| IVOD_ID |
161128 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161128 |
| 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 |
2025-05-08T13:05:16+08:00 |
| 結束時間 |
2025-05-08T13:15:51+08:00 |
| 影片長度 |
00:10:35 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/26c557d936b203c15984ef59ce82e1aebf088656e97d34035710b400f5dcf9244763dcd5b5be02255ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
楊瓊瓔 |
| 委員發言時間 |
13:05:16 - 13:15:51 |
| 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_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.02659375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
5.17784375 |
| transcript.pyannote[1].end |
7.03409375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
7.43909375 |
| transcript.pyannote[2].end |
8.53596875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
11.23596875 |
| transcript.pyannote[3].end |
14.00346875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
19.18409375 |
| transcript.pyannote[4].end |
19.75784375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
20.19659375 |
| transcript.pyannote[5].end |
27.72284375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
28.12784375 |
| transcript.pyannote[6].end |
37.99971875 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
31.92471875 |
| transcript.pyannote[7].end |
32.00909375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
32.24534375 |
| transcript.pyannote[8].end |
32.49846875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
38.23596875 |
| transcript.pyannote[9].end |
39.01221875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
39.38346875 |
| transcript.pyannote[10].end |
50.18346875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
50.40284375 |
| transcript.pyannote[11].end |
52.49534375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
53.08596875 |
| transcript.pyannote[12].end |
65.03346875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
65.25284375 |
| transcript.pyannote[13].end |
67.36221875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
67.88534375 |
| transcript.pyannote[14].end |
70.07909375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
71.07471875 |
| transcript.pyannote[15].end |
72.71159375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
73.94346875 |
| transcript.pyannote[16].end |
76.62659375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
73.99409375 |
| transcript.pyannote[17].end |
74.60159375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
76.66034375 |
| transcript.pyannote[18].end |
77.13284375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
77.01471875 |
| transcript.pyannote[19].end |
78.09471875 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
78.09471875 |
| transcript.pyannote[20].end |
85.30034375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
78.24659375 |
| transcript.pyannote[21].end |
82.71846875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
82.98846875 |
| transcript.pyannote[22].end |
89.08034375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
86.49846875 |
| transcript.pyannote[23].end |
86.73471875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
88.67534375 |
| transcript.pyannote[24].end |
91.78034375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
89.75534375 |
| transcript.pyannote[25].end |
90.14346875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
91.62846875 |
| transcript.pyannote[26].end |
96.60659375 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
