| IVOD_ID |
161116 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161116 |
| 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 |
2025-05-08T12:24:33+08:00 |
| 結束時間 |
2025-05-08T12:33:15+08:00 |
| 影片長度 |
00:08:42 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/26c557d936b203c16a4dafae97dfb96fbf088656e97d3403567847e18f9cb587a4b7ee112536bc485ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
李坤城 |
| 委員發言時間 |
12:24:33 - 12:33:15 |
| 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_02 |
| transcript.pyannote[0].start |
4.77284375 |
| transcript.pyannote[0].end |
4.82346875 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
5.38034375 |
| transcript.pyannote[1].end |
6.64596875 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
7.57409375 |
| transcript.pyannote[2].end |
7.67534375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
7.67534375 |
| transcript.pyannote[3].end |
8.24909375 |
| transcript.pyannote[4].speaker |
SPEAKER_02 |
| transcript.pyannote[4].start |
8.24909375 |
| transcript.pyannote[4].end |
8.45159375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
8.45159375 |
| transcript.pyannote[5].end |
8.58659375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
8.48534375 |
| transcript.pyannote[6].end |
9.90284375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
10.83096875 |
| transcript.pyannote[7].end |
11.28659375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
12.19784375 |
| transcript.pyannote[8].end |
13.81784375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
14.93159375 |
| transcript.pyannote[9].end |
16.34909375 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
16.53471875 |
| transcript.pyannote[10].end |
17.26034375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
25.09034375 |
| transcript.pyannote[11].end |
26.62596875 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
26.72721875 |
| transcript.pyannote[12].end |
30.33846875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
31.55346875 |
| transcript.pyannote[13].end |
32.38034375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
32.85284375 |
| transcript.pyannote[14].end |
51.29721875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
33.54471875 |
| transcript.pyannote[15].end |
34.32096875 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
51.71909375 |
| transcript.pyannote[16].end |
52.79909375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
53.33909375 |
| transcript.pyannote[17].end |
56.07284375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
58.38471875 |
| transcript.pyannote[18].end |
66.21471875 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
66.07971875 |
| transcript.pyannote[19].end |
66.13034375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
66.13034375 |
| transcript.pyannote[20].end |
66.14721875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
66.21471875 |
| transcript.pyannote[21].end |
66.23159375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
66.23159375 |
| transcript.pyannote[22].end |
66.24846875 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
66.24846875 |
| transcript.pyannote[23].end |
66.58596875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
66.58596875 |
| transcript.pyannote[24].end |
70.41659375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
69.96096875 |
| transcript.pyannote[25].end |
73.01534375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
70.99034375 |
| transcript.pyannote[26].end |
71.46284375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
73.31909375 |
| transcript.pyannote[27].end |
77.41971875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
77.53784375 |
| transcript.pyannote[28].end |
78.04409375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
78.55034375 |
| transcript.pyannote[29].end |
81.89159375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
82.21221875 |
| transcript.pyannote[30].end |
86.02596875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
86.43096875 |
| transcript.pyannote[31].end |
86.85284375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
86.83596875 |
| transcript.pyannote[32].end |
90.51471875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
90.32909375 |
| transcript.pyannote[33].end |
93.04596875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
90.88596875 |
