Ditemukan 11738 dokumen yang sesuai dengan query :: Simpan CSV
Medika, No.10, XXX, Okt. 2004, hal. 678-680, ( Cat. ada di bendel 2000 - 2005 )
[s.l.] :
[s.n.] :
s.a.]
Indeks Artikel Jurnal-Majalah Pusat Informasi Kesehatan Masyarakat
☉
Medika, No.10, XXX, Oktober 2004, hal. 678-680. ( ket. ada di bendel 2004 no. 7-12)
[s.l.] :
[s.n.] :
s.a.]
Indeks Artikel Jurnal-Majalah Pusat Informasi Kesehatan Masyarakat
☉
Cermin Dunia Kedokteran (CDK), Vol.37, No.8, Nov. - Des. 2010, hal: 615
[s.l.] :
[s.n.] :
s.a.]
Indeks Artikel Jurnal-Majalah Pusat Informasi Kesehatan Masyarakat
☉
Astrid W. Sulistomo
612.3923 IND s
Jakarta : FK UI, 2014
Buku (pinjaman 1 minggu) Pusat Informasi Kesehatan Masyarakat
☉
Yesti Mulia Eryani; Pembimbing: Pujiyanti; Penguji:
Abstrak:
Read More
Latar belakang: Perkembangan teknologi informasi di bidang kesehatan telah mendorong rumah sakit untuk menyelenggarakan Rekam Medis Elektronik (RME) guna meningkatkan mutu pelayanan, efisiensi kerja, dan keselamatan pasien. Kerangka PIECES merupakan kerangka kerja yang mengklasifikasikan masalah, peluang, dan arahan menjadi 6 kategori yang dapat memberikan panduan yang komprehensif dan seluruh faktor penting diperhatikan dalam melakukan evaluasi sehingga dapat diidentifikasi area-area yang membutuhkan perbaikan dan dapat mengukur dampak terhadap organisasi secara menyeluruh dalam evaluasi sistem RME. Penerapan RME di RS Andhika berjalan sejak 2022 namun sampai saat ini belum berjalan maksimal dan masih ditemukan kendala dalam pelaksanaannya seperti formulir yang tidak lengkap, hak akses staf tidak aktif masih ada, adanya dobel rekam medis dan capaian pengisian rekam medis di RS Andhika baru mencapai 93% dengan standar 100%. Tujuan: Penelitian ini bertujuan untuk menganalisis penerapan RME di RSU Andhika Jakarta Selatan menggunakan metode PIECES yang mencakup enam aspek terdiri dari Performance, Information and Data, Economics, Control and Security, Efficiency, dan Service. Metode: Penelitian ini merupakan penelitian kualitatif dengan teknik pengumpulan data dilakukan melalui observasi, wawancara mendalam serta telaah dokumen. Hasil: Hasil menunjukkan bahwa pada aspek Performance, sistem RME telah memberikan informasi yang cukup tetapi masih ditemukan kendala teknis dan kelengkapan data. Information and Data dinilai cukup informatif namun fleksibilitas dan kesesuaian data dengan kebutuhan masih perlu ditingkatkan. Pada aspek Economics, ditemukan tantangan terkait keterbatasan integrasi dan tingginya biaya operasional. Control and Security sudah mengatur hak akses, namun masih ditemukan kelemahan dalam autentikasi pengguna. Efficiency menunjukkan sistem cukup mudah dipelajari namun tidak memberi notifikasi kesalahan. Aspek Service menunjukkan akurasi cukup baik, namun masih terdapat ketidakkonsistenan data di beberapa jenis data. Kesimpulan: Penerapan RME di RS Andhika saat ini belum optimal yang masih diperlukan perbaikan dalam setiap aspek yang mempengaruhi dilihat dari segi Performance, Information and Data, Economic, Control and Security, Efficiency, dan Service dengan melakukan perencanaan, evaluasi, dan monitoring dalam penerapan rekam medis elektronik serta berupaya untuk selalu melakukan perbaikan.
Background: The development of information technology in the health sector has encouraged hospitals to organize Electronic Medical Records (EMR) to improve reciprocal services, work efficiency, and patient safety. The PIECES framework is a framework that classifies problems, opportunities, and directions into 6 categories that can provide comprehensive guidance and all important factors are considered in conducting evaluations so that areas that need improvement can be identified and the impact on the organization as a whole can be measured in the EMR evaluation system. The implementation of EMR at Andhika Hospital has been running since 2022, but until now it has not been running optimally and there are still obstacles in its implementation such as incomplete forms, inactive staff access rights still exist, there are double medical records and the achievement of filling in medical records at Andhika Hospital has only reached 93% with a standard of 100%. Purpose: This study aims to analyze the implementation of EMR at Andhika Hospital, South Jakarta using the PIECES method which includes six aspects consisting of Performance, Information and Data, Economics, Control and Security, Efficiency, and Service. Method: This study is a qualitative study with data collection techniques carried out through observation, in-depth interviews and document review. Results: The results show that in the Performance aspect, the RME system has provided sufficient information but there are still technical constraints and data completeness. Information and Data are considered quite informative but anxiety and alignment of data with needs still need to be improved. In the Economic aspect, challenges were found related to limited integration and high operational costs. Control and Security have regulated access rights, but there are still weaknesses in user authentication. Efficiency shows that the system is quite easy to learn but does not provide error notifications. The Service aspect shows fairly good accuracy, but there is still data inconsistency in several types of data. Conclusion: The implementation of RME at Andhika Hospital is currently not optimal and still needs improvement in every aspect that affects it in terms of Performance, Information and Data, Economic, Control and Security, Efficiency, and Service by planning, evaluating, and monitoring in the implementation of electronic medical records and trying to always make improvements.