93.46784375 |
| transcript.pyannote[27].end |
95.05409375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
95.44221875 |
| transcript.pyannote[28].end |
98.83409375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
97.50096875 |
| transcript.pyannote[29].end |
125.00721875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
103.91346875 |
| transcript.pyannote[30].end |
104.79096875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
125.51346875 |
| transcript.pyannote[31].end |
126.74534375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
127.53846875 |
| transcript.pyannote[32].end |
128.07846875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
129.02346875 |
| transcript.pyannote[33].end |
129.49596875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
129.56346875 |
| transcript.pyannote[34].end |
130.39034375 |
| transcript.pyannote[35].speaker |
SPEAKER_02 |
| transcript.pyannote[35].start |
130.33971875 |
| transcript.pyannote[35].end |
130.72784375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
130.39034375 |
| transcript.pyannote[36].end |
130.42409375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
130.42409375 |
| transcript.pyannote[37].end |
130.44096875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
130.44096875 |
| transcript.pyannote[38].end |
130.60971875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
130.72784375 |
| transcript.pyannote[39].end |
130.91346875 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
130.91346875 |
| transcript.pyannote[40].end |
130.94721875 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
131.38596875 |
| transcript.pyannote[41].end |
173.23596875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
171.68346875 |
| transcript.pyannote[42].end |
171.83534375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
172.24034375 |
| transcript.pyannote[43].end |
174.68721875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
175.07534375 |
| transcript.pyannote[44].end |
177.03284375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
177.35346875 |
| transcript.pyannote[45].end |
253.59471875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
191.30909375 |
| transcript.pyannote[46].end |
191.74784375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
198.97034375 |
| transcript.pyannote[47].end |
199.02096875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
199.12221875 |
| transcript.pyannote[48].end |
199.27409375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
254.87721875 |
| transcript.pyannote[49].end |
261.72846875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
261.72846875 |
| transcript.pyannote[50].end |
261.82971875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
261.82971875 |
| transcript.pyannote[51].end |
261.94784375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
261.94784375 |
| transcript.pyannote[52].end |
261.98159375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
262.90971875 |
| transcript.pyannote[53].end |
269.27159375 |
| transcript.pyannote[54].speaker |
SPEAKER_03 |
| transcript.pyannote[54].start |
268.93409375 |
| transcript.pyannote[54].end |
269.15346875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
269.37284375 |
| transcript.pyannote[55].end |
269.89596875 |
| transcript.pyannote[56].speaker |
SPEAKER_03 |
| transcript.pyannote[56].start |
270.04784375 |
| transcript.pyannote[56].end |
278.11409375 |
