IVOD_ID |
162290 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162290 |
日期 |
2025-06-05 |
會議資料.會議代碼 |
委員會-11-3-20-15 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第15次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
15 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第3會期財政委員會第15次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-06-05T11:22:36+08:00 |
結束時間 |
2025-06-05T11:31:23+08:00 |
影片長度 |
00:08:47 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3f41131fcd5ae56480ddbf6da10ff2d1bbacbcf4f939c22c46063d171e8badfa0688a33c2524b26f5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴惠員 |
委員發言時間 |
11:22:36 - 11:31:23 |
會議時間 |
2025-06-05T10:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第15次全體委員會議(事由:邀請審計部陳審計長瑞敏、衛生福利部就「最近疫情再起,有關衛生福利部過去所準備的快篩試劑、疫苗、各式藥品及相關醫療機構因應措施」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.02659375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
1.38096875 |
transcript.pyannote[1].end |
1.88721875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
2.25846875 |
transcript.pyannote[2].end |
3.65909375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
4.26659375 |
transcript.pyannote[3].end |
5.46471875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
7.18596875 |
transcript.pyannote[4].end |
7.72596875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
8.04659375 |
transcript.pyannote[5].end |
10.10534375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
11.20221875 |
transcript.pyannote[6].end |
19.57221875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
19.94346875 |
transcript.pyannote[7].end |
20.61846875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
21.15846875 |
transcript.pyannote[8].end |
27.31784375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
27.53721875 |
transcript.pyannote[9].end |
31.30034375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
31.53659375 |
transcript.pyannote[10].end |
33.35909375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
33.57846875 |
transcript.pyannote[11].end |
35.67096875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
36.09284375 |
transcript.pyannote[12].end |
43.41659375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
43.51784375 |
transcript.pyannote[13].end |
47.53409375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
47.56784375 |
transcript.pyannote[14].end |
55.75221875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
56.12346875 |
transcript.pyannote[15].end |
63.53159375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
64.07159375 |
transcript.pyannote[16].end |
69.13409375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
69.48846875 |
transcript.pyannote[17].end |
90.90284375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
79.39409375 |
transcript.pyannote[18].end |
79.91721875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
91.86471875 |
transcript.pyannote[19].end |
92.37096875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
91.99971875 |
transcript.pyannote[20].end |
94.86846875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
94.59846875 |
transcript.pyannote[21].end |
94.98659375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
94.98659375 |
transcript.pyannote[22].end |
97.16346875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
97.95659375 |
transcript.pyannote[23].end |
98.69909375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
98.90159375 |
transcript.pyannote[24].end |
100.87596875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
99.77909375 |
transcript.pyannote[25].end |
100.03221875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
100.03221875 |
transcript.pyannote[26].end |
100.63971875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
100.63971875 |
transcript.pyannote[27].end |
101.02784375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
101.02784375 |
transcript.pyannote[28].end |
101.65221875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
101.65221875 |
transcript.pyannote[29].end |
101.66909375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
101.66909375 |
transcript.pyannote[30].end |
101.68596875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
101.82096875 |
transcript.pyannote[31].end |
104.20034375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
