IVOD_ID |
162263 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162263 |
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 |
2025-06-05T10:16:18+08:00 |
結束時間 |
2025-06-05T10:25:11+08:00 |
影片長度 |
00:08:53 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3f41131fcd5ae5649a3eec07f78177a9bbacbcf4f939c22ce7f061fc5ac7c7dcea8a73a6fda787c85ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
林德福 |
委員發言時間 |
10:16:18 - 10:25:11 |
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_03 |
transcript.pyannote[0].start |
3.84471875 |
transcript.pyannote[0].end |
5.58284375 |
transcript.pyannote[1].speaker |
SPEAKER_03 |
transcript.pyannote[1].start |
6.59534375 |
transcript.pyannote[1].end |
9.17721875 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
9.32909375 |
transcript.pyannote[2].end |
14.32409375 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
15.01596875 |
transcript.pyannote[3].end |
17.54721875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
18.22221875 |
transcript.pyannote[4].end |
18.69471875 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
19.43721875 |
transcript.pyannote[5].end |
20.50034375 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
21.46221875 |
transcript.pyannote[6].end |
24.51659375 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
25.05659375 |
transcript.pyannote[7].end |
25.86659375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
26.11971875 |
transcript.pyannote[8].end |
26.96346875 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
27.19971875 |
transcript.pyannote[9].end |
29.05596875 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
29.30909375 |
transcript.pyannote[10].end |
31.53659375 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
32.22846875 |
transcript.pyannote[11].end |
34.03409375 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
34.25346875 |
transcript.pyannote[12].end |
35.13096875 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
35.31659375 |
transcript.pyannote[13].end |
39.29909375 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
39.65346875 |
transcript.pyannote[14].end |
40.78409375 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
41.27346875 |
transcript.pyannote[15].end |
42.65721875 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
42.80909375 |
transcript.pyannote[16].end |
45.30659375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
45.79596875 |
transcript.pyannote[17].end |
46.30221875 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
46.43721875 |
transcript.pyannote[18].end |
80.65971875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
80.91284375 |
transcript.pyannote[19].end |
100.36971875 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
100.84221875 |
transcript.pyannote[20].end |
101.85471875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
102.68159375 |
transcript.pyannote[21].end |
106.15784375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
106.27596875 |
transcript.pyannote[22].end |
107.23784375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
107.76096875 |
transcript.pyannote[23].end |
116.02971875 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
116.51909375 |
transcript.pyannote[24].end |
116.97471875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
116.97471875 |
transcript.pyannote[25].end |
120.16409375 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
120.16409375 |
transcript.pyannote[26].end |
121.56471875 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
121.81784375 |
transcript.pyannote[27].end |
127.30221875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
128.21346875 |
transcript.pyannote[28].end |
128.23034375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
128.23034375 |
transcript.pyannote[29].end |
134.13659375 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
128.58471875 |
transcript.pyannote[30].end |
129.14159375 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
135.21659375 |
transcript.pyannote[31].end |
136.85346875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
137.14034375 |
transcript.pyannote[32].end |
139.95846875 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
139.62096875 |
transcript.pyannote[33].end |
