Development of the Joint Commission of Taiwan ’s Smart Healthcare Standard
In this study, we aimed to develop and validate a survey standard to ev aluate the level of IT involvement in hospitals. The quality improvement task force of the Joint Commission of Taiwan (QITF-JCT) conducted a systematic literature review to identify the key elements of major healthcare IT functions. The modified Delphi technique was used to review the importance and appropriateness of these elements through an expert panel, and the JCT Smart Healthcare Standard version 1.0 (JCT-SHS 1.0) was drafted. A total of 40 healthcare quality improvement campaign (HQIC) application projects in 2018 were selected for evaluating ni...
Source: Journal of Medical Systems - May 11, 2021 Category: Information Technology Source Type: research

Development of a General Statistical Analytical System Using Nationally Standardized Medical Information
AbstractIn Japan, since the Next Generation Medical Infrastructure Act regarding anonymized medical data contributing to R&D came into force in 2018, it is expected to exploit medical data for R&D. The Millennial Medical Record Project has been collected a large amount of standardized medical data of a number of hospitals stored in a database under the act. In order for users to widely exploit the medical data when carrying out trial-and-error, there is a difficulty of data access because of a highly secured management of non-anonymous medical data. To solve the data access problem, we develop a general statistical...
Source: Journal of Medical Systems - May 10, 2021 Category: Information Technology Source Type: research

Investigating the Impact of Usability on Energy Efficiency of Web-based Personal Health Records
AbstractUsability plays an important role in eHealth applications for their widespread adoption. These software systems have been studied in depth in the literature from this perspective. However, the energy consumption of information systems in the eHealth domain lacks comprehensive research. In this paper, the relationship between the energy consumption of the main components of a PC and the usability evaluations of graphical user interfaces (GUI) were studied in client applications. For this purpose, personal health records (PHR) were used as a case study. A set of 4 web-based PHRs were evaluated with the performance of...
Source: Journal of Medical Systems - May 6, 2021 Category: Information Technology Source Type: research

Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems
AbstractOngoing research efforts have been examining how to utilize artificial intelligence technology to help healthcare consumers make sense of their clinical data, such as diagnostic radiology reports. How to promote the acceptance of such novel technology is a heated research topic. Recent studies highlight the importance of providing local explanations about AI prediction and model performance to help users determine whether to trust AI ’s predictions. Despite some efforts, limited empirical research has been conducted to quantitatively measure how AI explanations impact healthcare consumers’ perceptions o...
Source: Journal of Medical Systems - May 4, 2021 Category: Information Technology Source Type: research

Impact of Rapid Medical Evaluation on Patient Flow in an Urban Emergency Department
AbstractRapid Medical Evaluation (RME) is a new Emergency Department (ED) process that initiates testing while patients are in the Waiting Room. Primary goal of this study is to assess the effectiveness of RME pathway on the patient flow through the ED.  This was a retrospective, single site, cohort study of patients presenting to the ED 12 months before (PRE group) and 12 months after (POST group) RME implementation. The POST group was divided into those that underwent RME and those managed using standard care pathway (SCP). Data was collected from Electronic Health Record (EHR) database using SQL and consi...
Source: Journal of Medical Systems - April 27, 2021 Category: Information Technology Source Type: research

A Web-based Dose-volume Histogram Dashboard for Library-based Individualized Dose-constraints and Clinical Plan Evaluation
AbstractTraditional methods of treatment planning and plan evaluation involve the use of generic dose-constraints. We aimed to build a web-based application to generate individualized dose-constraints and plan evaluation against a library of prior approved plan dose-volume histograms (DVH).A prototype was built for intensity modulated radiation therapy (IMRT) plans for prostate cancer. Using exported DVH files from the Varian and Accuray treatment planning systems, a library of plan DVHs was built by data extraction. Given structure volumes of a patient to be planned, a web based application was built to derive individual ...
Source: Journal of Medical Systems - April 26, 2021 Category: Information Technology Source Type: research

An Explainable Artificial Intelligence Framework for the Deterioration Risk Prediction of Hepatitis Patients
AbstractIn recent years, artificial intelligence-based computer aided diagnosis (CAD) system for the hepatitis has made great progress. Especially, the complex models such as deep learning achieve better performance than the simple ones due to the nonlinear hypotheses of the real world clinical data. However,complex model as a black box, which ignores why it make a certain decision, causes the model distrust from clinicians. To solve these issues, an explainable artificial intelligence (XAI) framework is proposed in this paper to give the global and local interpretation of auxiliary diagnosis of hepatitis while retaining t...
Source: Journal of Medical Systems - April 13, 2021 Category: Information Technology Source Type: research