104.20034375 |
transcript.pyannote[32].end |
110.95034375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
109.90409375 |
transcript.pyannote[33].end |
127.60596875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
122.61096875 |
transcript.pyannote[34].end |
122.96534375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
128.29784375 |
transcript.pyannote[35].end |
130.30596875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
130.20471875 |
transcript.pyannote[36].end |
130.99784375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
130.47471875 |
transcript.pyannote[37].end |
133.57971875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
132.65159375 |
transcript.pyannote[38].end |
136.33034375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
135.60471875 |
transcript.pyannote[39].end |
137.47784375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
136.75221875 |
transcript.pyannote[40].end |
150.48846875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
137.76471875 |
transcript.pyannote[41].end |
138.18659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
150.48846875 |
transcript.pyannote[42].end |
175.02471875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
165.79409375 |
transcript.pyannote[43].end |
166.41846875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
173.99534375 |
transcript.pyannote[44].end |
181.75784375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
177.35346875 |
transcript.pyannote[45].end |
178.82159375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
182.16284375 |
transcript.pyannote[46].end |
186.70221875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
186.87096875 |
transcript.pyannote[47].end |
190.29659375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
188.47409375 |
transcript.pyannote[48].end |
189.30096875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
190.17846875 |
transcript.pyannote[49].end |
193.58721875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
192.62534375 |
transcript.pyannote[50].end |
195.49409375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
195.62909375 |
transcript.pyannote[51].end |
210.00659375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
202.31159375 |
transcript.pyannote[52].end |
204.10034375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
207.62721875 |
transcript.pyannote[53].end |
210.51284375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
210.90096875 |
transcript.pyannote[54].end |
216.48659375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
216.36846875 |
transcript.pyannote[55].end |
221.80221875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
222.44346875 |
transcript.pyannote[56].end |
225.51471875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
226.07159375 |
transcript.pyannote[57].end |
246.99659375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
246.65909375 |
transcript.pyannote[58].end |
256.88534375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
257.02034375 |
transcript.pyannote[59].end |
261.37409375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
261.42471875 |
transcript.pyannote[60].end |
267.39846875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
267.70221875 |
transcript.pyannote[61].end |
275.80221875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
276.03846875 |
transcript.pyannote[62].end |
278.26596875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
278.58659375 |
transcript.pyannote[63].end |
286.97346875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
289.13346875 |
transcript.pyannote[64].end |
291.85034375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
292.28909375 |
transcript.pyannote[65].end |
295.02284375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
293.92596875 |
transcript.pyannote[66].end |
307.03784375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
308.05034375 |
transcript.pyannote[67].end |
314.96909375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
313.46721875 |
transcript.pyannote[68].end |
319.10346875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
318.00659375 |
transcript.pyannote[69].end |
318.42846875 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
319.01909375 |
transcript.pyannote[70].end |
