scholarly journals DETERMINATION OF EFFICIENCY CRITERIA IN THE DEVELOPMENT OF MEDICAL INFORMATION SYSTEMS

2021 ◽  
Vol 297 (3) ◽  
pp. 116-123
Author(s):  
Volodymyr Palahin ◽  
Olena Palahina ◽  
Valentyn Hahen ◽  
◽  
Keyword(s):  
Medical Information ◽  
Maximum Efficiency ◽  
Medical Systems ◽  
Customer Data ◽  
Coverage Ratio ◽  
Partial Coverage ◽  
Full Coverage ◽  
Element System ◽  
Information Packaging ◽  
Time Required

EHR play an important role in the health care system, so the issue of data efficiency is key in the development of the EHR system. One of the key benefits of EHR is an access to medical information anywhere, anytime. While testing this advantage, it was found that it is performed only privately and does not take into account the dynamics of patients. Therefore, a model for calculating the efficiency of EHR on the basis of full coverage was developed. The study presents a model of the “Element” system, which provides for maximization of the coverage ratio of EHR to provide providers with access to medical records in the form required. The Element system is based on medical information packaging methods such as the dictionary method, the direct matching method and the combined method, and also allows healthcare professionals to be available to users’ medical information in this regard when EHR with customer data arises from EHR medical fund. In this case, if the presented system can be reduced both the time of work with medical documents and the time required for the appointment of drugs, which, accordingly, reduces the time to receive medical care. A set-theoretical model of the information system for improving the quality of medical services is proposed. The study of this model showed the need to measure the effectiveness of medical systems, taking into account their coverage. Medstar, Medkit and Helsi systems, which are part of the eHealth system, were used for the analysis. During the study, such concepts as full and partial coverage of systems were identified, the disadvantages of partial coverage were indicated. It has been found that for maximum efficiency it is necessary to minimize the time required to access medical information, which is achieved through full coverage.

scholarly journals Productivity Improvement by using Time Study Analysis and Modern Trends in Manufacturing Industry

2020 ◽  
Vol 4 (9) ◽  
pp. 75-79
Keyword(s):  
Material Handling ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Maximum Efficiency ◽  
Maximum Output ◽  
Time Study ◽  
Work Study ◽  
Work Process ◽  
Productivity Improvement ◽  
Time Required

The productivity of any organization can be increased by optimizing the work process. Low productivity of workers is one of the reason behind the delay in delivery in manufacturing sector we know that in manufacturing sector labor is prominent thing. Improving the productivity means to make the best possible use of available resources and achieve maximum output. This paper focuses on the productivity of machine as well as labor by using fixtures, updated systematic layout and use of material handling equipment. This paper also covers the, what is productivity, which factors are affecting on productivity and efficiency. Maximum efficiency or productivity is trademark of any successful organization The objective of this paper is to identify the problem in medium scale industry due to time and effort required for any operations is high To tackle and understand a detailed analysis regarding processes using time study and work study. Due to implementation of all the measures the productivity of an organization is increases resulting in reduced effort and time required for operation and all operations done optimally.

Comparison of two fluoroscopic images to ensure efficient scope insertion for biliary intervention in patients with Roux-en-Y hepaticojejunostomy

Endoscopy ◽  
2017 ◽  
Vol 49 (12) ◽  
pp. 1256-1261 ◽  
Author(s):  
Koichiro Tsutsumi ◽  
Hironari Kato ◽  
Ken Hirao ◽  
Sho Mizukawa ◽  
Shinichiro Muro ◽  
...  
Keyword(s):  
Medical Information ◽  
Standard Procedure ◽  
University Hospital ◽  
Information Network ◽  
Imaging Method ◽  
Anastomotic Site ◽  
Biliary Disease ◽  
Endoscopic Retrograde ◽  
Time Required ◽  
Clinical Trials Registry

