IVOD_ID |
161099 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161099 |
日期 |
2025-05-08 |
會議資料.會議代碼 |
委員會-11-3-26-10 |
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10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 |
10 |
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10次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-08T11:12:58+08:00 |
結束時間 |
2025-05-08T11:24:46+08:00 |
影片長度 |
00:11:48 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/26c557d936b203c141965dd36776cc0dbf088656e97d340397e39277836b040f5b63c472636971245ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
黃秀芳 |
委員發言時間 |
11:12:58 - 11:24:46 |
會議時間 |
2025-05-08T09:00:00+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10次全體委員會議(事由:一、邀請衛生福利部部長就「長照2.0執行情形檢討及3.0未來規劃」進行專題報告,並備質詢。
二、邀請衛生福利部部長就「澳洲進口豬腳驗出含萊克多巴胺,如何加強肉品食安查驗,讓民眾放心」進行專題報告,並備質詢。
【專題報告綜合詢答】) |
transcript.pyannote[0].speaker |
SPEAKER_03 |
transcript.pyannote[0].start |
6.73034375 |
transcript.pyannote[0].end |
8.40096875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
9.29534375 |
transcript.pyannote[1].end |
10.34159375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
14.49284375 |
transcript.pyannote[2].end |
15.08346875 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
15.08346875 |
transcript.pyannote[3].end |
16.85534375 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
17.51346875 |
transcript.pyannote[4].end |
84.94596875 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
86.09346875 |
transcript.pyannote[5].end |
107.38971875 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
107.94659375 |
transcript.pyannote[6].end |
112.99221875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
113.66721875 |
transcript.pyannote[7].end |
113.70096875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
113.70096875 |
transcript.pyannote[8].end |
113.73471875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
113.73471875 |
transcript.pyannote[9].end |
113.83596875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
113.83596875 |
transcript.pyannote[10].end |
114.12284375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
114.12284375 |
transcript.pyannote[11].end |
114.22409375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
114.22409375 |
transcript.pyannote[12].end |
114.32534375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
114.32534375 |
transcript.pyannote[13].end |
114.51096875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
114.51096875 |
transcript.pyannote[14].end |
114.52784375 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
114.52784375 |
transcript.pyannote[15].end |
114.62909375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
114.62909375 |
transcript.pyannote[16].end |
114.69659375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
114.69659375 |
transcript.pyannote[17].end |
114.76409375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
114.76409375 |
transcript.pyannote[18].end |
114.84846875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
114.84846875 |
transcript.pyannote[19].end |
114.96659375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
114.96659375 |
transcript.pyannote[20].end |
115.10159375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
115.10159375 |
transcript.pyannote[21].end |
115.11846875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
115.86096875 |
transcript.pyannote[22].end |
136.56659375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
134.89596875 |
transcript.pyannote[23].end |
139.01346875 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
139.13159375 |
transcript.pyannote[24].end |
151.14659375 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
151.70346875 |
transcript.pyannote[25].end |
152.96909375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
152.74971875 |
transcript.pyannote[26].end |
167.19471875 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
167.63346875 |
transcript.pyannote[27].end |
168.13971875 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
168.51096875 |
transcript.pyannote[28].end |
184.42409375 |
transcript.pyannote[29].speaker |
SPEAKER_03 |
transcript.pyannote[29].start |
184.77846875 |
transcript.pyannote[29].end |
218.32596875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
218.95034375 |
transcript.pyannote[30].end |
