IVOD_ID |
160657 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160657 |
日期 |
2025-04-24 |
會議資料.會議代碼 |
委員會-11-3-26-7 |
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7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 |
7 |
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7次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-24T11:47:58+08:00 |
結束時間 |
2025-04-24T12:03:30+08:00 |
影片長度 |
00:15:32 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5e1f7c3e1748c6e520b972523486ade79742596ee20a55b8840241ee498f319ad197f29790cd35605ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
黃秀芳 |
委員發言時間 |
11:47:58 - 12:03:30 |
會議時間 |
2025-04-24T09:00:00+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7次全體委員會議(事由:邀請衛生福利部部長、農業部次長、經濟部次長、外交部次長、行政院經貿談判辦公室副總談判代表、行政院食品安全辦公室主任針對「美豬、美牛進口零關稅且如何保障國人食品安全及農民權益」進行專題報告,並備質詢。
【4月23日及24日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.06471875 |
transcript.pyannote[0].end |
0.70596875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
5.66721875 |
transcript.pyannote[1].end |
7.08471875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
13.07534375 |
transcript.pyannote[2].end |
13.54784375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
13.83471875 |
transcript.pyannote[3].end |
40.14284375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
41.22284375 |
transcript.pyannote[4].end |
55.39784375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
55.65096875 |
transcript.pyannote[5].end |
64.37534375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
64.67909375 |
transcript.pyannote[6].end |
69.10034375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
69.85971875 |
transcript.pyannote[7].end |
77.47034375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
77.57159375 |
transcript.pyannote[8].end |
82.58346875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
82.92096875 |
transcript.pyannote[9].end |
84.28784375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
84.65909375 |
transcript.pyannote[10].end |
100.21784375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
100.69034375 |
transcript.pyannote[11].end |
100.99409375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
101.88846875 |
transcript.pyannote[12].end |
111.57471875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
111.87846875 |
transcript.pyannote[13].end |
112.78971875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
113.58284375 |
transcript.pyannote[14].end |
117.31221875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
117.76784375 |
transcript.pyannote[15].end |
120.80534375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
121.27784375 |
transcript.pyannote[16].end |
129.32721875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
130.17096875 |
transcript.pyannote[17].end |
150.60659375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
131.77409375 |
transcript.pyannote[18].end |
132.28034375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
134.13659375 |
transcript.pyannote[19].end |
135.80721875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
150.92721875 |
transcript.pyannote[20].end |
158.89221875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
159.53346875 |
transcript.pyannote[21].end |
174.24846875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
174.09659375 |
transcript.pyannote[22].end |
176.03721875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
176.64471875 |
transcript.pyannote[23].end |
180.13784375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
180.64409375 |
transcript.pyannote[24].end |
181.77471875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
182.02784375 |
transcript.pyannote[25].end |
182.04471875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
182.04471875 |
transcript.pyannote[26].end |
183.54659375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
182.71971875 |
transcript.pyannote[27].end |
190.07721875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
188.23784375 |
transcript.pyannote[28].end |
191.39346875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
191.44409375 |
transcript.pyannote[29].end |
