Using Telehealth Cardiopulmonary Rehabilitation during the COVID-19 Pandemic
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - May 28, 2020 Category: Information Technology Source Type: research

Applications of Artificial Intelligence in the Screening of Glaucoma in China
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - May 27, 2020 Category: Information Technology Source Type: research

Implementation of Medical and Scientific Cooperation in the Caribbean Using Blockchain Technology in Coronavirus (Covid-19) Pandemics
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - May 26, 2020 Category: Information Technology Source Type: research

Study on the Acceptability of an ICT Platform for Older Adults with Mild Cognitive Impairment
AbstractEhcoBUTLER is an Information and Communication Technology (ICT) solution funded by the European Union (H2020; ID: 643566) and intended especially for elderly people with mild cognitive impairment (MCI) to improve their health, independence and quality of life, particularly at the social level. The purpose of this study is to assess the acceptability of ehcoBUTLER based on a survey delivered to potential users and actors involved in their care, exploring their expectations and preferences, while anticipating the system ’s functional requirements. The survey was delivered online to 313 participants (11% end use...
Source: Journal of Medical Systems - May 25, 2020 Category: Information Technology Source Type: research

Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review
This study reviewed the state-of-the-art techniques for CoV prediction algorithms based on data mining and ML assessment. The reliability and acceptability of extracted information and datasets from implemented technologies in the literature were considered. Findings showed that researchers must proceed with insights they gain, focus on id entifying solutions for CoV problems, and introduce new improvements. The growing emphasis on data mining and ML techniques in medical fields can provide the right environment for change and improvement. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - May 25, 2020 Category: Information Technology Source Type: research

Letter to the editor of the Journal of Medical Systems: Regarding & quot;De-Identification of Radiomics Data Retaining Longitudinal Temporal Information & quot;
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - May 25, 2020 Category: Information Technology Source Type: research

New Method to Reduce COVID-19 Transmission - The Need for Medical Air Disinfection is Now
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - May 21, 2020 Category: Information Technology Source Type: research

Detection of Depression and Scaling of Severity Using Six Channel EEG Data
In this study, features are extracted from the temporal region of the brain using six (FT7, FT8, T7, T8, TP7, TP8) channels. The linear features used are delta, theta, alpha, beta, gamma1 and gamma2 band power and their corresponding asymmetry as well as paired asymmetry. The non-linear features used are Sample Entropy (SampEn) and Detrended Fluctuation Analysis (DFA). The classifiers used are: Bagging along with three different kernel functions (Polynomial, Gaussian and Sigmoidal) of Support Vector Machine (SVM). Feature selection technique used is ReliefF. Highest classification accuracy of 96.02% and 79.19% was achieved...
Source: Journal of Medical Systems - May 21, 2020 Category: Information Technology Source Type: research

The Rising Number of COVID-19 Cases Reflecting Growing Search Trend and Concern of People: A Google Trend Analysis of Eight Major Countries
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - May 20, 2020 Category: Information Technology Source Type: research

Usefulness of an Online Preliminary Questionnaire under the COVID-19 Pandemic
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - May 19, 2020 Category: Information Technology Source Type: research

Achieving Surgical Supply Savings through Preference Card Standardization
This article documents efforts and results of an initiative to standardize preference cards for Laparoscopic Cholecystectomies. Data collected for this project outlin ed differences between surgeon’s preference card composition, utilization of selected supplies and associated procedure costs. Reports were developed that grouped surgical supplies based on United Nations Standard Products and Services Code (UNSPC) product classes and highlighted classes with the highest per case standard deviations. Based on these findings and feedback from clinical partners, a composite set of supplies for use across all preference ca...
Source: Journal of Medical Systems - May 16, 2020 Category: Information Technology Source Type: research

Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network
AbstractAtrial fibrillation (AF) is a cardiac arrhythmia which is characterized based on the irregsular beating of atria, resulting in, the abnormal atrial patterns that are observed in the electrocardiogram (ECG) signal. The early detection of this pathology is very helpful for minimizing the chances of stroke, other heart-related disorders, and coronary artery diseases. This paper proposes a novel method for the detection of AF pathology based on the analysis of the ECG signal. The method adopts a multi-rate cosine filter bank architecture for the evaluation of coefficients from the ECG signal at different subbands, in t...
Source: Journal of Medical Systems - May 10, 2020 Category: Information Technology Source Type: research

Assessing healthcare service quality using routinely collected data: Linking information systems in emergency care
AbstractEmergency departments need to continuously calculate quality indicators in order to perform structural improvements, improvements in the daily routine, and ad-hoc improvements in everyday life. However, many different actors across multiple disciplines collaborate to provide emergency care. Hence, patient-related data is stored in several information systems, which in turn makes the calculation of quality indicators more difficult. To address this issue, we aim to link and use routinely collected data of the different actors within the emergency care continuum. In order to assess the feasibility of linking and usin...
Source: Journal of Medical Systems - May 8, 2020 Category: Information Technology Source Type: research

Evaluating people ’s concern about their health information privacy based on power-responsibility equilibrium model: A case of Taiwan
This study leverages the power-responsibility equilibrium perspective to investigate the antecedents and consequences of concerns for the EMR exchange. A survey using 391 responses collected from medical centers, regional and district hospitals in Taiwan was used to conduct this study. The results show that government regulations have a positive effect on hospital privacy policies. Furthermore, both government regulations and hospital privacy policy are negatively associated with concern for EMR information privacy. Additional reports gathered from this study also showed that concern for EMR information privacy could ...
Source: Journal of Medical Systems - May 7, 2020 Category: Information Technology Source Type: research

Pathologist Opinions about EPIC Beaker AP: a Multi-Institutional Survey of Early Adopters
AbstractEPIC Systems Corporation provides a widely used electronic medical record. Beaker Anatomic Pathology is a newly developed laboratory information system (LIS) that has been implemented at a small number of academic pathology departments. Pathologist opinions of EPIC Beaker AP have not been well described in the literature. A 37-question survey was administered to pathologists and pathology trainees to assess overall satisfaction and efficiency of report generation using Beaker AP. Data about experience in pathology, signout responsibilities, Beaker AP usage, and the legacy LIS was also collected. Seventy-four pathol...
Source: Journal of Medical Systems - May 6, 2020 Category: Information Technology Source Type: research

Intentions Recognition of EEG Signals with High Arousal Degree for Complex Task
AbstractThis paper presents a novel electroencephalography (EEG) evoked paradigm based on neurological rehabilitation. By implementing a conceptual model “cup-and-ball” system, EEG signals in manipulating the dynamic constrained objects are generated. Based on the operational EEG signals, a method is proposed to recognize different mental intentions. Under the manipulating task with a high arousal level, common spatial patterns (CSP) is used to e xtract and optimize features of the EEG signals from ten participants. Quadratic discriminant analysis (QDA) is implemented on EEG signals in different dimensions to i...
Source: Journal of Medical Systems - May 4, 2020 Category: Information Technology Source Type: research

Efficiency of Mobile Video Sharing Application (WhatsApp ®) in Live Field Image Transmission for Telepathology
AbstractTelepathology is in its nascent stages in India. Video calling applications in mobile phones can be efficiently used to transmit static and live field microscopic images hastening low cost telepathology. To evaluate the efficiency of WhatsApp ® Video Calling for dynamic microscopy in distant diagnosis. Thirty haematoxylin and eosin stained slides of common pathologies were retrieved from the archives of Department of Oral Pathology and Microbiology, coded with relevant history and given to three untrained investigators. The investigator s then connected a mobile phone with VOIP facility to a microscope using a ...
Source: Journal of Medical Systems - May 2, 2020 Category: Information Technology Source Type: research

How about actively using telemedicine during the COVID-19 pandemic?
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - April 30, 2020 Category: Information Technology Source Type: research

