IVOD_ID |
162295 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162295 |
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 |
2025-06-05T11:41:35+08:00 |
結束時間 |
2025-06-05T11:51:29+08:00 |
影片長度 |
00:09:54 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3f41131fcd5ae564ff840afd7c6ab9bdbbacbcf4f939c22c46063d171e8badfa1ca84830d9e0e02a5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
顏寬恒 |
委員發言時間 |
11:41:35 - 11:51:29 |
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 |
1.49909375 |
transcript.pyannote[0].end |
5.09346875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
5.39721875 |
transcript.pyannote[1].end |
18.17159375 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
22.79534375 |
transcript.pyannote[2].end |
23.50409375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
23.50409375 |
transcript.pyannote[3].end |
24.26346875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
24.65159375 |
transcript.pyannote[4].end |
26.62596875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
27.03096875 |
transcript.pyannote[5].end |
28.41471875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
29.39346875 |
transcript.pyannote[6].end |
31.82346875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
31.97534375 |
transcript.pyannote[7].end |
39.77159375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
40.19346875 |
transcript.pyannote[8].end |
46.35284375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
46.43721875 |
transcript.pyannote[9].end |
46.74096875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
46.74096875 |
transcript.pyannote[10].end |
47.09534375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
46.90971875 |
transcript.pyannote[11].end |
51.68534375 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
53.65971875 |
transcript.pyannote[12].end |
53.77784375 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
56.24159375 |
transcript.pyannote[13].end |
61.28721875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
58.92471875 |
transcript.pyannote[14].end |
59.17784375 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
61.67534375 |
transcript.pyannote[15].end |
62.01284375 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
62.51909375 |
transcript.pyannote[16].end |
74.43284375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
63.78471875 |
transcript.pyannote[17].end |
64.67909375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
66.18096875 |
transcript.pyannote[18].end |
66.51846875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
68.49284375 |
transcript.pyannote[19].end |
68.76284375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
70.14659375 |
transcript.pyannote[20].end |
71.05784375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
73.26846875 |
transcript.pyannote[21].end |
76.66034375 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
74.68596875 |
transcript.pyannote[22].end |
77.26784375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
77.26784375 |
transcript.pyannote[23].end |
87.51096875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
87.83159375 |
transcript.pyannote[24].end |
109.73534375 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
108.97596875 |
transcript.pyannote[25].end |
108.99284375 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
109.02659375 |
transcript.pyannote[26].end |
111.62534375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
109.73534375 |
transcript.pyannote[27].end |
109.75221875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
111.27096875 |
transcript.pyannote[28].end |
111.30471875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
111.30471875 |
transcript.pyannote[29].end |
121.12596875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
111.62534375 |
transcript.pyannote[30].end |
111.87846875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
120.83909375 |
transcript.pyannote[31].end |