193.58721875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
193.58721875 |
transcript.pyannote[30].end |
198.66659375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
194.78534375 |
transcript.pyannote[31].end |
197.11409375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
197.62034375 |
transcript.pyannote[32].end |
200.59034375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
199.02096875 |
transcript.pyannote[33].end |
199.39221875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
200.05034375 |
transcript.pyannote[34].end |
200.35409375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
200.94471875 |
transcript.pyannote[35].end |
209.46659375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
211.13721875 |
transcript.pyannote[36].end |
216.09846875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
216.16596875 |
transcript.pyannote[37].end |
216.19971875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
216.19971875 |
transcript.pyannote[38].end |
222.73034375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
216.21659375 |
transcript.pyannote[39].end |
216.28409375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
216.30096875 |
transcript.pyannote[40].end |
216.45284375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
216.57096875 |
transcript.pyannote[41].end |
216.58784375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
223.65846875 |
transcript.pyannote[42].end |
225.70034375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
226.34159375 |
transcript.pyannote[43].end |
227.65784375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
228.43409375 |
transcript.pyannote[44].end |
228.45096875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
228.45096875 |
transcript.pyannote[45].end |
228.83909375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
228.50159375 |
transcript.pyannote[46].end |
230.25659375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
230.98221875 |
transcript.pyannote[47].end |
234.89721875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
232.87221875 |
transcript.pyannote[48].end |
232.90596875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
232.92284375 |
transcript.pyannote[49].end |
233.32784375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
235.08284375 |
transcript.pyannote[50].end |
238.66034375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
239.35221875 |
transcript.pyannote[51].end |
240.34784375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
241.25909375 |
transcript.pyannote[52].end |
246.05159375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
246.64221875 |
transcript.pyannote[53].end |
250.97909375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
251.31659375 |
transcript.pyannote[54].end |
251.78909375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
251.78909375 |
transcript.pyannote[55].end |
253.99971875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
254.40471875 |
transcript.pyannote[56].end |
256.75034375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
257.99909375 |
transcript.pyannote[57].end |
258.87659375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
258.30284375 |
transcript.pyannote[58].end |
264.96846875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
264.96846875 |
transcript.pyannote[59].end |
265.12034375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
265.12034375 |
transcript.pyannote[60].end |
265.32284375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
265.32284375 |
transcript.pyannote[61].end |
267.90471875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
265.40721875 |
transcript.pyannote[62].end |
265.77846875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
268.90034375 |
transcript.pyannote[63].end |
271.56659375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
271.56659375 |
transcript.pyannote[64].end |
272.68034375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
272.91659375 |
transcript.pyannote[65].end |
275.70096875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
275.97096875 |
transcript.pyannote[66].end |