| transcript.pyannote[34].end |
91.49346875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
93.31596875 |
| transcript.pyannote[35].end |
93.46784375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
93.60284375 |
| transcript.pyannote[36].end |
97.50096875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
97.85534375 |
| transcript.pyannote[37].end |
99.55971875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
100.11659375 |
| transcript.pyannote[38].end |
103.47471875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
103.50846875 |
| transcript.pyannote[39].end |
105.26346875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
105.46596875 |
| transcript.pyannote[40].end |
106.69784375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
106.88346875 |
| transcript.pyannote[41].end |
110.19096875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
110.51159375 |
| transcript.pyannote[42].end |
111.37221875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
111.67596875 |
| transcript.pyannote[43].end |
113.09346875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
113.71784375 |
| transcript.pyannote[44].end |
118.54409375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
118.61159375 |
| transcript.pyannote[45].end |
121.76721875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
121.37909375 |
| transcript.pyannote[46].end |
122.40846875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
122.56034375 |
| transcript.pyannote[47].end |
188.72721875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
189.19971875 |
| transcript.pyannote[48].end |
191.41034375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
192.06846875 |
| transcript.pyannote[49].end |
194.70096875 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
194.22846875 |
| transcript.pyannote[50].end |
215.96346875 |
| transcript.pyannote[51].speaker |
SPEAKER_02 |
| transcript.pyannote[51].start |
216.60471875 |
| transcript.pyannote[51].end |
217.38096875 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
218.51159375 |
| transcript.pyannote[52].end |
230.96534375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
223.27034375 |
| transcript.pyannote[53].end |
223.57409375 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
231.18471875 |
| transcript.pyannote[54].end |
233.19284375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
233.19284375 |
| transcript.pyannote[55].end |
236.16284375 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
233.34471875 |
| transcript.pyannote[56].end |
236.24721875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
236.24721875 |
| transcript.pyannote[57].end |
246.55784375 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
246.00096875 |
| transcript.pyannote[58].end |
257.20596875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
257.20596875 |
| transcript.pyannote[59].end |
257.64471875 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
257.64471875 |
| transcript.pyannote[60].end |
262.03221875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
262.03221875 |
| transcript.pyannote[61].end |
262.21784375 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
262.21784375 |
| transcript.pyannote[62].end |
262.25159375 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
262.25159375 |
| transcript.pyannote[63].end |
274.78971875 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
275.22846875 |
| transcript.pyannote[64].end |
275.90346875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
275.76846875 |
| transcript.pyannote[65].end |
277.89471875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
278.19846875 |
| transcript.pyannote[66].end |
283.58159375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
285.01596875 |
| transcript.pyannote[67].end |
293.97659375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
293.25096875 |
| transcript.pyannote[68].end |
293.38596875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
293.97659375 |
| transcript.pyannote[69].end |
294.04409375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
294.04409375 |
| transcript.pyannote[70].end |
294.24659375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
294.24659375 |
| transcript.pyannote[71].end |
294.28034375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
294.28034375 |
| transcript.pyannote[72].end |