Gait-Based Machine Learning for Classifying Patients with Different Types of Mild Cognitive Impairment
AbstractMild cognitive impairment (MCI) may be caused by Alzheimer ’s disease, Parkinson’s disease (PD), cerebrovascular accident, nutritional or metabolic disorders, or mental disorders. It is important to determine the cause and treatment of dementia as early as possible because dementia may appear in remission. Decline in MCI cognitive function may affect a patient’s walking performance. Therefore, all participants in this study participated in an experiment using a portable gait analysis system to perform walk, time up and go, and jump tests. The collected gait parameters are used in a machine learnin...
Source: Journal of Medical Systems - April 23, 2020 Category: Information Technology Source Type: research

An Experience of Electronic Health Records Implementation in a Mexican Region
AbstractEmploying software engineering to build an integrated, standardized, and scalable solution is closely associated with the healthcare domain. Furthermore, new diagnostic techniques have been developed to obtain better results in less time, saving costs, and bringing services closer to the most unprotected areas. This paper presents the integration of a top-notch component, such as hardware, software, telecommunications, and medical equipment, to produce a complete system of Electronic Health Record (EHR). The EHR implementation aims to contribute to the expansion of the health services offer concerning people who li...
Source: Journal of Medical Systems - April 22, 2020 Category: Information Technology Source Type: research

Causation between Pathway Completion and Reduced Hospital Stay in Patients with Lung Cancer: a Retrospective Cohort Study Using Propensity Score Matching
AbstractWe have previously demonstrated that clinical pathway completion helps reduce hospital stays. However, our previous results showed only a correlation, not causation. Therefore, the current study ’s aim was to analyze the causation between clinical pathway completion and reduced hospital stays for patients with lung cancer. Data were collected from April 2013 to March 2018 from the electronic medical records of the University of Miyazaki Hospital. We used propensity score matching to extra ct records from 227 patients. Patients were further divided into a pathway completed group and a pathway not completed gro...
Source: Journal of Medical Systems - April 21, 2020 Category: Information Technology Source Type: research

Using Quality Improvement Methodology to Reduce Costs while Improving Efficiency and Provider Satisfaction in a Busy, Academic Musculoskeletal Radiology Division
AbstractWithin an everchanging healthcare system, continuous evaluation of standard operating procedures must be performed to ensure optimization of system level organization, communication, and efficiency. Using the Lean management approach, our institution introduced modifications to our musculoskeletal (MSK) radiology workflow in order to facilitate beneficial change that improved clinical workflow efficiency, reduced moonlighting costs, and improved radiologist satisfaction without sacrificing quality of care. The scope of our study included the MSK division of adult inpatient and outpatient populations at three hospit...
Source: Journal of Medical Systems - April 21, 2020 Category: Information Technology Source Type: research

Fuzzy Gray Level Difference Histogram Equalization for Medical Image Enhancement
AbstractContrast enhancement methods are used to reduce image noise and increase the contrast of structures of interest. In medical images where the distinction between normal and abnormal tissue is subtle, accurate interpretation may become difficult if noise levels are relatively high. To provide accurate interpretation and clearer image for the observer with reduced noise levels “a novel adaptive fuzzy gray level difference histogram equalization algorithm” is proposed. At first, gray level difference of an input image is calculated using the binary similar patterns. Then, the gray level differences are fuzz...
Source: Journal of Medical Systems - April 19, 2020 Category: Information Technology Source Type: research

How Can Blockchain Help People in the Event of Pandemics Such as the COVID-19?
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - April 16, 2020 Category: Information Technology Source Type: research

A Collaborative Framework Based for Semantic Patients-Behavior Analysis and Highlight Topics Discovery of Alcoholic Beverages in Online Healthcare Forums
AbstractMedical data in online groups and social media contain valuable information, which is provided by both healthcare professionals and patients. In fact, patients can talk freely and share their personal experiences. These resources are a valuable opportunity for health professionals who can access patients ’ opinions, as well as discussions between patients. Recently, the data processing of the health community and, how to extract knowledge is a significant technical challenge. There are many online group and forums that users can discuss on healthcare issues. Therefore, we can examine these text do cuments for...
Source: Journal of Medical Systems - April 7, 2020 Category: Information Technology Source Type: research