313.19721875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
278.23221875 |
transcript.pyannote[67].end |
278.60346875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
278.60346875 |
transcript.pyannote[68].end |
278.62034375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
280.89846875 |
transcript.pyannote[69].end |
281.40471875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
296.00159375 |
transcript.pyannote[70].end |
297.25034375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
302.12721875 |
transcript.pyannote[71].end |
302.54909375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
313.19721875 |
transcript.pyannote[72].end |
325.31346875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
313.26471875 |
transcript.pyannote[73].end |
313.31534375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
325.88721875 |
transcript.pyannote[74].end |
332.33346875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
332.33346875 |
transcript.pyannote[75].end |
334.61159375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
335.06721875 |
transcript.pyannote[76].end |
340.80471875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
336.04596875 |
transcript.pyannote[77].end |
336.50159375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
341.15909375 |
transcript.pyannote[78].end |
342.57659375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
342.42471875 |
transcript.pyannote[79].end |
355.16534375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
352.48221875 |
transcript.pyannote[80].end |
352.95471875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
354.82784375 |
transcript.pyannote[81].end |
360.66659375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
360.61596875 |
transcript.pyannote[82].end |
361.62846875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
360.83534375 |
transcript.pyannote[83].end |
361.64534375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
361.64534375 |
transcript.pyannote[84].end |
361.79721875 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
361.84784375 |
transcript.pyannote[85].end |
387.49784375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
375.14534375 |
transcript.pyannote[86].end |
375.75284375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
376.39409375 |
transcript.pyannote[87].end |
376.91721875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
387.16034375 |
transcript.pyannote[88].end |
424.11659375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
424.58909375 |
transcript.pyannote[89].end |
435.57471875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
435.99659375 |
transcript.pyannote[90].end |
452.23034375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
452.77034375 |
transcript.pyannote[91].end |
458.92971875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
459.65534375 |
transcript.pyannote[92].end |
475.72034375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
475.21409375 |
transcript.pyannote[93].end |
478.85909375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
477.76221875 |
transcript.pyannote[94].end |
481.39034375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
481.89659375 |
transcript.pyannote[95].end |
492.64596875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
481.99784375 |
transcript.pyannote[96].end |
482.38596875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
492.88221875 |
transcript.pyannote[97].end |
493.38846875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
493.38846875 |
transcript.pyannote[98].end |
493.47284375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
493.47284375 |
transcript.pyannote[99].end |
493.60784375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
493.60784375 |
transcript.pyannote[100].end |
493.99596875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
493.99596875 |
transcript.pyannote[101].end |
496.84784375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
496.93221875 |
transcript.pyannote[102].end |
508.10346875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
501.21846875 |
transcript.pyannote[103].end |
