Exploring the usefulness of Lexis diagrams for quality improvement
Visualization is important to aid practitioners in understanding local care processes and drive quality improvement (QI). Important aspects include timely feedback and ability to plot data over time. Moreover,... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 8, 2020 Category: Information Technology Authors: Sara Dahlin Tags: Research article Source Type: research

Assessing stroke severity using electronic health record data: a machine learning approach
Stroke severity is an important predictor of patient outcomes and is commonly measured with the National Institutes of Health Stroke Scale (NIHSS) scores. Because these scores are often recorded as free text i... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 8, 2020 Category: Information Technology Authors: Emily Kogan, Kathryn Twyman, Jesse Heap, Dejan Milentijevic, Jennifer H. Lin and Mark Alberts Tags: Research article Source Type: research

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories
This study assessed the value of risk factor traje... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 8, 2020 Category: Information Technology Authors: Gyorgy J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar and Pedro J. Caraballo Tags: Research article Source Type: research

A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms
In classification and diagnostic testing, the receiver-operator characteristic (ROC) plot and the area under the ROC curve (AUC) describe how an adjustable threshold causes changes in two types of error: false... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 6, 2020 Category: Information Technology Authors: Andr é M. Carrington, Paul W. Fieguth, Hammad Qazi, Andreas Holzinger, Helen H. Chen, Franz Mayr and Douglas G. Manuel Tags: Research article Source Type: research

Can mobile health apps replace GPs? A scoping review of comparisons between mobile apps and GP tasks
Mobile health applications (mHealth apps) are increasingly being used to perform tasks that are conventionally performed by general practitioners (GPs), such as those involved in promoting health, preventing d... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 6, 2020 Category: Information Technology Authors: Apichai Wattanapisit, Chin Hai Teo, Sanhapan Wattanapisit, Emylia Teoh, Wing Jun Woo and Chirk Jenn Ng Tags: Research article Source Type: research

Development of a targeted client communication intervention to women using an electronic maternal and child health registry: a qualitative study
Targeted client communication (TCC) using text messages can inform, motivate and remind pregnant and postpartum women of timely utilization of care. The mixed results of the effectiveness of TCC interventions ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 6, 2020 Category: Information Technology Authors: Binyam Bogale, Kjersti M ørkrid, Brian O’Donnell, Buthaina Ghanem, Itimad Abu Ward, Khadija Abu Khader, Mervett Isbeih, Michael Frost, Mohammad Baniode, Taghreed Hijaz, Tamara Awwad, Yousef Rabah and J. Frederik Frøen Tags: Research article Source Type: research

Digital health Systems in Kenyan Public Hospitals: a mixed-methods survey
As healthcare facilities in Low- and Middle-Income Countries adopt digital health systems to improve hospital administration and patient care, it is important to understand the adoption process and assess the ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 6, 2020 Category: Information Technology Authors: Naomi Muinga, Steve Magare, Jonathan Monda, Mike English, Hamish Fraser, John Powell and Chris Paton Tags: Research article Source Type: research

Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networks
We used the Surveillance, Epidemiology, and End Results (SEER) database to develop and validate deep survival neural network machine learning (ML) algorithms to predict survival following a spino-pelvic chondr... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 6, 2020 Category: Information Technology Authors: Sung Mo Ryu, Sung Wook Seo and Sun-Ho Lee Tags: Research article Source Type: research

Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department
To examine the association between the medical imaging utilization and information related to patients ’ socioeconomic, demographic and clinical factors during the patients’ ED visits; and to develop predictive... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 30, 2019 Category: Information Technology Authors: Xingyu Zhang, M. Fernanda Bellolio, Pau Medrano-Gracia, Konrad Werys, Sheng Yang and Prashant Mahajan Tags: Research article Source Type: research