Evaluative Research of Technologies for Prehospital Communication and Coordination: a Systematic Review
AbstractVarious technologies have been designed and developed to support communication and coordination between the field and hospital during a medical emergency. The usability issues and human factors entailed in these new technologies are important to their application and effectiveness, suggesting the need to examine this information in a systematic review. The systematic review aims to synthesize the user-centered evaluative research of prehospital communication technologies. We conducted a systematic literature search in four databases (Medline, Cochrane, Embase, and Web of Science) for articles published between the ...
Source: Journal of Medical Systems - April 3, 2020 Category: Information Technology Source Type: research

De-Identification of Radiomics Data Retaining Longitudinal Temporal Information
AbstractWe propose a de-identification system which runs in a standalone mode. The system takes care of the de-identification of radiation oncology patient ’s clinical and annotated imaging data including RTSTRUCT, RTPLAN, and RTDOSE. The clinical data consists of diagnosis, stages, outcome, and treatment information of the patient. The imaging data could be the diagnostic, therapy planning, and verification images. Archival of the longitudinal radia tion oncology verification images like cone beam CT scans along with the initial imaging and clinical data are preserved in the process. During the de-identification, th...
Source: Journal of Medical Systems - April 2, 2020 Category: Information Technology Source Type: research

Transforming Healthcare Cybersecurity from Reactive to Proactive: Current Status and Future Recommendations
AbstractThe recent rise in cybersecurity breaches in healthcare organizations has put patients ’ privacy at a higher risk of being exposed. Despite this threat and the additional danger posed by such incidents to patients’ safety, as well as operational and financial threats to healthcare organizations, very few studies have systematically examined the cybersecurity threats in healthcare . To lay a firm foundation for healthcare organizations and policymakers in better understanding the complexity of the issue of cybersecurity, this study explores the major type of cybersecurity threats for healthcare orga...
Source: Journal of Medical Systems - April 2, 2020 Category: Information Technology Source Type: research

Efficient and Secure Attribute Based Access Control Architecture for Smart Healthcare
AbstractThe smart health medical system is expected to enhance the quality of health care services significantly. These system keeps patients related record and provides the services over the insecure public channel which may cause data security and privacy concerns in a smart health system. On the other hand, ciphertext attribute-based encryption(CP-ABE) provides possible encrypted data security. There are some security flaws in CP-ABE, where the existing access policies are in the cleartext form for accessing encrypted sensitive data. On the other hand, it supports the small attribute universe, which restricts the practi...
Source: Journal of Medical Systems - March 30, 2020 Category: Information Technology Source Type: research

Optic Disc and Cup Image Segmentation Utilizing Contour-Based Transformation and Sequence Labeling Networks
AbstractOptic disc (OD) and optic cup (OC) segmentation are important steps for automatic screening and diagnosing of optic nerve head abnormalities such as glaucoma. Many recent works formulated the OD and OC segmentation as a pixel classification task. However, it is hard for these methods to explicitly model the spatial relations between the labels in the output mask. Furthermore, the proportion of the background, OD and OC are unbalanced which also may result in a biased model as well as introduce more noise. To address these problems, we developed an approach that follows a coarse-to-fine segmentation process. We star...
Source: Journal of Medical Systems - March 20, 2020 Category: Information Technology Source Type: research

VR4Health: Personalized teaching and learning anatomy using VR
AbstractVirtual Reality (VR) is being integrated into many different areas of our lives, from industrial engineering to video-games, and also including teaching and education. We have several examples where VR has been used to engage students and facilitate their 3D spatial understanding, but can VR help also teachers? What are the benefits teachers can obtain on using VR applications? In this paper we present an application (VR4Health) designed to allow students to directly inspect 3D models of several human organs by using Virtual Reality systems. The application is designed to be used in an HMD device autonomously as a ...
Source: Journal of Medical Systems - March 19, 2020 Category: Information Technology Source Type: research