501.70784375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
504.47534375 |
transcript.pyannote[104].end |
506.11221875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
508.08659375 |
transcript.pyannote[105].end |
519.79784375 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
514.88721875 |
transcript.pyannote[106].end |
514.93784375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
514.93784375 |
transcript.pyannote[107].end |
515.22471875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
515.22471875 |
transcript.pyannote[108].end |
515.25846875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
517.70534375 |
transcript.pyannote[109].end |
538.27596875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
537.93846875 |
transcript.pyannote[110].end |
538.34346875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
538.29284375 |
transcript.pyannote[111].end |
540.09846875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
538.36034375 |
transcript.pyannote[112].end |
538.37721875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
539.27159375 |
transcript.pyannote[113].end |
543.16971875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
541.43159375 |
transcript.pyannote[114].end |
548.18159375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
547.06784375 |
transcript.pyannote[115].end |
557.93534375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
549.19409375 |
transcript.pyannote[116].end |
552.50159375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
552.75471875 |
transcript.pyannote[117].end |
553.78409375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
558.34034375 |
transcript.pyannote[118].end |
570.20346875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
570.50721875 |
transcript.pyannote[119].end |
573.29159375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
573.59534375 |
transcript.pyannote[120].end |
574.30409375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
574.59096875 |
transcript.pyannote[121].end |
579.29909375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
577.93221875 |
transcript.pyannote[122].end |
577.96596875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
579.68721875 |
transcript.pyannote[123].end |
581.35784375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
581.37471875 |
transcript.pyannote[124].end |
581.44221875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
581.44221875 |
transcript.pyannote[125].end |
581.56034375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
581.56034375 |
transcript.pyannote[126].end |
583.48409375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
581.59409375 |
transcript.pyannote[127].end |
581.86409375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
583.50096875 |
transcript.pyannote[128].end |
614.75346875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
589.50846875 |
transcript.pyannote[129].end |
591.44909375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
613.63971875 |
transcript.pyannote[130].end |
619.03971875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
615.17534375 |
transcript.pyannote[131].end |
622.73534375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
622.73534375 |
transcript.pyannote[132].end |
623.79846875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
623.39346875 |
transcript.pyannote[133].end |
624.00096875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
624.00096875 |
transcript.pyannote[134].end |
624.32159375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
625.23284375 |
transcript.pyannote[135].end |
631.49346875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
631.49346875 |
transcript.pyannote[136].end |
632.01659375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
632.01659375 |
transcript.pyannote[137].end |
632.21909375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
632.21909375 |
transcript.pyannote[138].end |
638.86784375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
636.75846875 |
transcript.pyannote[139].end |
637.66971875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
638.86784375 |
transcript.pyannote[140].end |