B-2534
Depok : FKM UI, 2025
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Agung Frijanto
MJKI No.4
Jakarta : Grafiti Medika Pers, 2008
Indeks Artikel Jurnal-Majalah Pusat Informasi Kesehatan Masyarakat
☉
Rico Januar Sitorus
KJKMN Vol.8, No.7
Depok : FKM UI, 2014
Indeks Artikel Jurnal-Majalah Pusat Informasi Kesehatan Masyarakat
☉
Risma Yulius; Pembimbing: Wahyu Sulistiadi
B-416
Depok : FKM UI, 2000
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Maria Angelika; Pembimbing: Asri C. Adisasmital; Penguji: Dwi Gayatri, Lanny Luhukay
Abstrak:
Read More
Pada tahun 2022, jumlah kematian kanker payudara di Indonesia merupakan yang keempat tertinggi secara global. Banyaknya kematian kanker payudara salah satunya disebabkan oleh komorbiditas. Studi ini bertujuan untuk mengetahui hubungan komorbiditas dengan survival tiga tahun kanker payudara di Indonesia. Studi ini menggunakan desain studi kohort retrospektif dan mencakup 896 sampel dari Data Sampel General BPJS Kesehatan tahun 2018-2023. Kurva dan probabilitas survival dibuat dengan metode Kaplan-Meier. Sedangkan hubungan dilihat dengan uji log-rank dan Hazard Ratio (HR) dianalisis dengan uji cox regression. Hasil studi menunjukkan cumulative survival probability (CSP) pada total sampel di bulan ke-36 adalah 49,9%, median waktu survival adalah 35,34 bulan. Pasien kanker payudara yang memiliki komorbid dan komorbid lainnya memiliki risiko kematian yang lebih tinggi dalam tiga tahun (Komorbid CSP = 43,7%; HR = 1,38; 95% CI = 1,01-1,89, komorbid lainnya CSP = 42,4%; HR = 1,43; 95% CI = 1,01-2,04). Studi ini tidak menemukan perbedaan survival yang signifikan antara kedua kelompok di variabel gangguan metabolik termasuk diabetes, hipertensi, penyakit kardiovaskular, usia saat diagnosis, status pernikahan, kondisi sosial ekonomi, dan tempat tinggal. Survival pasien kanker payudara di Indonesia termasuk rendah, khususnya pasien dengan komorbid.
In 2022, Indonesia ranked fourth globally in the number of breast cancer deaths. One of the contributing factors to the high mortality rate is comorbidity. This study aims to examine the association between comorbidities and three-year survival of breast cancer patients in Indonesia. A retrospective cohort design was used, involving 896 samples from the 2018–2023 BPJS Kesehatan General Sample Data. Survival curves and probabilities were estimated using the Kaplan-Meier method, while associations were analyzed using the log-rank test and Hazard Ratios (HR) via Cox regression. The study found that the cumulative survival probability (CSP) at 36 months for the overall sample was 49.9%, with a median survival time of 35,34 months. Breast cancer patients with comorbidities and other comorbid conditions had a higher risk of death within three years (comorbidity CSP = 43.7%; HR = 1.38; 95% CI = 1.01–1.89, other comorbidities CSP = 42.4%; HR = 1.43; 95% CI = 1.01–2.04). No significant differences in survival were found based on metabolic disorders including diabetes, hypertension, cardiovascular disease, age at diagnosis, marital status, socioeconomic status, or place of residence. Breast cancer survival in Indonesia remains low, particularly among patients with comorbidities.
In 2022, Indonesia ranked fourth globally in the number of breast cancer deaths. One of the contributing factors to the high mortality rate is comorbidity. This study aims to examine the association between comorbidities and three-year survival of breast cancer patients in Indonesia. A retrospective cohort design was used, involving 896 samples from the 2018–2023 BPJS Kesehatan General Sample Data. Survival curves and probabilities were estimated using the Kaplan-Meier method, while associations were analyzed using the log-rank test and Hazard Ratios (HR) via Cox regression. The study found that the cumulative survival probability (CSP) at 36 months for the overall sample was 49.9%, with a median survival time of 35,34 months. Breast cancer patients with comorbidities and other comorbid conditions had a higher risk of death within three years (comorbidity CSP = 43.7%; HR = 1.38; 95% CI = 1.01–1.89, other comorbidities CSP = 42.4%; HR = 1.43; 95% CI = 1.01–2.04). No significant differences in survival were found based on metabolic disorders including diabetes, hypertension, cardiovascular disease, age at diagnosis, marital status, socioeconomic status, or place of residence. Breast cancer survival in Indonesia remains low, particularly among patients with comorbidities.
S-12071
Depok : FKM UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
Siti Zaenab; Pembimbing: Sudarto Ronoatmodjo; Penguji: Tri Yunis Miko, Soewarta Kosen, Shena Masyita Deviemur
T-7163
Depok : FKM UI, 2024
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