298.81971875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
294.76971875 |
| transcript.pyannote[73].end |
295.57971875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
299.20784375 |
| transcript.pyannote[74].end |
314.36159375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
307.18971875 |
| transcript.pyannote[75].end |
307.61159375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
309.88971875 |
| transcript.pyannote[76].end |
310.22721875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
314.36159375 |
| transcript.pyannote[77].end |
316.82534375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
314.37846875 |
| transcript.pyannote[78].end |
314.41221875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
317.50034375 |
| transcript.pyannote[79].end |
317.56784375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
317.56784375 |
| transcript.pyannote[80].end |
323.35596875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
323.69346875 |
| transcript.pyannote[81].end |
350.81159375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
329.53221875 |
| transcript.pyannote[82].end |
329.68409375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
329.80221875 |
| transcript.pyannote[83].end |
329.81909375 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
329.83596875 |
| transcript.pyannote[84].end |
329.88659375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
332.85659375 |
| transcript.pyannote[85].end |
333.22784375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
334.42596875 |
| transcript.pyannote[86].end |
334.44284375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
341.59784375 |
| transcript.pyannote[87].end |
342.05346875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
343.67346875 |
| transcript.pyannote[88].end |
343.69034375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
343.92659375 |
| transcript.pyannote[89].end |
343.97721875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
348.19596875 |
| transcript.pyannote[90].end |
348.85409375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
349.30971875 |
| transcript.pyannote[91].end |
349.84971875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
351.55409375 |
| transcript.pyannote[92].end |
353.54534375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
353.42721875 |
| transcript.pyannote[93].end |
356.29596875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
356.76846875 |
| transcript.pyannote[94].end |
359.26596875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
359.16471875 |
| transcript.pyannote[95].end |
359.40096875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
359.31659375 |
| transcript.pyannote[96].end |
361.02096875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
361.66221875 |
| transcript.pyannote[97].end |
363.78846875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
364.22721875 |
| transcript.pyannote[98].end |
366.92721875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
367.29846875 |
| transcript.pyannote[99].end |
374.25096875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
374.40284375 |
| transcript.pyannote[100].end |
377.01846875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
377.01846875 |
| transcript.pyannote[101].end |
377.96346875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
377.37284375 |
| transcript.pyannote[102].end |
381.45659375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
381.40596875 |
| transcript.pyannote[103].end |
389.59034375 |
| transcript.pyannote[104].speaker |
SPEAKER_02 |
| transcript.pyannote[104].start |
389.59034375 |
| transcript.pyannote[104].end |
389.77596875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
389.77596875 |
| transcript.pyannote[105].end |
390.60284375 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
389.84346875 |
| transcript.pyannote[106].end |
420.11721875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
398.09534375 |
| transcript.pyannote[107].end |
398.41596875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
414.22784375 |
| transcript.pyannote[108].end |
414.68346875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
419.00346875 |
| transcript.pyannote[109].end |
421.41659375 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
420.79221875 |
| transcript.pyannote[110].end |
