IVOD_ID |
163510 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163510 |
日期 |
2025-08-14 |
會議資料.會議代碼 |
委員會-11-3-26-24 |
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24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 |
24 |
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24次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-08-14T12:07:39+08:00 |
結束時間 |
2025-08-14T12:18:30+08:00 |
影片長度 |
00:10:51 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3ced7f9f61571ec9219e370b1eb86031bce7d2d90249eb2fc234c49c8e9603460c38360a1b553cc65ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
葉元之 |
委員發言時間 |
12:07:39 - 12:18:30 |
會議時間 |
2025-08-14T09:00:00+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24次全體委員會議(事由:邀請衛生福利部、經濟部、財政部就「美國針對進口藥品、原料藥課稅對我國產業造成影響」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
9.97034375 |
transcript.pyannote[0].end |
12.01221875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
16.95659375 |
transcript.pyannote[1].end |
89.04659375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
52.59659375 |
transcript.pyannote[2].end |
52.63034375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
52.63034375 |
transcript.pyannote[3].end |
53.30534375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
63.41346875 |
transcript.pyannote[4].end |
63.81846875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
89.43471875 |
transcript.pyannote[5].end |
96.57284375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
95.88096875 |
transcript.pyannote[6].end |
96.10034375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
96.80909375 |
transcript.pyannote[7].end |
98.59784375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
98.71596875 |
transcript.pyannote[8].end |
106.12409375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
106.24221875 |
transcript.pyannote[9].end |
107.45721875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
107.45721875 |
transcript.pyannote[10].end |
107.50784375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
107.50784375 |
transcript.pyannote[11].end |
125.39534375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
126.12096875 |
transcript.pyannote[12].end |
129.81659375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
130.23846875 |
transcript.pyannote[13].end |
142.35471875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
133.88346875 |
transcript.pyannote[14].end |
133.98471875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
133.98471875 |
transcript.pyannote[15].end |
134.01846875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
134.01846875 |
transcript.pyannote[16].end |
134.03534375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
134.03534375 |
transcript.pyannote[17].end |
134.05221875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
139.55346875 |
transcript.pyannote[18].end |
139.94159375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
142.35471875 |
transcript.pyannote[19].end |
161.28846875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
143.58659375 |
transcript.pyannote[20].end |
143.65409375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
147.80534375 |
transcript.pyannote[21].end |
148.09221875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
148.09221875 |
transcript.pyannote[22].end |
148.10909375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
161.28846875 |
transcript.pyannote[23].end |
173.82659375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
161.30534375 |
transcript.pyannote[24].end |
161.71034375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
163.58346875 |
transcript.pyannote[25].end |
164.03909375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
167.46471875 |
transcript.pyannote[26].end |
167.78534375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