AliClu - Temporal sequence alignment for clustering longitudinal clinical data
Patient stratification is a critical task in clinical decision making since it can allow physicians to choose treatments in a personalized way. Given the increasing availability of electronic medical records (... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 30, 2019 Category: Information Technology Authors: Kishan Rama, Helena Canh ão, Alexandra M. Carvalho and Susana Vinga Tags: Software Source Type: research

Acceptability of Internet-based interventions for problem gambling: a qualitative study of focus groups with clients and clinicians
In this study, we explored the fac... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 30, 2019 Category: Information Technology Authors: Sherald Sanchez, Farah Jindani, Jing Shi, Mark van der Maas, Sylvia Hagopian, Robert Murray and Nigel Turner Tags: Research article Source Type: research

Responsible data sharing in a big data-driven translational research platform: lessons learned
To foster responsible data sharing in health research, ethical governance complementary to the EU General Data Protection Regulation is necessary. A governance framework for Big Data-driven research platforms ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 30, 2019 Category: Information Technology Authors: S. Kalkman, M. Mostert, N. Udo-Beauvisage, J. J. van Delden and G. J. van Thiel Tags: Research article Source Type: research

A Bayesian decision support sequential model for severity of illness predictors and intensive care admissions in pneumonia
Community-acquired pneumonia (CAP) is one of the leading causes of morbidity and mortality in the USA. Our objective was to assess the predictive value on critical illness and disposition of a sequential Bayes... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 30, 2019 Category: Information Technology Authors: Amado Alejandro Baez, Laila Cochon and Jose Maria Nicolas Tags: Research article Source Type: research

Family member information extraction via neural sequence labeling models with different tag schemes
Family history information (FHI) described in unstructured electronic health records (EHRs) is a valuable information source for patient care and scientific researches. Since FHI is usually described in the fo... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 27, 2019 Category: Information Technology Authors: Hong-Jie Dai Tags: Research Source Type: research

Selected articles from the BioCreative/OHNLP challenge 2018
(Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 27, 2019 Category: Information Technology Authors: Sijia Liu, Yanshan Wang and Hongfang Liu Tags: Introduction Source Type: research

Family history information extraction via deep joint learning
Family history (FH) information, including family members, side of family of family members (i.e., maternal or paternal), living status of family members, observations (diseases) of family members, etc., is ve... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 27, 2019 Category: Information Technology Authors: Xue Shi, Dehuan Jiang, Yuanhang Huang, Xiaolong Wang, Qingcai Chen, Jun Yan and Buzhou Tang Tags: Research Source Type: research

Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 23, 2019 Category: Information Technology Authors: Yifei Wang, Sophia Ananiadou and Jun ’ichi Tsujii Tags: Research Source Type: research

Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches
Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning meth... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 23, 2019 Category: Information Technology Authors: Rebecka Weegar, Alicia P érez, Arantza Casillas and Maite Oronoz Tags: Research Source Type: research

Muscle fatigue detection and treatment system driven by internet of things
Internet of things is fast becoming the norm in everyday life, and integrating the Internet into medical treatment, which is increasing day by day, is of high utility to both clinical doctors and patients. Whi... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 23, 2019 Category: Information Technology Authors: Bin Ma, Chunxiao Li, Zhaolong Wu, Yulong Huang, Ada Chaeli van der Zijp-Tan, Shaobo Tan, Dongqi Li, Ada Fong, Chandan Basetty, Glen M. Borchert, Ryan Benton, Bin Wu and Jingshan Huang Tags: Research Source Type: research

Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner
The medical community uses a variety of data standards for both clinical and research reporting needs. ISO 11179 Common Data Elements (CDEs) represent one such standard that provides robust data point definiti... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 23, 2019 Category: Information Technology Authors: Robinette Renner, Shengyu Li, Yulong Huang, Ada Chaeli van der Zijp-Tan, Shaobo Tan, Dongqi Li, Mohan Vamsi Kasukurthi, Ryan Benton, Glen M. Borchert, Jingshan Huang and Guoqian Jiang Tags: Research Source Type: research

