IVOD_ID |
160189 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160189 |
日期 |
2025-04-16 |
會議資料.會議代碼 |
委員會-11-3-26-6 |
會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第6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 |
6 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第3會期社會福利及衛生環境委員會第6次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-16T09:54:03+08:00 |
結束時間 |
2025-04-16T10:09:07+08:00 |
影片長度 |
00:15:04 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f9d2e74df98279dfc9578eeea91c7544d598beef862d51bbd146475ae9ed72cdc30ece9fadaa79bc5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王育敏 |
委員發言時間 |
09:54:03 - 10:09:07 |
會議時間 |
2025-04-16T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第6次全體委員會議(事由:邀請衛生福利部部長就「面對國際經貿情勢瞬變,我國如何因應並確保藥品、醫療器材等各面向供應正常,保障國人權益。」進行專題報告,並備質詢。
【4月16日及17日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
3.49034375 |
transcript.pyannote[0].end |
4.06409375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
8.08034375 |
transcript.pyannote[1].end |
11.87721875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
16.80471875 |
transcript.pyannote[2].end |
17.31096875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
17.81721875 |
transcript.pyannote[3].end |
19.03221875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
19.28534375 |
transcript.pyannote[4].end |
19.97721875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
19.45409375 |
transcript.pyannote[5].end |
23.72346875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
23.85846875 |
transcript.pyannote[6].end |
54.14909375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
28.49909375 |
transcript.pyannote[7].end |
28.56659375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
54.55409375 |
transcript.pyannote[8].end |
59.38034375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
59.54909375 |
transcript.pyannote[9].end |
59.88659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
60.66284375 |
transcript.pyannote[10].end |
61.74284375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
61.28721875 |
transcript.pyannote[11].end |
62.35034375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
62.48534375 |
transcript.pyannote[12].end |
68.54346875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
68.72909375 |
transcript.pyannote[13].end |
73.60596875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
74.51721875 |
transcript.pyannote[14].end |
75.36096875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
76.93034375 |
transcript.pyannote[15].end |
78.34784375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
78.73596875 |
transcript.pyannote[16].end |
83.74784375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
83.96721875 |
transcript.pyannote[17].end |
85.03034375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
85.58721875 |
transcript.pyannote[18].end |
89.46846875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
89.97471875 |
transcript.pyannote[19].end |
92.37096875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
92.74221875 |
transcript.pyannote[20].end |
98.41221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
97.46721875 |
transcript.pyannote[21].end |
106.74846875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
106.81596875 |
transcript.pyannote[22].end |
110.30909375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
110.56221875 |
transcript.pyannote[23].end |
116.89034375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
116.95784375 |
transcript.pyannote[24].end |
121.75034375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
122.42534375 |
transcript.pyannote[25].end |
126.01971875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