171.44721875 |
transcript.pyannote[27].end |
173.77596875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
173.82659375 |
transcript.pyannote[28].end |
187.96784375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
184.23846875 |
transcript.pyannote[29].end |
184.55909375 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
186.68534375 |
transcript.pyannote[30].end |
186.97221875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
187.96784375 |
transcript.pyannote[31].end |
205.21409375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
205.65284375 |
transcript.pyannote[32].end |
218.03909375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
218.03909375 |
transcript.pyannote[33].end |
218.10659375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
218.10659375 |
transcript.pyannote[34].end |
285.53909375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
231.58971875 |
transcript.pyannote[35].end |
231.67409375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
282.63659375 |
transcript.pyannote[36].end |
282.92346875 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
285.97784375 |
transcript.pyannote[37].end |
288.47534375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
288.47534375 |
transcript.pyannote[38].end |
299.46096875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
288.72846875 |
transcript.pyannote[39].end |
289.30221875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
291.17534375 |
transcript.pyannote[40].end |
291.46221875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
293.48721875 |
transcript.pyannote[41].end |
293.90909375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
295.73159375 |
transcript.pyannote[42].end |
297.03096875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
297.03096875 |
transcript.pyannote[43].end |
297.65534375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
297.65534375 |
transcript.pyannote[44].end |
298.02659375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
298.02659375 |
transcript.pyannote[45].end |
299.14034375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
299.27534375 |
transcript.pyannote[46].end |
299.32596875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
299.46096875 |
transcript.pyannote[47].end |
299.47784375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
299.73096875 |
transcript.pyannote[48].end |
314.83409375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
315.22221875 |
transcript.pyannote[49].end |
317.16284375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
317.65221875 |
transcript.pyannote[50].end |
321.73596875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
322.12409375 |
transcript.pyannote[51].end |
325.14471875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
325.39784375 |
transcript.pyannote[52].end |
332.85659375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
333.39659375 |
transcript.pyannote[53].end |
349.44471875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
350.01846875 |
transcript.pyannote[54].end |
355.80659375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
356.24534375 |
transcript.pyannote[55].end |
359.56971875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
357.89909375 |
transcript.pyannote[56].end |
366.69096875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
362.64096875 |
transcript.pyannote[57].end |
363.21471875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
367.02846875 |
transcript.pyannote[58].end |
373.57596875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
373.57596875 |
transcript.pyannote[59].end |
373.86284375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
373.86284375 |
transcript.pyannote[60].end |
384.03846875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
