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Latar belakang: Penelitian ini mengembangkan sistem digital untuk layanan Medical Check Up (MCU) di Rumah Sakit Permata Cibubur menggunakan pendekatan Design Thinking. Sistem meliputi pendaftaran online, rekam medis elektronik, dan laporan digital. Integrasi Artificial Intelligence digunakan untuk otomatisasi laporan hasil pemeriksaan. Hasilnya, digitalisasi meningkatkan efisiensi, akurasi, dan kepuasan pasien, serta mendukung kebijakan nasional transformasi layanan kesehatan. Tujuan penelitian: Mengembangkan sistem digital MCU berbasis Design Thinking untuk meningkatkan efisiensi layanan dan mendukung transformasi digital di Rumah Sakit Permata Cibubur. Metodologi penelitian: Penelitian ini menggunakan metode kualitatif dengan mengadopsi Design Thinking dan elemen kuantitatif (mix methods) untuk mendukung validasi data. Data diperoleh melalui wawancara, observasi lapangan, kuisioner, dan dokumentasi lalu dianalisis secara tematik dan deskripsi kuantitatif. Informan terdiri dari dokter, perawat, manajemen, staf kesehatan dan petugas administrasi. Kuisioner kepada pasien dengan menggunakan Liker't Scale (sangat puas, puas, tidak puas, sangat tidak puas) dengan tujuan mengukur kepuasan penggunaan sistem digital MCU berdasarkan pendekatan Design Thinking. Hasil penelitian: Pengguna dan dokter mendukung sistem digital MCU berbasis AI untuk mempercepat proses dan meningkatkan akurasi, meskipun pemeriksaan fisik langsung tetap diperlukan, dengan survei pasien menunjukkan kepuasan tinggi namun masih perlu perbaikan pada kecepatan dan kemudahan penggunaan.
Background: This research develops a digital system for Medical Check Up (MCU) at Permata Cibubur Hospital uses the Design Thinking approach.The system include online registration, electronic medical records, and digital reports. Artificial Intellgence intragtion is used to automateexamination result report. Articial Intelligencein used to automate examination result reports.As a result, digitalization improves efficiency accuracy and patient satisfaction and supports the national policy of health service transformation. Research objectives: Develop a digital MCUsystem based on Design Thinking to improve service efficiency and support digital transformation at Permata Cibubur Hospital. Research methodology: This study uses a qualitative method by adopting Design Thinking anf quantitative elements (mix methods) to support data validation. Data were obtained through interviews, field observations, consisted of doctors, nurses, management, health staff and administrative officers. Questionnaires for patients using the Likert Scale (very satisfied, satisfied, dissatisfied, very dissatisfied)with the aim of measuring satisfaction with the use of the digital. MCU system based on the Design Thinking approach.Research result: Users and doctors support the AI-based digital MCU system to speed up the process and improve accuracy, although direct physical examinations are still needed, with patient surveys showing high satisfaction but still needing improvement in speed and ease of use.
Implementation of Health Promotion in Hospital HPH is very important because it is not only beneficial for patient to encourage healthy behavior, but also to the prevent patient from re treatment and maintain the patient 39 s quality of life, improve the health status of hospital staff, and also impact on improvement of service and prestige good name of the hospital it self. Based on the observation result, there are still some people who smoke in the Hospital environment and still meet some health service providers who do not counsel to patients clients. Although HPH Team has existed, implementation of HPH in Pringsewu is Hospital is still not optimal. This study aims to know the Determinant Factor of Optimal Implementation of Health Promotion in Hospital HPH at Pringsewu is Hospital in 2018. This research is a qualitative research through primary data collection and secondary data. The result of research shows that Implementation of Health Promotion in Hospital HPH at Pringsewu General Hospital is influenced by 4 factors, these are communication, resources, disposition and bureaucracy structure has not run optimally yet. The determinant factors affecting the implementation of HPH in Pringsewu is Hospital are the quality and quantity of human resources that have not been optimal, the communication process has not been effective and the bureaucratic structure has not involved many sectors and the lack of SOP related to the implementation of HPH.