126.76221875 |
transcript.pyannote[26].end |
127.16721875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
128.17971875 |
transcript.pyannote[27].end |
128.78721875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
128.75346875 |
transcript.pyannote[28].end |
130.71096875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
129.64784375 |
transcript.pyannote[29].end |
135.33471875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
134.82846875 |
transcript.pyannote[30].end |
146.26971875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
135.46971875 |
transcript.pyannote[31].end |
135.87471875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
146.52284375 |
transcript.pyannote[32].end |
146.77596875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
147.16409375 |
transcript.pyannote[33].end |
172.84784375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
173.35409375 |
transcript.pyannote[34].end |
174.46784375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
174.63659375 |
transcript.pyannote[35].end |
176.13846875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
176.57721875 |
transcript.pyannote[36].end |
196.57409375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
192.06846875 |
transcript.pyannote[37].end |
194.46471875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
195.86534375 |
transcript.pyannote[38].end |
198.68346875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
198.39659375 |
transcript.pyannote[39].end |
247.23284375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
200.18534375 |
transcript.pyannote[40].end |
200.89409375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
246.65909375 |
transcript.pyannote[41].end |
258.20159375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
256.34534375 |
transcript.pyannote[42].end |
256.83471875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
258.20159375 |
transcript.pyannote[43].end |
268.95096875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
267.98909375 |
transcript.pyannote[44].end |
270.04784375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
269.45721875 |
transcript.pyannote[45].end |
273.60846875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
270.82409375 |
transcript.pyannote[46].end |
279.31221875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
279.21096875 |
transcript.pyannote[47].end |
279.46409375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
279.43034375 |
transcript.pyannote[48].end |
282.90659375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
281.05034375 |
transcript.pyannote[49].end |
292.69409375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
289.89284375 |
transcript.pyannote[50].end |
293.68971875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
293.68971875 |
transcript.pyannote[51].end |
298.14471875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
297.33471875 |
transcript.pyannote[52].end |
301.72221875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
301.92471875 |
transcript.pyannote[53].end |
307.47659375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
303.25784375 |
transcript.pyannote[54].end |
303.81471875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
308.10096875 |
transcript.pyannote[55].end |
312.57284375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
311.61096875 |
transcript.pyannote[56].end |
313.73721875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
314.24346875 |
transcript.pyannote[57].end |
321.76971875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
322.03971875 |
transcript.pyannote[58].end |
322.73159375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
