scholarly journals Integration Environment Software Module for Accumulation and Exchange of Digital Medical Data

2021 ◽  
pp. 88-99
Author(s):  
O.S. Kovalenko ◽  
◽  
L.M. Kozak ◽  
E.V. Gorshkov ◽  
M. Najafian Tumajani ◽  
...  

Introduction. The development of effective digital medicine tools is an intensive and complex process that requires the interdisciplinary efforts of a wide range of experts, from scientists and engineers to ethics experts and lawyers. Digital medicine products have great potential for improving medical measurement, diagnosis and treatment. One of the main challenges for the healthcare sector is to address the issue of fast, convenient and secure exchange of information about patients’ health. Service-oriented architectures of such products may accomplish many of the challenges facing healthcare systems. The purpose of the paper is to develop an information and software module ExchangeDMD to ensure the accumulation, storage and exchange of diagnostic medical data in accordance with modern medical information standards to maintain the interoperability function as one of the leading principles of digital medicine. Results. A special adaptive architecture of digital medicine infrastructure has been developed, which enables an integrated solution of data exchange between participants of providing medical services, which is carried out with the help of web services. The specifics of different types of medical information are analyzed and taken into account in accordance with the access regime for its processing. The module structure has been developed and implemented in software, which has three main levels: central virtual storage (virtual data center to implement certain functions), remote administration segment (technical support and administration network) and user segment (mobile devices and user-patient applications). Conclusions. The ExchangeDMD information and software module is designed to ensure the accumulation of patient data, integration between the various units within the system, as well as to ensure the management of this data by health care personnel. The ExchangeDMD module is built using the international standard HL7 CDA, which enables formalizing electronic medical records using RIM (information model links) to attract the necessary directories and classifiers when creating medical records and documents.

Author(s):  
Mbarek Marwan ◽  
Ali Karti ◽  
Hassan Ouahmane

Information Technology (IT) services have become an inherent component in almost all sectors. Similarly, the health sector has been recently integrating IT to meet the growing demand for medical data exchange and storage. Currently, cloud has become a real hosting alternative for traditional on-permise software. In this model, not only do health organizations have access to a wide range of services but most importantly they are charged based on the usage of these cloud applications. However, especially in the healthcare domain, cloud computing deems challenging as to the sensitivity of health data. This work aims at improving access to medical data and securely sharing them across healthcare professionals, allowing real-time collaboration. From these perspectives, they propose a hybrid cryptosystem based on AES and Paillier to prevent the disclosure of confidential data, as well as computing encrypted data. Unlike most other solutions, the proposed framework adopts a proxy-based architecture to tackle some issues regarding privacy concerns and access control. Subsequently, this system typically guarantees that only authorized users can view or use specific resources in a computing environment. To this aim, they use eXtensible Access Control Markup Language (XACML) standard to properly design and manage access control policies. In this study, they opt for the (Abbreviated Language for Authorization) ALFA tool to easily formulate XACML policies and define complex rules. The simulation results show that the proposal offers simple and efficient mechanisms for the secure use of cloud services within the healthcare domain. Consequently, this framework is an appropriate method to support collaboration among all entities involved in medical information exchange.


1970 ◽  
Vol 09 (03) ◽  
pp. 149-160 ◽  
Author(s):  
E. Van Brunt ◽  
L. S. Davis ◽  
J. F. Terdiman ◽  
S. Singer ◽  
E. Besag ◽  
...  

A pilot medical information system is being implemented and currently is providing services for limited categories of patient data. In one year, physicians’ diagnoses for 500,000 office visits, 300,000 drug prescriptions for outpatients, one million clinical laboratory tests, and 60,000 multiphasic screening examinations are being stored in and retrieved from integrated, direct access, patient computer medical records.This medical information system is a part of a long-term research and development program. Its major objective is the development of a multifacility computer-based system which will support eventually the medical data requirements of a population of one million persons and one thousand physicians. The strategy employed provides for modular development. The central system, the computer-stored medical records which are therein maintained, and a satellite pilot medical data system in one medical facility are described.


2020 ◽  
Vol 1 (1) ◽  
pp. 72-86
Author(s):  
V.I. Yudin ◽  
◽  
O.V. Shirokova ◽  

Background. Modern digital technologies use can solve many problems of Russian healthcare system. The digital medicine development should be accompanied by the informatization of all participants of the process of providing medical services. Analysis and assessment of the changes taking place in society and in the health care system itself in digitalization terms are necessary for making effective management decisions aimed at improving the population health. Purpose. The purpose of this study is to analyze the digital medicine state and prospects for the development. Materials and methods. The analysis of foreign and domestic literature on digital medicine was used to identify current trends in this area and the variety of technologies used. The data analysis from public opinion polls gave an idea of the main problems of Russian healthcare. The study of Internet resources, like information and discussion platforms for medical professionals, as well as survey data, made it possible to identify the main aspects of the informatization process in the healthcare system. Results and discussion. There were highlighted: the main advantages of information technologies use in the healthcare sector, the priority areas for the digital medicine short term development, the level of understanding of telemedicine among healthcare workers, the main areas of discussion regarding digital medical technologies, as well as important problems, risks and trends in this area. Conclusion. The authors identified eight promising areas for the digital medicine short term development. The study of Internet resources has shown that medical social networks are an important channel for healthcare informatization, including professional adaptation, especially of young specialists, to work with new technologies. The Internet also allows physicians to expand their professional capabilities with the help of software products for laboratory research, diagnosis and treatment. All participants of the medical and related industries are actively entering the digitalization process, striving to create a unified system for electronic data exchange. The main problem that slows down the development of digital medicine in Russia and which needs to be addressed at the state level is ensuring data security. A key measure to solve this problem is information about digital health opportunities through social media. At the content creation level there must be built trust to this channel.