Comparing different supervised machine learning algorithms for disease prediction
This study a... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 21, 2019 Category: Information Technology Authors: Shahadat Uddin, Arif Khan, Md Ekramul Hossain and Mohammad Ali Moni Tags: Research article Source Type: research

Does a Mobile app improve patients ’ knowledge of stroke risk factors and health-related quality of life in patients with stroke? A randomized controlled trial
Developing a stroke health-education mobile app (SHEMA) and examining its effectiveness on improvement of knowledge of stroke risk factors and health-related quality of life (HRQOL) in patients with stroke. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 21, 2019 Category: Information Technology Authors: Yi-No Kang, Hsiu-Nien Shen, Chia-Yun Lin, Glyn Elwyn, Szu-Chi Huang, Tsung-Fu Wu and Wen-Hsuan Hou Tags: Research article Source Type: research

Heterogeneous information network based clustering for precision traditional Chinese medicine
Traditional Chinese medicine (TCM) is a highly important complement to modern medicine and is widely practiced in China and in many other countries. The work of Chinese medicine is subject to the two factors o... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 19, 2019 Category: Information Technology Authors: Xintian Chen, Chunyang Ruan, Yanchun Zhang and Huijuan Chen Tags: Research Source Type: research

Incorporating medical code descriptions for diagnosis prediction in healthcare
Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diag... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 19, 2019 Category: Information Technology Authors: Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou and Jing Gao Tags: Research Source Type: research

EEG-based image classification via a region-level stacked bi-directional deep learning framework
As a physiological signal, EEG data cannot be subjectively changed or hidden. Compared with other physiological signals, EEG signals are directly related to human cortical activities with excellent temporal re... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 19, 2019 Category: Information Technology Authors: Ahmed Fares, Sheng-hua Zhong and Jianmin Jiang Tags: Research Source Type: research

Inter/intra-frame constrained vascular segmentation in X-ray angiographic image sequence
Automatic vascular segmentation in X-ray angiographic image sequence is of crucial interest, for instance, for better quantifying coronary arteries in diagnostic and interventional procedures. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 19, 2019 Category: Information Technology Authors: Shuang Song, Chenbing Du, Ying Chen, Danni Ai, Hong Song, Yong Huang, Yongtian Wang and Jian Yang Tags: Research Source Type: research

Selection process for botulinum toxin injections in patients with chronic-stage hemiplegic stroke: a qualitative study
Botulinum toxin (BT) injection is a new treatment for spasticity with hemiplegia after stroke. How a patient decides to receive BT injections after becoming aware of the treatment remains unclear. In this expl... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 19, 2019 Category: Information Technology Authors: Sawako Arai, Yuko Fukase, Akira Okii, Yoshimi Suzukamo and Toshimitsu Suga Tags: Research article Source Type: research

Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports
Adverse drug reaction (ADR) is a major burden for patients and healthcare industry. Early and accurate detection of potential ADRs can help to improve drug safety and reduce financial costs. Post-market sponta... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 18, 2019 Category: Information Technology Authors: Ruoqi Liu and Ping Zhang Tags: Research Article Source Type: research

Promoting healthy teenage behaviour across three European countries through the use of a novel smartphone technology platform, PEGASO fit for future: study protocol of a quasi-experimental, controlled, multi-Centre trial
Behaviour change interventions targeting physical activity, diet, sleep and sedentary behaviour of teenagers show promise when delivered through smartphones. However, to date there is no evidence of effectiven... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 17, 2019 Category: Information Technology Authors: Elisa Puigdomenech, Anne Martin, Alexandra Lang, Fulvio Adorni, Santiago Felipe Gomez, Brian McKinstry, Federica Prinelli, Laura Condon, Rajeeb Rashid, Maurizio Caon, Sarah Atkinson, Claudio L. Lafortuna, Valentina Ciociola, Janet Hanley, Lucy McCloughan, Tags: Study protocol Source Type: research