436.65471875 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
428.52096875 |
| transcript.pyannote[111].end |
429.24659375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
429.31409375 |
| transcript.pyannote[112].end |
429.41534375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
429.41534375 |
| transcript.pyannote[113].end |
429.48284375 |
| transcript.pyannote[114].speaker |
SPEAKER_02 |
| transcript.pyannote[114].start |
436.99221875 |
| transcript.pyannote[114].end |
438.86534375 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
439.01721875 |
| transcript.pyannote[115].end |
440.38409375 |
| transcript.pyannote[116].speaker |
SPEAKER_02 |
| transcript.pyannote[116].start |
440.58659375 |
| transcript.pyannote[116].end |
462.03471875 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
462.03471875 |
| transcript.pyannote[117].end |
462.62534375 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
462.62534375 |
| transcript.pyannote[118].end |
462.64221875 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
463.14846875 |
| transcript.pyannote[119].end |
467.99159375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
468.04221875 |
| transcript.pyannote[120].end |
468.05909375 |
| transcript.pyannote[121].speaker |
SPEAKER_02 |
| transcript.pyannote[121].start |
468.05909375 |
| transcript.pyannote[121].end |
469.12221875 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
469.12221875 |
| transcript.pyannote[122].end |
474.96096875 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
474.28596875 |
| transcript.pyannote[123].end |
489.76034375 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
489.33846875 |
| transcript.pyannote[124].end |
517.67159375 |
| transcript.pyannote[125].speaker |
SPEAKER_02 |
| transcript.pyannote[125].start |
493.62471875 |
| transcript.pyannote[125].end |
493.69221875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
495.93659375 |
| transcript.pyannote[126].end |
495.97034375 |
| transcript.pyannote[127].speaker |
SPEAKER_02 |
| transcript.pyannote[127].start |
495.97034375 |
| transcript.pyannote[127].end |
496.64534375 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
496.64534375 |
| transcript.pyannote[128].end |
496.67909375 |
| transcript.pyannote[129].speaker |
SPEAKER_02 |
| transcript.pyannote[129].start |
497.69159375 |
| transcript.pyannote[129].end |
497.97846875 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
497.97846875 |
| transcript.pyannote[130].end |
498.06284375 |
| transcript.pyannote[131].speaker |
SPEAKER_02 |
| transcript.pyannote[131].start |
504.12096875 |
| transcript.pyannote[131].end |
505.01534375 |
| transcript.pyannote[132].speaker |
SPEAKER_02 |
| transcript.pyannote[132].start |
517.26659375 |
| transcript.pyannote[132].end |
517.63784375 |
| transcript.pyannote[133].speaker |
SPEAKER_02 |
| transcript.pyannote[133].start |
517.67159375 |
| transcript.pyannote[133].end |
517.89096875 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
517.80659375 |
| transcript.pyannote[134].end |
518.70096875 |
| transcript.pyannote[135].speaker |
SPEAKER_02 |
| transcript.pyannote[135].start |
518.70096875 |
| transcript.pyannote[135].end |
518.90346875 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
518.90346875 |
| transcript.pyannote[136].end |
522.00846875 |
| transcript.pyannote[137].speaker |
SPEAKER_02 |
| transcript.pyannote[137].start |
518.97096875 |
| transcript.pyannote[137].end |
520.69221875 |
| transcript.whisperx[0].start |
5.705 |
| transcript.whisperx[0].end |
7.966 |
| transcript.whisperx[0].text |
我們今天會通過這個兒童托育服務法 |
| transcript.whisperx[1].start |
32.905 |
| transcript.whisperx[1].end |
55.897 |
| transcript.whisperx[1].text |
有報告 應該會核定那這個我有看到就是說這個就是專為0到2歲的托育利益的專訪然後其中有一項就是說我們保留監視的影像這個儲存30天 然後上傳雲端特別是針對我們的托育機構嘛 對不對其中是不是有這一項那這一項之前是不是也有在做 |
| transcript.whisperx[2].start |
58.427 |
| transcript.whisperx[2].end |
85.72 |
| transcript.whisperx[2].text |
我們之前有一個這個拖音中心監視錄影設備設置及資訊管理利用辦法我們之前是不是有這個辦法我們之前就有可是它是儲存在拖音中心裡面沒有上傳雲端所以我們現在有一個監管雲對我們日後就是我們希望是能夠上傳在地方政府的雲端那現在就是說各個這一個不管是公托私托也有對不對應該是全面性的 |
| transcript.whisperx[3].start |
86.862 |
| transcript.whisperx[3].end |
110.755 |
| transcript.whisperx[3].text |
目前公司立在自己的通運中心都有都有嘛對不對但是他們就是自己保存沒有上傳到雲端所以我們現在是要求是各個縣市政府都要設立這個監管雲嗎那經費就是各個縣市政府自己在處理嗎中央我們補助他們中央會補助中央會補助這個地方政府那是指針對這個通運機構公共的通運機構嗎 |
| transcript.whisperx[4].start |
114.298 |