222.30846875 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
222.30846875 |
transcript.pyannote[31].end |
222.40971875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
222.37596875 |
transcript.pyannote[32].end |
222.62909375 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
222.62909375 |
transcript.pyannote[33].end |
244.38096875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
222.67971875 |
transcript.pyannote[34].end |
223.18596875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
244.83659375 |
transcript.pyannote[35].end |
249.96659375 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
249.27471875 |
transcript.pyannote[36].end |
249.69659375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
250.54034375 |
transcript.pyannote[37].end |
270.89159375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
271.76909375 |
transcript.pyannote[38].end |
284.13846875 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
284.52659375 |
transcript.pyannote[39].end |
294.43221875 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
295.32659375 |
transcript.pyannote[40].end |
296.10284375 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
296.35596875 |
transcript.pyannote[41].end |
302.41409375 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
302.93721875 |
transcript.pyannote[42].end |
315.54284375 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
316.38659375 |
transcript.pyannote[43].end |
327.35534375 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
327.87846875 |
transcript.pyannote[44].end |
335.25284375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
336.33284375 |
transcript.pyannote[45].end |
342.86346875 |
transcript.pyannote[46].speaker |
SPEAKER_03 |
transcript.pyannote[46].start |
339.23534375 |
transcript.pyannote[46].end |
339.31971875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
343.52159375 |
transcript.pyannote[47].end |
348.22971875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
347.41971875 |
transcript.pyannote[48].end |
347.87534375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
348.46596875 |
transcript.pyannote[49].end |
350.71034375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
350.74409375 |
transcript.pyannote[50].end |
351.18284375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
351.26721875 |
transcript.pyannote[51].end |
356.98784375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
354.74346875 |
transcript.pyannote[52].end |
355.06409375 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
357.46034375 |
transcript.pyannote[53].end |
361.40909375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
359.50221875 |
transcript.pyannote[54].end |
359.94096875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
362.01659375 |
transcript.pyannote[55].end |
364.58159375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
365.02034375 |
transcript.pyannote[56].end |
367.01159375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
367.23096875 |
transcript.pyannote[57].end |
367.61909375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
367.90596875 |
transcript.pyannote[58].end |
377.42346875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
374.41971875 |
transcript.pyannote[59].end |
374.47034375 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
374.47034375 |
transcript.pyannote[60].end |
375.31409375 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
375.87096875 |
transcript.pyannote[61].end |
416.23596875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
417.13034375 |
transcript.pyannote[62].end |
420.18471875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
420.57284375 |
transcript.pyannote[63].end |
423.50909375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
424.28534375 |
transcript.pyannote[64].end |
426.32721875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
426.78284375 |
transcript.pyannote[65].end |
427.71096875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
428.09909375 |
transcript.pyannote[66].end |
429.06096875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
429.34784375 |
transcript.pyannote[67].end |
430.91721875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
429.60096875 |
transcript.pyannote[68].end |
430.12409375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