| transcript.pyannote[57].speaker |
SPEAKER_03 |
| transcript.pyannote[57].start |
278.68784375 |
| transcript.pyannote[57].end |
299.73096875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
298.38096875 |
| transcript.pyannote[58].end |
330.20721875 |
| transcript.pyannote[59].speaker |
SPEAKER_03 |
| transcript.pyannote[59].start |
300.28784375 |
| transcript.pyannote[59].end |
300.49034375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
322.44471875 |
| transcript.pyannote[60].end |
322.54596875 |
| transcript.pyannote[61].speaker |
SPEAKER_03 |
| transcript.pyannote[61].start |
322.54596875 |
| transcript.pyannote[61].end |
322.96784375 |
| transcript.pyannote[62].speaker |
SPEAKER_03 |
| transcript.pyannote[62].start |
330.17346875 |
| transcript.pyannote[62].end |
330.73034375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
330.44346875 |
| transcript.pyannote[63].end |
359.04659375 |
| transcript.pyannote[64].speaker |
SPEAKER_03 |
| transcript.pyannote[64].start |
338.35784375 |
| transcript.pyannote[64].end |
338.42534375 |
| transcript.pyannote[65].speaker |
SPEAKER_03 |
| transcript.pyannote[65].start |
338.49284375 |
| transcript.pyannote[65].end |
338.64471875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
338.64471875 |
| transcript.pyannote[66].end |
338.71221875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
346.32284375 |
| transcript.pyannote[67].end |
346.39034375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
346.66034375 |
| transcript.pyannote[68].end |
346.74471875 |
| transcript.pyannote[69].speaker |
SPEAKER_03 |
| transcript.pyannote[69].start |
354.60846875 |
| transcript.pyannote[69].end |
355.40159375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
357.59534375 |
| transcript.pyannote[70].end |
357.62909375 |
| transcript.pyannote[71].speaker |
SPEAKER_03 |
| transcript.pyannote[71].start |
357.62909375 |
| transcript.pyannote[71].end |
357.94971875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
359.36721875 |
| transcript.pyannote[72].end |
440.11409375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
422.69909375 |
| transcript.pyannote[73].end |
423.23909375 |
| transcript.pyannote[74].speaker |
SPEAKER_03 |
| transcript.pyannote[74].start |
436.36784375 |
| transcript.pyannote[74].end |
436.72221875 |
| transcript.pyannote[75].speaker |
SPEAKER_03 |
| transcript.pyannote[75].start |
438.93284375 |
| transcript.pyannote[75].end |
439.27034375 |
| transcript.pyannote[76].speaker |
SPEAKER_03 |
| transcript.pyannote[76].start |
439.28721875 |
| transcript.pyannote[76].end |
439.30409375 |
| transcript.pyannote[77].speaker |
SPEAKER_03 |
| transcript.pyannote[77].start |
439.33784375 |
| transcript.pyannote[77].end |
439.35471875 |
| transcript.pyannote[78].speaker |
SPEAKER_03 |
| transcript.pyannote[78].start |
440.11409375 |
| transcript.pyannote[78].end |
443.15159375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
441.34596875 |
| transcript.pyannote[79].end |
453.71534375 |
| transcript.pyannote[80].speaker |
SPEAKER_03 |
| transcript.pyannote[80].start |
443.16846875 |
| transcript.pyannote[80].end |
443.72534375 |
| transcript.pyannote[81].speaker |
SPEAKER_03 |
| transcript.pyannote[81].start |
446.86409375 |
| transcript.pyannote[81].end |
446.98221875 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
450.30659375 |
| transcript.pyannote[82].end |
450.59346875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