A Novel Suture Training System for Open Surgery Replicating Procedures Performed by Experts Using Augmented Reality
This study aimed to develop a new suture training system for open surgery that provides trainees with the three-dimensional information of exemplary procedures performed by experts and allows them to observe and imitate the procedures during self-practice. The proposed system consists of a motion capture system of surgical instruments and a three-dimensional replication system of captured procedures on the surgical field. Motion capture of surgical instruments was achieved inexpensively by using cylindrical augmented reality (AR) markers, and replication of captured procedures was realized by visualizing them three-dimensi...
Source: Journal of Medical Systems - April 7, 2021 Category: Information Technology Source Type: research

Prioritizing Surgical Services during on-Going Pandemic Response: Modification and Reliability of the Medically Necessary Time Sensitive Surgery (MeNTS) Scoring Tool
We describe our modified-Delphi approach to adapt the MeNTS tool in a structured fashion and its application to gynecologic surgical services. Blinded reviewers engaged in a three-round iterative adaptation and final scoring utilizing the modified tool. The cohort consisted of 392 female consecutive gynecology patients across three Los Angeles County Hospitals awaiting scheduled procedures in the surgical queue.The majority of patients were Latina (74.7%) and premenopa usal (67.1%). Over half (52.4%) of the patients had cardiovascular disease, while 13.0% had lung disease, and 13.8% had diabetes. The most common indication...
Source: Journal of Medical Systems - April 7, 2021 Category: Information Technology Source Type: research

Experiences in Electronic Consultation (eConsult) Service in Gynecology from a Quaternary Academic Medical Center
AbstractTo evaluate an academic institution ’s implementation of a gynecologic electronic consultation (eConsult) service, including the most common queries, turnaround time, need for conversion to in-person visits, and to demonstrate how eConsults can improve access and convenience for patients and providers. This is a descriptive and retr ospective electronic chart review. We obtained data from the UCSF eConsult and Smart Referral program manager. The medical system provided institution-wide statistics. Three authors reviewed and categorized gynecologic eConsults for the last fiscal year. The senior author resolved...
Source: Journal of Medical Systems - April 6, 2021 Category: Information Technology Source Type: research

Enhancing Clinical Prediction Performance by Incorporating Intuition
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - March 30, 2021 Category: Information Technology Source Type: research

The COVID-19 Pandemic: Impact and Strategies for Sports and Exercise Medicine Researchers during Large-Scale Social Restrictions
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - March 26, 2021 Category: Information Technology Source Type: research

Eye Tracking Supported Human Factors Testing Improving Patient Training
In this study, an eye tracking supported human factors testing was performed to reveal problems during use and test the trainings’ effectiveness. In total 32 HeartWare HVAD patients (including 6 pre-VAD patients) and 3 technical experts as control group performed a battery change (BC) and a controller change (CC) as an everyday and emergency scenario on a training device. By tracking the patients’ gaze point, task duration and pump-off time were evaluated. Patients with LVAD support ≥1 year showed significantly shorter BC tas k duration than patients with LVAD support
Source: Journal of Medical Systems - March 25, 2021 Category: Information Technology Source Type: research

TensioBot: a Chatbot Assistant for Self-Managed in-House Blood Pressure Checking
AbstractHypertension is a chronic condition that can lead to serious health problems. Patients with High Blood Pressure (HBP) are often asked to have their BP checked at home. The traditional at-home procedure has some drawbacks, such as forgetting to check or write down the values, errors in transcribing the numbers, or the impossibility of immediately notifying medical staff of out-of-range BP values. To facilitate self-measurements by patients at home we devisedTensioBot, a Telegram based chatbot. The bot sends patients reminders to check their BP, advice on good monitoring practices, measurement tracking, medical alert...
Source: Journal of Medical Systems - March 15, 2021 Category: Information Technology Source Type: research