Internet Intervention System for Elderly Hypertensive Patients Based on Hospital Community Family Edge Network and Personal Medical Resources Optimization
AbstractIn view of the contradiction between the medical service demand of elderly patients with hypertension and the ability of hospital, community and family medical service security, based on the optimization of the hospital community family edge network and personal medical resources, this paper designs an Internet intervention system for elderly patients with hypertension. Firstly, based on studying the process and problems of the three-dimensional medical and health management service of hospitals, communities and families, the multi-dimensional medical and health management service edge network is formed with the go...
Source: Journal of Medical Systems - March 19, 2020 Category: Information Technology Source Type: research

Efficient NTRU Lattice-Based Certificateless Signature Scheme for Medical Cyber-Physical Systems
AbstractAn electronic health (e-health) system, such as a medical cyber-physical system, offers a number of benefits (e.g. inform medical diagnosis). There are, however, a number of considerations in the implementation of the medical cyber-physical system, such as the integrity of medical / healthcare data (e.g. manipulated data can result in misdiagnosis). A number of digital signature schemes have been proposed in recent years to mitigate some of these challenges. However, the security of existing signatures is mostly based on conventional difficult mathematical problems, which are known to be insecure against quantum at...
Source: Journal of Medical Systems - March 18, 2020 Category: Information Technology Source Type: research

AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data
AbstractThe novel coronavirus (COVID-19) outbreak, which was identified in late 2019, requires special attention because of its future epidemics and possible global threats. Beside clinical procedures and treatments, since Artificial Intelligence (AI) promises a new paradigm for healthcare, several different AI tools that are built upon Machine Learning (ML) algorithms are employed for analyzing data and decision-making processes. This means that AI-driven tools help identify COVID-19 outbreaks as well as forecast their nature of spread across the globe. However, unlike other healthcare issues, for COVID-19, to detect COVI...
Source: Journal of Medical Systems - March 18, 2020 Category: Information Technology Source Type: research

Ensemble Methodology for Confidence Interval in Oscillometric Blood Pressure Measurements
AbstractOscillometry blood pressure measurements are commonly used to measure blood pressure for many patients at hospitals, home, and office and they are actively studied recently. These devices generally offer a single blood pressure point and they are not able to indicate the confidence interval of the measured quantity. Therefore, we introduce a novel technique using ensemble-based adaptive methodology to measure confidence interval for oscillometry blood pressure measurements. The ensemble-based adaptive methodology that is used to accurately estimate blood pressure and then measure the confidence interval for the sys...
Source: Journal of Medical Systems - March 17, 2020 Category: Information Technology Source Type: research

Information and Communication Technology, Mobile Devices, and Medical Education
AbstractInformation and communication technologies (ICT) are practical and highly available tools. In medical education, ICTs allow physicians to update their knowledge and remember the necessary information within reach of current mobile devices. ICTs as preparation tools for medical education have not been reported for medical students in Mexico. To assess the use of mobile devices as ICTs with medical education purposes, we distributed a questionnaire through an online survey management system to all the medical students (n = 180) from a private university in Mexico City, 100% agreed to participate. We dev...
Source: Journal of Medical Systems - March 16, 2020 Category: Information Technology Source Type: research

Inclusive Oral Healthcare for a better Future Together
AbstractOral health is a critical component to overall quality of life. Recommendations and guidelines for oral health continue to evolve while remaining underutilized worldwide. Still, oral healthcare parity and equity are achievable. This public health priority must be supported with stronger research, service delivery must be equitable and transparent, and the impact of oral healthcare must be fully understood. Data, surveillance, evidence and translation must be improved for oral health specialties as well as for greater global governance. Further, interdisciplinary coordination between orthodontic, dentistry, medical,...
Source: Journal of Medical Systems - March 14, 2020 Category: Information Technology Source Type: research

