scholarly journals РЕФАКТОРІНГ ПРОГРАМНОГО КОДУ ДІАЛОГОВОГО КОМПОНЕНТУ ПЛАТФОРМИ СИСТЕМИ ПІДТРИМКИ ПРИЙНЯТТЯ РІШЕННЯ ДЛЯ МЕДИЧНОЇ ІНФОРМАЦІЙНОЇ СИСТЕМИ З ВІДКРИТИМ КОДОМ OpenMRS

Author(s):  
A. V. Semenets ◽  
V. P. Martsenyuk

The importance of Medical Information Systems (MIS) for medical practice is emphasized. The wide usage of the Electronic Medical Records (EMR) software is displayed. The importance and alternative approaches to implementation of the MIS in the Ukraine healthcare system are discussed. The benefits of the open-source MIS usage are shown. Effectiveness of the Clinical Decision Support System (CDSS) application in the medical decision making process is emphasized.<p>The open-source MIS OpenMRS developer tools and software API are reviewed. The results of code refactoring of the dialog subsystem of the CDSS platform which is made as module for the open-source MIS OpenMRS are presented. The structure of information model of database of the CDSS dialog subsystem was updated according with MIS OpenMRS requirements. The Model-View-Controller (MVC) based approach to the CDSS dialog subsystem architecture was re-implemented with Java programming language using Spring and Hibernate frameworks. The MIS OpenMRS Encounter portlet form for the CDSS dialog subsystem integration is developed as an extension. The administrative module of the CDSS platform is recreated. The data exchanging formats and methods for interaction of OpenMRS CDSS dialog subsystem module and DecisionTree GAE service are re-implemented with help of AJAX technology via jQuery library</p>

Author(s):  
A. V. Semenets ◽  
V. P. Martsenyuk

<h3>Introduction</h3><p class="1415">An importance of Medical Information Systems (MIS) in medical practice and education is displayed. The wide usage of the Electronic Medical Records (EMR) software is signed.</p><h3>Current state. The open source EMR-systems usage</h3><p class="1415">The importance and alternative approaches to the implementation of the MIS in the Ukraine healthcare system are discussed. The situation on the MIS development in Ukraine is presented. The benefits of the open-source MIS usage are shown.</p><p class="1415">Effectiveness of the Clinical Decision Support Systems (CDSS) application in the medical decision making process are introduced. The CDSS capabilities in diagnostic of the pregnancy pathologies are considered.</p><h3>The CDSS platform development implementation</h3><p class="1415">The step-by-step results of the CDSS platform development as the plugin for the open-source MIS OpenEMR are presented.</p><p class="1415">The open-source MIS OpenEMR developer tools and software API are reviewed.</p><p class="1415">The information model of the CDSS database was proposed and developed. The Model-View-Controller (MVC) based approach to the CDSS architecture is proposed. The CDSS dialog subsystem implementation according to the MIS OpenEMR programming API is developed. The administrative module of the CDSS platform based on the Yii2 php-framework is created.</p><p class="1415">An approach to the decision making process which is based on the decision tree algorithm usage is proposed. An implementation of the given above approach as separate web-service based won the Google App Engine (GAE) capabilities is presented. The data exchanging formats and methods which OpenEMR CDSS module and DecissionTree GAE service interaction establish are developed.</p>


Author(s):  
Himanshi Vashisht ◽  
Sanjay Bharadwaj ◽  
Sushma Sharma

Code refactoring is a “Process of restructuring an existing source code.”. It also helps in improving the internal structure of the code without really affecting its external behaviour”. It changes a source code in such a way that it does not alter the external behaviour yet still it improves its internal structure. It is a way to clean up code that minimizes the chances of introducing bugs. Refactoring is a change made to the internal structure of a software component to make it easier to understand and cheaper to modify, without changing the observable behaviour of that software component. Bad smells indicate that there is something wrong in the code that have to refactor. There are different tools that are available to identify and emove these bad smells. A software has two types of quality attributes- Internal and external. In this paper we will study the effect of clone refactoring on software quality attributes.


2020 ◽  
Vol 25 (1) ◽  
pp. 45-53
Author(s):  
L.B. Strogonova ◽  
◽  
Yu.A. Vasin ◽  
R.A. Gardunio ◽  
A.N. Knyazev ◽  
...  