Abstract Background and study aims No standard procedure for endoscopic retrograde cholangiopancreatography is available for patients with Roux-en-Y hepaticojejunostomy (RYHJ) with side-to-end hepaticojejunostomy. We therefore explored methods of efficient scope insertion at a hepaticojejunostomy site. Patients and methods Patients with suspected biliary disease were prospectively enrolled. Based on two fluoroscopic images obtained on scope insertion into each lumen of a two-pronged Roux-en-Y anastomosis, we selected the lumen in which the distal end of the scope progressed toward the patient’s liver or head. The accuracy of this method for selecting the correct lumen leading to the hepaticojejunostomy site was investigated. Results Of the 33 included patients, successful insertion to the hepaticojejunostomy site was achieved in 32 (97 %), 26 (81 %) of whom had undergone the imaging method. The accuracy of the method was 88 % (23/26). The time required for insertion between the anastomotic site and the hepaticojejunostomy site was shorter when the lumen selection had been correct (13 minutes [7 – 30] (n = 23) vs. 18 minutes [8 – 28] (n = 9); P = 0.95). Conclusion This method based on two fluoroscopic images was useful for achieving efficient scope insertion in patients with RYHJ.Trial registered at University Hospital Medical Information Network Clinical Trials Registry (UMIN000014183).

scholarly journals РОЗРОБЛЕННЯ МОДЕЛІ КЕРУВАННЯ ДОСТУПОМ ДО ПРИВАТНОЇ МЕДИЧНОЇ ІНФОРМАЦІЇ

2018 ◽  
pp. 26-32
Author(s):  
Андрій Сергійович Андрійчук ◽  
Анастасія Андріївна Стрєлкіна
Keyword(s):  
Access Control ◽  
Security Policy ◽  
Medical Information ◽  
Health Care Facilities ◽  
High Tech ◽  
Technical Equipment ◽  
Regulatory Document ◽  
Medical Systems ◽  
Normative Documents ◽  
Advantages And Disadvantages

Modern medicine has grown to an insurmountable level over the past decades. Today, this sector of human life is a high-tech industry, where all areas that can save lives of previously hopeless patients are successfully developing. The technical equipment of health care facilities has been substantially improved, it has become possible to diagnose diseases at an early stage and to quickly restore the working capacity of patients. Nevertheless, with all the advantages and capabilities of modern technology in this area, there are many problems. One of the most significant is the provision of privacy of medical information, which should be considered from both sides, both technical and regulatory. Ensuring the confidentiality of data in medical systems depends on the correct and timely organization of managing access to medical information. The US Health Insurance Portability and Accountability Act (HIPAA) is the most widespread and comprehensive regulatory document for the security of medical data. Regarding the Ukrainian normative documents, they realize the rights of the patient to receive information about their state of health, and medical systems do not have a certificate on the compliance of a comprehensive system of protection of information in accordance with the requirements of normative documents on the technical protection of information. In this article, the authors are considering designing an access control model that solves the problem of providing information security for medical systems and is based on access control based on roles with minimal constraints. The model to be developed should determine the actions and resources that are available to the user, as well as provide individual access to resources. The authors examined the existing models of access control, identified the advantages and disadvantages that formed the basis of their own model. The paper describes the creation of a role-based security policy that defines the information flows permitted by the system, based on the international regulatory document HIPAA. With the help of the developed model, it is possible to execute its storage in different ways and in any case, it is very easy to convert into a relational database

scholarly journals Simultaneous transmission and reception on all elements of an array: binary code excitation

2019 ◽  
Vol 475 (2225) ◽  
pp. 20180831 ◽  
Author(s):  
Julio A. Isla ◽  
Frederic B. Cegla
Keyword(s):  
Binary Code ◽  
Signal To Noise Ratio ◽  
Ultrasound Probe ◽  
Data Throughput ◽  
Element System ◽  
Order Of Magnitude ◽  
Time Required ◽  
Pulse Echo ◽  
First Time ◽  
Non Destructive

Pulse-echo arrays are used in radar, sonar, seismic, medical and non-destructive evaluation. There is a trend to produce arrays with an ever-increasing number of elements. This trend presents two major challenges: (i) often the size of the elements is reduced resulting in a lower signal-to-noise ratio (SNR) and (ii) the time required to record all of the signals that correspond to every transmit–receive path increases. Coded sequences with good autocorrelation properties can increase the SNR while orthogonal sets can be used to simultaneously acquire all of the signals that correspond to every transmit–receive path. However, a central problem of conventional coded sequences is that they cannot achieve good autocorrelation and orthogonality properties simultaneously due to their length being limited by the location of the closest reflectors. In this paper, a solution to this problem is presented by using coded sequences that have receive intervals. The proposed approach can be more than one order of magnitude faster than conventional methods. In addition, binary excitation and quantization can be employed, which reduces the data throughput by roughly an order of magnitude and allows for higher sampling rates. While this concept is generally applicable to any field, a 16-element system was built to experimentally demonstrate this principle for the first time using a conventional medical ultrasound probe.