322.73159375 |
transcript.pyannote[59].end |
333.73409375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
333.98721875 |
transcript.pyannote[60].end |
358.92846875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
359.78909375 |
transcript.pyannote[61].end |
362.50596875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
363.09659375 |
transcript.pyannote[62].end |
365.15534375 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
368.56409375 |
transcript.pyannote[63].end |
374.03159375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
373.23846875 |
transcript.pyannote[64].end |
376.12409375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
376.81596875 |
transcript.pyannote[65].end |
378.06471875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
377.54159375 |
transcript.pyannote[66].end |
382.89096875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
380.02221875 |
transcript.pyannote[67].end |
380.39346875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
383.29596875 |
transcript.pyannote[68].end |
389.72534375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
387.29534375 |
transcript.pyannote[69].end |
388.47659375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
389.91096875 |
transcript.pyannote[70].end |
396.81284375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
392.69534375 |
transcript.pyannote[71].end |
407.03909375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
407.14034375 |
transcript.pyannote[72].end |
414.93659375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
415.44284375 |
transcript.pyannote[73].end |
435.23721875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
435.76034375 |
transcript.pyannote[74].end |
439.10159375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
439.77659375 |
transcript.pyannote[75].end |
441.97034375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
441.32909375 |
transcript.pyannote[76].end |
442.91534375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
442.91534375 |
transcript.pyannote[77].end |
442.93221875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
443.32034375 |
transcript.pyannote[78].end |
445.64909375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
446.12159375 |
transcript.pyannote[79].end |
446.99909375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
446.39159375 |
transcript.pyannote[80].end |
450.42471875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
449.63159375 |
transcript.pyannote[81].end |
450.35721875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
451.09971875 |
transcript.pyannote[82].end |
451.13346875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
451.13346875 |
transcript.pyannote[83].end |
451.60596875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
451.60596875 |
transcript.pyannote[84].end |
453.10784375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
454.10346875 |
transcript.pyannote[85].end |
464.32971875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
463.73909375 |
transcript.pyannote[86].end |
468.12659375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
468.39659375 |
transcript.pyannote[87].end |
471.88971875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
471.31596875 |
transcript.pyannote[88].end |
474.30284375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
474.31971875 |
transcript.pyannote[89].end |
474.74159375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
474.99471875 |
transcript.pyannote[90].end |
482.16659375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
481.25534375 |
transcript.pyannote[91].end |
487.39784375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
482.55471875 |