325.81971875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
326.83221875 |
transcript.pyannote[71].end |
341.54721875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
328.30034375 |
transcript.pyannote[72].end |
331.30409375 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
334.79721875 |
transcript.pyannote[73].end |
336.56909375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
339.60659375 |
transcript.pyannote[74].end |
340.46721875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
341.66534375 |
transcript.pyannote[75].end |
345.31034375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
345.71534375 |
transcript.pyannote[76].end |
361.81409375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
359.24909375 |
transcript.pyannote[77].end |
362.33721875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
362.47221875 |
transcript.pyannote[78].end |
369.89721875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
366.72471875 |
transcript.pyannote[79].end |
372.17534375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
372.24284375 |
transcript.pyannote[80].end |
405.06471875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
401.85846875 |
transcript.pyannote[81].end |
402.48284375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
402.83721875 |
transcript.pyannote[82].end |
414.59909375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
414.80159375 |
transcript.pyannote[83].end |
482.41971875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
442.22346875 |
transcript.pyannote[84].end |
442.57784375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
450.55971875 |
transcript.pyannote[85].end |
451.01534375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
481.30596875 |
transcript.pyannote[86].end |
490.19909375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
490.55346875 |
transcript.pyannote[87].end |
495.17721875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
494.50221875 |
transcript.pyannote[88].end |
496.64534375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
495.56534375 |
transcript.pyannote[89].end |
507.44534375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
504.27284375 |
transcript.pyannote[90].end |
504.49221875 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
507.04034375 |
transcript.pyannote[91].end |
513.72284375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
512.91284375 |
transcript.pyannote[92].end |
514.58346875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
514.39784375 |
transcript.pyannote[93].end |
514.90409375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
514.93784375 |
transcript.pyannote[94].end |
516.01784375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
516.82784375 |
transcript.pyannote[95].end |
520.03409375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
519.29159375 |
transcript.pyannote[96].end |
519.54471875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
521.06346875 |
transcript.pyannote[97].end |
521.36721875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
521.55284375 |
transcript.pyannote[98].end |
523.24034375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
523.17284375 |
transcript.pyannote[99].end |
527.07096875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
525.07971875 |
transcript.pyannote[100].end |
525.77159375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
525.77159375 |
transcript.pyannote[101].end |
526.96971875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
526.96971875 |
transcript.pyannote[102].end |
527.05409375 |
transcript.whisperx[0].start |
0.69 |
transcript.whisperx[0].end |
3.414 |
transcript.whisperx[0].text |
還有我們莊仁祥署長中署長委員好是 署長好 |
transcript.whisperx[1].start |
11.209 |
transcript.whisperx[1].end |
32.688 |
transcript.whisperx[1].text |
部長署長還有所有我們衛福部的同仁謝謝你們從2019年COVID-19開始到現在其實之前我在衛環委員會其實都很深刻的感受到大家其實在這個疫情發生的期間你們所付出的一個辛勞真的要非常謝謝你們 |
transcript.whisperx[2].start |
33.689 |
transcript.whisperx[2].end |
63.032 |
transcript.whisperx[2].text |
那在這一段時間就是說我們很多防疫的一個措施那雖然目前我們防疫已經降級了那這個COVID也轉為第四類的傳染病可是在近期我們好像看到又不斷的有這個疫情的一個上升為什麼因為病毒不斷的這個演化可是我們的疫苗有沒有持續的就是說在進進那甚至就是說在 |
transcript.whisperx[3].start |
64.973 |
transcript.whisperx[3].end |
88.634 |
transcript.whisperx[3].text |