160.34346875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
123.96096875 |
transcript.pyannote[32].end |
125.63159375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
160.54596875 |
transcript.pyannote[33].end |
170.23221875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
160.57971875 |
transcript.pyannote[34].end |
161.11971875 |
transcript.pyannote[35].speaker |
SPEAKER_03 |
transcript.pyannote[35].start |
171.12659375 |
transcript.pyannote[35].end |
174.33284375 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
174.34971875 |
transcript.pyannote[36].end |
179.34471875 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
179.85096875 |
transcript.pyannote[37].end |
180.37409375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
181.06596875 |
transcript.pyannote[38].end |
181.60596875 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
181.60596875 |
transcript.pyannote[39].end |
183.54659375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
183.34409375 |
transcript.pyannote[40].end |
200.48909375 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
185.43659375 |
transcript.pyannote[41].end |
185.45346875 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
185.47034375 |
transcript.pyannote[42].end |
185.53784375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
200.79284375 |
transcript.pyannote[43].end |
201.43409375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
202.41284375 |
transcript.pyannote[44].end |
208.75784375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
209.23034375 |
transcript.pyannote[45].end |
212.47034375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
212.89221875 |
transcript.pyannote[46].end |
229.76721875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
229.76721875 |
transcript.pyannote[47].end |
252.04221875 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
252.26159375 |
transcript.pyannote[48].end |
252.27846875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
252.27846875 |
transcript.pyannote[49].end |
267.87096875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
267.98909375 |
transcript.pyannote[50].end |
289.04909375 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
283.19346875 |
transcript.pyannote[51].end |
285.57284375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
289.28534375 |
transcript.pyannote[52].end |
299.03909375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
299.37659375 |
transcript.pyannote[53].end |
299.68034375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
299.66346875 |
transcript.pyannote[54].end |
331.05096875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
322.49534375 |
transcript.pyannote[55].end |
323.69346875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
329.51534375 |
transcript.pyannote[56].end |
329.81909375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
332.51909375 |
transcript.pyannote[57].end |
333.02534375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
333.10971875 |
transcript.pyannote[58].end |
338.79659375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
339.26909375 |
transcript.pyannote[59].end |
342.49221875 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
341.80034375 |
transcript.pyannote[60].end |
342.62721875 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
342.86346875 |
transcript.pyannote[61].end |
349.66409375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
348.63471875 |
transcript.pyannote[62].end |
350.52471875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
350.72721875 |
transcript.pyannote[63].end |
353.34284375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
353.91659375 |
transcript.pyannote[64].end |
358.69221875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
358.92846875 |
transcript.pyannote[65].end |
360.95346875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
361.37534375 |