transcript.pyannote[92].end |
484.12409375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
486.38534375 |
transcript.pyannote[93].end |
498.95721875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
499.59846875 |
transcript.pyannote[94].end |
500.77971875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
500.93159375 |
transcript.pyannote[95].end |
507.69846875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
508.89659375 |
transcript.pyannote[96].end |
508.91346875 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
508.91346875 |
transcript.pyannote[97].end |
509.90909375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
509.95971875 |
transcript.pyannote[98].end |
522.66659375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
516.47346875 |
transcript.pyannote[99].end |
516.67596875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
522.49784375 |
transcript.pyannote[100].end |
528.77534375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
529.12971875 |
transcript.pyannote[101].end |
542.56221875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
542.69721875 |
transcript.pyannote[102].end |
543.23721875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
544.67159375 |
transcript.pyannote[103].end |
545.90346875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
545.98784375 |
transcript.pyannote[104].end |
546.67971875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
547.96221875 |
transcript.pyannote[105].end |
573.25784375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
574.00034375 |
transcript.pyannote[106].end |
585.03659375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
585.42471875 |
transcript.pyannote[107].end |
587.68596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
588.68159375 |
transcript.pyannote[108].end |
589.99784375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
590.21721875 |
transcript.pyannote[109].end |
598.87409375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
590.35221875 |
transcript.pyannote[110].end |
590.89221875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
598.95846875 |
transcript.pyannote[111].end |
600.88221875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
601.32096875 |
transcript.pyannote[112].end |
614.97284375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
615.24284375 |
transcript.pyannote[113].end |
623.17409375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
623.41034375 |
transcript.pyannote[114].end |
628.59096875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
628.75971875 |
transcript.pyannote[115].end |
635.42534375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
635.67846875 |
transcript.pyannote[116].end |
636.70784375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
636.94409375 |
transcript.pyannote[117].end |
638.09159375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
638.22659375 |
transcript.pyannote[118].end |
640.11659375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
640.36971875 |
transcript.pyannote[119].end |
642.88409375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
643.03596875 |
transcript.pyannote[120].end |
645.14534375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
645.60096875 |
transcript.pyannote[121].end |
647.76096875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
648.75659375 |
transcript.pyannote[122].end |
651.82784375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
652.19909375 |
transcript.pyannote[123].end |
662.98221875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
661.24409375 |
transcript.pyannote[124].end |
663.77534375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