Case study

Kybernetes ◽  
2016 ◽  
Vol 45 (4) ◽  
pp. 637-649 ◽  
Author(s):  
Tsung-Han Yang ◽  
Cheng-Yuan Ku ◽  
Man-Nung Liu
Keyword(s):  
Delphi Method ◽  
Medical Information ◽  
Healthcare Providers ◽  
Medical Information System ◽  
Assessment Procedure ◽  
Practical Case ◽  
Negative Consequences ◽  
Medical Systems ◽  
Self Assessment ◽  
Content Type

Purpose – In recent years, many development projects of the medical systems encounter difficulties and eventually fail. Failure is often due to very complicated and changeable medical procedures and the inconsistent understanding between system stakeholders, especially the healthcare providers, and information technology staff. Many research results also indicate that poor communication easily results in negative consequences during the implementation of the medical information system. To effectively overcome this obstacle, the purpose of this paper is to propose an enhanced Delphi method to assist in reaching consensus during the software development with some additional steps. Design/methodology/approach – As an alternative to the traditional way to elicit pertinent feedback from respondents, the enhanced Delphi method stresses the systematic, flexible, and cyclic stages to construct a questionnaire with viewpoints from different types of panelists and a self-assessment procedure as a validating step to measure the improvements in the system implementation. Findings – The better communication between the members of project team does increase the comprehensive assessment of a project. Originality/value – Based on a practical case, the enhanced Delphi method really demonstrates good performance and effectiveness.

scholarly journals An Efficient Patient Information Transmission and Receiving Scheme using Cloud H-IoT System

2019 ◽  
Vol 8 (2S6) ◽  
pp. 180-184
Keyword(s):  
Patient Information ◽  
Medical Staff ◽  
Medical Information ◽  
Eating Habits ◽  
Medical Services ◽  
Medical Systems ◽  
Health Care Environment ◽  
Disease Information ◽  
Proposed Model ◽  
Iot Devices

The medical environment, combined with IT technology, is changing the paradigm for medical services from treatment to prevention. In particular infrastructure technologies such as big data and internet of things are being used in conjunction with the cloud as ICT convergence digital healthcare technology is applied to hospital medical systems. In particular, as medical services are used with IT devices, the quality of medical services is increasingly improving to make them easier for users to access. Medical institutions seeking to incorporate IoT services into cloud health care environment services are trying to reduce hospital operating costs and improve service quality, but have not yet been fully supported. In this paper, a patient information collection model from H-IoT(Hospital IoT)_system, which has established a cloud environment, is proposed. The proposed model prevents third parties from illegally eavesdropping and interfering with patients' biometric information through IoT devices attached to the patient's body at hospitals in cloud environments that have established H-IoT systems. In the proposed model, patients are now eligible for medical service by installing an IoT device, and medical staff can analyze patient disease information so that patients who visit the hospital can collect and receive treatment for diseases related to their eating habits. The disease information analyzed in the proposed model minimizes hospital work to facilitate the treatment and management of prescriptions according to the degree of disease in patients. On average, the time required for medical staff to collect and analyze IoT patient information was 7.8 percent lower than previous techniques. The results of 11.1% improvement in server efficiency for processing IoT patient information were obtained. The IoT medical information transmitted from IoT devices was 16.3% lower than the traditional technology, using diffusion band technology

Porcelain-full coverage and partial coverage restorations

2015 ◽  
pp. 158-177
Author(s):  
Vincent Celenza ◽  
Howard N. Livers
Keyword(s):  
Partial Coverage ◽  
Full Coverage
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