382.73909375 |
transcript.pyannote[61].end |
383.14409375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
384.03846875 |
transcript.pyannote[62].end |
390.24846875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
384.37596875 |
transcript.pyannote[63].end |
384.73034375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
390.51846875 |
transcript.pyannote[64].end |
394.06221875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
391.61534375 |
transcript.pyannote[65].end |
414.71721875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
396.72846875 |
transcript.pyannote[66].end |
397.15034375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
398.02784375 |
transcript.pyannote[67].end |
399.15846875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
414.71721875 |
transcript.pyannote[68].end |
415.40909375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
415.40909375 |
transcript.pyannote[69].end |
415.42596875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
415.42596875 |
transcript.pyannote[70].end |
423.69471875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
415.44284375 |
transcript.pyannote[71].end |
415.89846875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
418.49721875 |
transcript.pyannote[72].end |
418.69971875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
420.91034375 |
transcript.pyannote[73].end |
421.46721875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
422.02409375 |
transcript.pyannote[74].end |
432.03096875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
430.57971875 |
transcript.pyannote[75].end |
430.63034375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
430.84971875 |
transcript.pyannote[76].end |
431.03534375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
432.79034375 |
transcript.pyannote[77].end |
452.24721875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
452.34846875 |
transcript.pyannote[78].end |
456.61784375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
457.19159375 |
transcript.pyannote[79].end |
461.78159375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
462.42284375 |
transcript.pyannote[80].end |
484.73159375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
481.96409375 |
transcript.pyannote[81].end |
482.26784375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
482.58846875 |
transcript.pyannote[82].end |
482.89221875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
485.44034375 |
transcript.pyannote[83].end |
493.38846875 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
493.62471875 |
transcript.pyannote[84].end |
494.31659375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
495.56534375 |
transcript.pyannote[85].end |
496.81409375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
497.26971875 |
transcript.pyannote[86].end |
499.85159375 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
500.30721875 |
transcript.pyannote[87].end |
503.54721875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
500.62784375 |
transcript.pyannote[88].end |
500.96534375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
501.03284375 |
transcript.pyannote[89].end |
501.28596875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
503.54721875 |
transcript.pyannote[90].end |
503.85096875 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
503.85096875 |
transcript.pyannote[91].end |
506.02784375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
506.33159375 |
transcript.pyannote[92].end |
507.96846875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
507.17534375 |
transcript.pyannote[93].end |
513.57096875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
512.33909375 |
transcript.pyannote[94].end |
517.28346875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