663.77534375 |
transcript.pyannote[125].end |
665.98596875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
665.93534375 |
transcript.pyannote[126].end |
682.40534375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
682.91159375 |
transcript.pyannote[127].end |
684.95346875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
685.20659375 |
transcript.pyannote[128].end |
689.25659375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
689.61096875 |
transcript.pyannote[129].end |
697.55909375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
698.20034375 |
transcript.pyannote[130].end |
702.48659375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
703.02659375 |
transcript.pyannote[131].end |
703.76909375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
703.83659375 |
transcript.pyannote[132].end |
706.73909375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
705.22034375 |
transcript.pyannote[133].end |
708.98346875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
707.24534375 |
transcript.pyannote[134].end |
708.07221875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
709.42221875 |
transcript.pyannote[135].end |
711.86909375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
712.20659375 |
transcript.pyannote[136].end |
720.25596875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
713.15159375 |
transcript.pyannote[137].end |
713.38784375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
716.03721875 |
transcript.pyannote[138].end |
716.40846875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
718.95659375 |
transcript.pyannote[139].end |
724.55909375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
720.57659375 |
transcript.pyannote[140].end |
720.79596875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
723.76596875 |
transcript.pyannote[141].end |
729.33471875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
728.71034375 |
transcript.pyannote[142].end |
729.18284375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
729.38534375 |
transcript.pyannote[143].end |
770.94846875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
771.04971875 |
transcript.pyannote[144].end |
775.11659375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
775.30221875 |
transcript.pyannote[145].end |
778.59284375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
779.18346875 |
transcript.pyannote[146].end |
781.96784375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
781.64721875 |
transcript.pyannote[147].end |
783.43596875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
782.44034375 |
transcript.pyannote[148].end |
788.85284375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
787.31721875 |
transcript.pyannote[149].end |
792.07596875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
789.17346875 |
transcript.pyannote[150].end |
792.00846875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
792.07596875 |
transcript.pyannote[151].end |
795.09659375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
794.69159375 |
transcript.pyannote[152].end |
796.39596875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
796.32846875 |
transcript.pyannote[153].end |
814.75596875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
809.44034375 |
transcript.pyannote[154].end |
812.73096875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
815.46471875 |
transcript.pyannote[155].end |
826.14659375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
824.20596875 |
transcript.pyannote[156].end |
832.32284375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
826.38284375 |
transcript.pyannote[157].end |
827.96909375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