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes
Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that is classified into stages based on disease severity. We aimed to characterize the time to progression prior to death in patients ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 17, 2019 Category: Information Technology Authors: Chunlei Tang, Joseph M. Plasek, Haohan Zhang, Min-Jeoung Kang, Haokai Sheng, Yun Xiong, David W. Bates and Li Zhou Tags: Research Source Type: research

Representation learning for clinical time series prediction tasks in electronic health records
Electronic health records (EHRs) provide possibilities to improve patient care and facilitate clinical research. However, there are many challenges faced by the applications of EHRs, such as temporality, high ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 17, 2019 Category: Information Technology Authors: Tong Ruan, Liqi Lei, Yangming Zhou, Jie Zhai, Le Zhang, Ping He and Ju Gao Tags: Research Source Type: research

A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson ’s Disease
Assessment and rating of Parkinson ’s Disease (PD) are commonly based on the medical observation of several clinical manifestations, including the analysis of motor activities. In particular, medical specialist... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 12, 2019 Category: Information Technology Authors: Domenico Buongiorno, Ilaria Bortone, Giacomo Donato Cascarano, Gianpaolo Francesco Trotta, Antonio Brunetti and Vitoantonio Bevilacqua Tags: Research Source Type: research

A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images
The automatic segmentation of kidneys in medical images is not a trivial task when the subjects undergoing the medical examination are affected by Autosomal Dominant Polycystic Kidney Disease (ADPKD). Several ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 12, 2019 Category: Information Technology Authors: Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, Andrea Guerriero, Francesco Pesce, Marco Moschetta and Loreto Gesualdo Tags: Research Source Type: research

An adaptive term proximity based rocchio ’s model for clinical decision support retrieval
In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature. Pseudo Relevance Feedback (PRF) is a kind ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 12, 2019 Category: Information Technology Authors: Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He and Xingpeng Jiang Tags: Research Source Type: research

Biometric handwriting analysis to support Parkinson ’s Disease assessment and grading
Handwriting represents one of the major symptom in Parkinson ’s Disease (PD) patients. The computer-aided analysis of the handwriting allows for the identification of promising patterns that might be useful in ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 12, 2019 Category: Information Technology Authors: Giacomo Donato Cascarano, Claudio Loconsole, Antonio Brunetti, Antonio Lattarulo, Domenico Buongiorno, Giacomo Losavio, Eugenio Di Sciascio and Vitoantonio Bevilacqua Tags: Research Source Type: research

Implementation of machine learning algorithms to create diabetic patient re-admission profiles
Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today ’s computers to have the property of learning. Machine learning is g... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 12, 2019 Category: Information Technology Authors: Mohamed Alloghani, Ahmed Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily and Mohammed Khalaf Tags: Research Source Type: research

Using machine learning models to improve stroke risk level classification methods of China national stroke screening
With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China nationa... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 10, 2019 Category: Information Technology Authors: Xuemeng Li, Di Bian, Jinghui Yu, Mei Li and Dongsheng Zhao Tags: Research article Source Type: research

Representation learning in intraoperative vital signs for heart failure risk prediction
The probability of heart failure during the perioperative period is 2% on average and it is as high as 17% when accompanied by cardiovascular diseases in China. It has been the most significant cause of postop... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 9, 2019 Category: Information Technology Authors: Yuwen Chen and Baolian Qi Tags: Research article Source Type: research

Editorial: The second international workshop on health natural language processing (HealthNLP 2019)
(Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 5, 2019 Category: Information Technology Authors: Yanshan Wang, Hua Xu and Ozlem Uzuner Tags: Introduction Source Type: research

