameters are very important to decrease or prevent foot ulcers. We aimed to develop a smart wearable device to monitor these parameters to prevent diabetic foot. Methods Following literature
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Bibliometric Analysis and Methodological Review of Mobile Health Services and Applications in India Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-11-10 Rajesh R. Pai; Sreejith Alathur
Purpose The purpose of this research is to analyze the literature published on mobile health (mHealth) in the Indian context. It also reviews the most important research works and presents various methodologies adopted by the researchers in this domain. Design/methodology/approach The SciVerse SCOPUS database was used for extracting the literature on mobile health. The study used articles published
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Whether the weather will help us weather the COVID-19 pandemic: Using machine learning to measure twitter users’ perceptions Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-11-10 Marichi Gupta; Aditya Bansal; Bhav Jain; Jillian Rochelle; Atharv Oak; Mohammad S. Jalali
Objective The potential ability for weather to affect SARS-CoV-2 transmission has been an area of controversial discussion during the COVID-19 pandemic. Individuals’ perceptions of the impact of weather can inform their adherence to public health guidelines; however, there is no measure of their perceptions. We quantified Twitter users’ perceptions of the effect of weather and analyzed how they evolved
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A process-based approach to exploring the information behavior of informal caregivers of people living with dementia Int. J. Med. Inform. (IF 3.025) Pub Date : 2020-11-12 Rachel A. Rutkowski; Siddarth Ponnala; Laura Younan; Dustin T. Weiler; Andrea Gilmore Bykovskyi; Nicole E. Werner
Introduction and purpose Informal caregivers of persons living with dementia have significant unmet information needs that, if met, would better equip them to provide effective care. Despite the existence of health information technologies, websites, resources, and organizations dedicated to dementia caregiving, caregivers continue to report unmet information needs. Caregivers’ continued unmet information