Kata kunci:Instalasi Rawat Inap, Kinerja, Balanced Scorecard.
This thesis discusses the description of hospitalization performance of ABC hospitalthrough balanced scorecard (BSC) approach. The research design is descriptive analyticalwith quantitative approach and to support the results obtained also conducted qualitativeapproach by conducting interviews, study documents on four perspectives on BalancedScorecard. The results of the year 2013-2017 show : (1). Financial perspective : averageinpatient income growth is not ideal, average cost of spending is ideal, ratio income andexpenditure is ideal, (2). Customer perspective: inpatient satisfaction is not ideal,customer retention is not ideal, customer acquisition is not ideal, (3). Internal businessprocess perspective: BOR is not ideal, AvLOS is not ideal, BTO is ideal, TOI is not ideal,NDR is ideal, GDR is ideal, inpatient growth is ideal, (4) Perspective of growth andlearning : employee satisfaction is not ideal, turn over employee is ideal, access toeducation and training is not ideal. General advice should ABC Hospital measure itsperformance by using balanced scorecard approach, which is effective in measuringhospital performance comprehensively, effectively and can identify problems, and canassist hospital management to determine improvement measures to improve performancehospitals especially inpatient performance.
Keywords :Inpatient Installation, Performance, Balanced Scorecard (BSC).
Tujuan: Tujuan penelitian ini untuk mengetahui faktor-faktor penentu perilakutidak aman oleh pelaku pelayanan kesehatan di Rumah Sakit Umum Hasanah GrahaAfiah berdasarkan Permenkes No. 66 Tahun 2016.
Metode: Penelitian ini menggunakanpendekatan kuantitatif. Desain penelitian yang digunakan adalah bersifat observasionalcross sectional. Pengumpulan data primer melalui kuesioner sedangkan pengumpulandata sekunder dilakukan dengan penelusuran dokumen.
Hasil: Penelitian dilakukan padabulan April-Mei 2018 di Rumah Sakit Umum Hasanah Graha Afiah, Depok, ProvinsiJawa Barat. Sampel 127 responden yang memiliki profesi sebagai perawat, bidan, petugaslaboratorium dan petugas radiologi. Analisis chi square dan regresi logistik. Variabelyang dominan adalah pelatihan p value=0,000; OR= 4,250 dan pengetahuan pvalue=0,01; OR=3,986.
Saran: Dengan adanya penelitian ini setelah melihat hasilpenelitian diharapkan untuk dapat dipertimbangkan bagi pihak Rumah Sakit untukmengeluarkan peraturan turunan dari Permenkes No. 66 Tahun 2016 dalam bentukperaturan Rumah Sakit.
Background: RSU Hasanah Graha Afiah HGA is a referral hospital in Depok City thathas duties and functions as a place of health services, which has the potential for work relate dillnesses and accidents due to work experienced by health workers, patients and visitors Sick. RSU HGA has received Major Accreditation but still finds findings inaccreditation assessment on Facility and Safety Management such as not yet optimaleffective K3RS program to prevent injury to patient, family, staff and visitors and not yetfully fire and smoke early detection program.
Objective: The purpose of this study wasto decide the determinants of unsafe behavior by health service actors at RSU HasanahGraha Afiah based on Permenkes No. 66 Tahun 2016.
Method: This research usesquantitative approach. The research design used was observational cross sectional.Primary data collection through questionnaires while secondary data collection is doneby tracking documents.
Results: The study was conducted in April May 2018 at RSUHasanah Graha Afiah, Depok, West Java Province. Sample 127 respondents who haveprofession as nurse, midwife, laboratory officer and radiology officer. Chi square analysisand logistic regression. The dominant variable is training p value 0,000 OR 4,250 and knowledge p value 0.01 OR 3,986.
Suggestion: Given this research afterlooking at the results of the research is expected to be considered for the Hospital to issuederivative regulations from Permenkes No. 66 Tahun 2016 in the form of Hospitalregulations.