2020 ◽  
pp. 70-78
Author(s):  
O.S. Kovalenko ◽  
◽  
L.M. Kozak ◽  
O.O. Romanyuk ◽  
M. Najafian Tumanjani ◽  
...  

Introduction. To ensure the effective delivery of health services, it is important to provide accessible mechanisms for interaction between different levels of health care and patients. mHealth, eHealth and other technological developments, such as telemedicine, constitute a new digital health paradigm. The purpose of the paper is to develop the formalized components of the digital medicine integrating environment to ensure effective interaction between patients, family physicians and health care workers at various levels. Results. The general structure of information flows of the integrative environment of digital medicine is described and the formalized representation of health care business processes are developed.An analysis of the characteristics of the main actors actively involved in medical care was provided, and the access level to medical information of each participant, which is an obligatory condition, in particular in the case of mobile medicine, was determined. To ensure the storage of this information, an infologicalmodel of the database was developed, indicating the internal links between the blocks of the database. Model elements are defined for each block: classes, attributes and operations (using UML). Conclusions. Formalized representation of eHealth business processes using mHealth reflects the interaction of participants in these processes (patient and different groups of health professionals) and information flows that arise in this interaction. To ensure reliable mechanisms for the digital medical data exchange, access levels were prescribed for each participant included in the eHealth system.


2017 ◽  
Vol 30 (1) ◽  
pp. 17-25 ◽  
Author(s):  
Abdullah Awaysheh ◽  
Jeffrey Wilcke ◽  
François Elvinger ◽  
Loren Rees ◽  
Weiguo Fan ◽  
...  

Much effort has been invested in standardizing medical terminology for representation of medical knowledge, storage in electronic medical records, retrieval, reuse for evidence-based decision making, and for efficient messaging between users. We only focus on those efforts related to the representation of clinical medical knowledge required for capturing diagnoses and findings from a wide range of general to specialty clinical perspectives (e.g., internists to pathologists). Standardized medical terminology and the usage of structured reporting have been shown to improve the usage of medical information in secondary activities, such as research, public health, and case studies. The impact of standardization and structured reporting is not limited to secondary activities; standardization has been shown to have a direct impact on patient healthcare.


2021 ◽  
Vol 1 (1) ◽  
pp. 1-8
Author(s):  
Almas Ummi Fatharina ◽  
Sri Sugiarsi ◽  
Trismianto Asmo Sutrisno

Abstract Release of medical information must be subject to applicable procedures and must be with the patient's consent. Patients must make a stamped written statement that has authorized a third party to request medical data from a doctor. The purpose of this study is to determine the policy of releasing medical information and the flow of procedures for releasing medical information to the insurer. The research method in this study is to use a literature review design, namely research that examines research articles on the release of medical information to insurance parties by comparing, summarizing, and drawing conclusions. The search strategy used keywords and operator bundles used in this study, namely "medical records" or "information release" or "insurers". The result of the research is that a hospital is in the process of releasing medical information using policies in the form of SOPs, cooperation agreements with insurance parties, and orally. In addition, there are hospitals that have different procedures for releasing medical information because they do not only serve one insurance party, but there are several insurance parties that are served such as BPJS, Jasa Raharja, and Askes. However, in the process of releasing medical information, there are hospitals that are not yet in accordance with the flow of medical information release procedures that have been determined by the Hospital. Therefore, the hospital conducts outreach on the flow of procedures for releasing medical information so that the officer in charge has a better understanding of the release of medical information. Keyword : medical records, information release, insurers Abstrak Pelepasan informasi medis harus mengacu pada prosedur yang berlaku dan harus dengan persetujuan pasien. Pasien harus membuat pernyataan tertulis bermaterai bahwa telah memberi kuasa kepada pihak ketiga untuk meminta data medis dari dokter. Tujuan penelitian ini adalah untuk mengetahui kebijakan pelepasan informasi medis dan alur prosedur pelepasan informasi medis kepada pihak asuransi. Metode penelitian dalam penelitian ini adalah menggunakan desain literature review yaitu penelitian yang mengkaji artikel-artikel penelitian tentang Pelepasan Informasi Medis Kepada Pihak Asuransi dengan cara membandingkan, meringkas, dan mengambil kesimpulan. Strategi pencarian menggunakan keyword dan booelan operator yang digunakan dalam penelitian ini yaitu “rekam medis” or “pelepasan informasi” or “pihak asuransi”. Hasil penelitian terdapat Rumah Sakit yang dalam proses pelepasan informasi medis menggunakan kebijakan dalam bentuk SOP, perjanjian kerjasama dengan pihak asuransi, dan secara lisan. Selain itu terdapat Rumah Sakit memiliki alur prosedur pelepasan informasi medis yang berbeda-beda karena tidak hanya melayani satu pihak asuransi saja, tetapi ada beberapa pihak asuransi yang dilayani seperti BPJS, Jasa Raharja, dan Askes. Akan tetapi dalam proses pelepasan informasi medis terdapat Rumah Sakit yang belum sesuai dengan alur prosedur pelepasan informasi medis yang telah ditentukan oleh Rumah Sakit. Oleh karena itu pihak Rumah Sakit melakukan sosialisasi mengenai alur prosedur pelepasan informasi medis agar petugas yang bertanggungjawab lebih paham mengenai pelepasan informasi medis.