RCorp: a resource for chemical disease semantic extraction in Chinese
To robustly identify synergistic combinations of drugs, high-throughput screenings are desirable. It will be of great help to automatically identify the relations in the published papers with machine learning ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 5, 2019 Category: Information Technology Authors: Yueping Sun, Li Hou, Lu Qin, Yan Liu, Jiao Li and Qing Qian Tags: Research Source Type: research

Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text
To detect attributes of medical concepts in clinical text, a traditional method often consists of two steps: named entity recognition of attributes and then relation classification between medical concepts and... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 5, 2019 Category: Information Technology Authors: Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu and Hua Xu Tags: Research Source Type: research

TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task
With the wide application of Electronic Medical Record (EMR) systems, it has become a daily work for doctors using keyboards to input clinical information into the EMR system. Chinese Input Method Engine (IME)... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 5, 2019 Category: Information Technology Authors: Feihong Yang, Haihong Guo and Jiao Li Tags: Software Source Type: research

Natural language processing for populating lung cancer clinical research data
Lung cancer is the second most common cancer for men and women; the wide adoption of electronic health records (EHRs) offers a potential to accelerate cohort-related epidemiological studies using informatics a... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 5, 2019 Category: Information Technology Authors: Liwei Wang, Lei Luo, Yanshan Wang, Jason Wampfler, Ping Yang and Hongfang Liu Tags: Research Source Type: research

Deterrence approach on the compliance with electronic medical records privacy policy: the moderating role of computer monitoring
This study explored the possible antecedents that will motivate hospital employees ’ compliance with privacy policy related to electronic medical records (EMR) from a deterrence perspective. Further, we also in... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 4, 2019 Category: Information Technology Authors: Kuang-Ming Kuo, Paul C. Talley and Tain-Junn Cheng Tags: Research article Source Type: research

Proof-of-concept study: Homomorphically encrypted data can support real-time learning in personalized cancer medicine
The successful introduction of homomorphic encryption (HE) in clinical research holds promise for improving acceptance of data-sharing protocols, increasing sample sizes, and accelerating learning from real-wo... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 4, 2019 Category: Information Technology Authors: Silvia Paddock, Hamed Abedtash, Jacqueline Zummo and Samuel Thomas Tags: Research article Source Type: research

Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@)
The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications tech... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 3, 2019 Category: Information Technology Authors: J. F. Avila-Tomas, E. Olano-Espinosa, C. Minu é-Lorenzo, F. J. Martinez-Suberbiola, B. Matilla-Pardo, M. E. Serrano-Serrano and E. Escortell-Mayor Tags: Study protocol Source Type: research

Working with patients and the public to design an electronic health record interface: a qualitative mixed-methods study
Enabling patients to be active users of their own medical records may promote the delivery of safe, efficient care across settings. Patients are rarely involved in designing digital health record systems which... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 3, 2019 Category: Information Technology Authors: Leigh R. Warren, Matthew Harrison, Sonal Arora and Ara Darzi Tags: Research article Source Type: research

Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches
Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems an... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - December 2, 2019 Category: Information Technology Authors: Elizabeth Ford, Philip Rooney, Seb Oliver, Richard Hoile, Peter Hurley, Sube Banerjee, Harm van Marwijk and Jackie Cassell Tags: Research article Source Type: research

Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties
Electronic health record (EHR) data are available for research in all UK nations and cross-nation comparative studies are becoming more common. All UK inpatient EHRs are based around episodes, but episode-base... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 29, 2019 Category: Information Technology Authors: Sarah Rees, Ashley Akbari, Huw Collins, Sze Chim Lee, Amanda Marchant, Arfon Rees, Daniel Thayer, Ting Wang, Sophie Wood and Ann John Tags: Research article Source Type: research

Standards as applied in reality: a case study on the translation of standards in eHealth evaluation practice
Application of standards is a way to increase quality in an evaluation study. However, standards are used insufficiently in eHealth evaluation, affecting the generalization of the knowledge generated. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 29, 2019 Category: Information Technology Authors: Monika Jurkeviciute Tags: Research article Source Type: research