514.33034375 |
transcript.pyannote[95].end |
525.95721875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
521.36721875 |
transcript.pyannote[96].end |
521.78909375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
526.19346875 |
transcript.pyannote[97].end |
527.76284375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
528.06659375 |
transcript.pyannote[98].end |
548.72159375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
536.28471875 |
transcript.pyannote[99].end |
537.61784375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
549.32909375 |
transcript.pyannote[100].end |
572.70096875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
551.67471875 |
transcript.pyannote[101].end |
552.02909375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
552.02909375 |
transcript.pyannote[102].end |
552.24846875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
552.24846875 |
transcript.pyannote[103].end |
552.38346875 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
552.38346875 |
transcript.pyannote[104].end |
553.48034375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
573.03846875 |
transcript.pyannote[105].end |
575.08034375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
575.08034375 |
transcript.pyannote[106].end |
575.11409375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
575.38409375 |
transcript.pyannote[107].end |
575.68784375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
575.68784375 |
transcript.pyannote[108].end |
575.70471875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
576.17721875 |
transcript.pyannote[109].end |
579.80534375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
579.58596875 |
transcript.pyannote[110].end |
579.61971875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
579.61971875 |
transcript.pyannote[111].end |
579.73784375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
579.80534375 |
transcript.pyannote[112].end |
580.85159375 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
581.76284375 |
transcript.pyannote[113].end |
592.44471875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
584.86784375 |
transcript.pyannote[114].end |
586.18409375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
592.88346875 |
transcript.pyannote[115].end |
593.44034375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
593.03534375 |
transcript.pyannote[116].end |
593.06909375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
593.44034375 |
transcript.pyannote[117].end |
593.49096875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
593.49096875 |
transcript.pyannote[118].end |
593.87909375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
593.50784375 |
transcript.pyannote[119].end |
593.86221875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
593.87909375 |
transcript.pyannote[120].end |
601.89471875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
596.03909375 |
transcript.pyannote[121].end |
596.30909375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
600.67971875 |
transcript.pyannote[122].end |
606.24846875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
603.46409375 |
transcript.pyannote[123].end |
604.27409375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
606.88971875 |
transcript.pyannote[124].end |
613.55534375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
613.74096875 |
transcript.pyannote[125].end |
640.70721875 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
614.38221875 |
transcript.pyannote[126].end |
614.68596875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
618.06096875 |
transcript.pyannote[127].end |
621.21659375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
621.31784375 |
transcript.pyannote[128].end |