An Algorithm for Pairing Interventionalists and Surgeons for the TAVR Procedure
AbstractThe Transcatheter Aortic Valve Replacement (TAVR) procedure requires an initial consultation and a subsequent procedure by an interventionalist (IC) and surgeon. The IC-surgeon pair coordination is extremely challenging, especially at Mayo Clinic due to provider time commitments distributed across practice, research, and education activities. Current practice aims to establish the coordination manually, resulting in a scheduling process that is cumbersome and time consuming for the schedulers. We develop an algorithm for pairing ICs and surgeons that minimizes the lead time (days elapsed between the clinic consult ...
Source: Journal of Medical Systems - March 11, 2021 Category: Information Technology Source Type: research

Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study
A Correction to this paper has been published:https://doi.org/10.1007/s10916-021-01728-5 (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - March 10, 2021 Category: Information Technology Source Type: research

5K + CT Images on Fractured Limbs: A Dataset for Medical Imaging Research
AbstractImaging techniques widely use Computed Tomography (CT) scans for various purposes, such as screening, diagnosis, and decision-making. Of all, it holds true for bone injuries. To build fully automated Computer-Aided Detection (CADe) and Diagnosis (CADx) tools and techniques, it requires fairly large amount of data (with gold standard). Therefore, in this paper, since state-of-the-art works relied on small dataset, we introduced a CT image dataset on limbs that is designed to understand bone injuries. Our dataset is a collection of 24 patient-specific CT cases having fractures at upper and lower limbs. From upper lim...
Source: Journal of Medical Systems - March 9, 2021 Category: Information Technology Source Type: research

Non-pharmaceutical Interventions and the Infodemic on Twitter: Lessons Learned from Italy during the Covid-19 Pandemic
AbstractThe COVID-19 pandemic changed expectations for information dissemination and use around the globe, challenging accepted models of communications, leadership, and social systems. We explore how social media discourse about COVID-19 in Italy was affected by the rapid spread of the virus, and how themes in postings changed with the adoption of social distancing measures and non-pharmaceutical interventions (NPI). We used topic modeling and social network analysis to highlight critical dimensions of conversations around COVID-19: 1) topics in social media postings about the Coronavirus; 2) the scope and reach of social...
Source: Journal of Medical Systems - March 6, 2021 Category: Information Technology Source Type: research

Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network
AbstractIn this work, an attempt has been made to classify emotional states using electrodermal activity  (EDA) signals and multiscale convolutional neural networks. For this, EDA signals are considered from a publicly available “A Dataset for Emotion Analysis using Physiological Signals” (DEAP) database. These signals are decomposed into multiple-scales using the coarse-grained method. The multis cale signals are applied to the Multiscale Convolutional Neural Network (MSCNN) to automatically learn robust features directly from the raw signals. Experiments are performed with the MSCNN approach to evaluate ...
Source: Journal of Medical Systems - March 4, 2021 Category: Information Technology Source Type: research

Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study
AbstractEarly identification of patients with life-threatening risks such as delirium is crucial in order to initiate preventive actions as quickly as possible. Despite intense research on machine learning for the prediction of clinical outcomes, the acceptance of the integration of such complex models in clinical routine remains unclear. The aim of this study was to evaluate user acceptance of an already implemented machine learning-based application predicting the risk of delirium for in-patients. We applied a mixed methods design to collect opinions and concerns from health care professionals including physicians and nu...
Source: Journal of Medical Systems - March 1, 2021 Category: Information Technology Source Type: research

Developing an Integrated Electronic Medication Reconciliation Platform and Evaluating its Effects on Preventing Potential Duplicated Medications and Reducing 30-Day Medication-Related Hospital Revisits for Inpatients
AbstractThe aims were to develop an integrated electronic medication reconciliation (ieMR) platform, evaluate its effects on preventing potential duplicated medications, analyze the distribution of the potential duplicated medications by the Anatomical Therapeutic and Chemical (ATC) code for all inpatients, and determine the rate of 30-day medication-related hospital revisits for a geriatric unit. The study was conducted in a tertiary medical center in Taiwan and involved a retrospective quasi pre-intervention (July 1 –November 30, 2015) and post-intervention (October 1–December 31, 2016) study design. A multid...
Source: Journal of Medical Systems - March 1, 2021 Category: Information Technology Source Type: research

Intra- and Inter-Model Variability of Light Detection Using a Commercially Available Light Sensor
AbstractThe veracity of claims made by researchers and clinicians when reporting the impact of lighting on vision and other biological mechanisms is, in part, reliant on accurate and valid measurement devices. We aim to quantify the intra- and inter-watch variability of a commercially available light sensor device which has been widely used in vision and other photobiological research. Intra- and inter-watch differences were investigated between four Actiwatch Spectrum Pro devices. The devices were used to obtain measurements on two separate occasions, under three different controlled light conditions; the Gretag Macbeth J...
Source: Journal of Medical Systems - February 27, 2021 Category: Information Technology Source Type: research