| transcript.whisperx[4].end |
128.535 |
| transcript.whisperx[4].text |
我們法令通過之後我們就會補助他就是公司裡都要上雲端都要上雲端就對了然後就是保存30天30日因為其實其實我們也擔心其實很多這個案件就是說發現說保存在自己的這一個這個脫肉機構裡面你萬一啦 |
| transcript.whisperx[5].start |
132.439 |
| transcript.whisperx[5].end |
156.213 |
| transcript.whisperx[5].text |
發生事情的時候那通常不知道為什麼這個影片就會找不到所以我們就上場運動當然就是說怎麼去使用它要有相關的配套的措施這個也要兼顧到這一個兒童他們的人權那也包含這個教保員他們的人權我覺得這個就是說這個相關的配套措施要來做好那我再請教一下 |
| transcript.whisperx[6].start |
156.693 |
| transcript.whisperx[6].end |
164.524 |
| transcript.whisperx[6].text |
因為現在今天是討論這個長照3.0那我們這一個長期照護師的師長也有來嘛那現在我再討論一個就是獨老的問題獨老 獨老的問題那現在就是說按照數據來講的話我這裡有2024年的一個數據新北市是全台灣獨老 |
| transcript.whisperx[7].start |
174.457 |
| transcript.whisperx[7].end |
190.797 |
| transcript.whisperx[7].text |
最多的縣市總計有18.9萬人然後其實包含這個台北市高雄市也有那我不知道這個衛福部有沒有去統計就是說那到底我們現在這個獨老的狀況是怎麼樣就是說你超過65歲然後在家裡面只有你一個這個長者在有沒有這個數據 |
| transcript.whisperx[8].start |
192.813 |
| transcript.whisperx[8].end |
213.004 |
| transcript.whisperx[8].text |
那請那個理事長非常感謝委員的關心我跟委員報告我們現在對於所謂獨老我們事實上是有一定的定義就主要指的就是說你的譬如你的這一個子女就兩人兩人都65歲以上這是第一個情況第二個情況可能就是說你有子女可是他不在你所居住的這一個縣市縣市喔就是那個 |
| transcript.whisperx[9].start |
218.712 |
| transcript.whisperx[9].end |
234.822 |
| transcript.whisperx[9].text |
在你現在目前的縣市之外就是你的那個照管的那一個區域以這個定義來說的話我們現在目前全台有五萬五千一百二十九人這是有列冊的是不是有列冊關懷 |
| transcript.whisperx[10].start |
237.203 |
| transcript.whisperx[10].end |
251.09 |
| transcript.whisperx[10].text |
但是我看這個數據也不一樣啊審計部是說五萬多但是你們自己的這個數據是39萬然後內政部更高內政部是六十幾萬報告委員這個事實上是那個定義的問題內政部他們那邊是指就是說你那個是指那個戶是指那個戶數 |
| transcript.whisperx[11].start |
254.051 |
| transcript.whisperx[11].end |
283.366 |
| transcript.whisperx[11].text |
那我們的定義比方就是說虛關懷者虛關懷就是我剛剛說的嘛就是說你要符合這兩個要件那其實範圍滿大你們是以縣市譬如說好那今天在我三重對然後如果說家裡面有一個65歲自己一個人居住的然後呢可是他子女呢一定要在這一個台北才算嗎那如果說他是在在蘆洲那蘆洲可能稍微近一點啦那在板橋那邊那這樣就這樣就不算了是不是 |
| transcript.whisperx[12].start |
285.083 |
| transcript.whisperx[12].end |
288.779 |
| transcript.whisperx[12].text |
那個我們主要的事大概是第一個當然他是自己一個人住 |
| transcript.whisperx[13].start |
289.431 |
| transcript.whisperx[13].end |
316.282 |
| transcript.whisperx[13].text |
然後第二個是說他的子女沒有辦法就近的協助他對 可是你們的範圍太大了是跨縣市喔如果跨峽的話大概在鄰近的我們應該是有縣市就是鄰近的部分我們其實是應該是會第一個是他的這個縣市政府可能會評估啦他的子女是不是能夠照顧他如果不能關懷他那他也可以跟我們提出來我們也會列入在我們的獨老的名冊上我意思就是說你們在用跨縣市 |
| transcript.whisperx[14].start |
317.703 |
| transcript.whisperx[14].end |
334.044 |
| transcript.whisperx[14].text |
那如果是在不是在是同樣的縣市但是不同區那多少人數應該會更多應該這樣講就是說當然戶籍裡面單獨一戶的人就是剛剛提到的那個大概是戶政的資料他的人數是多的 |
| transcript.whisperx[15].start |
334.505 |
| transcript.whisperx[15].end |
360.281 |
| transcript.whisperx[15].text |
可是我們各地方政府在做獨老的這個關懷方式第一個是他可以表達他有需要關懷那這個叫做我們所謂的列冊那我們到今年底大概去年的六月大概是五萬六千人那今年又增加了大概有六萬人那大概我們目前的定義是這個樣子我是討論定義啦我就是說你們現在定義是放的就是說比較寬啦就是說你是要跨縣市捏 |
| transcript.whisperx[16].start |
361.741 |
| transcript.whisperx[16].end |
387.208 |
| transcript.whisperx[16].text |
是不是 比如說你在新北 三重你要跨到基隆 跨到台北然後家裡面只有一個人 這才算是獨老那我意思就是說如果他是住三重但是子女可能在板橋 這樣就不算沒有 他也可以說他有需求我們也會列入第三個條款就是他認為他有需要我們就會把他列進來好 那現在就是說那你們現在對於這種獨老的照顧有沒有列在你們這一個長照3.0裡面 |
| transcript.whisperx[17].start |
390.269 |
| transcript.whisperx[17].end |
418.289 |
| transcript.whisperx[17].text |
報告委員我先做兩個回覆第一個就是說剛剛說的你現在說的這一個39萬跟這一個我們6萬中間有相差28萬那我必須要承認這個我們可能有低估所以我們現在目前其實賴清德總統他也非常關心這個問題所以我們現在目前會有一個我們現在目前會有一個計畫跟地方政府這邊大家共同我們必須要來做一次全國性的一個設備然後把這一個人數我想就是說真的需要關心的我們會把它 |
| transcript.whisperx[18].start |
419.169 |
| transcript.whisperx[18].end |
439.705 |
| transcript.whisperx[18].text |
我覺得需要做一個調查啦這個部分也跟委員報告我們跟內政部那邊已經開過幾次會了我們這個部分計畫會最近會來推出這是第一個重點第二個重點就是說我們現在目前如果說你有這一個其實跟委員報告其實你雖然是獨老可是也不見得就一定會需要受到照顧 |
| transcript.whisperx[19].start |
440.946 |
| transcript.whisperx[19].end |
458.472 |
| transcript.whisperx[19].text |
有些長輩可能我覺得他覺得Live Along可能他自己就想要這樣他也不想要受到人家的打擾所以我們現在最重要是有關懷需求者那有關懷需求的話我們現在目前就是說3號3.0這邊會把他列入那這個列入的話就是除了擴大我們現在目前的1966那部分之外另外我們會加強有關於這剛剛說的獨老的訪視 |
| transcript.whisperx[20].start |
463.206 |
| transcript.whisperx[20].end |
478.543 |
| transcript.whisperx[20].text |
就是說這獨老房子現在是各個縣市政府他們自己社會局在做是他們社會局但是我有一些都是民間自己團體在做像一些獨老送餐那些都是民間團體自己在做的包圍那些有一些是他自己其實因為我在台中當過社會局長 |
| transcript.whisperx[21].start |
479.784 |
| transcript.whisperx[21].end |
491.116 |
| transcript.whisperx[21].text |
有很多事實上是我們社會局我們委託我們用那個我們我們有委辦的方式就是說我們那個名冊給他之後然後呢我們來由他來做送餐我是希望說你們長照3.0把這個獨老這個這個這個有需要照顧的要把它列進去那有時候他他 |
| transcript.whisperx[22].start |
499.484 |
| transcript.whisperx[22].end |
520.361 |
| transcript.whisperx[22].text |
有時候老人家會覺得說我不需要你的照顧但實際上他可能有需要啊所以不是說我不需要你的照顧那你就不用照顧但實際上他可能老人家有說面子或是怎麼樣我覺得這個東西你們自己要去除了他主觀的意願之外一些客觀的一些條件你們也要去做評估啊OK 好吧今天就先這樣好 謝謝李委員 謝謝部長 |