621.33471875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
621.40221875 |
transcript.pyannote[129].end |
621.82409375 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
625.73909375 |
transcript.pyannote[130].end |
626.48159375 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
629.51909375 |
transcript.pyannote[131].end |
629.67096875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
631.08846875 |
transcript.pyannote[132].end |
633.63659375 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
635.13846875 |
transcript.pyannote[133].end |
635.44221875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
640.11659375 |
transcript.pyannote[134].end |
650.93346875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
644.30159375 |
transcript.pyannote[135].end |
644.70659375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
647.45721875 |
transcript.pyannote[136].end |
647.76096875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
649.41471875 |
transcript.pyannote[137].end |
650.64659375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
650.68034375 |
transcript.pyannote[138].end |
650.76471875 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
650.84909375 |
transcript.pyannote[139].end |
650.89971875 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
650.93346875 |
transcript.pyannote[140].end |
651.25409375 |
transcript.whisperx[0].start |
10.18 |
transcript.whisperx[0].end |
37.065 |
transcript.whisperx[0].text |
馬上請到那個部長 衛福部長 謝謝委員好那個部長好我相信今天召委排這個專題報告應該就是大家很擔心缺藥的問題嘛特別是美國關稅之後對缺藥問題會不會特別嚴重那我看部長你回答媒體的訪問好像信心滿滿啊所以已經下令要求什麼自計的存量要三個月然後又提出四大策略 |
transcript.whisperx[1].start |
38.005 |
transcript.whisperx[1].end |
53.461 |
transcript.whisperx[1].text |
譬如說什麼要強化供應的預警啊什麼要價合理等等四大策略感覺上好像胸有成竹可是其實部長我不知道到底有沒有掌握到實際狀況其實我應該上個月也有在委員會有跟你提有跟你提過在我們 |
transcript.whisperx[2].start |
54.302 |
transcript.whisperx[2].end |
78.448 |
transcript.whisperx[2].text |
地方很多病患他們要拿那個處方簽的藥實際上都要跑遍很多藥局那時候舉的是眼藥的例子最近短效胰島素也非常的缺很多病患他是在醫院看病然後拿著處方簽跑遍藥局都買不到短效胰島素最後還是要跑到大醫院 |
transcript.whisperx[3].start |
79.068 |
transcript.whisperx[3].end |
105.435 |
transcript.whisperx[3].text |
我覺得這你就失去當時讓大家可以就近到社區藥局領藥的這種便利性現在很多藥已經沒有辦法達到這樣的效果那所以您的您很有信心我當然是我們也是希望您的信心是真的可以化為實際但是實際上狀況就不是這樣而且我不曉得部長你有沒有掌握現在有非常多的大的藥廠都發出缺藥通知你知道這個事嗎 |
transcript.whisperx[4].start |
106.295 |
transcript.whisperx[4].end |
125.118 |
transcript.whisperx[4].text |
我這邊手上就有一堆資料譬如說我們紓壓痰點演藝啊公司就說因廠商停止供應預計115年停止供應然後一大堆很多人都是說因為原物料短缺造成的結果那這個部分到底 |
transcript.whisperx[5].start |
126.192 |
transcript.whisperx[5].end |
142.198 |
transcript.whisperx[5].text |
部長您有沒有真的去了解問題提出一個比較明確的解決的問題因為這沒有什麼政治性議題這就是一般民生大家要用藥我覺得不要粉飾台針對問題解決問題部長您的解決方式到底是什麼 |
transcript.whisperx[6].start |
142.398 |
transcript.whisperx[6].end |
159.02 |
transcript.whisperx[6].text |
好 謝謝委員我想謝謝委員關心我們特別是新北市的一個醫藥方面的一個提供新北市的醫藥方面的團體我們都很熟所以大概也都知道他們運作的狀況這是長久的問題 |
transcript.whisperx[7].start |
160.121 |
transcript.whisperx[7].end |
186.476 |
transcript.whisperx[7].text |
在有些藥 不懂我相信這應該不會只是新北市的狀況因為他的藥來源都是藥商那藥商不可能說北部藥商有這樣的問題然後南部沒這樣的問題 我不相信我覺得應該就是全國的問題是的 所以我兩個部分一個是說一直這幾年來一直發生我們一直在解決讓醫 譬如說處方先拿的能夠順暢的拿這個部分怎麼樣去 這也是有些 |
transcript.whisperx[8].start |
188.717 |
transcript.whisperx[8].end |
204.886 |
transcript.whisperx[8].text |
應該是這樣 藥變少這是事實就是藥商供應的量變小這是事實不管他是原物料缺少還是說因為藥價關係他不願意投入太多在台灣這個是事實但現在出現還有一個分配的問題就是說最後他到醫院都拿得到但他藥局就是沒有 |
transcript.whisperx[9].start |
205.746 |
transcript.whisperx[9].end |
231.329 |
transcript.whisperx[9].text |
所以我覺得分配問題你應該也可以去針對這個部分去思考一下你醫院有時候一大堆也不見得大家集資去領嘛可是藥局就沒有那怎麼去調配那個量讓醫院也不要沒有但是讓他有充足的情況之下有比較多餘的可以進入到社區藥局便利我們民眾去領嘛這個不是不能解決第二個是缺藥平台啦因為上次我也有跟你提過 |
transcript.whisperx[10].start |
232.15 |
transcript.whisperx[10].end |
258.697 |
transcript.whisperx[10].text |
你們都會講說只要有缺藥就可以到缺藥平台去反映可是藥局的心聲就是反映的沒用反映的沒用所以到最後當他覺得這個東西反映沒用之後就不會再去反映了就是這樣就覺得反正也沒有意義所以最後你們這邊的得到訊息就會誤解成說都沒有人來反映都沒有人反映所以一定沒缺藥可是實際上人家是因為反映的沒用所以沒去反映 |
transcript.whisperx[11].start |
259.477 |