453.96846875 |
| transcript.pyannote[83].end |
503.78346875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
504.69471875 |
| transcript.pyannote[84].end |
506.21346875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
506.80409375 |
| transcript.pyannote[85].end |
509.70659375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
510.34784375 |
| transcript.pyannote[86].end |
513.60471875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
514.12784375 |
| transcript.pyannote[87].end |
524.26971875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
525.02909375 |
| transcript.pyannote[88].end |
527.37471875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
527.57721875 |
| transcript.pyannote[89].end |
530.49659375 |
| transcript.pyannote[90].speaker |
SPEAKER_03 |
| transcript.pyannote[90].start |
530.96909375 |
| transcript.pyannote[90].end |
538.09034375 |
| transcript.pyannote[91].speaker |
SPEAKER_03 |
| transcript.pyannote[91].start |
538.61346875 |
| transcript.pyannote[91].end |
547.62471875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
547.28721875 |
| transcript.pyannote[92].end |
549.31221875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
549.51471875 |
| transcript.pyannote[93].end |
549.70034375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
549.80159375 |
| transcript.pyannote[94].end |
551.57346875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
553.10909375 |
| transcript.pyannote[95].end |
558.01971875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
558.72846875 |
| transcript.pyannote[96].end |
589.35659375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
561.46221875 |
| transcript.pyannote[97].end |
561.88409375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
563.75721875 |
| transcript.pyannote[98].end |
564.24659375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
589.77846875 |
| transcript.pyannote[99].end |
596.12346875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
597.33846875 |
| transcript.pyannote[100].end |
599.26221875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
599.75159375 |
| transcript.pyannote[101].end |
605.62409375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
605.62409375 |
| transcript.pyannote[102].end |
607.46346875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
606.87284375 |
| transcript.pyannote[103].end |
612.89721875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
613.23471875 |
| transcript.pyannote[104].end |
618.70221875 |
| transcript.pyannote[105].speaker |
SPEAKER_03 |
| transcript.pyannote[105].start |
618.70221875 |
| transcript.pyannote[105].end |
620.54159375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
618.76971875 |
| transcript.pyannote[106].end |
619.07346875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
619.71471875 |
| transcript.pyannote[107].end |
619.73159375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
619.73159375 |
| transcript.pyannote[108].end |
623.30909375 |
| transcript.pyannote[109].speaker |
SPEAKER_03 |
| transcript.pyannote[109].start |
623.30909375 |
| transcript.pyannote[109].end |
623.73096875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
623.73096875 |
| transcript.pyannote[110].end |
623.96721875 |
| transcript.pyannote[111].speaker |
SPEAKER_03 |
| transcript.pyannote[111].start |
623.96721875 |
| transcript.pyannote[111].end |
624.03471875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
624.03471875 |
