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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：分母案件出院後14日內非計畫性再住院案件數。 分母：同一家醫院當季生產住院案件數。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: the case was discharged after 14 days of non-denominator program of re-hospitalization cases. Denominator: the same hospital seasonal produce several cases of hospital... -
1 View
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：分母案件中急診>48小時之案件數。 分母：急診轉住院之案件數。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: denominator in cases of emergency> number of cases 48 hours. Denominator: The number of cases of hospital emergency transfer. Formula :( Numerator / Denominator) x 100% -
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在各院所的不同處方，開立同一種藥理分類之「安眠鎮靜藥物」，重複給藥日份加總。 分母：開立「安眠鎮靜藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: one patient with different prescriptions to various institutions, open a "sedative hypnotic drugs," the same classification of pharmacology, repeated administration pa... -
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在各院所的不同處方，開立同一種藥理分類之「抗憂鬱症藥物」，重複給藥日份加總。 分母：開立「抗憂鬱症藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: one patient with different prescriptions to various institutions, opening the same pharmacological classification of "anti-depression drugs," repeated administration p... -
1 View
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Title in English:
Description:
資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在各院所的不同處方，開立同一種藥理分類的「抗思覺失調症藥物」重複給藥日份加總。 分母：同一院所開立「抗思覺失調症藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: one patient with different prescriptions to various institutions, opening the same pharmacological classification of "anti-psychosis drugs disorder" repeated dosing pa... -
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在同一家院所的不同處方，開立同一種藥理分類之「安眠鎮靜藥物」，重複給藥日份加總。 分母：開立「安眠鎮靜藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: with a patient with a prescription in different institutes, open a "sedative hypnotic drugs," the same classification of pharmacology, repeated administration parts of... -
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Title in English:
Description:
資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在同一家院所的不同處方，開立同一種藥理分類之「抗憂鬱症藥物」，重複給藥日份加總。 分母：開立「抗憂鬱症藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: with a patient with a prescription in different institutes, opening the same pharmacological classification of "anti-depression drugs," repeated administration parts o... -
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Title in English:
Description:
資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在同一家院所的不同處方，開立同一種藥理分類的「抗思覺失調症藥物」重複給藥日份加總。 分母：同一家院所開立「抗思覺失調症藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: with a patient with a prescription in different institutes, opening the same pharmacological classification of "anti-psychosis drugs disorder" repeated dosing part day... -
1 View
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Title in English:
Description:
資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在各院所的不同處方，開立同一種藥理分類之「降血糖藥物」，重複給藥日份加總 分母：開立「降血糖藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: one patient with different prescriptions to various institutions, open a "hypoglycemic agents" of the same pharmacological classification, repeated dosing day copies p... -
1 View
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Title in English:
Description:
資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在各院所的不同處方，開立同一種藥理分類之「口服降血脂藥物」，重複給藥日份加總 分母：開立「口服降血脂藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: one patient with different prescriptions to various institutions, opening the same pharmacological classification of "oral lipid-lowering drugs," repeated dosing day c... -
1 View
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Title in English:
Description:
資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在各院所的不同處方，開立同一種藥理分類之「口服降血壓藥物」，重複給藥日份加總。 分母：開立「口服降血壓藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: one patient with different prescriptions to various institutions, open "oral antihypertensive drugs" the same classification of pharmacology, repeated administration p... -
1 View
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Title in English:
Description:
資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在同一家院所的不同處方，開立同一種藥理分類之「降血糖藥物」，重複給藥日份加總 分母：開立「降血糖藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: with a patient with a prescription in different institutes, open a "hypoglycemic agents" of the same pharmacological classification, repeated dosing day copies plus sc... -
1 View
Title:
Title in English:
Description:
資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在同一家院所的不同處方，開立同一種藥理分類之「口服降血脂藥物」，重複給藥日份加總 分母：開立「口服降血脂藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: with a patient with a prescription in different institutes, opening the same pharmacological classification of "oral lipid-lowering drugs," repeated dosing day copies ... -
1 View
Title:
Title in English:
Description:
資料來源：保險醫事服務機構醫療服務點數申報資料 分子：同一位病人在同一家院所的不同處方，開立同一種藥理分類之「口服降血壓藥物」，重複給藥日份加總。 分母：開立「口服降血壓藥物」案件的給藥日份加總。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: with a patient with a prescription in different institutes, open "oral antihypertensive drugs" the same classification of pharmacology, repeated administration parts o... -
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：開立慢性病連續處方箋案件數(排特殊醫院與病房案件)。 分母：慢性病給藥案件數(排特殊醫院與病房案件)：醫事機構申報之「案件分類」代碼為「 04 ，西醫慢性病」。 計算公式：(分子/分母) x 100％。Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: opening number (row of special hospital wards case) continuous prescription chronic cases. Denominator: number of cases of chronic administration (row special hospital... -
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：分母案件中，轉歸代碼符合”6 轉院”案件。 分母：住院DRG案件的案件數。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: denominator cases, the outcome in line with the code "referral 6" case. Denominator: The number of cases in hospital DRG cases. Formula :( Numerator / Denominator) x 100% -
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：分母出院案件中，距離出院日0日至3日內，再次急診的案件數(跨院)。 分母：住院DRG案件的出院案件數。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: denominator discharge cases, was discharged from Day 0 to Day 3 days, the number of cases of emergency again (campus-wide). Denominator: hospital discharge DRG case nu... -
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：分母出院案件中，距離出院日0日至14日內，再次住院的案件數(跨院)。 分母：住院DRG案件的出院案件數。 計算公式：（分子／分母）x 100％Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: denominator discharge cases, was discharged from Day 0 to Day 14 days, the number of (campus-wide) cases of readmission. Denominator: hospital discharge DRG case numbe... -
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：住院DRG案件的總住院天數(包含急性病床天數及慢性病床天數)。 分母：住院DRG案件的案件數。 計算公式：（分子／分母）。Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: the total number of hospital days in hospital DRG cases (including the number of days and those with chronic bed acute hospital bed days). Denominator: The number of c... -
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資料來源：保險醫事服務機構醫療服務點數申報資料 分子：Σ(各DRG案件數X各DRG相對權重)。 分母：所有DRG案件的案件數。 計算公式：（分子／分母）。Description in English:
[MT] Source: Insurance services Medical Services Medical claims data points molecule: Σ (X number of cases in each DRG relative weight of each DRG). Denominator: Number of all cases of DRG cases. Formula :( numerator / denominator).
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