這個本土的一個死亡的病例我們可以看這個資料裡頭看看就是說在最近這幾個幾週裡頭很明顯很明顯就是說他們一直上來那在這裡要請教部長部長 是有沒有特別比較好的一個防疫的一個措施現在其實一定在進行中那你的總預算你的總預算是3700億 |
transcript.whisperx[4].start |
91.957 |
transcript.whisperx[4].end |
92.738 |
transcript.whisperx[4].text |
維護部的總預算是3700億那就是我們機關署呢 |
transcript.whisperx[5].start |
99.302 |
transcript.whisperx[5].end |
127.123 |
transcript.whisperx[5].text |
機關署你的預算多少120億來 那個機關署你是不是那個今年應該好像500億左右啦那明年是100 爭取120億明年爭取120億那好 在這個機關署裡頭這個120億有95億是用來做防疫的一個計畫可是你這個防疫的計畫其實你還防艾滋啊 防很多流感那你放在COVID裡頭 你放了多少錢 |
transcript.whisperx[6].start |
129.465 |
transcript.whisperx[6].end |
150.06 |
transcript.whisperx[6].text |
38億左右肺炎的一個防疫95億裡頭你放了38億39億那這39億在執行的情況之下現在已經進到6月了那你覺得在未來如果有這個疫情的一個增加你有沒有辦法去應付 |
transcript.whisperx[7].start |
150.56 |
transcript.whisperx[7].end |
174.526 |
transcript.whisperx[7].text |
應該是說面對這一波的疫情應該是比較大雖然我們這個抗病毒藥物大概還有43萬人份但是我們可能要到8月的時候看一下它使用的狀況那如果因為秋冬可能還有一波啦所以我們雖然還有大概10萬人份的那個貝拉維的部分也會考慮進去但是不是還需要再增加這個抗病毒藥物 |
transcript.whisperx[8].start |
175.126 |
transcript.whisperx[8].end |
186.603 |
transcript.whisperx[8].text |
所以你隨時準備要增加嘛就是說我們的公會疫苗一直傳說就是在大S那一波已經用掉了 |
transcript.whisperx[9].start |
186.929 |
transcript.whisperx[9].end |
209.532 |
transcript.whisperx[9].text |
那是流感疫苗的部分這個是新冠疫苗不一樣那你的公會疫苗現在還有多少目前大概還有300萬劑新冠疫苗的部分300萬劑那我們在上個禮拜看到的你的庫存是308萬7千那你幾乎是一個星期打掉了3萬劑我們現在看到的是上個禮拜大概6萬7 |
transcript.whisperx[10].start |
210.973 |
transcript.whisperx[10].end |
224.96 |
transcript.whisperx[10].text |
六萬七千劑左右那目前每一天大概都一萬多劑是啊那這樣子的話你顯然你有沒有辦法去應付就是就是後續的這些大爆發的狀況 |
transcript.whisperx[11].start |
226.381 |
transcript.whisperx[11].end |
246.107 |
transcript.whisperx[11].text |
應該是說目前因為它整個疫情其實很快啦就是大概只有一個月之內大概就到高峰了所以我們現在也在鼓勵民眾在打疫苗但是就是說目前其實我們在各個縣市的一個診所其實都只要民眾願意打我們都可以提供沒有問題 |
transcript.whisperx[12].start |
246.907 |
transcript.whisperx[12].end |
251.509 |
transcript.whisperx[12].text |
那在這裡我再特別請教部長怎麼樣改善公會疫苗的採購跟庫存的一個評估那我們從衛福部裡頭那個的資料我們認為就是說你寫得很清楚喔這個2024年是550萬劑的COVID的一個採購那使用的情況 |
transcript.whisperx[13].start |
267.795 |
transcript.whisperx[13].end |
286.725 |
transcript.whisperx[13].text |
我們看不到比較明確的一個公開的一個數據可是在流感疫苗的採購裡頭就寫得非常的清楚反而是流感寫得很清楚COVID寫得不是那麼的一個清楚那相較於過去你在最近這一期你做了多少的一個調整 |
transcript.whisperx[14].start |
289.291 |
transcript.whisperx[14].end |
306.767 |
transcript.whisperx[14].text |
你說使用量嗎使用量沒有關係你就講使用量我們當然是希望宣導該施打的對象要趕快來盡量施打盡量把這個採購的用盡量把它使用 |
transcript.whisperx[15].start |
308.12 |
transcript.whisperx[15].end |
325.149 |
transcript.whisperx[15].text |
所以就顯然就是說這些都是在你的準備當中都是在你的掌握裡頭所以我們會隨著疫情說實在那種先導的強度會更需要啦可是你的預算被砍了那個就是先導會被砍了六成啊那你現在到底夠不夠錢啊 |
transcript.whisperx[16].start |
326.874 |
transcript.whisperx[16].end |
338.789 |
transcript.whisperx[16].text |
那當然做需要花錢的先導就可能會影響但是我們所以你看羅一金副書長整天在寫臉書 整天在開記者會寫臉書開記者會 那錢啊 錢怎麼辦啊 |
transcript.whisperx[17].start |
345.837 |
transcript.whisperx[17].end |
368.706 |
transcript.whisperx[17].text |
所以說主計處在這個地方你要挨啊 你要講啊今天其實就是換了一個場景到這個地方來在九樓就是財政委員會的地方我覺得你應該就是也有所準備真的很謝謝財政委員會的關心啦這個要謝謝我們耐斯堡召委他特別排了一個這個案子讓我們大家都說 現在是要造成景象了解以前的狀況 |
transcript.whisperx[18].start |
372.327 |
transcript.whisperx[18].end |
388.155 |
transcript.whisperx[18].text |
是啊所以就是說非常清楚因為經過討論嘛大家會看到就是說整個衛福部的一個困境那如何如何來補上來這個也是要跟部長就是也鼓勵也請你那個提出來就是說 |
transcript.whisperx[19].start |
388.875 |
transcript.whisperx[19].end |
404.3 |
transcript.whisperx[19].text |
是不是有趕快提出最佳預算來補強防疫的一個宣導的一個需求你光是這個宣傳費用就被捅三了六成這個多嚴重啊這個是非常嚴重的所以我知道你的困難我已經請那個機關署在超前部署來估算那我相信政府一定會來支持我們防疫所有的預算跟資源 |
transcript.whisperx[20].start |
414.864 |
transcript.whisperx[20].end |
443.503 |
transcript.whisperx[20].text |
好那部長跟你提到的基層醫療院所目前的這個疫苗處置費用100塊那這個100塊當然是不夠的我們從那個兒科醫學會裡頭他有特別講到了就是說光是基層的醫療院所他們要儲存一個疫苗他們需要相關的專業冷藏的冰箱還要需要不斷電的系統還有溫度的一個監控這施打的經過還要經過 |
transcript.whisperx[21].start |
445.024 |
transcript.whisperx[21].end |
465.123 |
transcript.whisperx[21].text |
就是我們醫護人員的三讀五對一定要打得很正確人要施打也都是要校對的很清楚光是這些冷鏈的設備人力的一個行政還有就是物流的一個運輸那如果像他們這樣換算一個疫苗一支就要410塊 |
transcript.whisperx[22].start |
467.085 |
transcript.whisperx[22].end |
488.024 |
transcript.whisperx[22].text |
那在醫學中心平均要到592塊那有沒有機會我們重新再來就是說考慮提高這個疫苗處置費用的補助的金額呢那個是不是請那個我先補充一下我還是在這邊謝謝賴委員在過去幾年尤其在防疫COVID防疫當中對於疫苗處置費的爭取 |
transcript.whisperx[23].start |
491.386 |
transcript.whisperx[23].end |
519.273 |
transcript.whisperx[23].text |
讓基層醫療院所一定打疫苗所以鎖住了疫情幫助非常大那有關於這個要提升這個部分我們已經有在可能的範圍來爭取明年有更多的預算那能爭取多少我們會再繼續努力所以說部長就是我們會提升那我們提升這個補貼我們一定往這方面來努力對 那就是說這阿舊娘是不是這樣說可以這樣講 |
transcript.whisperx[24].start |
521.769 |
transcript.whisperx[24].end |
522.491 |
transcript.whisperx[24].text |
應該是這樣子可以這樣講好 謝謝部長也謝謝我們謝謝那周圍的資訊 |