The Adoption Level of Electronic Medical Records in Hebron Hospitals based on the Electronic Medical Record Adoption Model (EMRAM)

Today, Information Technology (IT) is considered as one of the major national development principles in each country which is applied in different fields. One of the most important fields in which IT is applied is health care and hospitals are similarly considered as most substantial organizations that use IT vastly. Although, different benchmarks and frameworks were developed to assess different aspects of Hospital Information Systems (HIS), still there was no reference model to benchmark HIS in the world until very recently. Eventually, Electronic Medical Record Adoption Model (EMRAM) which is globally a well-known model to benchmark the rate of HIS utilization in the hospitals, were emerged. Nevertheless, this model has not been introduced in majority of developing and even some developed countries in the world yet. In this study, EMRAM is applied to benchmark both governmental and private hospitals in Iran. This research is based on an applied descriptive method to assess five governmental and three private hospitals in Isfahan in 2015. This province is one of the most important provinces of Iran. The results reveal that HIS is not at the center of concern in these hospitals and are in the first and second maturity stages in accordance with EMRAM. Therefore, these types of hospitals are far away from desirable conditions and stages. Yet, the immaturity of HISs in private hospitals is more observable. This situation including the pressure of different beneficiaries such as insurance companies, has forced hospital managers to develop and enhance their HISs, especially in governmental hospitals.

Download Full-text

Improvement of patient safety through implementation of electronic medical records

Medical Technologies Journal ◽

10.26415/2572-004x-vol1iss4p111-112 ◽

2017 ◽

Vol 1 (4) ◽

pp. 111-112

Author(s):

Elahe Gozali ◽

Marjan Ghazisaiedi ◽

Malihe Sadeghi ◽

Reza Safdari

Keyword(s):

Patient Safety ◽

Medical Record ◽

Electronic Medical Record ◽

Electronic Medical Records ◽

Medical Records ◽

Access To Health Care ◽

Clinical Care ◽

Drug Management ◽

Bar Code

Introduction: Today, with the complexity of the process of conducting activities, the increase in diversity and the number of hospital services, and the increase in the expectations of clients - consistent with the fast technological advances - most of the hospitals in Iran have turned to mechanized systems to organize their daily activities and to register the patients' information and the care provided. One of these technologies is electronic medical records, which is known as a valuable system to evaluate patients' information in hospitals. The purpose of this paper was to examine the advantages of running electronic medical records in patient safety. Methods: This study is a review paper based on a structured review of papers published in the Google Scholar, SID, Magiran, Pubmed, and Science Direct databases (from 2007 to 2015) and the books on the benefits of implementing electronic medical records in patient safety and the related keywords. Results: Clinical information systems can have a significant effect on the quality of the outputs and patient safety. Various studies have indicated that the physicians with access to clinical guidelines and features such as computer reminders, doctors who did not have these features, presented more appropriate preventive care. Studies show that electronic medical records play a crucial role in improving the quality of patient health and safety services. Moreover, electronic medical record system is usually in connection with other technological tools: electronic drug management records, electronic record of time and date of drug management are usually associated with bar code technology. Among the benefits of this system is the possibility to record clinical care by the treatment team, which would be especially beneficial for patient's bedside record. If the treatment personnel forgets to ask the patient a particular question, system reminds him/her. Furthermore, electronic medical record is able to remind the nurses of the patient's allergic reactions and medical history without the need for the patient to remind, which improves patient safety. Conclusion: Implementation of electronic medical records boosts up the quality of health services, patient safety, people's access to health care services, and the speed of patients treatment, leading to lower healthcare costs. Thus, considering the benefits mentioned and some other benefits of this kind, one can use this technology in clinical care provided to patients to come up with a safe and effective clinical care.

Download Full-text

Diabetes Risk Data Mining Method Based on Electronic Medical Record Analysis

Journal of Healthcare Engineering ◽

10.1155/2021/6678526 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Yang Liu ◽

Zhaoxiang Yu ◽

Yunlong Yang

Keyword(s):

Data Mining ◽

Medical Record ◽

Electronic Medical Record ◽

Electronic Medical Records ◽

Medical Records ◽

Diabetes Risk ◽

Mining Method ◽

Training Set ◽

Medical Field ◽

Data Mining Method

In today’s society, the development of information technology is very rapid, and the transmission and sharing of information has become a development trend. The results of data analysis and research are gradually applied to various fields of social development, structured analysis, and research. Data mining of electronic medical records in the medical field is gradually valued by researchers and has become a major work in the medical field. In the course of clinical treatment, electronic medical records are edited, including all personal health and treatment information. This paper mainly introduces the research of diabetes risk data mining method based on electronic medical record analysis and intends to provide some ideas and directions for the research of diabetes risk data mining method. This paper proposes a research strategy of diabetes risk data mining method based on electronic medical record analysis, including data mining and classification rule mining based on electronic medical record analysis, which are used in the research experiment of diabetes risk data mining method based on electronic medical record analysis. The experimental results in this paper show that the average prediction accuracy of the decision tree is 91.21%, and the results of the training set and the test set are similar, indicating that there is no overfitting of the training set.