152.07471875 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
152.32784375 |
transcript.pyannote[34].end |
191.03909375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
191.03909375 |
transcript.pyannote[35].end |
191.88284375 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
191.98409375 |
transcript.pyannote[36].end |
192.97971875 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
192.97971875 |
transcript.pyannote[37].end |
194.49846875 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
193.14846875 |
transcript.pyannote[38].end |
194.76846875 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
194.92034375 |
transcript.pyannote[39].end |
210.52971875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
210.47909375 |
transcript.pyannote[40].end |
210.76596875 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
210.64784375 |
transcript.pyannote[41].end |
218.86596875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
218.86596875 |
transcript.pyannote[42].end |
219.18659375 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
219.18659375 |
transcript.pyannote[43].end |
229.90221875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
229.90221875 |
transcript.pyannote[44].end |
230.20596875 |
transcript.pyannote[45].speaker |
SPEAKER_03 |
transcript.pyannote[45].start |
230.12159375 |
transcript.pyannote[45].end |
242.40659375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
239.13284375 |
transcript.pyannote[46].end |
239.14971875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
242.40659375 |
transcript.pyannote[47].end |
242.44034375 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
242.44034375 |
transcript.pyannote[48].end |
249.40971875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
242.45721875 |
transcript.pyannote[49].end |
242.62596875 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
249.67971875 |
transcript.pyannote[50].end |
251.85659375 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
251.94096875 |
transcript.pyannote[51].end |
259.56846875 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
260.34471875 |
transcript.pyannote[52].end |
263.75346875 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
263.71971875 |
transcript.pyannote[53].end |
269.92971875 |
transcript.pyannote[54].speaker |
SPEAKER_03 |
transcript.pyannote[54].start |
270.53721875 |
transcript.pyannote[54].end |
273.86159375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
273.06846875 |
transcript.pyannote[55].end |
305.02971875 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
276.25784375 |
transcript.pyannote[56].end |
277.00034375 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
277.20284375 |
transcript.pyannote[57].end |
277.96221875 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
283.69971875 |
transcript.pyannote[58].end |
283.96971875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
283.96971875 |
transcript.pyannote[59].end |
284.15534375 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
294.65159375 |
transcript.pyannote[60].end |
296.67659375 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
297.72284375 |
transcript.pyannote[61].end |
297.75659375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
297.75659375 |
transcript.pyannote[62].end |
298.27971875 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
298.27971875 |
transcript.pyannote[63].end |
298.34721875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
305.53596875 |
transcript.pyannote[64].end |
326.15721875 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
308.23596875 |
transcript.pyannote[65].end |
313.39971875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
326.52846875 |
transcript.pyannote[66].end |
326.96721875 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
326.96721875 |
transcript.pyannote[67].end |
329.61659375 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
330.35909375 |
transcript.pyannote[68].end |
334.05471875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
332.33346875 |
transcript.pyannote[69].end |
342.61034375 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
338.54346875 |
transcript.pyannote[70].end |
338.99909375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
342.91409375 |
transcript.pyannote[71].end |