1975 ◽  
Vol 14 (04) ◽  
pp. 199-201
Author(s):  
D. Lahaye ◽  
D. Roosels ◽  
J. Viaene

The drafting of a medical computer file for pneumoconiosis at the Fund of Occupational Diseases was essentially based on an intuitive choice of medical information processing from a large experience. For statistical purposes, however, a more scientific selection of stored information is needed. Therefore, we checked out the medical data on 25,830 complete medical records. The frequency of all answer possib-ilities was tested question by question. A minority of questions had to be reexamined because the yled to insufficient answers. It will be possible in the future to improve the storage of medical information with this work method. A further investigation in which the results achieved by several physicians will be compared opens the possibility of rating the impact of subjective judgments in medical examinations.


1967 ◽  
Vol 06 (01) ◽  
pp. 1-6
Author(s):  
P. Hall ◽  
Ch. Mellner ◽  
T. Danielsson

A system for medical information has been developed. The system is a general and flexible one which without reprogramming or new programs can accept any alphabetic and/or numeric information. Coded concepts and natural language can be read, stored, decoded and written out. Medical records or parts of records (diagnosis, operations, therapy, laboratory tests, symptoms etc.) can be retrieved and selected. The system can process simple statistics but even make linear pattern recognition analysis.The system described has been used for in-patients, outpatients and individuals in health examinations.The use of computers in hospitals, health examinations or health care systems is a problem of storing information in a general and flexible form. This problem has been solved, and now it is possible to add new routines like booking and follow-up-systems.


Author(s):  
Naresh Sammeta ◽  
Latha Parthiban

Recent healthcare systems are defined as highly complex and expensive. But it can be decreased with enhanced electronic health records (EHR) management, using blockchain technology. The healthcare sector in today’s world needs to address two major issues, namely data ownership and data security. Therefore, blockchain technology is employed to access and distribute the EHRs. With this motivation, this paper presents novel data ownership and secure medical data transmission model using optimal multiple key-based homomorphic encryption (MHE) with Hyperledger blockchain (OMHE-HBC). The presented OMHE-HBC model enables the patients to access their own data, provide permission to hospital authorities, revoke permission from hospital authorities, and permit emergency contacts. The proposed model involves the MHE technique to securely transmit the data to the cloud and prevent unauthorized access to it. Besides, the optimal key generation process in the MHE technique takes place using a hosted cuckoo optimization (HCO) algorithm. In addition, the proposed model enables sharing of EHRs by the use of multi-channel HBC, which makes use of one blockchain to save patient visits and another one for the medical institutions in recoding links that point to EHRs stored in external systems. A complete set of experiments were carried out in order to validate the performance of the suggested model, and the results were analyzed under many aspects. A comprehensive comparison of results analysis reveals that the suggested model outperforms the other techniques.


2022 ◽  
Vol 54 (7) ◽  
pp. 1-38
Author(s):  
Lynda Tamine ◽  
Lorraine Goeuriot

The explosive growth and widespread accessibility of medical information on the Internet have led to a surge of research activity in a wide range of scientific communities including health informatics and information retrieval (IR). One of the common concerns of this research, across these disciplines, is how to design either clinical decision support systems or medical search engines capable of providing adequate support for both novices (e.g., patients and their next-of-kin) and experts (e.g., physicians, clinicians) tackling complex tasks (e.g., search for diagnosis, search for a treatment). However, despite the significant multi-disciplinary research advances, current medical search systems exhibit low levels of performance. This survey provides an overview of the state of the art in the disciplines of IR and health informatics, and bridging these disciplines shows how semantic search techniques can facilitate medical IR. First,we will give a broad picture of semantic search and medical IR and then highlight the major scientific challenges. Second, focusing on the semantic gap challenge, we will discuss representative state-of-the-art work related to feature-based as well as semantic-based representation and matching models that support medical search systems. In addition to seminal works, we will present recent works that rely on research advancements in deep learning. Third, we make a thorough cross-model analysis and provide some findings and lessons learned. Finally, we discuss some open issues and possible promising directions for future research trends.


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