Robust Data Integration Method for Classification of Biomedical Data
We present a protocol for integrating two types of biological data – clinical and molecular – for more effective classification of patients with cancer. The proposed approach is a hybrid between early and late data integration strategy. In this hybrid protocol, the set of informative clinical features is extended by the classification results based on molecular data sets. The results are then treated as new synthetic variables. The hybrid protocol was applied to METABRIC breast cancer samples and TCGA urothelial bladder carcinoma samples. Various data types were used for clinical endpoint prediction: clinical d...
Source: Journal of Medical Systems - February 23, 2021 Category: Information Technology Source Type: research

Development of Temperature Monitoring System of Hospital Cold Storages Based on Wireless Network and its Database Management
AbstractStoring bio-specimens in adequate temperatures is an important task in hospitals. Usually an assigned employee records manually the temperatures of the hospital cold storages such as refrigerators and freezers that keep them at regular intervals. In this research, a low power wireless Bluetooth Low Energy network is applied where the central monitoring personal computer, receives the temperature data and stores in a database. The system consists of many beacons which are wirelessly sending the measured temperature data, and the central monitoring computer which allows the user to monitor that data. In the case of w...
Source: Journal of Medical Systems - February 22, 2021 Category: Information Technology Source Type: research

My Data, My Choice? – German Patient Organizations’ Attitudes towards Big Data-Driven Approaches in Personalized Medicine. An Empirical-Ethical Study
AbstractPersonalized medicine (PM) operates with biological data to optimize therapy  or prevention and to achieve cost reduction. Associated data may consist of large variations of informational subtypes e.g. genetic characteristics and their epigenetic modifications, biomarkers or even individual lifestyle factors. Present innovations in the field of information technology have already enabled the procession of increasingly large amounts of such data (‘volume’) from various sources (‘variety’) and varying quality in terms of data accuracy (‘veracity’) to facilitate the genera...
Source: Journal of Medical Systems - February 22, 2021 Category: Information Technology Source Type: research

Practice in Information Technology Support for Fangcang Shelter Hospital during COVID-19 Epidemic in Wuhan, China
AbstractIn confronting the sudden epidemic of COVID-19, China and other countries have been under great deal of pressure to block virus transmission and reduce death cases. Fangcang shelter hospital, which is converted from large-scale public venue, is proposed and proven to be an effective way for administering medical care and social isolation. This paper presents the practice in information technology support for a Fangcang shelter hospital in Wuhan, China. The experiences include the deployment strategy of IT infrastructure, the redesign of function modules in the hospital information system (HIS), equipment maintenanc...
Source: Journal of Medical Systems - February 19, 2021 Category: Information Technology Source Type: research

Conditions for CNT – Coated Textile Sensors Applied to Wearable Platforms to Monitor Limb Joint Motion
AbstractDespite recent research on joint motion measurement to monitor human body movement, current measurement techniques and tools have significant limitations, including requiring large space for measurement and causing discomfort in test subjects wearing motion sensors. Our study aims, first, to develop carbon nanotube (CNT)-based textile joint motion sensors. Second, ours study aims to identify the most suitable CNT-based sensor structure and attachment method for use on a wearable platform during general exercise speeds. Lastly, we used these sensors on the human body, using sleeves and legs to find the most stable l...
Source: Journal of Medical Systems - February 19, 2021 Category: Information Technology Source Type: research

Rician Denoising Based on Correlated Local Features LMMSE Approach
In this study we propose a novel correction scheme that filters Magnetic Resonance Images data, by using a modified Linear Minimum Mean Square Error (LMMSE) estimator which takes into account the joint information of the local features. A closed-form analytical solution for our estimator is presented and it proves to make the filtering process far simpler and faster than other estimation techniques that rely on iterative optimization scheme and require multiple data samples. An experimental validation of our correction scheme was carried out through large scale experiments using both clinical and synthetic MR images, artif...
Source: Journal of Medical Systems - February 19, 2021 Category: Information Technology Source Type: research

Facial Recognition Technology in 2021: Masks, Bias, and the Future of Healthcare
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - February 18, 2021 Category: Information Technology Source Type: research

Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology
This study designed a real-time dose visualization system for interventional radiology designed with mixed reality technology and Monte Carlo simulation. An earlier report described a Monte-Carlo-based estimation system, which simulates a patient ’s skin dose and air dose distributions, adopted for our system. We also developed a system of acquiring fluoroscopic conditions to input them into the Monte Carlo system. Then we combined the Monte Carlo system with a wearable device for three-dimensional holographic visualization. The estimated doses were transferred sequentially to the device. The patient’s dose dis...
Source: Journal of Medical Systems - February 17, 2021 Category: Information Technology Source Type: research

Perioperative Cryoprecipitate Waste Reduction
AbstractImprovement of operating room efficiency regarding perioperative blood product transfusion is fundamental for surgical patients. The aim of this study was to 1) assess the use of cryoprecipitate in the operating room at our institution 2) identify and address gaps in knowledge regarding the process of ordering and returning cryoprecipitate 3) aim to reduce cryoprecipitate wastage by 50% over a 14-month period. Institutional data from Dec. 2017 to April 2020 was retrieved on cryoprecipitate that was ordered, thawed, and delivered to the operating room. Additionally, data was collected regarding cryoprecipitate that ...
Source: Journal of Medical Systems - February 10, 2021 Category: Information Technology Source Type: research

Smartphone Apps in Graduate Medical Education Virtual Recruitment During the COVID-19 Pandemic
AbstractThe COVID-19 pandemic required a shift of graduate medical education recruitment to a virtual format. In order to share information and insight into the culture of our program with applicants, we created a smartphone app for those that were invited for an interview. By collecting the analytics of the app, we were able to follow trends in the timing of applicants downloading the app, their viewing histories, and when information was accessed. The app was mostly downloaded at the time of the interview invite or 48  h prior to the interview day. Around the interview day, applicants tended to access trainee profil...
Source: Journal of Medical Systems - February 9, 2021 Category: Information Technology Source Type: research

A Survey About Real-Time Location Systems in Healthcare Environments
AbstractEvery year healthcare organizations suffer from several issues, such as unapropriated workflow, thousands of deaths caused by medical errors, counterfeit drugs, and increasing costs. To offer better patient care and increase profit, hospitals could adopt solutions that help remedy these problems. Real-Time Location Systems have the potential to deal with many of these issues, as well as offering means for developing new and intelligent solutions. This kind of system enables tracking assets and people, allowing several improvements. Even though the benefits of such solutions are well known and desired by healthcare ...
Source: Journal of Medical Systems - February 9, 2021 Category: Information Technology Source Type: research

Monitoring Perioperative Services Using 3D Multi-Objective Performance Frontiers
AbstractThe Acute Care Surgery model has been widely adopted by hospitals across the United States, with Acute Care Surgery services managing Emergency General Surgery patients that were previously being treated by General Surgery. In this analysis, we evaluate the impact of an Acute Care Surgery service model on General Surgery at the University of Vermont Medical Center using three metrics: under-utilized time, spillover time, and a financial ratio of work Relative Value Units over clinical Full Time Equivalents. These metrics are evaluated and used to identify three-dimensional Pareto optimality of General Surgery prior...
Source: Journal of Medical Systems - February 6, 2021 Category: Information Technology Source Type: research

Event Surrogate from Clinical Pathway Completion to Daily Meal for Availability Extension Using Standard Electronic Medical Records: a Retrospective Cohort Study
This study aimed to improve generalizability of our previous study that analyzed clinical pathway (CP) completion. Although our previous study demonstrated that CP completion can reduce the length of hospital stay, it is possible for few medical organizations to extract the implementation of treatment registered on CP from typical electronic medical records. Therefore, we have defined a prospective event for event substitution, called meal completion (MC), in which patients can take their meal daily. Data were collected from April 2013 to March 2018 from the electronic medical records of the University of Miyazaki Hospital...
Source: Journal of Medical Systems - February 5, 2021 Category: Information Technology Source Type: research

Suitability of Hood Geometry for Design of a PCM Neonate Incubator for Resource-Limited Clinical Applications
This study intends to explore the use of phase change material (PCM) such as paraffin wax as an alternative heat source over a variety of incubator hood geometries. This study presents three incubator hood geometries and their respective effects on maximum hood temperatures and time to reach these temperatures for a mainstream incubator. The three designs, cubic, pyramidal, and oval, were created using CAD software; mathematical computations for heat transfer analysis were undertaken using COMSOL Multiphysics software. Results show the maximum temperatures reached in the hoods were 308, 314.5, and 315  K for the cubic...
Source: Journal of Medical Systems - February 3, 2021 Category: Information Technology Source Type: research