| transcript.pyannote[112].end |
624.10221875 |
| transcript.pyannote[113].speaker |
SPEAKER_03 |
| transcript.pyannote[113].start |
624.10221875 |
| transcript.pyannote[113].end |
624.16971875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
624.16971875 |
| transcript.pyannote[114].end |
624.27096875 |
| transcript.pyannote[115].speaker |
SPEAKER_03 |
| transcript.pyannote[115].start |
624.27096875 |
| transcript.pyannote[115].end |
625.30034375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
624.94596875 |
| transcript.pyannote[116].end |
632.86034375 |
| transcript.pyannote[117].speaker |
SPEAKER_03 |
| transcript.pyannote[117].start |
629.50221875 |
| transcript.pyannote[117].end |
629.83971875 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
632.11784375 |
| transcript.pyannote[118].end |
632.59034375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
632.94471875 |
| transcript.pyannote[119].end |
632.96159375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
632.96159375 |
| transcript.pyannote[120].end |
634.54784375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
633.14721875 |
| transcript.pyannote[121].end |
633.56909375 |
| transcript.whisperx[0].start |
0.089 |
| transcript.whisperx[0].end |
7.542 |
| transcript.whisperx[0].text |
謝主席 本席邀請部長 |
| transcript.whisperx[1].start |
21.374 |
| transcript.whisperx[1].end |
35.85 |
| transcript.whisperx[1].text |
我們也針對最近你們公布澳洲的冷凍豬肉豬腳驗出有含萊克多巴胺瘦肉精的部分一週內累計有3批 總重量是70.24噸 |
| transcript.whisperx[2].start |
39.494 |
| transcript.whisperx[2].end |
66.884 |
| transcript.whisperx[2].text |
但是食藥署表示說他沒有超過0.01ppm的限量標準所以沒有辦法去公佈他的流向但是本學要請教如果沒有公佈那未來我們的孩子本學非常重視我們孩子尤其學校營養午餐學童的食安問題所以本學要請教 |
| transcript.whisperx[3].start |
67.944 |
| transcript.whisperx[3].end |
70.027 |
| transcript.whisperx[3].text |
那不公佈等於是保障有含萊克多巴胺 |
| transcript.whisperx[4].start |
74.096 |
| transcript.whisperx[4].end |
80.798 |
| transcript.whisperx[4].text |
我們就公告原產地啊公告原產地 不公告流向啊你告訴我們說因為沒有超過所以不公告流向我們不知道它流到哪裡去啊會不會流到學校 會不會流到營養午餐去你也沒有標示啊 它怎麼會知道要去哪裡啊所以我們還是要希望 |
| transcript.whisperx[5].start |
101.023 |
| transcript.whisperx[5].end |
126.059 |
| transcript.whisperx[5].text |
要希望要保護我們的學童的一個食安安全嘛這一點是非常的重要那現在我們正值美國的這個關稅談判當中本來還是要說明喔也就是來源的標示這一點是絕對不能退讓的因為這個基本還是有一點點讓人民了解的一個範圍是不是 |
| transcript.whisperx[6].start |
130.366 |
| transcript.whisperx[6].end |
149.663 |
| transcript.whisperx[6].text |
是 那個請說明委員好 這邊跟委員做進一步的說明剛才提到的我們對於之前委員有特別提到可能對於到加工製品裡面比如說包裝的製品我們對豬肉的原料的原產地其實一直有在標示那對於散裝我們也是有這樣子的標示 |
| transcript.whisperx[7].start |
150.283 |
| transcript.whisperx[7].end |
173.742 |
| transcript.whisperx[7].text |
所以在民眾的資的權利上面其實一直都可以了解那我們對於這個目前看到的一個結果呢也特別鼓勵國內的廠商在進口的時候之前委員特別有提到說沒有特別在萊特多巴胺餵食的一個豬肉的來源未來也是我們加強來去鼓勵你這樣子我們看到了這個問題 |
| transcript.whisperx[8].start |
175.183 |
| transcript.whisperx[8].end |
203.358 |
| transcript.whisperx[8].text |
你從源頭去管控從源頭管控是非常的重要這也是政府的責任一定要加油好接下來本席要請教部長長照3.0那這個計畫我們要115年要啟動了那將原來的2.0社區多元的服務的基礎上去強化整個醫療以及照顧的一個整合這個其中還針對於中重度的這個中重症的照顧 |
| transcript.whisperx[9].start |
204.438 |
| transcript.whisperx[9].end |
219.63 |
| transcript.whisperx[9].text |
所以我們看到現在因為台灣老年人口大概20%了即將會達到所以在安養機構的數量本期看到這個數量我會嚇一跳2017年的1099家到2020年剩下1048家此外全台機構住宿式的長照機構截至去年僅有120餘家 |
| transcript.whisperx[10].start |
230.919 |
| transcript.whisperx[10].end |
252.154 |
| transcript.whisperx[10].text |
所以高年齡的人口一直增加那我們的等於是需求大於供給在這樣的一個情況之下我們幾個面向你要怎麼樣去解決這個問題人家願意要做那願意要做你的人力要怎麼樣這個來源同時也就是說你要怎麼樣讓 |
| transcript.whisperx[11].start |
255.393 |
| transcript.whisperx[11].end |
260.446 |
| transcript.whisperx[11].text |