393.21846875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
393.85971875 |
transcript.pyannote[72].end |
395.02409375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
395.02409375 |
transcript.pyannote[73].end |
395.53034375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
395.53034375 |
transcript.pyannote[74].end |
395.54721875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
395.54721875 |
transcript.pyannote[75].end |
395.58096875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
395.93534375 |
transcript.pyannote[76].end |
421.39971875 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
421.39971875 |
transcript.pyannote[77].end |
422.04096875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
422.04096875 |
transcript.pyannote[78].end |
422.22659375 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
422.22659375 |
transcript.pyannote[79].end |
422.26034375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
422.26034375 |
transcript.pyannote[80].end |
422.27721875 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
422.27721875 |
transcript.pyannote[81].end |
422.29409375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
422.63159375 |
transcript.pyannote[82].end |
429.58409375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
429.41534375 |
transcript.pyannote[83].end |
432.60471875 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
429.63471875 |
transcript.pyannote[84].end |
431.11971875 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
432.33471875 |
transcript.pyannote[85].end |
436.18221875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
436.13159375 |
transcript.pyannote[86].end |
439.65846875 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
438.08909375 |
transcript.pyannote[87].end |
458.32221875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
439.99596875 |
transcript.pyannote[88].end |
440.01284375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
440.02971875 |
transcript.pyannote[89].end |
440.80596875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
448.65284375 |
transcript.pyannote[90].end |
448.90596875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
458.91284375 |
transcript.pyannote[91].end |
477.03659375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
461.32596875 |
transcript.pyannote[92].end |
461.37659375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
461.39346875 |
transcript.pyannote[93].end |
461.73096875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
477.03659375 |
transcript.pyannote[94].end |
493.67534375 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
492.42659375 |
transcript.pyannote[95].end |
492.74721875 |
transcript.pyannote[96].speaker |
SPEAKER_03 |
transcript.pyannote[96].start |
493.67534375 |
transcript.pyannote[96].end |
498.19784375 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
498.46784375 |
transcript.pyannote[97].end |
505.47096875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
505.47096875 |
transcript.pyannote[98].end |
515.81534375 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
514.07721875 |
transcript.pyannote[99].end |
514.61721875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
516.03471875 |
transcript.pyannote[100].end |
529.26471875 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
529.09596875 |
transcript.pyannote[101].end |
531.81284375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
531.81284375 |
transcript.pyannote[102].end |
532.97721875 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
531.82971875 |
transcript.pyannote[103].end |
531.84659375 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
531.98159375 |
transcript.pyannote[104].end |
533.75346875 |
transcript.whisperx[0].start |
4.975 |
transcript.whisperx[0].end |
20.29 |
transcript.whisperx[0].text |
謝謝 謝謝主席是不是來邀請衛福部邱部長來邱部長去還有食藥署食藥署王副署長王副署長委員好部長你好 |
transcript.whisperx[1].start |
22.217 |
transcript.whisperx[1].end |
44.975 |
transcript.whisperx[1].text |
還有食藥署我想今天早上報紙有頭版餐飲人員盡早前在碰食而且整個食安新制從六萬可以滑到兩億小吃攤商怨說政策憑空想像 |
transcript.whisperx[2].start |
46.597 |
transcript.whisperx[2].end |
62.151 |
transcript.whisperx[2].text |
那我想我幾個問題要請教第一個我想國人是重視食安的問題民眾在小吃攤早餐消費時常發現店家早前食早前後晚沒有洗手就直接接觸食物 |
transcript.whisperx[3].start |
63.272 |