430.83284375 |
transcript.pyannote[69].end |
431.18721875 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
431.79471875 |
transcript.pyannote[70].end |
433.88721875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
434.05596875 |
transcript.pyannote[71].end |
436.09784375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
436.46909375 |
transcript.pyannote[72].end |
437.24534375 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
438.20721875 |
transcript.pyannote[73].end |
439.64159375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
439.99596875 |
transcript.pyannote[74].end |
441.58221875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
441.86909375 |
transcript.pyannote[75].end |
442.18971875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
442.57784375 |
transcript.pyannote[76].end |
443.82659375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
444.19784375 |
transcript.pyannote[77].end |
444.94034375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
445.17659375 |
transcript.pyannote[78].end |
445.63221875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
445.85159375 |
transcript.pyannote[79].end |
448.18034375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
448.63596875 |
transcript.pyannote[80].end |
460.06034375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
453.25971875 |
transcript.pyannote[81].end |
453.59721875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
456.12846875 |
transcript.pyannote[82].end |
456.68534375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
457.54596875 |
transcript.pyannote[83].end |
457.56284375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
457.61346875 |
transcript.pyannote[84].end |
457.69784375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
459.90846875 |
transcript.pyannote[85].end |
460.36409375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
460.41471875 |
transcript.pyannote[86].end |
471.46784375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
466.74284375 |
transcript.pyannote[87].end |
467.16471875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
471.72096875 |
transcript.pyannote[88].end |
475.23096875 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
475.53471875 |
transcript.pyannote[89].end |
475.87221875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
476.44596875 |
transcript.pyannote[90].end |
495.91971875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
496.07159375 |
transcript.pyannote[91].end |
508.33971875 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
508.71096875 |
transcript.pyannote[92].end |
513.77346875 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
514.26284375 |
transcript.pyannote[93].end |
537.56721875 |
transcript.pyannote[94].speaker |
SPEAKER_03 |
transcript.pyannote[94].start |
538.37721875 |
transcript.pyannote[94].end |
550.84784375 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
551.91096875 |
transcript.pyannote[95].end |
575.55284375 |
transcript.pyannote[96].speaker |
SPEAKER_03 |
transcript.pyannote[96].start |
576.31221875 |
transcript.pyannote[96].end |
579.82221875 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
580.17659375 |
transcript.pyannote[97].end |
581.98221875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
583.26471875 |
transcript.pyannote[98].end |
597.11909375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
597.49034375 |
transcript.pyannote[99].end |
622.07721875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
605.84346875 |
transcript.pyannote[100].end |
606.65346875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
606.65346875 |
transcript.pyannote[101].end |
606.67034375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
608.18909375 |
transcript.pyannote[102].end |
608.74596875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
608.74596875 |
transcript.pyannote[103].end |
609.33659375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
612.00284375 |
transcript.pyannote[104].end |
612.01971875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
612.01971875 |
transcript.pyannote[105].end |
612.37409375 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
622.34721875 |
transcript.pyannote[106].end |
623.47784375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
624.08534375 |
transcript.pyannote[107].end |
