Research on the Construction of Precision Medical System Under the Background of Big Data-The Roles and Responsibilities of Government, Hospitals and Medical Workers

This article explores the roles and responsibilities of government, hospital and medical workers in the construction of precision medical system under the background of big data, which provide reference advices for setting out big data-related policies by the government, promoting the applications of big data technology in the medical field by the hospital, and using big data technology to help improve the efficiency of clinical diagnosis and treatment or make precise medical practice by medical workers. The main research contents are followed. It presents some problems and countermeasures in setting out big data-related policies by the government. This article studies the work tips of hospitals, as the main body of the implementation of the responsibility and obligation, and how to use big data technology in application. Meanwhile, it tries to analyze the problems and difficulties which hospitals and medical workers need to pay attention to applying big data technology in precision medicine.

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Assessment of antimicrobial use in private and government hospitals, a comparative study in central kerala, using who indicators

International Journal of Indigenous Herbs and Drugs ◽

10.46956/ijihd.v6i4.236 ◽

2021 ◽

pp. 88-92

Author(s):

Chinnu Roy ◽

Shaji George ◽

Aleena Issac ◽

Arya Ponnappan ◽

Dhanya Paul

Keyword(s):

Broad Spectrum ◽

Average Cost ◽

Private Hospital ◽

Antimicrobial Treatment ◽

Antimicrobial Use ◽

Government Hospital ◽

Prescribing Pattern ◽

Government Hospitals ◽

The Government ◽

Who Indicators

Background: Irrational use of antimicrobial can cause various unwanted and untoward events. It may diminish the quality of patient care, increase the cost of therapy, and involvement in various side effects. Thus, the appropriateness of antimicrobial use in hospitals plays a pivotal role in patient safety. Objective: To analyze and assess the prescribing pattern of antimicrobials in private and government hospitals as per the WHO indicators. Methodology: A prospective comparative observational study was carried out for 6 months, with the patient diagnosed with an infectious disease admitted to the medical ward of both the hospitals during the study period. The data obtained from the study sites were Compared and analyzed using WHO indicators described in WHO’s “How to Investigate Antimicrobial use in Hospitals: Selected Indicators, Feb 2012”. Results: The study involved 216 patients and the average number of antimicrobials prescribed was found to be 1.73 in a private hospital and 2.07 in the government hospital, average cost of antimicrobials was found to be 86.48 INR in private and 31.04 INR in the government hospital, average duration of antimicrobial treatment was 4.8 in private and 5.2 in the government hospital, and the percentage of antimicrobials prescribed in generic was 33.33% in private and 87.83% in the government hospital. Considering the spectrum of antibiotics, both private (94.7%) and government (88.8%) used broad-spectrum antimicrobials. In both hospitals, cephalosporins were the most frequently prescribed class of antimicrobials. Comparing the dosage of antimicrobials given, injection usage is at the highest in government (59.5%) as well as in the private hospital (68.4%). Conclusion: This study indicates that the average cost of antimicrobials was more in a private hospital than that in a government hospital and other indicators such as the number of antimicrobials per hospitalization, duration of antimicrobial treatment, and the percentage of generic antimicrobials prescribed were all found to be more in a government hospital. In both private and government hospitals broad-spectrum antimicrobials were widely used, with cephalosporin as the most prescribed class.

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Teaching Methods of Computer Education under the Background of Big Data

E3S Web of Conferences ◽

10.1051/e3sconf/202127503049 ◽

2021 ◽

Vol 275 ◽

pp. 03049

Author(s):

Xiang Nan

Keyword(s):

Big Data ◽

Digital Media ◽

Teaching Methods ◽

Computer Network ◽

Teaching Method ◽

Academic Research ◽

Computer Education ◽

Computer Application ◽

Main Body ◽

Big Data Technology

With the advancement of society and the increase of computer, network and digital media technology, big data technology has become an indispensable part of modern service industry. Big data technology has been developed in all aspects of the education industry, and the value of products and services created has gradually increased. Big data plays an important role in technology in computer education and other aspects. This article mainly introduces the teaching method research of computer education under the background of big data. This article uses the research of the teaching method of computer education under the background of big data, starting from the two aspects of computer education and basic courses, rationally analyzing the feasibility of the teaching method of computer education. From the labor market in our country, the demand for computer talents is concentrated on application-oriented talents, but the purpose of computer education in many schools mostly stays in traditional research-based teaching, resulting in a decline in the quality of education, and it is difficult to meet the market’s demand for computer application-oriented talents. It is the main body that determines the course content and teaching mode. The experimental results of this paper show that the research on the teaching methods of computer education under the background of big data has increased the efficiency of computer education by 18%. The limitations of the research on the teaching methods of computer education under the background of big data are analyzed, and the methods and ways of computer ability training are analyzed. Discuss and summarize, so as to enrich the academic research results.