831.15846875 |
transcript.pyannote[158].end |
837.33471875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
837.45284375 |
transcript.pyannote[159].end |
838.68471875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
839.32596875 |
transcript.pyannote[160].end |
849.41721875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
847.84784375 |
transcript.pyannote[161].end |
855.88034375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
854.02409375 |
transcript.pyannote[162].end |
871.59096875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
859.18784375 |
transcript.pyannote[163].end |
859.22159375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
860.43659375 |
transcript.pyannote[164].end |
860.80784375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
866.20784375 |
transcript.pyannote[165].end |
867.70971875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
868.48596875 |
transcript.pyannote[166].end |
869.49846875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
871.52346875 |
transcript.pyannote[167].end |
873.04221875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
873.46409375 |
transcript.pyannote[168].end |
874.37534375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
873.75096875 |
transcript.pyannote[169].end |
874.71284375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
875.70846875 |
transcript.pyannote[170].end |
892.26284375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
877.61534375 |
transcript.pyannote[171].end |
879.18471875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
881.88471875 |
transcript.pyannote[172].end |
882.82971875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
890.92971875 |
transcript.pyannote[173].end |
896.26221875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
896.34659375 |
transcript.pyannote[174].end |
898.15221875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
897.94971875 |
transcript.pyannote[175].end |
898.08471875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
898.15221875 |
transcript.pyannote[176].end |
901.44284375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
898.72596875 |
transcript.pyannote[177].end |
900.93659375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
901.40909375 |
transcript.pyannote[178].end |
903.28221875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
903.28221875 |
transcript.pyannote[179].end |
903.41721875 |
transcript.whisperx[0].start |
8.134 |
transcript.whisperx[0].end |
10.987 |
transcript.whisperx[0].text |
好 謝謝趙偉 我們是不是有請我們邱部長部長 |
transcript.whisperx[1].start |
16.826 |
transcript.whisperx[1].end |
43.311 |
transcript.whisperx[1].text |
委員好部長好 部長這個有關於川普他要提高關稅這件事情其實是讓很多的行業都受到衝擊那對於衛福部來講其實本席覺得最重要的是在這一次的談判當中我們能不能守住國人健康作為最優先的底線而且不要把國人的健康 |
transcript.whisperx[2].start |
44.011 |
transcript.whisperx[2].end |
73.428 |
transcript.whisperx[2].text |
拿出去談判這個是重中之重部長你有沒有看過2025年美國貿易代表署他所提交的外貿的這個障礙評估報告點名台灣有幾件事都跟你有關喔是你有關注到嗎有我有看過好那我們就來探討一下這次他所提到的幾個重點第一個他竟然要求我們美豬美牛不可以再標示 |
transcript.whisperx[3].start |
74.734 |
transcript.whisperx[3].end |
91.419 |
transcript.whisperx[3].text |
這個你同意嗎好 我想我們的原則非常簡單一定以我們台灣人民的健康守護為最優先那第二個就是我們要有科學的根據來做基礎當然要符合國際的標準 |
transcript.whisperx[4].start |
92.839 |
transcript.whisperx[4].end |
101.482 |
transcript.whisperx[4].text |
我想以這樣的情況來做未來的不管是任何的一個所以部長你這樣子講我們就很擔心了因為你說符合國際的標準我這邊就特別點出來請問豬的腎臟就是我們台語講的郵寄這件事情他竟然要求我們就是應該要開放這個部分那你知道當時我們為什麼針對豬的內臟 |
transcript.whisperx[5].start |
122.769 |
transcript.whisperx[5].end |
145.664 |
transcript.whisperx[5].text |
這個特別是腎臟的部分去做一些的進食為什麼坐月子啊我就直接講了齁那個食藥署的江署長是腎臟科的教授好來食藥署署長是腎臟科教授你有贊成這個美國的豬的腎臟進口到台灣讓我們的婦女坐月子的時候可以大吃特吃沒有關係嗎好 |
transcript.whisperx[6].start |
147.885 |
transcript.whisperx[6].end |