645.55034375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
639.40784375 |
transcript.pyannote[141].end |
639.76221875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
645.46596875 |
transcript.pyannote[142].end |
663.33659375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
664.04534375 |
transcript.pyannote[143].end |
693.45846875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
693.93096875 |
transcript.pyannote[144].end |
731.42721875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
731.98409375 |
transcript.pyannote[145].end |
745.73721875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
745.90596875 |
transcript.pyannote[146].end |
755.33909375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
755.91284375 |
transcript.pyannote[147].end |
766.15596875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
765.58221875 |
transcript.pyannote[148].end |
768.34971875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
766.67909375 |
transcript.pyannote[149].end |
768.23159375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
768.85596875 |
transcript.pyannote[150].end |
770.69534375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
770.91471875 |
transcript.pyannote[151].end |
791.90721875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
789.91596875 |
transcript.pyannote[152].end |
790.27034375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
792.02534375 |
transcript.pyannote[153].end |
867.33846875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
820.03784375 |
transcript.pyannote[154].end |
820.12221875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
848.91096875 |
transcript.pyannote[155].end |
849.21471875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
862.05659375 |
transcript.pyannote[156].end |
862.42784375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
867.28784375 |
transcript.pyannote[157].end |
882.50909375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
875.67471875 |
transcript.pyannote[158].end |
875.72534375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
881.41221875 |
transcript.pyannote[159].end |
890.10284375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
890.10284375 |
transcript.pyannote[160].end |
897.02159375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
892.00971875 |
transcript.pyannote[161].end |
892.70159375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
894.72659375 |
transcript.pyannote[162].end |
895.33409375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
897.79784375 |
transcript.pyannote[163].end |
900.21096875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
897.89909375 |
transcript.pyannote[164].end |
898.43909375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
900.36284375 |
transcript.pyannote[165].end |
904.21034375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
904.90221875 |
transcript.pyannote[166].end |
927.95346875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
906.52221875 |
transcript.pyannote[167].end |
907.48409375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
910.35284375 |
transcript.pyannote[168].end |
910.52159375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
918.97596875 |
transcript.pyannote[169].end |
919.11096875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
919.24596875 |
transcript.pyannote[170].end |
919.48221875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
920.34284375 |
transcript.pyannote[171].end |
920.44409375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
927.95346875 |
transcript.pyannote[172].end |
929.64096875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
928.47659375 |
transcript.pyannote[173].end |
931.07534375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
931.32846875 |
transcript.pyannote[174].end |
931.37909375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
931.37909375 |
transcript.pyannote[175].end |
933.01596875 |
transcript.whisperx[0].start |
5.98 |
transcript.whisperx[0].end |
6.381 |
transcript.whisperx[0].text |
謝謝主席 我們請部長 |
transcript.whisperx[1].start |
13.1 |
transcript.whisperx[1].end |
