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All Journal JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Jurnal Pengabdian Pada Masyarakat METHABDI Majalah Ilmiah METHODA JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit)
Jadeny Sinatra
Universitas Methodist Indonesia
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Physics Public Health

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Big Data Analytics in Patient Care During Coronavirus Disease 2019 (COVID-19) Pandemic: A Systematic Review Andy Andy; Salsabilla Maula Zalfa El-Hamzah; Jadeny Sinatra
JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Vol 11, No 3 (2022): December
Publisher : Universitas Muhammadiyah Yogyakarta in Clollaboration with ADMMIRASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmmr.v11i3.14657

Abstract

The latest advancements in the field of computational techniques and big data analytics (BDA) are very helpful in dealing with the spread of coronavirus disease 2019 (COVID-19). The objective of this study was to systematically review BDA applications that have been implemented in patient care and the challenges during COVID-19 pandemic. We conducted a literature search in PubMed, Science Direct, Clinical Key, EBSCO, ProQuest, Cochrane Central, Wiley’s Library, and Springer to identify relevant articles published from 2020 to 2022. Studies were included if they reported BDA applications that had been implemented in real-life patient care during COVID-19 pandemic. We identified 14 relevant studies that reported the implementation and evaluation of BDA applications in patient care during COVID-19 pandemic, of which ten adopted an observational design and four adopted an experimental design. The BDA applications targeted various tasks, such as estimate or predict risk score (n=4), diagnosis (n=6), and healthcare decision making (n=4). Regarding the challenges faced, we identified four issues of BDA during COVID-19, such as data governance, economic challenges, big data technology challenges, and security and privacy issues. This review indicates applications of BDA have tremendous potential to bring a lot of advantages, especially in combatting COVID-19 pandemic, despite insufficient evidence to advocate the routine use of patient care BDA.
PENYULUHAN DAMPAK INFEKSI HIV AIDS KEPADA MASYARAKAT DESA LUMBAN PEA TIMUR, KABUPATEN TOBA Endy Juli Anto; Dwi L. D. S. Siahaan; Evirosa J. Simanjuntak; Inda M. Sinaga; Faskanita M. Nadapdap; Frengky S. Manullang; Novrina Situmorang; Jimmy Jimmy; Juliyanti Juliyanti; Laura P. S. Tambunan; Widjaya Taufik Tiji; Alex M. Lumbanraja; Jadeny Sinatra; Alexander P. Marpaung; Elizabeth S. Girsang; Ivonne R. V. O Situmeang; Jerry Tobing; Caroline Koswara; Helmida Gultom; Jeffrey
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 2 No 1 (2022): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (982.489 KB) | DOI: 10.46880/methabdi.Vol2No1.pp54-57

Abstract

Community Service (PkM) is carried out by the Faculty of Medicine Universitas Methodist Indonesia by providing counselling the effect of HIV Infections and AIDS. PkM was held on 8-11 June 2022 at Lumban Pea Timur, Balige,Toba District, North Sumatera. The method used is to provide counselling/lectures and provide motivation, then followed by question and answer to obtain results and solutions as a form of problem’s solving and obstacles faced. The results of PkM with counselling are very effective considering that there are still many people who do not get information about HIV infections and AIDS. With this counselling, the public becomes aware of the HIV_AIDS Infections problem. Thus, it is hoped that the people of Lumban Pea Timur will aware and know how to prevent their community from HIV-AIDS Infections.
PEDOMAN DALAM PENANGANAN KANDIDIASIS Jadeny Sinatra; Jekson Martiar Siahaan
Majalah Ilmiah METHODA Vol. 8 No. 1 (2018): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol8No1.pp50-61

Abstract

Candida species is an important cause of nosocomial infection that lead to death and prolonged hospital stay. The number of immunocompromised patients, at greater risk of fungal infection, treated in intensive care units (ICUs) has increased considerably. The widespread use of invasive monitoring , therapeutic equipment and treatment with broad spectrum antibiotic increases the risk of fungal colonization and infection. An acute awareness of the increasing incidence of Candida as a pathogen and of the associated morbidity and mortality is necessary. Guidelines management of candidiasis by Infectious Disesase Society of America(IDSA) in 2009 previously, was revised. There have been new data pertaining to diagnosis, prevention, and treatment for proven or suspected invasive candidiasis, leading to significant modification in treatment recommendations, which released in 2016. This article provides a summary of the most recent guideline for the management of candidiasis.
Big Data Analytics in Patient Care During Coronavirus Disease 2019 (COVID-19) Pandemic: A Systematic Review Andy Andy; Salsabilla Maula Zalfa El-Hamzah; Jadeny Sinatra
JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Vol. 11 No. 3 (2022): December 2022
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmmr.v11i3.14657

Abstract

The latest advancements in the field of computational techniques and big data analytics (BDA) are very helpful in dealing with the spread of coronavirus disease 2019 (COVID-19). The objective of this study was to systematically review BDA applications that have been implemented in patient care and the challenges during COVID-19 pandemic. We conducted a literature search in PubMed, Science Direct, Clinical Key, EBSCO, ProQuest, Cochrane Central, Wiley’s Library, and Springer to identify relevant articles published from 2020 to 2022. Studies were included if they reported BDA applications that had been implemented in real-life patient care during COVID-19 pandemic. We identified 14 relevant studies that reported the implementation and evaluation of BDA applications in patient care during COVID-19 pandemic, of which ten adopted an observational design and four adopted an experimental design. The BDA applications targeted various tasks, such as estimate or predict risk score (n=4), diagnosis (n=6), and healthcare decision making (n=4). Regarding the challenges faced, we identified four issues of BDA during COVID-19, such as data governance, economic challenges, big data technology challenges, and security and privacy issues. This review indicates applications of BDA have tremendous potential to bring a lot of advantages, especially in combatting COVID-19 pandemic, despite insufficient evidence to advocate the routine use of patient care BDA.
Co-Authors Alex M. Lumbanraja Alexander P. Marpaung Andy Andy Caroline Koswara Dwi L. D. S. Siahaan Elizabeth Septianur Girsang Endy Juli Anto Evirosa J. Simanjuntak Faskanita M. Nadapdap Frengky S. Manullang Helmida Gultom Inda M. Sinaga Ivonne R. V. O Situmeang Jeffrey Jerry Tobing Jimmy Jimmy Juliyanti Juliyanti Laura P. S. Tambunan Novrina Situmorang Salsabilla Maula Zalfa El-Hamzah Siahaan, Jekson Martiar Widjaya Taufik Tiji