172.301 |
transcript.whisperx[6].text |
報告委員就腎臟部分我算有研究那就我們的國人的飲食的特殊性那對於坐月子的時候攝食我們的豬腎臟那這個豬腰子特別是麻油麻油腰子那我們特殊的情形下我們也精算過相關的可能的潛在的風險所以就兩個層次第一個就是 |
transcript.whisperx[7].start |
173.562 |
transcript.whisperx[7].end |
192.663 |
transcript.whisperx[7].text |
剛才提到的標示的問題的部分那我們的標示目前是一體私用豬肉的部分是不跟國內國外任何國家一律標示那這樣子的做法其實在美國提出來的議題當中其實我們沒有特別針對什麼做歧視的所以這個部分是我們不會退讓嗎 |
transcript.whisperx[8].start |
194.105 |
transcript.whisperx[8].end |
214.384 |
transcript.whisperx[8].text |
那很重要的一件事情是對於你要回答我們是不是堅持還是會繼續標示我們現在既定的就是做標示這件事情我覺得未來我們國內呢我們非常非常鼓勵我們積極的去持續的標示這件事情是我們對於國內相關的產業能夠持續的支持的一個很重要的一點那就關於剛才提到第二點 |
transcript.whisperx[9].start |
214.964 |
transcript.whisperx[9].end |
235.824 |
transcript.whisperx[9].text |
所謂動物殘餘裡面的腎臟有更嚴格的標準裡面因為我們盤點過也算過精算過裡面的數字我們了解它的整個殘餘的過程所以我們會基於科學的基礎因為是要用風險評估的一個基礎那有必要的時候我可以協助做很精細的一個計算我們整體的曝露量 |
transcript.whisperx[10].start |
236.785 |
transcript.whisperx[10].end |
247.132 |
transcript.whisperx[10].text |
讓國人在面對食品安全國外的相關進口的食品的時候了解它潛在的風險是怎麼樣這是我可以做得到的地方跟委員做進一步的報告我是說美方這樣子要求我們有要退讓嗎還是維持原來的我們的一個 |
transcript.whisperx[11].start |
254.277 |
transcript.whisperx[11].end |
272.414 |
transcript.whisperx[11].text |
範定的標準跟規定豬的腎臟你有要開放嗎我們針對食品安全世界都是用WHO或者是FL Codex其實用同樣的標準還有食用量的問題啊 署長還有我們的飲食文化所以當時為什麼對於豬腎臟特別提出來就是因為我們的飲食文化比較特殊啊 |
transcript.whisperx[12].start |
279.7 |
transcript.whisperx[12].end |
306.495 |
transcript.whisperx[12].text |
這個一定要納入考量啊所以你們現在的立場我們有把相關的基準其實都給我們這個談判的一個過程當中我們可以很好我們的建議我們對於它整個風險的部分其實我們特別提出來你們已經有給談判代表一個你們的建議了嗎我們有特別提到我們過去的一個風險的一個情形歷史上的因素所以你們的最終的建議是什麼就是維持現行的做法不用調整還是你們是持一個彈性可以讓他們去談 |
transcript.whisperx[13].start |
308.294 |
transcript.whisperx[13].end |
333.408 |
transcript.whisperx[13].text |
因為我們是以它的數字它的風險的鋪路這個署長你回答比較直接一點告訴我你們衛福部的立場到底是什麼當美國提出這樣的貿易障礙報告的時候我們的底線是什麼我們堅持的原則是什麼我們的底線就是以科學評估出來的數字當作是一個基準來做雙方去做最重要的談判的基準事實上目前我們能夠做的也是只有這一點 |
transcript.whisperx[14].start |
334.048 |
transcript.whisperx[14].end |
358.226 |
transcript.whisperx[14].text |
我覺得你們缺乏一個態度就是捍衛國人的健康你們講的這樣子就是模糊以對然後說什麼標準什麼標準就一句話就可以結束嗎如果過去我們認為這個是對的即使美國他提出了貿易障礙報告我們應該站在國人的健康的原則上面就是我們維持我們一貫的標準這個是我們不會去退讓的底線這句話不敢講嗎 |
transcript.whisperx[15].start |
359.947 |
transcript.whisperx[15].end |
364.491 |
transcript.whisperx[15].text |
還是你們根本就是鬆動了 所以才不敢講因為美國的壓力太大了報導委員 我們這邊其實是會計算我們國人設施的一個特殊所以要不要維持原來的標準嘛 我就問這句話嘛我們過去已經執行好多年了那是不是要繼續往下執行 就這樣就好 |
transcript.whisperx[16].start |
383.268 |
transcript.whisperx[16].end |
406.553 |
transcript.whisperx[16].text |
以科學的評估出來的標準當作是談判的基礎那你有沒有改變嗎因為他這萊克多巴胺局說以前交感神經的事物在哪裡都是一樣的我只是要行政部門一個答案那部長你回答好了我覺得署長的回答就是沒有辦法讓外界很清楚就是一個你的底線是什麼過去我們都 |
transcript.whisperx[17].start |
407.293 |
transcript.whisperx[17].end |
425.447 |
transcript.whisperx[17].text |
都守住這一個標準這一次美國貿易代表署他們又提出來了貿易障礙報告我們要退讓了嗎我想我剛剛再重複一下我想政府以及我們衛福部一樣都絕對是堅守人民的健康為最重要的一個立場 |
transcript.whisperx[18].start |
426.267 |
transcript.whisperx[18].end |
437.637 |
transcript.whisperx[18].text |
那剛剛署長也有提到我們提供我們衛福部是以專業的角色提供了科學的分析風險的一個分析給我們那個談判的團隊那你有沒有改變你的標準嗎我們的標準就是依照跟過去都一模一樣嗎還是你們有鬆動你們有沒有改變我在問的是這個嘛 |
transcript.whisperx[19].start |
454.144 |
transcript.whisperx[19].end |
468.43 |
transcript.whisperx[19].text |
我們是國人要知道是說你現在是不是還是繼續守住過去以來你們的標準然後你們態度立場還是要去限制我想政府對於人民的健康的守護是絕對不會鬆動的好你就是這句話不會鬆動這個才是重點不會鬆動對人民健康維護的決心好 |
transcript.whisperx[20].start |
475.072 |
transcript.whisperx[20].end |
498.75 |
transcript.whisperx[20].text |
所以部長你這句話我要的就是這句話就是要非常明確的一個底線跟立場那所以另外一個問題就是所以當然就是要依照基改食品依照當然就是風險評估還有科學這過去都評估過了所以才會做出政策所以我們過去都已經評估過了還有加上我們的文化因素所以才會是訂定這樣的一個標準那另外一個玉米跟大豆的基改 |
transcript.whisperx[21].start |
499.651 |
transcript.whisperx[21].end |
507.486 |
transcript.whisperx[21].text |
的這一些食品他也覺得不可以有兩種稅號應該要全面的解禁這件事情你們的態度跟立場是什麼 |
transcript.whisperx[22].start |
508.936 |
transcript.whisperx[22].end |
528.685 |
transcript.whisperx[22].text |
有鬆豆嗎就我們現在對基因改造的玉米大豆這部分是列在食品安全管理法內的所以在食品安全管理法沒有在修正之前我們的是依法的行政來執行那會不會因為美國的壓力你們自己就要提出修法要去修食安法裡面的第24條現在24條裡面我們是很明確的規定吼含有 |