transcript.pyannote[66].end |
361.67909375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
362.03346875 |
transcript.pyannote[67].end |
362.79284375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
362.94471875 |
transcript.pyannote[68].end |
365.54346875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
365.86409375 |
transcript.pyannote[69].end |
368.22659375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
368.86784375 |
transcript.pyannote[70].end |
376.27596875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
376.46159375 |
transcript.pyannote[71].end |
378.03096875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
378.21659375 |
transcript.pyannote[72].end |
387.37971875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
388.20659375 |
transcript.pyannote[73].end |
393.45471875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
393.91034375 |
transcript.pyannote[74].end |
394.31534375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
394.92284375 |
transcript.pyannote[75].end |
399.05721875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
399.31034375 |
transcript.pyannote[76].end |
400.76159375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
401.23409375 |
transcript.pyannote[77].end |
407.00534375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
407.35971875 |
transcript.pyannote[78].end |
407.89971875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
408.15284375 |
transcript.pyannote[79].end |
410.26221875 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
409.57034375 |
transcript.pyannote[80].end |
422.15909375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
420.99471875 |
transcript.pyannote[81].end |
424.84221875 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
425.19659375 |
transcript.pyannote[82].end |
426.58034375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
427.00221875 |
transcript.pyannote[83].end |
434.79846875 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
434.79846875 |
transcript.pyannote[84].end |
437.59971875 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
434.89971875 |
transcript.pyannote[85].end |
436.08096875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
437.59971875 |
transcript.pyannote[86].end |
437.76846875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
437.76846875 |
transcript.pyannote[87].end |
437.83596875 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
437.83596875 |
transcript.pyannote[88].end |
437.88659375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
437.88659375 |
transcript.pyannote[89].end |
437.90346875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
437.90346875 |
transcript.pyannote[90].end |
438.03846875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
438.03846875 |
transcript.pyannote[91].end |
482.80784375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
482.80784375 |
transcript.pyannote[92].end |
484.02284375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
484.61346875 |
transcript.pyannote[93].end |
486.60471875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
486.70596875 |
transcript.pyannote[94].end |
487.11096875 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
487.29659375 |
transcript.pyannote[95].end |
491.36346875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
491.34659375 |
transcript.pyannote[96].end |
491.70096875 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
491.49846875 |
transcript.pyannote[97].end |
497.40471875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
497.94471875 |
transcript.pyannote[98].end |
503.58096875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
504.30659375 |
transcript.pyannote[99].end |
509.08221875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
509.23409375 |
transcript.pyannote[100].end |
514.02659375 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
514.49909375 |
transcript.pyannote[101].end |