transcript.whisperx[3].end |
79.529 |
transcript.whisperx[3].text |
那衛福部食藥署昨天發布修正食品良好衛生規範的準則特別針對夜市小吃攤還有摸前後再摸食物等這些行為做一些處罰 |
transcript.whisperx[4].start |
81.07 |
transcript.whisperx[4].end |
99.641 |
transcript.whisperx[4].text |
由於未洗手繼續處理食物容易造成汙染那違法者可處新台幣六萬元到兩億以下的罰款那我要請問高額罰金引起民眾熱議那我請問衛福部新規範有沒有宣導期 |
transcript.whisperx[5].start |
103.929 |
transcript.whisperx[5].end |
124.166 |
transcript.whisperx[5].text |
好 謝謝委員的隨行 我想我們希望跟業者一起來維護我們人們的食安有沒有宣討期我們以輔導先行一定以輔導先行 請大家安心法令檢討時有沒有徵詢過相關這些攤販職業工會他們的看法跟意見 |
transcript.whisperx[6].start |
129.572 |
transcript.whisperx[6].end |
151.254 |
transcript.whisperx[6].text |
這個部分請王副市長報告委員這個都有經過相關預告程序那你有沒有跟他們溝通過這個我們都有收到意見以後都有做相關的收納意見而已沒有溝通就對了因為很多攤商攤販他是只有一個人啦你像夜市裡面有很多就是一個人在作業那其實 |
transcript.whisperx[7].start |
152.515 |
transcript.whisperx[7].end |
179.971 |
transcript.whisperx[7].text |
我認為事前的溝通很重要不是說我們不是反對問題就是說今天這是現實的問題你很多夜市的攤商甚至於有很多都是一人在處理一人也要找錢那你當然做一些告示讓他知道說要提醒找錢的時候要洗手甚至要把手擦乾淨再做食物等等 |
transcript.whisperx[8].start |
180.791 |
transcript.whisperx[8].end |
201.678 |
transcript.whisperx[8].text |
我是不反對問題是你一定要有一個緩衝期而且要經過溝通協調才來實施我認為這才是正道部長你認不認同我認同我認為不是我們講實施就做因為你要有點緩衝而且讓這些業者知道 |
transcript.whisperx[9].start |
202.898 |
transcript.whisperx[9].end |
228.688 |
transcript.whisperx[9].text |
而且告訴他們說這是食安問題老百姓大家都重視我們不是反對只不過是你一定要有一個宣導緩衝然後提醒大家就這個東西要注意部長因為媒體報導新冠疫情升溫快篩抗病毒藥物等等這些防疫的物資出現供貨不及的這些問題 |
transcript.whisperx[10].start |
230.168 |
transcript.whisperx[10].end |
248.277 |
transcript.whisperx[10].text |
那疾管署副署長羅益君日前也表示說目前的疫苗與藥物供應這個是穩定的但藥事公會理事長黃清順呼籲政府應穩定快篩與藥品的供應那我請問會務部 |
transcript.whisperx[11].start |
250.379 |
transcript.whisperx[11].end |
268.519 |
transcript.whisperx[11].text |
這個端午連假後防疫物資抗病毒這些藥劑是否都已經陸續補足順利的撲霍到基層喔有沒有是的我們的庫存量是絕對沒有問題庫存量那你有沒有撲到基層嘛因為很多人要是到這些第一線去買買不到 |
transcript.whisperx[12].start |
270.852 |
transcript.whisperx[12].end |
286.518 |
transcript.whisperx[12].text |
這個才是問題啊不是你們庫存量的問題啊委員所提到的是快篩啦加用快篩的問題對啊疫苗 跟委員報告疫苗跟那個藥物是沒有問題譬如說我們的藥物它可能還有45萬人次 |
transcript.whisperx[13].start |
288.979 |
transcript.whisperx[13].end |
295.845 |
transcript.whisperx[13].text |
一波疫情過去大概用了18萬人次所以這個部藥物是沒有問題疫苗還有300萬劑還一直希望大家能夠趕快來打那自己說快篩這個部因為過去 |
transcript.whisperx[14].start |
305.893 |
transcript.whisperx[14].end |
329.34 |
transcript.whisperx[14].text |
說實在廠商都很多我知道啊 到最後囤積很多到最後變廢掉所以我們現在就要廠商一直趕快生產然後我們一直努力做鋪路這個幾乎每一天都在做所以我也很放心大概在六月中我們就會達到所需求量的兩倍對啦 因為你要到最基層有的人他有 |
transcript.whisperx[15].start |
330.424 |
transcript.whisperx[15].end |
353.383 |
transcript.whisperx[15].text |
疑惑到底他有沒有感染到我們建議就到基層診所因為現在的病毒實在是太多種了我們希望能夠到診所去做判斷這個應該是比較安全部長過去因為新冠疫苗接種讓疫苗救濟申請案件暴增連帶也影響到其他疫苗救濟的案件審議 |
transcript.whisperx[16].start |
354.764 |
transcript.whisperx[16].end |
373.059 |
transcript.whisperx[16].text |
的進度比如說流感疫苗卡介苗的疫苗等近年來多次在立法院引起立委關心疫苗救濟案件的審議速度那觀察受害救濟申請案件統計以111年為例一共有4813件112年降到820 |
transcript.whisperx[17].start |
379.946 |
transcript.whisperx[17].end |
392.983 |
transcript.whisperx[17].text |
820件113年降到594案件那我請問衛福部的衛福部預防接種受害救濟審議小組案件塞車的狀況是有沒有改善 |
transcript.whisperx[18].start |
394.345 |
transcript.whisperx[18].end |
421.561 |
transcript.whisperx[18].text |
那個請莊書長回來報告委員那其實我們現在這個每天就是每個月就是會召開兩次的VICP的委員會那每一次大概就是有大概有三百件一直都在改所以理論上應該是大概六七月左右這個新冠的期間所有的這個案件幾乎都可以都審查啦那目前還在加速當中因為齁是 |
transcript.whisperx[19].start |
422.962 |
transcript.whisperx[19].end |
440.25 |
transcript.whisperx[19].text |
過去12年平均每案件審查的時間它高達243.6天喔8個月喔我們現在已經減少了那我請問現在平均專案每案審查的時間有多少這個我不清楚我可以再回應你這個很重要啊 |
transcript.whisperx[20].start |
442.131 |
transcript.whisperx[20].end |
457.86 |
transcript.whisperx[20].text |
因為醫師認為說新冠疫情使嚴格的感染管制措施所留下的免疫負債造成我們對各種傳染疾病的免疫力都下降過去夏天 |
transcript.whisperx[21].start |
458.993 |
transcript.whisperx[21].end |
476.306 |
transcript.whisperx[21].text |
流感病病例比較少但有醫師認為現在的病毒流行已經沒有按時序來走使流感不再是只有秋冬的限定而出現這個流感全年化的這種現象是不是這樣子 |
transcript.whisperx[22].start |
476.986 |
transcript.whisperx[22].end |
496.743 |
transcript.whisperx[22].text |
台灣因為是說如果是屬於溫帶它比較才會有這個就是秋冬季的一個流行就是有很明顯的流行啦但是我們是屬於熱帶亞熱帶地區所以本來一年到頭就會有流感的流行只是說比較不明顯那我請問對於流感全年化的這種現象請問衛福部 |
transcript.whisperx[23].start |
498.624 |
transcript.whisperx[23].end |
514.21 |
transcript.whisperx[23].text |
流感疫苗接種時程是不是會提早到九月啊不一定一定要會在十月以後才開打應該是說我們其實這個是不是九月開打其實都有都有討論過啦你如果太早打那事實上剛剛您說的全年都流行對啊就會比較 |
transcript.whisperx[24].start |
516.191 |
transcript.whisperx[24].end |
531.045 |
transcript.whisperx[24].text |
也會比較容易就是就是你的保護力會趕快會比較快消掉所以我們現在還是希望說還是大概十月開始打至少到隔年的這個六七月之前都還有一定的保護力好啦我希望你們考慮考慮啦謝謝好謝謝林委員的資訊 |