這個業者也可以做得下去政府要怎麼去協助去輔導這個非常重要 |
| transcript.whisperx[12].start |
263.45 |
| transcript.whisperx[12].end |
288.074 |
| transcript.whisperx[12].text |
非常謝謝委員對長照這些老人的關心然後是請次長非常感謝楊雄英委員對我們的長照3.0的關心那我想委員所關心應該兩個問題第一個是機構的量能另外第二個是有關薪資的部分量能的部分我跟委員報告這個數字可能有一些需要我們現在目前其實事實上是增加我們機構的那個數目已經增加2794床 |
| transcript.whisperx[13].start |
292.495 |
| transcript.whisperx[13].end |
309.071 |
| transcript.whisperx[13].text |
那我們現在目前在多增加833床之後我們是增加到3627這是第一個床數第二個機構的數目你回答本席的是床數本席要告訴你的就是說因為未來我們之所以在明年要提升為100這個這個長照3.0也就是社會 |
| transcript.whisperx[14].start |
314.176 |
| transcript.whisperx[14].end |
329.818 |
| transcript.whisperx[14].text |
市場是有所需求的所以我們要怎麼樣去防範尤其在人力的部分市長人力的部分本期要跟你討論人力的部分有很多因為醫院也缺人 |
| transcript.whisperx[15].start |
330.759 |
| transcript.whisperx[15].end |
357.073 |
| transcript.whisperx[15].text |
還有很多醫院的護理人員他也跑到這個美容界去他這個市場是蠻寬廣的那我們也一直在鼓勵我們的護理人員我們要怎麼樣讓他們願意要留下來學校畢業的願意要在這個領域來工作現在在這個領域工作者他願意繼續做所以我們也跟部長一直在討論要怎麼樣 |
| transcript.whisperx[16].start |
359.794 |
| transcript.whisperx[16].end |
377.527 |
| transcript.whisperx[16].text |
至少你法你答應 邱部長答應本席說那你這一屆要把這個護病三班比的這個你要入法完成雖然慢了一點時間但是我們還是精進去推動但是在他們的薪資我們跟其他國家來比較還是差很多 |
| transcript.whisperx[17].start |
379.148 |
| transcript.whisperx[17].end |
401.124 |
| transcript.whisperx[17].text |
所以這個也就是本席認為說我們必須要從根源你如果只有叫私人機構你把它提高薪資那政府的立場在哪裡所以我們看到面臨到社會的面向是迫切需要的所以我就把這個功課給您也就是在我們的量能以及人力方面還有一個次長 |
| transcript.whisperx[18].start |
401.884 |
| transcript.whisperx[18].end |
418.317 |
| transcript.whisperx[18].text |
還有一個最重要的在他們整個的行政流程上面可以讓他們怎麼樣去簡化本身認為這必須要去做一個好好的研議尤其在整個行政流程方面怎麼讓他們簡化就像他們說的我們照顧人都照顧得很沒有時間了 |
| transcript.whisperx[19].start |
423.801 |
| transcript.whisperx[19].end |
445.189 |
| transcript.whisperx[19].text |
當然你不能完全沒有行政那你這個行政方面可以去再更精進簡化他們的流程減低這些照顧者他們的一個時間的壓縮本席認為應該是全方面的你認同嗎你非常認同你就把資料給本席接下來本席還要跟你討論的一個議題部長 |
| transcript.whisperx[20].start |
447.91 |
| transcript.whisperx[20].end |
465.086 |
| transcript.whisperx[20].text |
也就是我 次長你也先留一下因為現在很多的孩子都到外地去所以我們的長輩 以前我們說坐在家裡看天所以失智啊 這些很多 我們很不敢好不容易大家推動的關懷戰 |
| transcript.whisperx[21].start |
467.088 |
| transcript.whisperx[21].end |
484.604 |
| transcript.whisperx[21].text |
那這個關懷站的非常好你家有菜你拿菜在那邊剪大家聊聊天非常好11點吃完餐回去看個電視他睡覺這個非常好我真的是超級感動的這個政策我也感謝我們所有的廠商界 |
| transcript.whisperx[22].start |
485.485 |
| transcript.whisperx[22].end |
503.247 |
| transcript.whisperx[22].text |
善心人士大家來幫忙可是你也不能只有很多的委員都提出你也不能只有依靠民間的來照顧我們的長輩我們必須政府要有這個責任來照顧啊比如說你的這個每個月給人家一萬二 |
| transcript.whisperx[23].start |
504.761 |
| transcript.whisperx[23].end |
529.003 |
| transcript.whisperx[23].text |
的這個伙食費像我們有100個 90幾個對不對 那請教那一餐才多少錢雖然你們一餐基本號稱35塊但是實際上我們的通膨問題已經多少了我們還是要讓長者吃的放心吃的營養啊所以你這個16000多久沒調了 市長 |
| transcript.whisperx[24].start |
531.417 |
| transcript.whisperx[24].end |
533.699 |
| transcript.whisperx[24].text |
你從你的吃開始 你的伙食費要怎麼調 |
| transcript.whisperx[25].start |
553.251 |
| transcript.whisperx[25].end |
580.528 |
| transcript.whisperx[25].text |
對不對 這個是最直接 迫切需要啊他長者一定要吃然後我們還要派人把他載回去耶我們鼓勵他們出來啊對不對 付出的是這樣子的愛心所以我們希望大家都有長輩將心比心最重要的他們出來長輩跟長輩講話他很開心甚至我們以前還推動什麼我們還推動那個幼兒跟長輩一起他很開心 |
| transcript.whisperx[26].start |
581.869 |
| transcript.whisperx[26].end |
595.099 |
| transcript.whisperx[26].text |
阿公要講歌給孩子聽孩子聽得很開心 他要學台語哇 這個是全世界最美的風景所以在這樣的情況之下 你們一直點頭那你們到底要不要調聲啊我們的通本這麼嚴肅 |
| transcript.whisperx[27].start |
597.383 |
| transcript.whisperx[27].end |
611.738 |
| transcript.whisperx[27].text |
那部長 要不要調聲你的版理科從什麼時候開始到現在我們的通盤已經增加了多少你們多久研議告訴我們要增加多少你的儘快是多快 給我一個時間點好嗎 |
| transcript.whisperx[28].start |
618.344 |
| transcript.whisperx[28].end |
619.524 |
| transcript.whisperx[28].text |
我想這個確實也非常重要 |