524.79284375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
525.23159375 |
transcript.pyannote[102].end |
525.77159375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
526.46346875 |
transcript.pyannote[103].end |
526.95284375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
527.10471875 |
transcript.pyannote[104].end |
528.30284375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
528.37034375 |
transcript.pyannote[105].end |
529.63596875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
529.68659375 |
transcript.pyannote[106].end |
533.06159375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
533.39909375 |
transcript.pyannote[107].end |
534.91784375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
534.95159375 |
transcript.pyannote[108].end |
542.25846875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
542.47784375 |
transcript.pyannote[109].end |
546.34221875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
547.13534375 |
transcript.pyannote[110].end |
548.89034375 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
548.26596875 |
transcript.pyannote[111].end |
549.51471875 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
549.64971875 |
transcript.pyannote[112].end |
576.43034375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
567.72284375 |
transcript.pyannote[113].end |
568.00971875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
576.43034375 |
transcript.pyannote[114].end |
580.93596875 |
transcript.pyannote[115].speaker |
SPEAKER_03 |
transcript.pyannote[115].start |
576.61596875 |
transcript.pyannote[115].end |
576.91971875 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
577.24034375 |
transcript.pyannote[116].end |
578.75909375 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
579.45096875 |
transcript.pyannote[117].end |
587.93909375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
587.92221875 |
transcript.pyannote[118].end |
593.37284375 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
588.96846875 |
transcript.pyannote[119].end |
589.12034375 |
transcript.pyannote[120].speaker |
SPEAKER_03 |
transcript.pyannote[120].start |
590.68971875 |
transcript.pyannote[120].end |
593.89596875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
593.57534375 |
transcript.pyannote[121].end |
594.14909375 |
transcript.whisperx[0].start |
1.57 |
transcript.whisperx[0].end |
17.316 |
transcript.whisperx[0].text |
好 謝謝主席各位列席 各位大家早我在這邊先聲明有關疫情需求的部分預算的部分我們請衛福部儘早送到立法院來我們會全力來協助主席 謝謝有請衛福部邱部長 |
transcript.whisperx[1].start |
23.73 |
transcript.whisperx[1].end |
48.361 |
transcript.whisperx[1].text |
部長早部長現在疫情升溫的現在在升溫是那很多人都在網路上面謠傳說是因為藍白的立委刪了疫苗的預算那我想要在這邊跟部長請你做一下說明就是說疫苗採購的預算是編列在基金目前根本就沒有所謂的刪減跟凍結那會不會要趁這個機會來告訴民眾不要誤信謠言是不是這樣子 部長 |
transcript.whisperx[2].start |
56.442 |
transcript.whisperx[2].end |
70.511 |
transcript.whisperx[2].text |
當然基金的財產也是公務預算補助啦其實都有互動但是這一次的基金的購買是沒有刪除的對就是疫苗防疫的部分但是在凍結剛剛你有提到1000萬的那個吼那個是業務費 |
transcript.whisperx[3].start |
71.451 |
transcript.whisperx[3].end |
87 |
transcript.whisperx[3].text |
那個部分有影響到我們對 你剛剛說的是另外一部分我現在問的部長已經解凍了啦我們要很明確不是解凍歸解凍那是另外一件事我們要說的就是疫苗採購這些部分不管是這個包括我們 |
transcript.whisperx[4].start |
88.642 |
transcript.whisperx[4].end |
105.482 |
transcript.whisperx[4].text |
審計部的這個部分也是在1213114年的也都是這個都是在這個疫苗基金裡面所以這個部分也都沒有所謂的刪減或凍結所以要在這個機會讓衛福部來說明就是說疫苗的基金 |
transcript.whisperx[5].start |
106.623 |
transcript.whisperx[5].end |
134.746 |
transcript.whisperx[5].text |
預算完全沒有凍結跟刪減對不對部長是不是那個署長要不要先回答一下我再報告一下就是有關那個公務基金公務預算補這個疫苗基金的部分原來有凍結1000萬疫苗的部分有凍結不過已經解凍了不是你剛剛提到凍結就是剛剛業務費的部分對業務費那除了之外所以應該這麼講就是說目前這個也還沒有二三讀所以根本就沒有凍結買疫苗的錢一文未減這是很明確的 |
transcript.whisperx[6].start |
135.126 |
transcript.whisperx[6].end |
155.797 |
transcript.whisperx[6].text |
那第二個就是2021年6月7號到2023年的5月1號期間因為為了要鼓勵醫療院所協助執行大規模的新冠疫苗接種作業所以政府提供每人這個公費疫苗100元的處置費另外100元額外加碼的這個獎勵金這個獎勵就是要作為醫療院所不收掛號費的一個補貼這是明確的這是對的嘛 |
transcript.whisperx[7].start |
162.161 |
transcript.whisperx[7].end |
176.509 |
transcript.whisperx[7].text |