Measurement of Physical Parameters and Development of a Light Emitting Diodes Device for Therapeutic Use
The objective of this study was to develop a light-emitting device using LED, with proper measurements for application in clinical research. It was used 267 LEDs, powered with 12-V voltage and fixed on a plate of ethylene-vinyl acetate (25  × 42 cm), equidistant at 1.0 cm. For the calculation of red and infrared irradiation, a spectrometer was used, and the data were processed in routines implemented in the OriginPro 8.5.0 SR1 Software. The irradiance was determined by the integration of the spectral irradiation in the LED emiss ion region. The red LED has a wavelength of 620 ±&thinsp...
Source: Journal of Medical Systems - March 12, 2020 Category: Information Technology Source Type: research

Graph-Representation of Patient Data: a Systematic Literature Review
AbstractGraph theory is a well-established theory with many methods used in mathematics to study graph structures. In the field of medicine, electronic health records (EHR) are commonly used to store and analyze patient data. Consequently, it seems straight-forward to perform research on modeling EHR data as graphs. This systematic literature review aims to investigate the frontiers of the current research in the field of graphs representing and processing patient data. We want to show, which areas of research in this context need further investigation. The databases MEDLINE, Web of Science, IEEE Xplore and ACM digital lib...
Source: Journal of Medical Systems - March 12, 2020 Category: Information Technology Source Type: research

Statistical Analysis to Find out the Optimal Locations for Non Invasive Brain Stimulation
AbstractNon-invasive brain electrical stimulation (NIBES) techniques are progressively used for modulation of neuronal membrane potentials, which alters cortical excitability. The neuronal activity depends on position of channel locations for electrodes and the amount and direction of injected weak current through the target neurons area. In the present paper hybrid near infrared spectroscopy and electroencephalogram (NIRS-EEG) open access dataset for brain computer interface (BCI) has been used to find the best locations for NIBES. The percentage oxygen saturation has been calculated with the help of provided NIRS experim...
Source: Journal of Medical Systems - March 12, 2020 Category: Information Technology Source Type: research

Improving Health Care Management in Hospitals Through a Productivity Dashboard
AbstractHealth information systems have been developed to help hospital managers steer daily operations, including key performance indicators (KPIs) for monitoring on a time-aggregated basis. Yet, current literature lacks in proposals of productivity dashboards to assist hospitals stakeholders. This research focuses on two related problems: (1) hospital organizations need access to productivity information to improve access to services; and (2) managers need productivity information to optimize resource allocation. This research consists in the development of dashboards to monitor information obtained from a hospital organ...
Source: Journal of Medical Systems - March 12, 2020 Category: Information Technology Source Type: research

Correction to: Urine Sediment Recognition Method Based on Multi-View Deep Residual Learning in Microscopic Image
In the original version of this article, the authors ’ units in the affiliation section are, unfortunately, incorrect. Jining No.1 people’s hospital and Affiliated Hospital of Jining Medical University are two independent units and should not have been combined into one affiliation. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - March 12, 2020 Category: Information Technology Source Type: research

Optimization Model for the Distribution of Fiducial Markers in Liver Intervention
AbstractThe distribution of fiducial markers is one of the main factors affected the accuracy of optical navigation system. However, many studies have been focused on improving the fiducial registration accuracy or the target registration accuracy, but few solutions involve optimization model for the distribution of fiducial markers. In this paper, we propose an optimization model for the distribution of fiducial markers to improve the optical navigation accuracy. The strategy of optimization model is reducing the distribution from three dimensional to two dimensional to obtain the 2D optimal distribution by using optimiza...
Source: Journal of Medical Systems - March 9, 2020 Category: Information Technology Source Type: research