Download Full-text

ELECTRONIC MEDICAL RECORD AT RSIGM SULTAN AGUNG SEMARANG REVIEWED FROM THE COMPLETENESS AND THE SAFETY FORMAT SYSTEM

Jurnal Medali ◽

10.30659/medali.v3i1.16892 ◽

2021 ◽

Vol 3 (1) ◽

pp. 20

Author(s):

Adam Reza Pahlevi ◽

Erdianto Setya Wardhana ◽

Erna Dwi Agustin

Keyword(s):

Medical Record ◽

Electronic Medical Record ◽

Electronic Medical Records ◽

Medical Records ◽

Inclusion Criteria ◽

Health Ministry ◽

Cross Sectional ◽

Electronic Signature ◽

Informed Consent Form ◽

The Subject

Background: An electronic medical record is a medical system that can be used to store information about the track of a patient`s health. The completeness format of Electronic Medical Record used the format of Electronic Medical Record Guidance from Health Ministry Year 2015. The safety of electronic medical records has 6 aspects as follows privacy, integrity, authenticity, availability, access, control, non-rapadiatum.Method: This research aimed to know the description of the completeness format and the safety of The Electronic Medical Record at RSIGM Sultan Agung Semarang. This research used descriptive observational using a cross-sectional method. The subject of this study was Electronic Medical Records in March 2020. The samples were selected according to the inclusion criteria obtained from RSIGM Sultan Agung SemarangResult: The result of this research was used to know the description of the completeness of Electronic Medical Record Format and the safety of Electronic Medical Record at RSIGM Sultan Agung Semarang.Conclusion: The conclusion of this research showed Electronic Medical Record had been applied at RSIGM Sultan Agung Semarang but there are still lack in the informed consent form and the informed refusal, the safety of the electronic medical record was still lack in the electronic signature format.

Download Full-text

Authorized Shared Electronic Medical Record System with Proxy Re-Encryption and Blockchain Technology

Sensors ◽

10.3390/s21227765 ◽

2021 ◽

Vol 21 (22) ◽

pp. 7765

Author(s):

Weizhe Chen ◽

Shunzhi Zhu ◽

Jianmin Li ◽

Jiaxin Wu ◽

Chin-Ling Chen ◽

...

Keyword(s):

Access Control ◽

Medical Record ◽

Electronic Medical Record ◽

Electronic Medical Records ◽

Medical Records ◽

Data Privacy ◽

Data Access ◽

Electronic Medical Record System ◽

Record System ◽

Medical Record System

With the popularity of the internet 5G network, the network constructions of hospitals have also rapidly developed. Operations management in the healthcare system is becoming paperless, for example, via a shared electronic medical record (EMR) system. A shared electronic medical record system plays an important role in reducing diagnosis costs and improving diagnostic accuracy. In the traditional electronic medical record system, centralized database storage is typically used. Once there is a problem with the data storage, it could cause data privacy disclosure and security risks. Blockchain is tamper-proof and data traceable. It can ensure the security and correctness of data. Proxy re-encryption technology can ensure the safe sharing and transmission of relatively sensitive data. Based on the above situation, we propose an electronic medical record system based on consortium blockchain and proxy re-encryption to solve the problem of EMR security sharing. Electronic equipment in this process is connected to the blockchain network, and the security of data access is ensured through the automatic execution of blockchain chaincodes; the attribute-based access control method ensures fine-grained access to the data and improves the system security. Compared with the existing electronic medical records based on cloud storage, the system not only realizes the sharing of electronic medical records, but it also has advantages in privacy protection, access control, data security, etc.

Download Full-text

Design and implementation of an affordable, public sector electronic medical record in rural Nepal

Journal of Innovation in Health Informatics ◽

10.14236/jhi.v24i2.862 ◽

2017 ◽

Vol 24 (2) ◽

pp. 186 ◽

Cited By ~ 7

Author(s):

Anant Raut ◽

Chase Yarbrough ◽

Vivek Singh ◽

Bikash Gauchan ◽

David Citrin ◽

...

Keyword(s):