所以現在短少的100元獎勵金的部分是因為我們衛福部這邊沒有編列這100元的獎勵金對不對那個是用特別預算 現在沒有特別預算對 所以是因為我們衛福部這邊沒有編列這100元的獎勵金對不對 |
transcript.whisperx[8].start |
181.738 |
transcript.whisperx[8].end |
192.842 |
transcript.whisperx[8].text |
因為那個要有特別預算才有啦沒有這個預算所以沒有編嘛所以不是因為預算刪減的問題是因為沒有這個預算沒有這個特別預算所以沒有編所以這樣很明確我們是在這邊要澄清這些謠言謝謝部長這部分我想還回歸正題因為 |
transcript.whisperx[9].start |
202.452 |
transcript.whisperx[9].end |
229.213 |
transcript.whisperx[9].text |
都有廉價我們的急診數你剛剛有報告上升了許多像這個是急診就診人數45.9%然後這個住院人數較前一週上漲了18.6%那所以我想在這麼高的一個就診人數的一個情況趨勢這往上升那我們衛福部會不會再一次把新冠升級為法定傳染病會不會有沒有這個 |
transcript.whisperx[10].start |
230.073 |
transcript.whisperx[10].end |
251.804 |
transcript.whisperx[10].text |
因為它本來就第四類傳染病 新委員的執行那傳染病其實是依照致死率 發生率 還有傳播速度等危害程度來分類那現在因為整個國際間 包括WHO也把這樣的新冠變成一個常規監測的方面所以目前來講還沒有到達需要去升級的地步 |
transcript.whisperx[11].start |
252.344 |
transcript.whisperx[11].end |
269.12 |
transcript.whisperx[11].text |
就是說如果有這個必要我們就會來做這樣子的一個裁判定那另外我再請教就是說我還是要提醒衛福部就快篩用藥還有邊境的檢疫事後後續的這些醫療處理這個部分我們因為你們推估從6月到7月初是疫情的高峰嘛 |
transcript.whisperx[12].start |
270.561 |
transcript.whisperx[12].end |
297.876 |
transcript.whisperx[12].text |
從五月底到八月初整體染疫人數將會上達高達170萬人次所以現在民眾都很關注我們的所有的防疫作為尤其像快篩試劑現在不足嘛馬上會補足我知道剛剛我聽到你的報告那包括這個抗毒抗病毒的藥物等等這些要讓他盡快的充足那另外我們警官署最近也跟這些我們醫界的團體舉行過會議 |
transcript.whisperx[13].start |
299.717 |
transcript.whisperx[13].end |
324.052 |
transcript.whisperx[13].text |
整個研疫的研疫新冠病情的這些防疫作為都聚焦在這個快篩試劑還有抗病毒的藥物那你剛剛都說了很多也說得很完整那我是要提醒就是說我們還是要告訴民眾要告訴民眾說如果出現了新冠疫情的病狀我們還是要如果是比較輕的病狀還是要在診所就醫診所就醫那如果像 |
transcript.whisperx[14].start |
325.372 |
transcript.whisperx[14].end |
349.886 |
transcript.whisperx[14].text |
這種症狀嚴重的還有長者跟小孩的部分才建議到醫院那確實是因為說我們現在目前COVID-19的施打情形你剛剛也有報告了所以你現在也是鼓勵民眾要盡速的來施打COVID-19對不對是這樣子的我們10月1號還沒有打的現在6個月以上就可以打最好是大家有一個問題就是美國的CDC |
transcript.whisperx[15].start |
353.968 |
transcript.whisperx[15].end |
367.779 |
transcript.whisperx[15].text |
他說如果家長和醫生同意有必要新冠疫苗仍是健康兒童的接種選項但是他這個觀點跟美國的衛生部長他日前的宣布不同調 |
transcript.whisperx[16].start |
368.922 |
transcript.whisperx[16].end |
393.077 |
transcript.whisperx[16].text |
美國的這個衛福部長在社群媒體上面發布影片說他非常高興的宣布從今天起針對健康兒童健康孕婦的新冠疫苗已從疾病管制預防中心CDC預防接種建議時程中移除所以我要請教部長說那現在我們國內在施打的疫苗都是美國的莫德納 |
transcript.whisperx[17].start |
394.98 |
transcript.whisperx[17].end |
406.638 |
transcript.whisperx[17].text |
他是一家美國的部長跟他們的CDC有不同的看法那他們連美國衛福部部長都對於他們的疫苗都有疑慮那我們衛福部 |
transcript.whisperx[18].start |
407.441 |
transcript.whisperx[18].end |
421.906 |
transcript.whisperx[18].text |
要的指引是什麼我們有堅強的防疫專家我們的任何怎麼施打包括騎乘換尾其實都有經過ACIP請教說為什麼他們的衛福部長會要求 |
transcript.whisperx[19].start |
427.068 |
transcript.whisperx[19].end |
443.584 |
transcript.whisperx[19].text |
等於是說跟他們的CDC不同調然後認為說健康的兒童跟健康的孕婦不適合施打他們的疫苗主要是因為本身美國的部長他本身也是一個反疫苗的一個人士 |
transcript.whisperx[20].start |
444.204 |
transcript.whisperx[20].end |
471.091 |
transcript.whisperx[20].text |
那再加上說他是希望說FDA美國FDA在今年10月的時候的那個就是有關健康有關兒童跟孕婦的這一塊能有更多的證據來提供所以他是希望說可以進行一些理想試驗主要是因為他是認為過去的這個很多人感染很多人這個也打了疫苗那這個評估很難做一個建議不過這個部分我們事實上 |
transcript.whisperx[21].start |
472.352 |
transcript.whisperx[21].end |
496.426 |
transcript.whisperx[21].text |
會 其實各國有各有不同的意見那我們會在收集之後在ACIP的一個我們國內ACIP的委員在做一個討論來做一個建議 以上好 謝謝署長那我再請教病床的問題部長你是醫界出身那我非常尊敬你但是像急診擁塞沒有病床這個部分我看到你們的報告書裡面是寫是 |
transcript.whisperx[22].start |
498.027 |
transcript.whisperx[22].end |
524.554 |
transcript.whisperx[22].text |
告訴我們說病床是充裕的但是我們實際知道的情況這個從這個健保署重度急救責任醫院急診及時查詢結果到6月2日子林口禪更有147人台大醫院有119人等待住院那隨著這次疫情的升溫我們醫師職業工會也都跳出來講說一切的窘境都往這個 |
transcript.whisperx[23].start |
526.694 |
transcript.whisperx[23].end |
545.168 |
transcript.whisperx[23].text |
惡化的方向演進那家屋病房人力不足人力流失而縮緊人手關閉病床那不同的醫院之間也依靠電話逐床逐院問床總是問不到願意接手的醫院那急診醫師只能感嘆的說不要生重病不要生重病那外部在這邊 |
transcript.whisperx[24].start |
547.169 |
transcript.whisperx[24].end |
575.885 |
transcript.whisperx[24].text |
有什麼不就措施我們在過年那一波其實已經建立好有三大策略兩大方向第一個就是分級分流要做好院內的病房的病床的調控要配合急診的需求還有當然提高提高相關的給付這個其實都有幫忙我相信都有幫忙那剛剛您提的這個是大概是不是禮拜一的狀況台大醫院大概禮拜一都會大概一百二十個 |
transcript.whisperx[25].start |
576.605 |
transcript.whisperx[25].end |
580.47 |
transcript.whisperx[25].text |
我們在講重症病床是比較充裕那當然就職的人士是比較多一點是有這樣子我們不要讓第一線的醫務人員我們一定會努力 |