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تُظهر مجموعة البيانات هذه خدمات المستشفى للمرضى الداخليين حسب التخصص والجنسيةDescription in English:
[MT] These data set shows hospital services for internal patients by specialization and nationality -
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Dataset ini berisikan tentang 10 penyakit terbanyak di rawat jalan RSUD Provinsi DKI Jakarta Tahun 2019 Penjelasan variabel dari dataset ini sebagai berikut : nama_diagnosa :...Description in English:
[MT] This dataset contains about 10 diseases in outpatient hospitals Jakarta Year 2019Penjelasan variables from this dataset as follows: 1. nama_diagnosa Diagnosis pasien2 disease. kode_diagnosa: pasien3 disease diagnosis codes. jumlah_pasien: The numbe... -
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Dataset ini mengenai data jumlah dan jenis 10 Penyakit Terbanyak Rawat Jalan di RSUD DKI Jakarta Tahun 2020 Penjelasan variabel dari dataset ini sebagai berikut : nama_diagnosa...Description in English:
[MT] This dataset as the number and types 10 Most Diseases Hospital Outpatient in Jakarta Year 2020Penjelasan variables from this dataset as follows: 1. nama_diagnosa Diagnosis pasien2 disease. kode_diagnosa: pasien3 disease diagnosis codes. jumlah_pasi... -
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تعرض مجموعة البيانات إجمالي عدد المستشفيات والأسرة والأطباء والممرضات الموزعة حسب التخصص الطبي (عام ، أمراض النساء والتوليد ، أمراض الرئة ، إعادة التأهيل ، والطب النفسي) ،...Description in English:
[MT] The data set is presented to the total number of hospitals, family, doctors and nurses distributed according to medical specialization (General, gynecology and gynecology, lung diseases, rehabilitation, psychiatry), and area of 2002. -
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The dataset presents the total number of employees distributed by hospital, hospital specialty, and medical district.Description in English:
The dataset presents the total number of employees distributed by hospital, hospital specialty, and medical district. -
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Dataset ini mengenai 10 Penyakit Terbanyak Rawat Inap di RSUD DKI Jakarta tahun 2020 Penjelasan variabel dari dataset ini sebagai berikut : nama_diagnosa : Diagnosa penyakit...Description in English:
[MT] The dataset is about 10 Disease Most Hospitalization in hospitals in Jakarta in 2020Penjelasan variables from this dataset as follows: 1. nama_diagnosa Diagnosis pasien2 disease. kode_diagnosa: pasien3 disease diagnosis codes. jumlah_pasien: The nu... -
3 Views
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จากโครงการยกเลิกการเรียกสำเนาเอกสารจากประชาชน ซึ่งเป็นโครงการในการการเปลี่ยนผ่านสู่รัฐบาลดิจิทัล ทางรัฐบาลให้ส่วนราชการเร่งรัดยกเลิกการเรียกสำเนาเอกสารจากประชาชน อาทิ...Description in English:
[MT] The cancellation of the documents from the public. The project is in the transition to digital government. The government canceled the government to expedite the documents from the public, including a copy of the identity card. copy And provide gov... -
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Set data ini mengandungi maklumat senarai bilik bersih untuk penyediaan aseptik farmasi yang siap dibina dan dikualifikasi di hospital kerajaan. Sediaan aseptik farmasi termasuk...Description in English:
[MT] This data set contains a list of clean rooms for aseptic pharmaceutical preparation completed and qualified in government hospitals. Aseptic pharmaceutical preparations including the preparation of Cytotoxic Drug Reconstitution (CDR), Total Parente... -
5 Views
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Data menunjukkan jumlah pesakit yang menerima rawatan perubatan tradisional dan komplementari di hospital kerajaan pada tahun 2017.Description in English:
[MT] The data show the number of patients receiving traditional and complementary medicine treatment at government hospitals in 2017. -
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تُظهر مجموعة البيانات هذه عدد العمليات حسب الحجم والمنطقة الطبيةDescription in English:
[MT] This data set shows the number of operations by size and medical area -
3 Views
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This dataset shows the number of operations by specialty and medical districtDescription in English:
This dataset shows the number of operations by specialty and medical district -
1 View
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تعرض مجموعات البيانات هذه خدمات المستشفى حسب المستشفى والمنطقة الطبيةDescription in English:
[MT] Data groups offer hospital services by hospital and medical area -
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تُظهر مجموعة البيانات هذه خدمات المستشفى للمرضى الخارجيين حسب الجنسية والمنطقةDescription in English:
[MT] The data set shows the hospital services for outer patients by nationality and regions -
1 View
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تقدم مجموعة البيانات إحصائيات حول الوفيات والمواليد والأسرة وخدمات المستشفى (العمليات والإقامات والقبول والحضور).Description in English:
[MT] The data group provides statistics on mortality, births, family and hospital services (operations, residences, acceptance and attendance). -
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Banyaknya Tenaga Medis di RSUD BATANG Menurut Jenis Kelamin tahun 2016Description in English:
[MT] Medics at the hospital many STEM According to Gender 2016 -
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Banyaknya Tenaga Medis di RSUD BATANG Menurut Jenis Kelamin tahun 2017Description in English:
[MT] Medics at the hospital many STEM According to Gender 2017 -
2 Views
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Set data ini mengandungi maklumat fasiliti yang menawarkan perkhidmatan klinik pemulihan terapi ubat (medication therapy adherence clinic, MTAC) di Kementerian Kesihatan...Description in English:
[MT] This data set contains information facility that offers rehabilitation clinic drug therapy (medication therapy adherence clinic, MTAC) in the Ministry of Health (MOH) .The source data managed by the Division of Pharmacy Practice & Development, Mini... -
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Set data ini mengandungi maklumat senarai fasiliti KKM yang menawarkan perkhidmatan nilai tambahan bagi perkhidmatan farmasi. Perkhidmatan nilai tambahan adalah inovasi dalam...Description in English:
[MT] This data set contains a list of MOH facilities that offer value-added services for pharmacy services. Value added service is an innovation in the service of dispensing medication and follow-up. For more information on the pharmaceutical value-adde... -
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تمثل مجموعة البيانات هذه الخدمات الخاصة بالمستشفيات حسب المستشفى والمنطقة الطبيةDescription in English:
[MT] The Data Group represents these hospital services by hospital and medical area -
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تبين مجموعة البيانات عدد حالات الإحالة من مراكز صحة الأم والطفل إلى المستشفيات الموزعة حسب أسباب الإحالة والمقاطعة الطبيةDescription in English:
[MT] The data set shows the number of referral cases of maternal and child health centers to hospitals distributed according to the reasons for referral and medical province
Funder:IDB, MOEA, R.O.C
Supervisor:TCA
Principal Investigator:Dr. Cheng-Kiang Farn
Co-Principal Investigator:Dr. Chi-Feng Tai
Co-Principal Investigator:Dr. Hsiao-Fen Chen
Programmer:Zhi-Yi Luo