36.856 |
transcript.whisperx[1].text |
委員好部長我想請教因為今天非常大的一個新聞就是衛福部在推動醫療服務國際化轉型推動計畫那從2022年開始到現在我不知道說到底成效是怎樣那我們看到今天的這一則新聞我一看到之後我就覺得非常的訝異就是說這個 |
transcript.whisperx[2].start |
41.617 |
transcript.whisperx[2].end |
66.308 |
transcript.whisperx[2].text |
這個魔法牙醫診所從這個2022年到2023年短短6個月就申請600多件就是這個從國外的民眾然後到台灣來就醫那後面發生這個問題是移民署這邊這個發現的啦那我想請教就是說衛福部這一邊針對這個計畫 |
transcript.whisperx[3].start |
70.29 |
transcript.whisperx[3].end |
90.144 |
transcript.whisperx[3].text |
從一開始到現在到底有幾個這個醫療就是醫療院所有申請再來說你們衛福部自己本身有發現這樣的一個問題到底是有幾家或者是你們完全都沒有發現然後是內政部移民署發現說這個從國外進來從中國進來的這個要來就醫的人這麼多而且這麼密集 |
transcript.whisperx[4].start |
95.848 |
transcript.whisperx[4].end |
115.455 |
transcript.whisperx[4].text |
然後才自己 移民署自己調查那你們完全都不知道嗎好 雖然的關心那個本來這個是一個好意啦 一個人道的一個主義嘛能夠必須要來台灣這麼優秀的醫療 |
transcript.whisperx[5].start |
118.024 |
transcript.whisperx[5].end |
138.709 |
transcript.whisperx[5].text |
如果能夠幫助當然也是因為這樣子所以有開放原來是衛福部在主政後來在111年剛剛你也提到就委託其實是私協來做可是你們不需要管理嗎我們提供當然要管理然後那邊是提供一個 |
transcript.whisperx[6].start |
140.438 |
transcript.whisperx[6].end |
155.871 |
transcript.whisperx[6].text |
原則給移民署那邊應該去核定去核定是同意不同意那個應該不是MET是那個移民署合併所以移民署那邊會有統計表那他在5月的時候統計出來發現這個診所這個 |
transcript.whisperx[7].start |
159.645 |
transcript.whisperx[7].end |
180.038 |
transcript.whisperx[7].text |
牙醫診所自2022年12月到5月短短的6個月就申請了600多件所以在移民署的管理小組覺得有異就戳查所以當時有沒有通知你們在他們發現有異常的時候有沒有通知你們 |
transcript.whisperx[8].start |
181.06 |
transcript.whisperx[8].end |
208.635 |
transcript.whisperx[8].text |
所以你們那時候是做什麼樣的處置我們5月17號就馬上暫停該診所的資格所以5月是2023年的5月2023年的5月一發現就停止他們在申請國外的資格到現在都沒有恢復那我想請教除了這一家魔法牙醫診所之外那還有其他的醫療院所有類似這樣的一個狀況嗎 |
transcript.whisperx[9].start |
211.175 |
transcript.whisperx[9].end |
239.803 |
transcript.whisperx[9].text |
那當然以現況來講是非常足按去好好的審查我只想要問一下就是說除了這一家那還有沒有其他家有類似這樣的一個狀況嗯 有沒有部長 另外有一家移民署也提出有一家 也有去處理嘛所以你們都是被動的被動被告知的是不是這樣子 |
transcript.whisperx[10].start |
241.314 |
transcript.whisperx[10].end |
267.33 |
transcript.whisperx[10].text |
因為申請是向移民署申請,我們給他一個規範啦就是醫療上的規範是提供給移民署去審查那現在是主案審查所以你們也是被告知被移民署告知你們,你們才知道有這樣的一個事情你們也不會自己主動去查應該是移民署收集 |
transcript.whisperx[11].start |
269.025 |
transcript.whisperx[11].end |
295.15 |
transcript.whisperx[11].text |
申請 請醫事室回答跟委員報告目前就是衛福部裡面這邊只是說醫療機構有沒有資格可以去幫就是國外的民眾申請醫療簽證那醫療簽證可可就是說我們通過醫療機構可以幫他申請這樣的醫療簽證以後他們接下來的動作就是如果說有國際的病人需求的時候他們會在移民署的網站去登錄 |
transcript.whisperx[12].start |
297.07 |
transcript.whisperx[12].end |
324.498 |
transcript.whisperx[12].text |
說哪個病人要來需要醫療簽證然後他什麼時候會到大概什麼時候期間那所以說如果說移民署發現說這個可能有一點異常的數字的時候他到時候就會通知衛福部這邊可能去共同聯合去會勘跟那個瞭解好那我要問部長除了這一家魔法牙醫診所之外那移民署這邊還有沒有告知你們還有其他的醫療院所有類似的這樣一個狀況 |
transcript.whisperx[13].start |
326.313 |
transcript.whisperx[13].end |
340.391 |
transcript.whisperx[13].text |
這幾年當中就是針對異常的部分大概是有一家是醫院有一家是另外一家診所所以到目前為止就只有三家有有類似的這樣有異常有類似這樣的一個狀況其他都還好 |
transcript.whisperx[14].start |
341.272 |
transcript.whisperx[14].end |
360.533 |
transcript.whisperx[14].text |
是確定是這樣子嗎我們目前醫療可以做醫療簽證的只有規定是28類的疾病才可以幫那個醫療機構可以幫病人簽那個醫療簽證所以目前就是已在這28個可是我們看到這個魔法牙醫診所他只是純粹牙齒的洗牙或者是美白這個也 |
transcript.whisperx[15].start |
361.974 |
transcript.whisperx[15].end |
386.395 |
transcript.whisperx[15].text |
跟委員報告不好意思就是說當初我們這28類裡面其中因為這個案件我們就是會同那個口腔師跟營醫師有重新修正這個類別更嚴謹的疾病類別裡面把它寫得更清楚所以我重新來公告這一項的牙科關於口腔的疾病別是屬於更急性而且是比較嚴重的程度之下的他才可以做這樣的醫療簽證 |
transcript.whisperx[16].start |
388.076 |
transcript.whisperx[16].end |
411.011 |
transcript.whisperx[16].text |
我今天看到這則新聞我真的是嚇一跳就是說當然是剛剛部長講的就是說這個台灣的這個醫療服務品質應該在國際上應該是數一數二的大家公認是非常好的那如果說我們在推動這個醫療服務國際化轉型推動計畫如果會有這樣的一個疑慮或者是會有國安上的問題 |
transcript.whisperx[17].start |
413.012 |
transcript.whisperx[17].end |
434.721 |
transcript.whisperx[17].text |
真的我看到這個就是說短短時間來了這個六七百人那這六七百人在這個診所上面也完全沒有病例或者病例完全是空白那怎麼可能會讓他有這樣的一個機會然後未來還讓他有這個機會再引進其他或是再繼續做這樣的一個服務所以我 |
transcript.whisperx[18].start |
436.601 |
transcript.whisperx[18].end |
457.555 |
transcript.whisperx[18].text |
這邊我是希望就是說衛福部針對這一部分未來你們要怎麼去預防或者是你們要怎麼去管理而不是這個變得完全你根本不知道他到底有沒有來做醫療好完全不知道然後病例也沒有對啊那你們怎麼可以忍受這樣子的一個你們原本是一個好意然後後來是變質的 |
transcript.whisperx[19].start |
459.69 |
transcript.whisperx[19].end |
481.038 |
transcript.whisperx[19].text |
跟委員報告就是我們每年都會不定期會同那個移民署還有那個陸委會共同去跟衛福部共同聯合一個稽查的機制去不定期去抽目前大概有一百二十九家的會員機構所以我們這個有從事這個計畫的我們會不定期的去做聯合的稽查 |
transcript.whisperx[20].start |
481.997 |
transcript.whisperx[20].end |
495.795 |
transcript.whisperx[20].text |