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Big Data Analytics in Healthcare

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.i7304.0991120 ◽

2020 ◽

Vol 9 (11) ◽

pp. 317-319

Keyword(s):

Big Data ◽

Care Delivery ◽

Big Data Analytics ◽

Work Place ◽

Medical Field ◽

Huge Number ◽

Biomedical Image ◽

Patient Profile ◽

Day By Day ◽

Big Data Technology

Today, data is constantly increasing and it becomes very hard to handled data skilfully in the usual way. It is also quite expensive, unproductive and very hard to manage data. That's the reason why the super-important technologies are entering in the work place. In the medical field data is increasing day by day and it becomes very hard to manage, analysis and store data in paper pen work. Recent, big data technology, plays major role in the management, organization and analysis of data. Big data technology has been applied towards improving patient profile of care delivery. Biomedical image, generating each day in huge number can be analyzed better with big data technology along with machine learning and artificial intelligence.Research rate in this field has the potential to provide meaningful result in identification of diseases. Change in DNA can predict many future chronic disease. Research also demanded useful, updated, and accurate data. . It becomes possible for public to identify their health risk by their own.

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AN ANALYSIS ON THE POLICY IMPLEMENTATION OF ANTIBACTERIAL RESISTANCE CONTROL AT THE HOSPITAL

Journal of Indonesian Health Policy and Administration ◽

10.7454/ihpa.v3i2.2128 ◽

2018 ◽

Vol 3 (2) ◽

Author(s):

Nani Indriana ◽

Wiku Bakti. B Adisasmito

Keyword(s):

Private Hospital ◽

Control Program ◽

Descriptive Study ◽

Limited Resources ◽

Red Cross ◽

Antibiotics Resistance ◽

Antibacterial Resistance ◽

Government Hospital ◽

Government Hospitals ◽

The Government

Abstract. In order to control Antibacterial Resistance at the hospital in Indonesia, the Government of Indonesia established an Antibiotics Resistance Control Committee and issued a Regulation from the Ministry of Health, regulation no 8/2015 on an antibiotics resistance control program at the hospital. This is an investigation on the Antibacterial Resistance Control Program (ARCP) at the Hospital, which compares its implementation at a government hospital and a private hospital, Persahabatan Central General Hospital (CGH) and Bogor Indonesian Red Cross Hospital (BIRCH). This was a descriptive study with a qualitative analysis obtained through indepth interviews and documentary research. We discovered that the ARCP was implemented better at Persahabatan CGH compared to BIRCH. Problems include ineffective communication, limited resources, lack of an antibiotic guideline (at BIRCH), lack of coordination between organizations, lack of supervision from the government, and the lack of motivation to implement the policy. These issues can be solved by intensifying the socialization of the policy, conducting more workshops and trainings for private and government hospitals that has not received any, providing an incentive for them to implement the program, such as including ARC into hospital accreditation indicators, and clarifying the benefits of the program to the stakeholders. Abstrak. Salah satu upaya pengendalian resistensi antibiotika di Indonesia adalah pembentukan pembentukan Komite Pengendalian Resisten Antibiotika (KPRA) dan diterbitkannya Permenkes no. 8 Tahun 2015 tentang program pengendalian resistensi antibiotika (PPRA) di rumah sakit (RS). Penelitian ini bertujuan untuk menggali lebih dalam terhadap implementasi kebijakan PPRA di RS dibandingkan antara RS pemerintah dengan RS swasta yaitu RS Persahabatan dan RS PMI. Metode penelitian merupakan studi deskriptif dengan analisis kualitatif melalui wawancara mendalam dan telaah dokumen. Hasil penelitian menyimpulkan bahwa pelaksanaan PPRA di RS Pemerintah lebih baik dari RS Swasta. Saran yang diajukan adalah mempercepat peningkatan kesadaran akan pentingnya PPRA, terutama bagi RS.

