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Early Warning System pada Perubahan Klinis Pasien terhadap Mutu Pelayanan Rawat Inap

HIGEIA (Journal of Public Health Research and Development) · Vol. 4 No. 3 (2020) · pp. 506–519

DOI
10.15294/higeia.v4i3.37842
ISSN
2541-5581, 2541-5603
Published
2020-07-29
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

ABSTRAK Early Warning System (EWS) pada perubahan klinis pasien merupakan sistem informasi asuhan pasien untuk mendukung pengambilan keputusan klinis. Tujuan penelitian ini adalah untuk membandingkan keluaran klinis sebelum dan sesudah penerapan EWS terkait tingkat penggunaan sistem di RS X. Penelitian ini merupakan penelitian analitik komparatif. Data diambil dari audit tingkat penggunaan EWS dalam 19.810 sampel rekam medik pasien rawat inap dan dari data statistik rumah sakit. Penelitian menunjukkan bahwa penggunaan yang baik dari EWS di RS X hanya sebesar 22,81%. Belum didapatkan perbedaan signifikan Net Death Rate (NDR) dan Length of Stay (LOS) pasien sesudah penerapan EWS (p=0,862 and p=0,105; CI 95%). Peningkatan aktivasi Kode Biru dan penurunan admisi HCU yang signifikan sesudah penerapan EWS (p=0,001 dan p=0.038; CI 95%) berkebalikan dari hasil yang diharapkan. Penurunan signifikan admisi ICU sesudah implementasi EWS (p=0,013; CI 95%), dikaitkan dengan rendahnya tingkat penggunaan EWS di RS X, masih dapat disebabkan oleh faktor lain diluar EWS. Tanpa penerapan EWS yang baik, dampak positif terhadap mutu pelayanan rawat inap belum dapat tercapai. ABSTRACT Early Warning System (EWS) in patient clinical change is a patient care information system to support clinical decision making. The study aimed to compare patient outcomes before and after EWS implementation according to system usage level in X Hospital. The study was an analytic comparative research. Data collected from EWS usage level audit in 19,810 samples of inpatient medical records and hospital statistic data. The result showed that proper usage of EWS in X Hospital ward was 22.81%. There was no significant difference about Net Death Rate and patient length of stay in X hospital (p=0,862 and p=0,105; CI 95%). Significant increase of Code Blue activation and decrease in HCU admission after EWS implementation (p=0,001 and p=0,038; CI 95%) was contrary to the expected results. A significant decrease in ICU admission after EWS implementation (p=0,013; CI 95%), related to low proper usage of EWS in X Hospital, can be caused by factors other than EWS. Without a good EWS implementation, positive impact to hospital ward service quality cannot be reached. Keywords: Hospital Service Quality; Inpatient; Early Warning System

Collaboration network of the authors

17 authors · 33 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ida Leida MariaAffiliation unknown1
Oktia Woro Kasmini HandayaniAffiliation unknown1
Ari YuniastutiState University of Semarang1
Suryani As'adAffiliation unknown1
Pingkan FristiwiAffiliation unknown1
Fatimah Asri Fadhilah AuliaAffiliation unknown1
Shafa Alya KamilaAffiliation unknown1
Mursid RaharjoAffiliation unknown1
Wida Ayulia DamayantiAffiliation unknown1
Sri WinarniAffiliation unknown1
Dharminto DharmintoAffiliation unknown1
Dion Zein NuridzinAffiliation unknown1
Hasrianti HasriantiAffiliation unknown1
Zahro ShaluhiyaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/higeia/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Early Warning System pada Perubahan Klinis Pasien terhadap Mutu Pelayanan Rawat Inap</dc:title>
	<dc:creator>Hidayat, Dian Indriani</dc:creator>
	<dc:creator>Agushybana, Farid</dc:creator>
	<dc:creator>Nugraheni, Sri Achadi</dc:creator>
	<dc:description xml:lang="en-US">ABSTRAK
Early Warning System (EWS) pada perubahan klinis pasien merupakan sistem informasi asuhan pasien untuk mendukung pengambilan keputusan klinis. Tujuan penelitian ini adalah untuk membandingkan keluaran klinis sebelum dan sesudah penerapan EWS terkait tingkat penggunaan sistem di RS X. Penelitian ini merupakan penelitian analitik komparatif. Data diambil dari audit tingkat penggunaan EWS dalam 19.810 sampel rekam medik pasien rawat inap dan dari data statistik rumah sakit. Penelitian menunjukkan bahwa penggunaan yang baik dari EWS di RS X hanya sebesar 22,81%. Belum didapatkan perbedaan signifikan Net Death Rate (NDR) dan Length of Stay (LOS) pasien sesudah penerapan EWS (p=0,862 and p=0,105; CI 95%). Peningkatan aktivasi Kode Biru dan penurunan admisi HCU yang signifikan sesudah penerapan EWS (p=0,001 dan p=0.038; CI 95%) berkebalikan dari hasil yang diharapkan. Penurunan signifikan admisi ICU sesudah implementasi EWS (p=0,013; CI 95%), dikaitkan dengan rendahnya tingkat penggunaan EWS di RS X, masih dapat disebabkan oleh faktor lain diluar EWS. Tanpa penerapan EWS yang baik, dampak positif terhadap mutu pelayanan rawat inap belum dapat tercapai.
&amp;nbsp;
ABSTRACT
Early Warning System (EWS) in patient clinical change is a patient care information system to support clinical decision making. The study aimed to compare patient outcomes before and after EWS implementation according to system usage level in X Hospital. The study was an analytic comparative research. Data collected from EWS usage level audit in 19,810 samples of inpatient medical records and hospital statistic data. The result showed that proper usage of EWS in X Hospital ward was 22.81%. There was no significant difference about Net Death Rate and patient length of stay in X hospital (p=0,862 and p=0,105; CI 95%). Significant increase of Code Blue activation and decrease in HCU admission after EWS implementation (p=0,001 and p=0,038; CI 95%) was contrary to the expected results. A significant decrease in ICU admission after EWS implementation (p=0,013; CI 95%), related to low proper usage of EWS in X Hospital, can be caused by factors other than EWS. Without a good EWS implementation, positive impact to hospital ward service quality cannot be reached.
Keywords:&amp;nbsp;Hospital Service Quality; Inpatient; Early Warning System
&amp;nbsp;</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2020-07-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/higeia/article/view/37842</dc:identifier>
	<dc:identifier>10.15294/higeia.v4i3.37842</dc:identifier>
	<dc:source xml:lang="en-US">HIGEIA (Journal of Public Health Research and Development); Vol 4 No 3 (2020): HIGEIA: July 2020; 506-519</dc:source>
	<dc:source>2541-5581</dc:source>
	<dc:source>2541-5603</dc:source>
	<dc:source>10.15294/higeia.v4i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/higeia/article/view/37842/16614</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 HIGEIA (Journal of Public Health Research and Development)</dc:rights>
</oai_dc:dc>