Since April 1961, all manned space flights have been accompanied by medical control ensuring flight safety. Medical control in space flight has a technological and medical methodology that allows, at a distance from medical specialists, to make an adequate medical decision for the current situation. This work would be impossible if there were no measures taken to unify and standardize equipment and techniques. Telemedicine technologies developed on the basis of flight medical control. The origin of the word telemedicine comes from the expression «telemetric medical information», adopted in space technology. The issues of mutual development and mutual enrichment, standardization of methods and equipment of two areas of medicine, medical control in extreme situations and general telemedicine are considered in this article.


2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S31-S31
Author(s):  
Sena Veazey ◽  
Maria SerioMelvin ◽  
David E Luellen ◽  
Angela Samosorn ◽  
Alexandria Helms ◽  
...  

Abstract Introduction In disaster or mass casualty situations, access to remote burn care experts, communication, or resources may be limited. Furthermore, burn injuries are complex and require substantial training and knowledge beyond basic clinical care. Development and use of decision support (DS) technologies may provide a solution for addressing this need. Devices capable of delivering burn management recommendations can enhance the provider’s ability to make decisions and perform interventions in complex care settings. When coupled with merging augmented reality (AR) technologies these tools may provide additional capabilities to enhance medical decision-making, visualization, and workflow when managing burns. For this project, we developed a novel AR-based application with enhanced integrated clinical practice guidelines (CPGs) to manage large burn injuries for use in different environments, such as disasters. Methods We identified an AR system that met our requirements to include portability, infrared camera, gesture and voice control, hands-free control, head-mounted display, and customized application development abilities. Our goal was to adapt burn CPGs to make use of AR concepts as part of an AR-enabled burn clinical decision support system supporting four sub-applications to assist users with specific interventional tasks relevant to burn care. We integrated relevant CPGs and a media library with photos and videos as additional references. Results We successfully developed a clinical decision support tool that integrates burn CPGs with enhanced capabilities utilizing AR technology. The main interface allows input of patient demographics and injuries with step-by-step guidelines that follow typical burn management care and workflow. There are four sub-applications to assist with these tasks, which include: 1) semi-automated burn wound mapping to calculate total body surface area; 2) hourly burn fluid titration and recommendations for resuscitation; 3) medication calculator for accurate dosing in preparation for procedures and 4) escharotomy instructor with holographic overlays. Conclusions We developed a novel AR-based clinical decision support tool for management of burn injuries. Development included adaptation of CPGs into a format to guide the user through burn management using AR concepts. The application will be tested in a prospective research study to determine the effectiveness, timeliness, and performance of subjects using this AR-software compared to standard of care. We fully expect that the tool will reduce cognitive workload and errors, ensuring safety and proper adherence to guidelines.


2021 ◽  
Vol 66 (Special Issue) ◽  
pp. 38-38
Author(s):  
Sorana D. Bolboacă ◽  
◽  
Adriana Elena Bulboacă ◽  
◽  
◽  
...  

"The Clinical Decision Support (CDS), a form of artificial intelligence (AI), consider physician expertise and cognitive function along with patient’s data as the input and case-specific medical decision as an output. The improvements in physician’s performances when using a CDS ranges from 13% to 68%. The AI applications are of large interest nowadays, and a lot of effort is also put in the development of IT applications in healthcare. Medical decision support systems for non-medical staff users (MDSS-NMSF) as phone applications are nowadays available on the market. A MDSS-NMSF app is generally not accompanied by a scientific evaluation of the performances, even if they are freely available or not. Two clinical scenarios were created, and Doctor31 retrieved the diagnosis decisions. First scenario: man, 29 years old, and three symptoms: dysphagia, weight loss (normal body mass index), and tiredness. Second scenario: women, 47 years old with L5-S1 disk herniation, abnormal anti-TPO antibodies, lower back pain (burning sensations), constipation, and tiredness. The outcome possible effects and implications, as well as vulnerabilities induced on the used, are highlighted and discussed. "


2021 ◽  
Vol 15 (2) ◽  
pp. 181-195
Author(s):  
Hossain Shahriar ◽  
Hisham M. Haddad ◽  
Maryam Farhadi

Electronic health record (EHR) applications are digital versions of paper-based patient health information. EHR applications are increasingly being adopted in many countries. They have resulted in improved quality in healthcare, convenient access to histories of patient medication and clinic visits, easier follow up of patient treatment plans, and precise medical decision-making process. The goal of this paper is to identify HIPAA technical requirements, evaluate two open source EHR applications (OpenEMR and OpenClinic) for security vulnerabilities using two open-source scanner tools (RIPS and PHP VulnHunter), and map the identified vulnerabilities to HIPAA technical requirements.


BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e020658 ◽  
Author(s):  
Ni Gong ◽  
Yinhua Zhou ◽  
Yu Cheng ◽  
Xiaoqiong Chen ◽  
Xuting Li ◽  
...  

ObjectiveThis study aimed to investigate the practice of informed consent in China from the perspective of patients.DesignA qualitative study using in-depth interviews with in-hospital patients focusing on personal experience with informed consent.SettingGuangdong Province, China.Participants71 in-hospital patients in rehabilitation after surgical operations were included.ResultsMedical information is not actively conveyed by doctors nor effectively received by patients. Without complete and understandable information, patients are unable to make an autonomous clinical decision but must sign an informed consent form following the doctor’s medical arrangement. Three barriers to accessing medical information by patients were identified: (1) medical information received by patients was insufficient to support their decision-making, (2) patients lacked medical knowledge to understand the perceptions of doctors and (3) patient–doctor interactions were insufficient in clinical settings.ConclusionsInformed consent is implemented as an administrative procedure at the hospital level in China. However, it has not been embedded in doctors’ clinical practices because, from the perspective of patients, doctors do not fulfil the obligation of medical information provision. As a result, the informed part of informed consent was neglected by individual doctors in China. Reforming medical education, monitoring the process of informed consent in clinical settings and redesigning medical institutional arrangements are pathways to restoring the practice of informed consent and patient-centred models in China.


2017 ◽  
Vol 05 (06) ◽  
pp. E477-E483 ◽  
Author(s):  
Anastasios Koulaouzidis ◽  
Dimitris Iakovidis ◽  
Diana Yung ◽  
Emanuele Rondonotti ◽  
Uri Kopylov ◽  
...  

Abstract Background and aims Capsule endoscopy (CE) has revolutionized small-bowel (SB) investigation. Computational methods can enhance diagnostic yield (DY); however, incorporating machine learning algorithms (MLAs) into CE reading is difficult as large amounts of image annotations are required for training. Current databases lack graphic annotations of pathologies and cannot be used. A novel database, KID, aims to provide a reference for research and development of medical decision support systems (MDSS) for CE. Methods Open-source software was used for the KID database. Clinicians contribute anonymized, annotated CE images and videos. Graphic annotations are supported by an open-access annotation tool (Ratsnake). We detail an experiment based on the KID database, examining differences in SB lesion measurement between human readers and a MLA. The Jaccard Index (JI) was used to evaluate similarity between annotations by the MLA and human readers. Results The MLA performed best in measuring lymphangiectasias with a JI of 81 ± 6 %. The other lesion types were: angioectasias (JI 64 ± 11 %), aphthae (JI 64 ± 8 %), chylous cysts (JI 70 ± 14 %), polypoid lesions (JI 75 ± 21 %), and ulcers (JI 56 ± 9 %). Conclusion MLA can perform as well as human readers in the measurement of SB angioectasias in white light (WL). Automated lesion measurement is therefore feasible. KID is currently the only open-source CE database developed specifically to aid development of MDSS. Our experiment demonstrates this potential.


Author(s):  
Hugo Peixoto ◽  
Andréa Domingues ◽  
Bruno Fernandes

Information should be accessible everywhere and at any time to help with clinical decision and be available for clinical studies through data computationally interpretable. This work is based on a set of studies performed at Centro Hospitalar do Tâmega e Sousa. An Electronic Semantic Health Record was formalized and implemented which was delivered through a platform named Agency for the Integration, Diffusion and Archive, which is supported by intelligent agents. Furthermore, to strengthen the relation between the patient and the hospital, an appointment alert system was developed, which allowed the reduction of non-programmed misses and a decrease of costs. Finally to promote user's confidence on Information Systems, an open-source tool was developed that enables the scheduling of preventive actions. These tools allowed continuous improvement of systems and are currently well accepted inside the healthcare unit, proving in real clinical situation the effectiveness and usability of the model.


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