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A framework design to develop integrated data system for smart e-government based on big data technology

Bulletin of Social Informatics Theory and Application ◽

10.31763/businta.v1i2.26 ◽

2017 ◽

Vol 1 (2) ◽

pp. 41-51

Author(s):

Fahmi Dzikrullah ◽

Muhammad Angga Rinjani

Keyword(s):

Big Data ◽

Public Services ◽

Rapid Development ◽

Data System ◽

Electronic Government ◽

Government Agencies ◽

Framework Design ◽

Open Government Data ◽

The Government ◽

Big Data Technology

The rapid development of information communication and technology (ICT) in the field of governance or public service has shifted from the age of information to the age of data. The public sector is becoming increasingly aware of the potential value of data, where governments generate and collect large quantities of data (volume), rapid growth data (velocity) and various type of data (variety) through their services. Meanwhile, the government agencies keep constructing the various database, information system or application with different data sources and platform. Therefore, the interoperability has become the important requirements in electronic Government (e-Government) infrastructure that progresses towards higher levels of integration among government levels and branches. In this paper, we proposed a framework design for the development of Integrated Data System for e-Government that we call Smart e-Government, which integrates traditional information systems that is combined with an intelligent system based on big data technology. With this system, the government agencies could provide services environment with greater ease and deliver public value through open government data initiatives in a Smart e-Government context. Moreover, this would also be very useful for the government executives to monitor public services which are increasingly prestige, institutional transparency, as well as accountability. Such integration is to improve the quality of public services through information technology.

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Contributions of interpersonal conflict management on performance of government hospitals in Nigeria

Independent Journal of Management & Production ◽

10.14807/ijmp.v12i7.1457 ◽

2021 ◽

Vol 12 (7) ◽

pp. 1785-1807

Author(s):

Kelechi Johnmary Ani ◽

Chigozie Onu ◽

Ijeoma Genevieve Anikelechi

Keyword(s):

Conflict Management ◽

Interpersonal Conflict ◽

Hospital Staff ◽

Mortality Rates ◽

Working Environment ◽

Teaching Hospitals ◽

Collaborative Approach ◽

Government Hospital ◽

Government Hospitals ◽

The Government

This study investigated the place of interpersonal conflict management on performance of government hospitals in Nigeria and specifically. The purpose is to ascertain how collaborative approach of interpersonal conflict management affect mortality rates reduction in government hospitals and investigate if avoidance technique in conflict management improves the working relationships in the government hospital within Nigeria. The study adopted survey research design and was conducted in National Hospital Abuja, and University of Nigeria Teaching Hospital (UNTH) Ituku/Ozalla, Enugu State, Nigeria. The study population is 1629, which includes all health professionals employed in selected public- owned teaching hospitals. A sample size of 312 was drawn from the population. The study used descriptive statistics (frequency, charts, tables and simple percentage) to calculate, analyse, show or summarize responses to the research questions. The hypotheses were tested using ordinal logistic regression. Findings showed that collaborative approach has significantly contributed in reducing mortality rates in government hospitals in Nigeria, and avoidance as a means of interpersonal conflict management helped improve the working relations of selected government hospital staff in Nigeria. The study recommended that they should be improved communication, and collaboration between management, clerks, nurses, doctors and workers representatives in running the affairs of the hospitals. Again, conflicting tendencies should always be avoided by workers for more efficient, peaceful, coordinated and minimal conflicts in working environment within the healthcare industry.

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A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

Intelligent Automation & Soft Computing ◽

10.31209/2019.100000111 ◽

2019 ◽

pp. 561-573

Author(s):

Yu Zhang ◽

Yan-Ge Wang ◽

Yan-Ping Bai ◽

Yong-Zhen Li ◽

Zhao-Yong Lv ◽

...

Keyword(s):

Big Data ◽

Data Compression ◽

Experiment Data ◽

Big Data Technology

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Using Big Data Technology For Prediction Of Quiz Difficulty Level In E-learning Systems

10.34279/0923-008-004-014 ◽

2018 ◽

pp. 176

Author(s):

Hiba A. Abu Alsaad ◽

Rana Riad K. Al Taie

Keyword(s):

Big Data ◽

Learning Systems ◽

Difficulty Level ◽

E Learning ◽

Big Data Technology

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Validity of the “Big Data Tendency in Education” Scale as a Tool Helping to Reach Inclusive Social Development

Sustainability ◽

10.3390/su12135470 ◽

2020 ◽

Vol 12 (13) ◽

pp. 5470 ◽

Cited By ~ 2

Author(s):

Antonio Matas-Terrón ◽

Juan José Leiva-Olivencia ◽

Pablo Daniel Franco-Caballero ◽

Francisco José García-Aguilera

Keyword(s):

Big Data ◽

Inclusive Education ◽

Sustainable Development Goals ◽

Sustainable Society ◽

Education Students ◽

The Sustainable Development ◽

Research Goal ◽

Development Goals ◽

Nonprobability Sample ◽

Big Data Technology

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.

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