625.26659375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
625.82346875 |
transcript.pyannote[108].end |
629.85659375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
630.51471875 |
transcript.pyannote[109].end |
644.08221875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
639.15471875 |
transcript.pyannote[110].end |
639.55971875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
644.28471875 |
transcript.pyannote[111].end |
647.08596875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
647.33909375 |
transcript.pyannote[112].end |
647.89596875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
648.11534375 |
transcript.pyannote[113].end |
649.34721875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
649.58346875 |
transcript.pyannote[114].end |
652.04721875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
652.51971875 |
transcript.pyannote[115].end |
655.16909375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
655.05096875 |
transcript.pyannote[116].end |
655.40534375 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
655.33784375 |
transcript.pyannote[117].end |
658.12221875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
657.64971875 |
transcript.pyannote[118].end |
657.97034375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
658.25721875 |
transcript.pyannote[119].end |
662.32409375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
658.47659375 |
transcript.pyannote[120].end |
658.99971875 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
662.42534375 |
transcript.pyannote[121].end |
683.02971875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
678.89534375 |
transcript.pyannote[122].end |
680.98784375 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
683.41784375 |
transcript.pyannote[123].end |
702.19971875 |
transcript.pyannote[124].speaker |
SPEAKER_03 |
transcript.pyannote[124].start |
702.67221875 |
transcript.pyannote[124].end |
703.17846875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
702.73971875 |
transcript.pyannote[125].end |
708.96659375 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
703.49909375 |
transcript.pyannote[126].end |
706.13159375 |
transcript.whisperx[0].start |
7.072 |
transcript.whisperx[0].end |
10.094 |
transcript.whisperx[0].text |
謝謝主席我們請部長好請部長委員好 部長好今天上午很多位委員就是關心我們這個進口豬還有這個萊克多巴胺的事件那我知道就是說我們全台灣進口的豬其實占不到 |
transcript.whisperx[1].start |
30.525 |
transcript.whisperx[1].end |
50.602 |
transcript.whisperx[1].text |
差不多一成左右而已啦差不多百分之十啦那國人使用這個豬肉的這個習慣很多都是使用這個溫體豬那其實我我會覺得就是說產地標示清楚讓消費者自己自己做選擇另外就是說有很多進口的這個 |
transcript.whisperx[2].start |
52.083 |
transcript.whisperx[2].end |
75.432 |
transcript.whisperx[2].text |
進口肉進口豬肉進來之後很多都是直接到那個加工加工食品貢丸啊肉乾啊之類的那如果說今天我們標示產地如果在超市的話其實你標示這個豬肉的產地民眾消費者可以很容易的去辨識然後可以去選擇我到底要不要吃進口的那如果 |
transcript.whisperx[3].start |
76.393 |
transcript.whisperx[3].end |
84.112 |
transcript.whisperx[3].text |
是在加工的食品譬如說貢丸肉乾之類的這種加工食品那 |
transcript.whisperx[4].start |
86.144 |
transcript.whisperx[4].end |
112.44 |
transcript.whisperx[4].text |
如果是散裝的如果今天這個貢丸他在超市在傳統市場他是用散裝的那他是這個用進口的豬肉去做的那你如果完全沒標示的話我消費者完全沒辦法知道這個豬肉的來源所以我這邊是不是可以要求就是說產地的標示除了這個很多都進到這個加工的部分然後那加工食品的這個部分你們要怎麼去規範 |
transcript.whisperx[5].start |
113.609 |
transcript.whisperx[5].end |
128.337 |
transcript.whisperx[5].text |
那個市長你要不要先這邊跟委員報告那我們針對所有的原料的豬肉的產地就是豬肉就豬肉的原產地的標示其實一直都有是在世界進行舉州剛才說的散裝的 |
transcript.whisperx[6].start |
130.159 |
transcript.whisperx[6].end |
150.921 |
transcript.whisperx[6].text |
豬肉原產地標示跟我們的包裝的貢丸也是都有標示如果今天我在傳統市場我買了貢丸散裝的那你們怎麼去規範說我買到的這個是台灣豬做成的貢丸或者是我買到的是進口豬肉做成的貢丸 |
transcript.whisperx[7].start |
151.812 |
transcript.whisperx[7].end |
167.007 |
transcript.whisperx[7].text |
消費者要怎麼知道跟在食安法的25條底下我們對於散裝食品的豬肉原料的原產地的標示其實是一直都有在進行的那他在販賣的場所裡面其實就會有揭露這樣子的一個訊息以上 |
transcript.whisperx[8].start |
167.668 |
transcript.whisperx[8].end |
179.661 |
transcript.whisperx[8].text |
好我希望就是說衛福部針對這一部分因為國人畢竟國人會擔心嘛那因為國人吃這個豬肉的這個習慣多數都是吃溫體豬而且對台灣的這個豬肉 |
transcript.whisperx[9].start |
184.867 |
transcript.whisperx[9].end |
211.077 |
transcript.whisperx[9].text |
它比較不會有那個腥味應該是說腥味那進口的這個豬肉很多都會有那種腥味所以國人還是比較喜歡食用台灣豬而且台灣豬的這個品質也比其他的都還好所以我是希望就是衛福部針對這部分應該是要求標示清楚不論是有包裝的加工的食品 |
transcript.whisperx[10].start |
211.517 |
transcript.whisperx[10].end |
217.568 |
transcript.whisperx[10].text |
不是去包裝或者是散裝都一定要要求標示清楚讓消費者自己去做選擇 |
transcript.whisperx[11].start |
220.117 |
transcript.whisperx[11].end |