Futility of Cluster Designs at Individual Hospitals to Study Surgical Site Infections and Interventions Involving the Installation of Capital Equipment in Operating Rooms
AbstractAnesthesia workspaces are integral components in the chains of many intraoperative bacterial transmission events resulting in surgical site infections (SSI). Matched cohort designs can be used to compare SSI rates among operating rooms (ORs) with or without capital equipment purchases (e.g., new anesthesia machines). Patients receiving care in intervention ORs (i.e., with installed capital equipment) are matched with similar patients receiving care in ORs lacking the intervention. We evaluate statistical power of an alternative design for clinical trials in which, instead, SSI incidences are compared directly among...
Source: Journal of Medical Systems - March 7, 2020 Category: Information Technology Source Type: research

Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images
AbstractLung cancer is considered one of the deadliest diseases in the world. An early and accurate diagnosis aims to promote the detection and characterization of pulmonary nodules, which is of vital importance to increase the patients ’ survival rates. The mentioned characterization is done through a segmentation process, facing several challenges due to the diversity in nodular shape, size, and texture, as well as the presence of adjacent structures. This paper tackles pulmonary nodule segmentation in computed tomography scans proposing three distinct methodologies. First, a conventional approach which applies the...
Source: Journal of Medical Systems - March 6, 2020 Category: Information Technology Source Type: research

Price Transparency: Empowering Patient Choice and Promoting Provider Competition
AbstractIn light of recent health policy efforts to promote price transparency, this perspective reviews the challenges and benefits of price transparency. These price transparency efforts include the recent executive order and associated rulemaking directing providers to disclose negotiated and out-of-pocket costs for “shoppable” healthcare services. First, we explore the previous efforts of states and health plans targeted at price transparency, reviewing lessons for future implementation. Second, we address the value of price transparency in light of various policy concerns and objections. Finally, we joint ...
Source: Journal of Medical Systems - March 5, 2020 Category: Information Technology Source Type: research

Therapeutic Patient Education with Learning Objects Improves Asthma Control in Mexican Children
AbstractOne of the most common chronic diseases that causes missed school days and workdays is pediatric asthma, producing education, health and economic delays in low and middle-income countries. A patient-centered remarkable therapeutic strategy in the prevention and treatment of chronic diseases is the Therapeutic Patient Education (TPE) which denotes an outstanding difference in the outcomes, from the awareness, to the personal treatment adaption to prevent crises. In this paper, an intervention of TPE with learning objects (LOs) of a pediatric asthma course, designed to train the uncontrolled patient and the caregiver...
Source: Journal of Medical Systems - March 3, 2020 Category: Information Technology Source Type: research

A DCP-based Method for Improving Laparoscopic Images
In this study, we have used a method based on the dark channel prior to remove the haze in video frames of laparoscopic surgeries to provide better quality images. The results have been positively evaluated by specialists using real video frames of laparoscopic surgeries, thus demonstrating that this method can be effective in improving the quality of the images without losing any detail of the original image. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - March 2, 2020 Category: Information Technology Source Type: research

Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text
AbstractElectronic Medical Records (EMRs) are written in an unstructured way, often using natural language. Information Extraction (IE) may be used for acquiring knowledge from such texts, including the automatic recognition of meaningful entities, through models  for Named Entity Recognition (NER). However, while most work on the previous was made for English, this experience aimed at testing different methods in Portuguese text, more precisely, on the domain of Neurology, and take some conclusions. This paper comprised the comparison between Conditional R andom Fields (CRF), bidirectional Long Short-term Memory - Co...
Source: Journal of Medical Systems - February 28, 2020 Category: Information Technology Source Type: research

A Scalable Smartwatch-Based Medication Intake Detection System Using Distributed Machine Learning
AbstractPoor Medication adherence causes significant economic impact resulting in hospital readmission, hospital visits and other healthcare costs. The authors developed a smartwatch application and a cloud based data pipeline for developing a user-friendly medication intake monitoring system that can contribute to improving medication adherence. The developed Android smartwatch application collects activity sensor data using accelerometer and gyroscope. The cloud-based data pipeline includes distributed data storage, distributed database management system and distributed computing frameworks in order to build a machine le...
Source: Journal of Medical Systems - February 28, 2020 Category: Information Technology Source Type: research