去抽查從此抽查病例跟現場去了解說他當初這樣的你們是現在才開始在已經在這個至少已經執行了五六年了執行五六年那是最近才有這樣子的一個狀況出現嗎 |
transcript.whisperx[21].start |
496.977 |
transcript.whisperx[21].end |
514.346 |
transcript.whisperx[21].text |
因為這個案子其實因為移民署他那邊現在都是用資訊化去做他只要是數字異常的他就會跳出來做警示所以這部分的話我們就更特別去我希望就是說這個不要變成一個國安的一個漏洞真的真的部長 |
transcript.whisperx[22].start |
515.306 |
transcript.whisperx[22].end |
532.435 |
transcript.whisperx[22].text |
是不是未來這個部分你們要怎麼去做管理雖然是一兩間診所但是我們認為非常嚴重絕對不允許有這樣情況我想我們除了希望依法原辦以外當然我們一定加緊把所有的整個流程 |
transcript.whisperx[23].start |
533.223 |
transcript.whisperx[23].end |
557.746 |
transcript.whisperx[23].text |
在做最緊密主動而不是被動的告知主動的去...我是認為你們應該自己也要做一個全面的清查有一個聯合小組那我覺得這個應該要發揮更多的對 如果說你們這樣子一個機制已經做了五六年然後你們自己本身沒有發現然後還要靠移民署通知你們的話我認為你們應該要做一個全面的清查 |
transcript.whisperx[24].start |
559.423 |
transcript.whisperx[24].end |
573 |
transcript.whisperx[24].text |
這個我想我也非常重視這個所以那個一定嚴格來執行他每一個環節讓他真的有需要的人得到照顧照顧以後 |
transcript.whisperx[25].start |
574.702 |
transcript.whisperx[25].end |
588.69 |
transcript.whisperx[25].text |
就回去 這個一個一個都要盯得很緊這樣子而且不同區域有內造的事實這個我想都要嚴格辦理所以我希望真的部長你今天講的真的說到要做到 |
transcript.whisperx[26].start |
590.812 |
transcript.whisperx[26].end |
613.126 |
transcript.whisperx[26].text |
我們是完全不能忍受你竟然來然後你是沒有從事醫療沒有什麼醫療的行為然後這個診所完全也都沒有病例或者是這個病例捏造整個文書記錄全部都捏造那你怎麼可以接受這樣的診所繼續做這樣的事情或者是醫院甚至是醫院我都覺得很壓抑 |
transcript.whisperx[27].start |
613.706 |
transcript.whisperx[27].end |
639.022 |
transcript.whisperx[27].text |
不管是整所醫院我們一定取消他的資格而且是知名的醫院你可以忍受這樣子嗎不能忍受可以提供服務的醫院很多如果有違規的我們一定嚴格辦理所以我覺得你應該是全面要趕快去做一個清查不要再有這樣的事情發生我們一定 |
transcript.whisperx[28].start |
640.943 |
transcript.whisperx[28].end |
662.404 |
transcript.whisperx[28].text |
人家檢討去把他鎖這個罪行好另外這個再給我兩分鐘的時間我問一下就是說我們一直在推動這個健康台灣那台灣的目前三高變成是國人死亡的非常重要的一個這個原因那在這個 |
transcript.whisperx[29].start |
664.465 |
transcript.whisperx[29].end |
679.25 |
transcript.whisperx[29].text |
這個我們整個死亡人數差不多有三成都因為山高的這個原因那我想請教部長就是未來我們衛福部針對這個高血壓高血糖高血脂這樣山高那你防治的目標是什麼那 |
transcript.whisperx[30].start |
680.59 |
transcript.whisperx[30].end |
700.681 |
transcript.whisperx[30].text |
有什麼樣的方式可以降低這樣的一個三高的發生那另外就是說我們在推動這個健康存摺我發現一般民眾在使用這個健康存摺可能也可能也很少人在使用這個那是不是有可能跟這個外送平台因為 |
transcript.whisperx[31].start |
701.361 |
transcript.whisperx[31].end |
717.653 |
transcript.whisperx[31].text |
國人外食的這個機會真的非常的多那有沒有可能也跟這個外送平台做一個結合就是說你透過外送平台然後你在點餐的時候你在最近這幾天你使用的這個高油高糖 |
transcript.whisperx[32].start |
722.776 |
transcript.whisperx[32].end |
745.062 |
transcript.whisperx[32].text |
這樣的類似這樣的一個食物使用了幾次那會影響健康我覺得是不是請部長你可以講一下未來怎樣去降低這個這個三高的這個部分那未來我們怎麼樣透過我們的AI的方式然後讓民眾可以更加的知道自己目前的這個健康狀況 |
transcript.whisperx[33].start |
746.462 |
transcript.whisperx[33].end |
766.331 |
transcript.whisperx[33].text |
謝謝委員這是非常重要的一件事情其實牽涉的蠻廣的我們第一個當然怎麼樣讓他生活習慣好一點這是第一個階段這個部分其實在我們的健康存摺裡面就有相關的一個指導那當然等一下可以由健保署來講健康存摺使用的人有多少 |
transcript.whisperx[34].start |
772.547 |
transcript.whisperx[34].end |
791.178 |
transcript.whisperx[34].text |
用過的人非常多但是是不是大家都熟悉去使用習慣去使用那當然又是另外一個問題第二個就是說我們在三高剛剛您提到三高是嚴重的問題所以我們譬如說我們在成人健檢部分我們就把降了10歲 |
transcript.whisperx[35].start |
792.159 |
transcript.whisperx[35].end |
812.124 |
transcript.whisperx[35].text |
所以是健康台灣非常重要的一點,因為常常到三十幾歲其實就開始有一些其實是可逆性的一些症狀那只要生活習慣改變,他的調整好,睡覺睡好一點,運動好一點,他的紅字就變成 |
transcript.whisperx[36].start |
813.064 |
transcript.whisperx[36].end |
837.281 |
transcript.whisperx[36].text |
黑字的啦 所以真的很感謝委員關心這一點那這個部分我們在健康台灣的確也增加了很多經會在做這個部分 發現了更早發現了這些問題來處理那至於說還有另外就是怎麼樣把所有檢查出來的data數據能夠匯集 這也是未來這也是行政院在大概一個禮拜 |
transcript.whisperx[37].start |
838.061 |
transcript.whisperx[37].end |
865.075 |
transcript.whisperx[37].text |
一兩個禮拜前在宴會裡面特別討論這個議題那我們希望各部門尤其是勞動部他有很多的勞工健檢的部分能夠我們有一個平台把它通通匯集起來那這樣就會來整個來瞭解來共同來推動它避免三高那至於說跟外送平台這個部分如果我們這個平台成熟以後我們當然也願意來瞭解來配合來大家增強這個照顧的實力這樣好 |
transcript.whisperx[38].start |
867.856 |
transcript.whisperx[38].end |
895.947 |
transcript.whisperx[38].text |
好,我們希望就是說,在那個部長這邊,真的努力來推動健康台灣然後將我們國人的這個三高的這個部分能夠降低,減少這個死亡率啦好不好?謝謝委員的關心,我也呼籲國人多使用我們現在健康春籌的一個,應該會有很大的幫助這樣子用呼籲的就不好啊,輸用的人就是少啊,對不對?我們呼籲兩個人,有一個人有安全 |
transcript.whisperx[39].start |
898.456 |
transcript.whisperx[39].end |
920.083 |
transcript.whisperx[39].text |
但是可能有上去,我不曉得施昭有沒有去看過自己的健康存摺所以今天我發現這陣子用覺得還蠻好用的所以請國人用,這個是我們發揮很多精神建造出來的我們希望更多的資料進來的話 |
transcript.whisperx[40].start |
924.485 |
transcript.whisperx[40].end |
929.276 |
transcript.whisperx[40].text |
更多可以幫忙促進健康的事情好 謝謝委員的指導 謝謝 |