transcript.whisperx[11].end |
285.027 |
transcript.whisperx[11].text |
所以我真的覺得這個衛福部官員跟基層有很大的落差我真的強烈建議因為部長你也是醫師出身嘛您在其實我了解您在那個醫師團體聲望很高啦很多醫生對你很肯定你其實可以多多問看他們的意見不管是醫師團體或是藥師團體一樣到底我講的是不是事實還是你了解的是事實 |
transcript.whisperx[12].start |
285.947 |
transcript.whisperx[12].end |
303.359 |
transcript.whisperx[12].text |
因為我們兩個的了解有落差沒有 我委員所講的的確是有這種現象那我們一直在改善那要怎麼改善嘛因為這個問題拖很久了江組長來跟議員這邊進一步報告剛才提到的 |
transcript.whisperx[13].start |
304.74 |
transcript.whisperx[13].end |
331.915 |
transcript.whisperx[13].text |
我非常非常肯定我也知道是現實那我要說明的事情台灣的整個市場小所以我們在藥物舉個例子胰島素這件事情那胰島素面臨的是全世界第一名製廠占比的叫諾和諾的一家它的短效的胰島素等等還有其他的那因為短效胰島素人類胰島素特殊性上面它必須用在關鍵的一般民眾的胰島素 |
transcript.whisperx[14].start |
333.476 |
transcript.whisperx[14].end |
355.354 |
transcript.whisperx[14].text |
常平時的狀況之下其實是可以替代的可是有些關鍵的地方就需求特別嚴重要進入交互病房裡面昏迷的糖尿病的病患跟酮酸中毒他就必須要用這種的所以我們在做的這樣的情形之下我們要讓最關鍵的人能夠用得到所以我們做的必須要做控制跟控藥 |
transcript.whisperx[15].start |
356.314 |
transcript.whisperx[15].end |
371.126 |
transcript.whisperx[15].text |
那這個東西在社區一般民眾我今天你會講很長我知道啦其實我的問題很簡單就是我的問題非常簡單你讓需要的人能夠在社區拿到藥那就是這樣該不該做 該嘛 |
transcript.whisperx[16].start |
374.468 |
transcript.whisperx[16].end |
389.862 |
transcript.whisperx[16].text |
那該嘛 那問題出在哪裡你要把問題找到嘛而不是講一大堆這個藥是怎麼樣要控制說那問題是你就沒有讓人家拿到藥啊謝謝委員這邊委員報告的地方是我們在處方的行為上會決定他拿得到拿不到 |
transcript.whisperx[17].start |
390.603 |
transcript.whisperx[17].end |
411.138 |
transcript.whisperx[17].text |
所以我們跟整個醫學會上面我反應的是說處方的行為希望他拿得到的部分他還是拿不到比如說眼藥水嘛應該他不是什麼你剛剛講的他要控制要讓特殊的人才能拿到應該不是這個情況但是現在很多病患他跑藥局要去拿眼藥水也拿不到啊 |
transcript.whisperx[18].start |
411.838 |
transcript.whisperx[18].end |
430.68 |
transcript.whisperx[18].text |
就是你要普遍性的去解決這個缺藥的問題嘛了解我們這個部分一個是真的是缺嘛一個是所謂的平衡的部分能夠讓他的供應鏈能夠穩定這兩部分我們持續在努力如果說我們在這邊一直反映基層的心聲然後你一直講一堆理由我相信這問題沒有辦法解決你應該是說 |
transcript.whisperx[19].start |
433.262 |
transcript.whisperx[19].end |
461.668 |
transcript.whisperx[19].text |
確實我們應該要讓民眾如果他這個藥是應該在藥局拿得到他就應該要拿得到不過不要因為缺藥的問題讓他拿不到你們是要去解決這件事情然後去跟藥局做一個加強聯繫譬如說你現在的聯繫方式是缺藥平台但缺藥平台現在已經失靈了那怎麼樣再重新讓這些藥局對缺藥平台產生信心用什麼方式讓他覺得說我今天跟政府反映事情是有用的 |
transcript.whisperx[20].start |
462.452 |
transcript.whisperx[20].end |
484.457 |
transcript.whisperx[20].text |
你現在要建立起政府對於民眾或者是藥局的信心我們現在反映的是這個事情而不是針對署長剛剛提到特定一個藥到底它是為什麼我們要平衡當然那個也是其中之一但是大的方向是你要解決我剛剛講的那兩件事這個我們深刻了解我們會記得因為這個同樣的問題一直在反映 |
transcript.whisperx[21].start |
485.492 |
transcript.whisperx[21].end |
514.021 |
transcript.whisperx[21].text |
我上次好像有請部長這邊說是不是你說你說會檢討嗎然後說會給我們一個檢討的一個說明嗎我不知道你有做嗎好不然的話同樣的問題就是每次一直在問啊然後然後每次我講的我都覺得部長你很認同啊但是認同都沒有行動啊那總是要行動我們有認同也一直在想要解決所以這個必須要跟這有急迫性啊部長這不是 |
transcript.whisperx[22].start |
516.642 |
transcript.whisperx[22].end |
536.828 |
transcript.whisperx[22].text |
藥界有它的文化啦又大的藥局又連鎖藥局又小藥局這個強度有時候他們拿到的貨的確可能的確這個不管是一的這個專業配合藥的一個分佈我們的確要坐下來來溝通看看那要多久 |
transcript.whisperx[23].start |
538.849 |
transcript.whisperx[23].end |
556.786 |
transcript.whisperx[23].text |
國際間我們當然爭取藥進來讓他不要缺藥這也是很重要不要缺藥裡面再來就分配分配的讓他社區的民眾能夠順暢這是一定要做的事情但是這個就是可能又有點變成一種 |
transcript.whisperx[24].start |
558.187 |
transcript.whisperx[24].end |
570.478 |
transcript.whisperx[24].text |
一種比較business的一個因素在裡面但是為了社區民眾的一個拿藥的方便我想我們會出來來介入來協調 |
transcript.whisperx[25].start |
576.242 |
transcript.whisperx[25].end |
592.017 |
transcript.whisperx[25].text |
我們就這個部分我們積極辦理跟委員這邊做報告什麼時候再來問你嘛什麼時候會有一個初步的一個構想出來或者是一個做法因為今天的戰略都比較比較高大上很崇高啦但那個戰略 |
transcript.whisperx[26].start |
593.458 |
transcript.whisperx[26].end |
601.642 |
transcript.whisperx[26].text |
跟實際落差很大跟委員報告一下其實我們想的我們組長整組其實都已經因為我剛剛的問題都已經講完了啦我現在只要一個期程就是什麼時候 |
transcript.whisperx[27].start |
608.37 |
transcript.whisperx[27].end |
631.558 |
transcript.whisperx[27].text |
大概我大概什麼時候再來問你你可以有一個比較具體的解決的方案跟委員報告他牽涉後續的後面那一段是講很實情的問題都很了解不要再拖時間了要以數個月到半年以上來計才有辦法數個月調控的有點需要有一些時間因為他牽涉到全球不是做法啦什麼時候 |
transcript.whisperx[28].start |
631.978 |
transcript.whisperx[28].end |
650.192 |
transcript.whisperx[28].text |
做法應該回去就可以拿出來了我們已經都已經有做法跟想法了沒有問題這個我們跟委員們做進一步我們的規劃的報告我想我們一個月內把做法跟委員報告那三個月會提出一個更積極的一個進行的程度這樣OK 好 謝謝 |