Public Sector ◽

Medical Record ◽

Electronic Medical Record ◽

Electronic Medical Records ◽

Financial Management ◽

Medical Records ◽

Healthcare Delivery ◽

Patient Tracking ◽

Design And Implementation ◽

Rural Nepal

IntroductionGlobally, electronic medical records are central to the infrastructure of modern healthcare systems. Yet the vast majority of electronic medical records have been designed for resource-rich environments and are not feasible in settings of poverty. Here we describe the design and implementation of an electronic medical record at a public sector district hospital in rural Nepal, and its subsequent expansion to an additional public sector facility.DevelopmentThe electronic medical record was designed to solve for the following elements of public sector healthcare delivery: 1) integration of the systems across inpatient, surgical, outpatient, emergency, laboratory, radiology, and pharmacy sites of care; 2) effective data extraction for impact evaluation and government regulation; 3) optimization for longitudinal care provision and patient tracking; and 4) effectiveness for quality improvement initiatives.ApplicationFor these purposes, we adapted Bahmni, a product built with open-source components for patient tracking, clinical protocols, pharmacy, laboratory, imaging, financial management, and supply logistics. In close partnership with government officials, we deployed the system in February of 2015, added on additional functionality, and iteratively improved the system over the following year. This experience enabled us then to deploy the system at an additional district-level hospital in a different part of the country in under four weeks. We discuss the implementation challenges and the strategies we pursued to build an electronic medical record for the public sector in rural Nepal.DiscussionOver the course of 18 months, we were able to develop, deploy and iterate upon the electronic medical record, and then deploy the refined product at an additional facility within only four weeks. Our experience suggests the feasibility of an integrated electronic medical record for public sector care delivery even in settings of rural poverty.

Download Full-text

A BERT-BiGRU-CRF Model for Entity Recognition of Chinese Electronic Medical Records

Complexity ◽

10.1155/2021/6631837 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Qiuli Qin ◽

Shuang Zhao ◽

Chunmei Liu

Keyword(s):

Cerebrovascular Disease ◽

Medical Record ◽

Electronic Medical Record ◽

Electronic Medical Records ◽

Medical Records ◽

Named Entity Recognition ◽

Entity Recognition ◽

Body Parts ◽

Named Entity ◽

Excellent Research

Because of difficulty processing the electronic medical record data of patients with cerebrovascular disease, there is little mature recognition technology capable of identifying the named entity of cerebrovascular disease. Excellent research results have been achieved in the field of named entity recognition (NER), but there are several problems in the pre processing of Chinese named entities that have multiple meanings, of which neglecting the combination of contextual information is one. Therefore, to extract five categories of key entity information for diseases, symptoms, body parts, medical examinations, and treatment in electronic medical records, this paper proposes the use of a BERT-BiGRU-CRF named entity recognition method, which is applied to the field of cerebrovascular diseases. The BERT layer first converts the electronic medical record text into a low-dimensional vector, then uses this vector as the input to the BiGRU layer to capture contextual features, and finally uses conditional random fields (CRFs) to capture the dependency between adjacent tags. The experimental results show that the F1 score of the model reaches 90.38%.

Download Full-text

Synchronization of Electronic Medical Record Implementation Guidelines in National E-Health Strategies

SOEPRA ◽

10.24167/shk.v5i2.2430 ◽

2020 ◽

Vol 5 (2) ◽

pp. 209

Author(s):

Rezky Ami Cahyaharnita

Keyword(s):

Medical Record ◽

Electronic Medical Record ◽

Electronic Medical Records ◽

Time Management ◽

Medical Records ◽

Service Providers ◽

Health Sector ◽

Health Strategy ◽

Implementation Guidelines ◽

The Government

Medical records are made in writing, complete and clear or electronically. Medical records are the basis of medical services to patients. Paper medical records increase the amount of paper waste in Indonesia. A national e-health strategy is a comprehensive approach to efforts in the national health sector. Electronic medical records are more effective because of better time management. The formulation of the problem in this article covers the reasons, criteria, and implementation of electronic medical records. The research method used is descriptive qualitative research with a statute approach. The criteria for a good electronic medical record are integrated data from various sources, data collected at the service point, and supporting service providers in decision making. The expected electronic medical record is to be integrated with the health service facility information system program without neglecting the confidentiality aspect. Therefore, the government needs to make regulations on the technical implementation of electronic medical records.

Download Full-text

Research on named entity recognition of chinese electronic medical records based on multi-head attention mechanism and character-word information fusion

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-212495 ◽

2021 ◽

pp. 1-12

Author(s):

Qinghui Zhang ◽

Meng Wu ◽

Pengtao Lv ◽

Mengya Zhang ◽

Hongwei Yang

Keyword(s):

Medical Record ◽

Electronic Medical Record ◽

Electronic Medical Records ◽

Medical Records ◽

Named Entity Recognition ◽

Attention Mechanism ◽

Entity Recognition ◽

Long Distance ◽

Named Entity ◽

The Impact

In the medical field, Named Entity Recognition (NER) plays a crucial role in the process of information extraction through electronic medical records and medical texts. To address the problems of long distance entity, entity confusion, and difficulty in boundary division in the Chinese electronic medical record NER task, we propose a Chinese electronic medical record NER method based on the multi-head attention mechanism and character-word fusion. This method uses a new character-word joint feature representation based on the pre-training model BERT and self-constructed domain dictionary, which can accurately divide the entity boundary and solve the impact of unregistered words. Subsequently, on the basis of the BiLSTM-CRF model, a multi-head attention mechanism is introduced to learn the dependency relationship between remote entities and entity information in different semantic spaces, which effectively improves the performance of the model. Experiments show that our models have better performance and achieves significant improvement compared to baselines. The specific performance is that the F1 value on the Chinese electronic medical record data set reaches 95.22%, which is 2.67%higher than the F1 value of the baseline model.

Download Full-text