A Hybrid Model to Classify Patients with Chronic Obstructive Respiratory Diseases
AbstractOver the last decades, an increase in the ageing population and age-related diseases has been observed, with the increase in healthcare costs. As so, new solutions to provide more efficient and affordable support to this group of patients are needed. Such solutions should never discard the user and instead should focus on promoting more healthy lifestyles and provide tools for patients ’ active participation in the treatment and management of their diseases. In this concern, the Personal Health Empowerment (PHE) project presented in this paper aims to empower patients to monitor and improve their health, usin...
Source: Journal of Medical Systems - January 30, 2021 Category: Information Technology Source Type: research

Structured Digital Self-Assessment of Patient Anamnesis Prior to Computed Tomography: Performance Evaluation and Added Value
AbstractThe aim of this study was to evaluate the performance of a tablet-based, digitized structured self-assessment (DSSA) of patient anamnesis (PA) prior to computed tomography (CT). Of the 317 patients consecutively referred for CT, the majority (n = 294) was able to complete the tablet-based questionnaire, which consisted of 67 items covering social anamnesis, lifestyle factors (e.g., tobacco abuse), medical history (e.g., kidney diseases), current symptoms, and the usability of the system. Patients were able to mark unclear questions for a subsequent discussion with the radiologist. Critical issues for th...
Source: Journal of Medical Systems - January 28, 2021 Category: Information Technology Source Type: research

Forecasting the Patients Flow at Pediatric Emergency Departments
AbstractEmergency departments (EDs) have a key role in the public health system. They are facing a constant growth of their volume. Forecasting the daily volume is a major tool to adapt the allocation of resources. In this paper, we focus on pediatric EDs. They are specific by their strong seasonal variation, determined by the academic pace. The main contribution of this paper is to integrate the effects of this pace to the annual seasonality. We also tried out to improve the daily forecasting by forecasting the week means of the flow first. We trained and tested these models specifically on the pediatric EDs of Paris univ...
Source: Journal of Medical Systems - January 28, 2021 Category: Information Technology Source Type: research

A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort
AbstractComputer Tomography (CT) is currently being adapted for visualization of COVID-19 lung damage. Manual classification and characterization of COVID-19 may be biased depending on the expert ’s opinion. Artificial Intelligence has recently penetrated COVID-19, especially deep learning paradigms. There arenine kinds of classification systems in this study, namelyone deep learning-based CNN,five kinds of transfer learning (TL) systems namely VGG16, DenseNet121, DenseNet169, DenseNet201 and MobileNet,three kinds of machine-learning (ML) systems, namely artificial neural network (ANN), decision tree (DT), and random...
Source: Journal of Medical Systems - January 26, 2021 Category: Information Technology Source Type: research

3D-Volume Rendering of the Pelvis with Emphasis on Paraurethral Structures Based on MRI Scans and Comparisons between 3D Slicer and OsiriX ®
AbstractThe feasibility of rendering three dimensional (3D) pelvic models of vaginal, urethral and paraurethral lesions from 2D MRI has been demonstrated previously. To quantitatively compare 3D models using two different image processing applications: 3D Slicer and OsiriX. Secondary analysis and processing of five MRI scan based image sets from female patients aged 29 –43 years old with vaginal or paraurethral lesions. Cross sectional image sets were used to create 3D models of the pelvic structures with 3D Slicer and OsiriX image processing applications. The linear dimensions of the models created using the tw...
Source: Journal of Medical Systems - January 20, 2021 Category: Information Technology Source Type: research

Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - January 18, 2021 Category: Information Technology Source Type: research

Passive Auto Focusing of Pathological Microscope with Intelligent Field Image Collection Mechanism
AbstractThe microscope is one of the widely used pathological equipment to analyze body fluids like blood, sputum, etc. in granular level. In order to reduce workload on pathologists and strengthen the telehealth services, an automatic self-focusing microscope with different field image collection mechanism is required. In this work, the conversion of a compound microscope into a complete digital self-focusing automatic microscope, with intelligent field image collection mechanism, is discussed. This method uses passive autofocusing technique. In this method, most informative regions are identified on the basis of texture ...
Source: Journal of Medical Systems - January 16, 2021 Category: Information Technology Source Type: research