244.196 |
transcript.whisperx[11].text |
我們國內國外都一體適用另外我們也希望也是要嚴格去查畢竟對於國人食的安全衛福部跟食藥署這邊要負很大的責任所以我們也希望除了標示之外嚴加的查查我覺得這個應該也是要做到的 |
transcript.whisperx[12].start |
245.118 |
transcript.whisperx[12].end |
269.833 |
transcript.whisperx[12].text |
是邊界的檢查以及市場的一個監測我們都會落實好 那署長你可以先回另外我想請教就是說部長我在那個人力銀行上面有看到就是說有醫材公司他們的徵材那他的這個徵材網頁上面就有特別提到就是說配合醫院手術跟刀及條壓 |
transcript.whisperx[13].start |
271.837 |
transcript.whisperx[13].end |
294.134 |
transcript.whisperx[13].text |
好那這個是在那個人力銀行應徵的這個工作性質就是配合醫院手術跟刀及調壓那經驗不拘不需要有工作經驗經驗不拘那我實際有請教就是也有問過目前在從事這樣工作的 |
transcript.whisperx[14].start |
295.39 |
transcript.whisperx[14].end |
314.85 |
transcript.whisperx[14].text |
的人確實就是醫師開這個腦部腦流那可能會裝一些醫療器材可能有這個醫療器材裝在腦部那引流的部分那這個醫材公司他的業務 |
transcript.whisperx[15].start |
316.428 |
transcript.whisperx[15].end |
334.321 |
transcript.whisperx[15].text |
他的業務就會到這個這個手術房裡面跟刀然後未來這個裝完之後可能這個病患的這個調壓腦壓什麼就是調節的部分也是由這個業務來做那部長你覺得這樣是正常的嗎我覺得是醫療是一個團隊也不能說誰單單做那個動作他就是 |
transcript.whisperx[16].start |
343.601 |
transcript.whisperx[16].end |
361.003 |
transcript.whisperx[16].text |
完全的負責 譬如說這個一定是腦外科的主治醫師指導的醫師 主導所有一切包括誰要做什麼動作 誰要做什麼動作我想應該就是主導者在領導這個團隊所以這個可能要看他 |
transcript.whisperx[17].start |
362.943 |
transcript.whisperx[17].end |
381.616 |
transcript.whisperx[17].text |
做的事情是在一種技術的協助還是有特別專業的成分我覺得專業還是在腦外科的一個主導的意思來主導所有的一切這個患者手術完之後回到家裡面 |
transcript.whisperx[18].start |
383.957 |
transcript.whisperx[18].end |
397.52 |
transcript.whisperx[18].text |
儀器可能也在他的這個腦部跟他的那個肚子裡面那可能要做一些腦壓的一個調節的部分那也許在短時間內可能有排定回診的時間那這個時間還沒到的時候有時候患者他就會直接請這個醫材公司打個電話然後請業務來幫他做這個調節 |
transcript.whisperx[19].start |
407.562 |
transcript.whisperx[19].end |
430.477 |
transcript.whisperx[19].text |
那你覺得這樣是合理的嗎或者是說未來如果這樣子出了問題那這個責任要算誰的我想只要還在調還在等於是說醫療的階段應該都是由主治醫師來負所有照顧的責任 |
transcript.whisperx[20].start |
432 |
transcript.whisperx[20].end |
459.137 |
transcript.whisperx[20].text |
那至於說各個專業或技術人員他能夠參與的層次我想主治醫師都要掌握而且都要負責我想應該不是由一個某一個成員單單去做那件事情因為那裡面其實是充滿專業的灌注在裡面他才會去做那個動作 |
transcript.whisperx[21].start |
460.798 |
transcript.whisperx[21].end |
472.094 |
transcript.whisperx[21].text |
我想這樣子還是我相信每一個那個去做的動作背後也是一個團隊思考那這個東西就是由負責的照顧的醫師應該要去擔負整個醫療的責任好 |
transcript.whisperx[22].start |
476.5 |
transcript.whisperx[22].end |
494.811 |
transcript.whisperx[22].text |
部長因為我今天要跟你講的就是說其實現在這個我們所有的醫療醫材真的是日新月異那我現在舉這個例子那另外就是說我們在長照的這個據點上面也有那個機器人也有機器人那 |
transcript.whisperx[23].start |
496.652 |
transcript.whisperx[23].end |
513.405 |
transcript.whisperx[23].text |
這個機器人可以跟裡面的這個阿公阿嬤可能聊天或幫他做一些那個送東西送藥那我想請教就是說未來就剛剛講的這個醫材方面或者是類似這樣機器人 |
transcript.whisperx[24].start |
514.326 |
transcript.whisperx[24].end |
537.262 |
transcript.whisperx[24].text |
那因為我在一兩個會期之前那時候也有特別提到就是說我們專業的這個醫學工程人員這個可能在這個醫院裡面都有可能負責這些醫療器材的部分那在之前大家會希望就是說因為現在這些儀器真的 |
transcript.whisperx[25].start |
538.43 |
transcript.whisperx[25].end |
545.698 |
transcript.whisperx[25].text |
真的確實要有這樣的一個專業的人來從事而不是我覺得就像剛剛講的這個這個醫材裝在腦袋裡面然後這個腦壓的調節 |
transcript.whisperx[26].start |
551.96 |
transcript.whisperx[26].end |
575.002 |
transcript.whisperx[26].text |
引流是由一個可能沒有什麼工作經驗的然後也沒有什麼醫療相關背景的人來從事這樣的一個工作那我想請教那個部長未來有沒有可能針對我們這個醫學工程師的這一部分會朝向這樣的這種想法或者是你們也會有 |
transcript.whisperx[27].start |
576.464 |
transcript.whisperx[27].end |
581.738 |
transcript.whisperx[27].text |
希望能夠有醫學工程師法這樣的一個立法 |
transcript.whisperx[28].start |
583.271 |
transcript.whisperx[28].end |
607.7 |
transcript.whisperx[28].text |
好,我想醫學工程的發展,這30年的發展真的是幫助我們醫療品質,整個團隊的醫療品質幫忙非常大就像今天早上那個江署長、江教授也有說台大他有一國也有相關的一個跨領域的一個相關的課程電子跟醫療 |
transcript.whisperx[29].start |
609.774 |
transcript.whisperx[29].end |
628.643 |
transcript.whisperx[29].text |
電子跟醫療其實都是結合在一起那至於說本身這個醫學工程師他要用什麼方式才能夠來肯定他的專業然後專業得到肯定這是我想我們以前當立委多年來也常常會碰到這個各個 |
transcript.whisperx[30].start |
630.955 |
transcript.whisperx[30].end |
643.505 |
transcript.whisperx[30].text |
專業人人他的一個怎麼樣去樹立他的專業當然樹立他的專業裡面對師生都比較好啦他的戲的發展那個生的發展但是怎麼樣但是 |
transcript.whisperx[31].start |
644.832 |
transcript.whisperx[31].end |
661.634 |
transcript.whisperx[31].text |
這樣的一個醫學工程師他的定義還有他的一個背景是應該怎麼樣這個他們的內部都還在討論那我們一直有跟他們在溝通那我們會絕對是尊重醫學工程師的一個專業 |
transcript.whisperx[32].start |
663.356 |
transcript.whisperx[32].end |
682.035 |
transcript.whisperx[32].text |
因為我是看到這個那個人力銀行這樣的應徵我會覺得工作經驗不拘沒有經驗也可以而且沒有相關背景也沒有關係來做這樣從事我們會認為是一個醫療行為那如果是這樣子的話其實其實我覺得是還蠻 |
transcript.whisperx[33].start |
683.916 |
transcript.whisperx[33].end |
702.066 |
transcript.whisperx[33].text |
蠻嚴重的一個問題所以我希望就是說因為我們未來可能有更多更多的這個醫療產業智慧型的醫療產業而且現在在民間這種智慧型的醫療產業其實還蠻蓬勃的所以我希望就是衛福部針對這部分應該要去好好的思考好的我們整體來思考謝謝黃委員謝謝部長 |