transcript.whisperx[23].start |
532.927 |
transcript.whisperx[23].end |
542.911 |
transcript.whisperx[23].text |
基改食品的這個原料成分都是要標示的未來你們會不會因為美方的壓力你們自己就提出修法要把這一條改掉了會不會你們的底線是什麼會會不會 |
transcript.whisperx[24].start |
548.018 |
transcript.whisperx[24].end |
572.907 |
transcript.whisperx[24].text |
我想針對基因改造相關的食品這個議題其實在先進的國家目前在叫基因編輯非常精準的農業的部分那個部分可能是在跨在另外一個農業部的裡面的專業底下所以在不同的一個時空背景底下會不會有進一步的一個調整這目前我們在食安法裡面24條的列的是條列是非常非常清楚的我們是依照上面條列的在執行 |
transcript.whisperx[25].start |
574.059 |
transcript.whisperx[25].end |
587.284 |
transcript.whisperx[25].text |
就是將來即使談判完之後你們敢不敢保證這一條衛福部的立場是不會鬆動的在食安法裡面現行的規定不可能再去提出修法的改變你們基本的態度跟立場是什麼 部長 |
transcript.whisperx[26].start |
588.735 |
transcript.whisperx[26].end |
604.652 |
transcript.whisperx[26].text |
你現在敢回答嗎還是不敢一切的一個決策我想政府跟衛福部都一樣真的還是考慮的最重要的還是一定要守護人民的健康好 守護人民的健康不要因為政治壓力而轉彎為什麼我在這邊要問得這麼的清楚 |
transcript.whisperx[27].start |
607.995 |
transcript.whisperx[27].end |
635.323 |
transcript.whisperx[27].text |
因為如果我們看到從蔡英文總統到賴清德總統基本上兩個總統的立場就不一樣了蔡英文總統的時候他就是落實食品標示食品來源國到了賴清德總統的時候他主動提到他要排除非關稅貿易障礙而剛剛我讓你看到的這個由美國他的貿易代表所提出來的報告他就是認定剛剛講的 |
transcript.whisperx[28].start |
637.183 |
transcript.whisperx[28].end |
646.99 |
transcript.whisperx[28].text |
這一些是關稅貿易障礙但我們的賴總統說要排除所以當然國人就很擔心啊不同的總統立場不一樣所以當賴總統說要開放的時候部長你敢反對嗎 |
transcript.whisperx[29].start |
652.216 |
transcript.whisperx[29].end |
675.9 |
transcript.whisperx[29].text |
我想我歷任兩任的總統我都很瞭解他們對於人民的健康的維護絕對是不遺餘力這是沒有變的所以你對賴總統有信心好當然有信心好那我希望我們是可以捍衛住因為我現在看到賴總統態度是鬆動的接下來我就問這個藥品跟醫材的部分現在美方 |
transcript.whisperx[30].start |
676.52 |
transcript.whisperx[30].end |
694.856 |
transcript.whisperx[30].text |
還沒有公佈他關於藥品的這個關稅但是我們看到事實上我們跟美國的這個藥品的相關進出口的情況我們對美國是逆差其實我們從美方進口的藥品還比較多我們是逆差那出現逆差又不是順差的情況他還要再提高我們的關稅 部長這樣合理嗎 |
transcript.whisperx[31].start |
698.243 |
transcript.whisperx[31].end |
724.741 |
transcript.whisperx[31].text |
目前藥品還沒有還是免關稅啊但是他說藥品的部分下一步會不會在這個談但是我們我們已變應變嘛我們已經過去我們已經很好的一個體系在應變了嘛所以基本上我們是可以迎接任何的挑戰所以也不應該再加關稅對不對因為基本上現在美國進口到我們的藥品還比較多我們當然盡量爭取 |
transcript.whisperx[32].start |
727.183 |
transcript.whisperx[32].end |
733.19 |
transcript.whisperx[32].text |
互惠跟三養但是最近這個議題行政院編的880億裡面我們的衛福部其實是零預算就是在各部會的預算裡面你們沒有被安排那萬一在我們的一些相關的藥廠他們受到衝擊的時候需要補助的時候 |
transcript.whisperx[33].start |
747.346 |
transcript.whisperx[33].end |
750.307 |
transcript.whisperx[33].text |
部長你錢從哪裡來為什麼獨漏我們的衛福部他忽略了這個整個關稅之戰可能對於藥品類也會產生衝擊從原料的部分的成本的提高然後到後面的這一些我們的進出口可能受到衝擊為什麼獨漏衛福部衛福部在這一波裡面你們是話外之地沒有關係 |
transcript.whisperx[34].start |
771.535 |
transcript.whisperx[34].end |
789.711 |
transcript.whisperx[34].text |
謝謝委員的垂行那我想社會的挑戰國際的挑戰是一波一波的那第一波裡面就沒有藥品這個部分你覺得你們從幾時比較想當然而且我們也不會有缺藥的也沒有缺藥已經那如果萬一有到藥品的時候你的錢要從哪裡來 |
transcript.whisperx[35].start |
792.253 |
transcript.whisperx[35].end |
814.516 |
transcript.whisperx[35].text |
我相信政府有必要政府就會像今年 今年一樣能夠給不管是在我們的健保的成長率或者是公務預算的補助我相信政府都會準備好那至於現在就沒有這個問題所以大家也不要過度擔心我們已經都 我們要提早做好風險的管控就是因為我們做好提早的準備所以才不用擔心 |
transcript.whisperx[36].start |
816.066 |
transcript.whisperx[36].end |
838.551 |
transcript.whisperx[36].text |
你們是連預算都沒有準備所以我才很擔心啦這個我覺得還是要好好的去因應啦現在第一波的時候行政院是沒有想到這一塊所以也沒有給你們錢所以我今天早上已經談很久就是我們不管是在藥品醫材所以我只問你啦如果有衝擊到的時候你的預算從哪裡來880億沒裂魂啦那你的錢要從哪裡來你告訴大家就好 |
transcript.whisperx[37].start |
839.346 |
transcript.whisperx[37].end |
860.458 |
transcript.whisperx[37].text |
我想我們就要看他的到底長的量整個國際的情勢的一個變化我們隨時都有人家其他部會勞動部也有一百多億就是傳在那裡農業部也有一百多億放在那裡但是衛福部是沒有提到每一個預算都是有他要去用的地方那我們現在目前在要價這個部分 |
transcript.whisperx[38].start |
863.297 |
transcript.whisperx[38].end |
872.711 |
transcript.whisperx[38].text |
至少在第一個階段裡面我們目前你們覺得不會受衝擊不是不會受衝擊是足可應付衝擊的那你是用你健保的錢嗎你的錢從哪裡來 |
transcript.whisperx[39].start |
878.385 |
transcript.whisperx[39].end |
899.864 |
transcript.whisperx[39].text |
因為健保的成長率今年也比較高所以我們比較有空間來做成長但如果有必要會去影響到健保我相信我們政府絕對會沒有把握去爭取到預算就對了但是你現在其實沒有880億是還沒拿到錢因為低階段不會有影響我要確定的就是這個好謝謝謝謝翁委員 |