Access to Broadband Internet and its Utilization for Health Information Seeking and Health Communication among Informal Caregivers in the United States
This study examines the predictors of access to broadband internet and the factors associated with health information seeking and health communication among informal caregivers with broadband internet. We used data from cycles 1 and 2 of the Health Information National Trends Survey (HINTS 5) and employed generalized linear regression models with the maximum likelihood estimation. Specifically, we performed a two-part model: (1) a logistic regression model of broadband internet access among all caregivers (n = 929) and (2) a logistic regression model of health information seeking and health communication amon...
Source: Journal of Medical Systems - January 15, 2021 Category: Information Technology Source Type: research

Impact of Digital Health Monitoring in the Management of Inflammatory Bowel Disease
This study demonstrated that digital health monitoring platforms may aid in reducing the number of ER visits and hospitalizations in IBD patients. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - January 15, 2021 Category: Information Technology Source Type: research

Towards the Use of Blockchain in Mobile Health Services and Applications
AbstractWith the advent of cryptocurrencies and blockchain, the growth and adaptation of cryptographic features and capabilities were quickly extended to new and underexplored areas, such as healthcare. Currently, blockchain is being implemented mainly as a mechanism to secure Electronic Health Records (EHRs). However, new studies have shown that this technology can be a powerful tool in empowering patients to control their own health data, as well for enabling a fool-proof health data history and establishing medical responsibility. Additionally, with the proliferation of mobile health (m-Health) sustained on service-orie...
Source: Journal of Medical Systems - January 11, 2021 Category: Information Technology Source Type: research

Mobile Technology for Improved Contraceptive Care in Morocco
AbstractThe fulfillment of unmet needs for contraception can help women reach their reproductive goals. Therefore, there is a growing concern worldwide about contraception and women ’s knowledge of making an advised choice about it. In this aspect, an outgrown number of apps are now available providing information concerning contraception whether it concerns natural contraception or modern contraception. However, vast amounts of these apps contain inaccurate sexual health fac ts and non-evidence-based information concerning contraception. On these bases, and in respect to: (1) the needs of women to effectively preven...
Source: Journal of Medical Systems - January 11, 2021 Category: Information Technology Source Type: research

Automatic Lung Health Screening Using Respiratory Sounds
AbstractSignificant changes have been made on audio-based technologies over years in several different fields. Healthcare is no exception. One of such avenues is health screening based on respiratory sounds. In this paper, we developed a tool to detect respiratory sounds that come from respiratory infection carrying patients. Linear Predictive Cepstral Coefficient (LPCC)-based features were used to characterize such audio clips. With Multilayer Perceptron (MLP)-based classifier, in our experiment, we achieved the highest possible accuracy of 99.22% that was tested on a publicly available respiratory sounds dataset (ICBHI17...
Source: Journal of Medical Systems - January 11, 2021 Category: Information Technology Source Type: research

Non-alcoholic Fatty Liver and Liver Fibrosis Predictive Analytics: Risk Prediction and Machine Learning Techniques for Improved Preventive Medicine
AbstractNon-alcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide, with a prevalence of 20% –30% in the general population. NAFLD is associated with increased risk of cardiovascular disease and may progress to cirrhosis with time. The purpose of this study was to predict the risks associated with NAFLD and advanced fibrosis on the Fatty Liver Index (FLI) and the ‘NAFLD fibrosis 4’ ca lculator (FIB-4), to enable physicians to make more optimal preventive medical decisions. A prospective cohort of apparently healthy volunteers from the Tel Aviv Medical Center Inflammation Survey (...
Source: Journal of Medical Systems - January 11, 2021 Category: Information Technology Source Type: research

Computer-Generated Three-Dimensional Airway Models as a Decision-Support Tool for Preoperative Evaluation and Procedure-Planning in Pediatric Anesthesiology
AbstractTechnology improvements have rapidly advanced medicine over the last few decades. New approaches are constantly being developed and utilized. Anesthesiology strongly relies on technology for resuscitation, life-support, monitoring, safety, clinical care, and education. This manuscript describes a reverse engineering process to confirm the fit of a medical device in a pediatric patient. The method uses virtual reality and three-dimensional printing technologies to evaluate the feasibility of a complex procedure requiring one-lung isolation and one-lung ventilation. Based on the results of the device fit analysis, th...
Source: Journal of Medical Systems - January 11, 2021 Category: Information Technology Source Type: research