video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fc78d56ce4a6375248edc39c825e59c15f16e2c62e3913b474ba16637283b6cca5ee903531ddfe835ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
涂權吉 |
委員發言時間 |
12:29:15 - 12:44:26 |
影片長度 |
911 |
會議時間 |
2024-11-21T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2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:審查中華民國114年度中央政府總預算案關於衛生福利部主管預算(公務預算及基金)。(僅詢答,113年12月6日下午5時截止收案)) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
2.42721875 |
transcript.pyannote[0].end |
3.59159375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
3.79409375 |
transcript.pyannote[1].end |
5.51534375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
15.13409375 |
transcript.pyannote[2].end |
15.16784375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
15.16784375 |
transcript.pyannote[3].end |
16.09596875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
15.53909375 |
transcript.pyannote[4].end |
16.11284375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
16.11284375 |
transcript.pyannote[5].end |
16.78784375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
17.37846875 |
transcript.pyannote[6].end |
18.25596875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
18.96471875 |
transcript.pyannote[7].end |
31.77284375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
32.65034375 |
transcript.pyannote[8].end |
52.03971875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
52.24221875 |
transcript.pyannote[9].end |
53.54159375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
54.33471875 |
transcript.pyannote[10].end |
58.38471875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
58.67159375 |
transcript.pyannote[11].end |
72.27284375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
71.73284375 |
transcript.pyannote[12].end |
72.01971875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
72.25596875 |
transcript.pyannote[13].end |
100.16721875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
98.53034375 |
transcript.pyannote[14].end |
102.90096875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
101.26409375 |
transcript.pyannote[15].end |
115.06784375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
114.86534375 |
transcript.pyannote[16].end |
116.38409375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
116.87346875 |
transcript.pyannote[17].end |
123.30284375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
123.42096875 |
transcript.pyannote[18].end |
126.74534375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
127.06596875 |
transcript.pyannote[19].end |
143.83971875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
144.51471875 |
transcript.pyannote[20].end |
147.18096875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
148.32846875 |
transcript.pyannote[21].end |
149.13846875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
150.03284375 |
transcript.pyannote[22].end |
151.21409375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
151.48409375 |
transcript.pyannote[23].end |
155.31471875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
155.50034375 |
transcript.pyannote[24].end |
176.79659375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
175.88534375 |
transcript.pyannote[25].end |
183.14159375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
183.64784375 |
transcript.pyannote[26].end |
187.42784375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
188.05221875 |
transcript.pyannote[27].end |
189.97596875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
189.97596875 |
transcript.pyannote[28].end |
195.12284375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
195.69659375 |
transcript.pyannote[29].end |
208.28534375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
208.03221875 |
transcript.pyannote[30].end |
208.23471875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
208.28534375 |
transcript.pyannote[31].end |
208.30221875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
208.30221875 |
transcript.pyannote[32].end |
208.33596875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
208.33596875 |
transcript.pyannote[33].end |
209.61846875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
208.69034375 |
transcript.pyannote[34].end |
211.33971875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
210.19221875 |
transcript.pyannote[35].end |
213.22971875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
211.77846875 |
transcript.pyannote[36].end |
212.35221875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
213.87096875 |
transcript.pyannote[37].end |
219.59159375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
217.07721875 |
transcript.pyannote[38].end |
218.83221875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
219.59159375 |
transcript.pyannote[39].end |
219.60846875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
219.62534375 |
transcript.pyannote[40].end |
227.37096875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
227.97846875 |
transcript.pyannote[41].end |
228.72096875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
229.21034375 |
transcript.pyannote[42].end |
231.48846875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
232.23096875 |
transcript.pyannote[43].end |
237.02346875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
237.02346875 |
transcript.pyannote[44].end |
237.04034375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
237.04034375 |
transcript.pyannote[45].end |
237.22596875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
237.22596875 |
transcript.pyannote[46].end |
255.82221875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
240.49971875 |
transcript.pyannote[47].end |
242.18721875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
246.50721875 |
transcript.pyannote[48].end |
247.40159375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
250.16909375 |
transcript.pyannote[49].end |
250.91159375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
255.82221875 |
transcript.pyannote[50].end |
259.73721875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
258.65721875 |
transcript.pyannote[51].end |
263.75346875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
261.86346875 |
transcript.pyannote[52].end |
266.53784375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
266.74034375 |
transcript.pyannote[53].end |
267.29721875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
267.90471875 |
transcript.pyannote[54].end |
272.34284375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
272.68034375 |
transcript.pyannote[55].end |
273.64221875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
276.34221875 |
transcript.pyannote[56].end |
277.99596875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
277.99596875 |
transcript.pyannote[57].end |
278.09721875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
278.26596875 |
transcript.pyannote[58].end |
278.33346875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
278.33346875 |
transcript.pyannote[59].end |
278.36721875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
278.55284375 |
transcript.pyannote[60].end |
278.58659375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
278.67096875 |
transcript.pyannote[61].end |
282.87284375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
278.80596875 |
transcript.pyannote[62].end |
279.43034375 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
279.80159375 |
transcript.pyannote[63].end |
279.90284375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
282.11346875 |
transcript.pyannote[64].end |
283.95284375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
283.64909375 |
transcript.pyannote[65].end |
293.97659375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
294.14534375 |
transcript.pyannote[66].end |
312.47159375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
315.96471875 |
transcript.pyannote[67].end |
323.42346875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
323.96346875 |
transcript.pyannote[68].end |
340.26471875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
339.48846875 |
transcript.pyannote[69].end |
353.08971875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
351.75659375 |
transcript.pyannote[70].end |
354.16971875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
353.78159375 |
transcript.pyannote[71].end |
355.03034375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
354.86159375 |
transcript.pyannote[72].end |
362.67471875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
360.41346875 |
transcript.pyannote[73].end |
365.40846875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
365.23971875 |
transcript.pyannote[74].end |
367.02846875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
366.50534375 |
transcript.pyannote[75].end |
378.03096875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
378.63846875 |
transcript.pyannote[76].end |
380.15721875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
379.63409375 |
transcript.pyannote[77].end |
381.62534375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
380.78159375 |
transcript.pyannote[78].end |
388.18971875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
388.02096875 |
transcript.pyannote[79].end |
409.08096875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
405.94221875 |
transcript.pyannote[80].end |
412.40534375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
412.05096875 |
transcript.pyannote[81].end |
414.97034375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
414.48096875 |
transcript.pyannote[82].end |
415.44284375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
415.02096875 |
transcript.pyannote[83].end |
418.48034375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
418.95284375 |
transcript.pyannote[84].end |
420.50534375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
420.87659375 |
transcript.pyannote[85].end |
424.67346875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
424.94346875 |
transcript.pyannote[86].end |
431.91284375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
432.50346875 |
transcript.pyannote[87].end |
436.68846875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
436.68846875 |
transcript.pyannote[88].end |
443.75909375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
444.07971875 |
transcript.pyannote[89].end |
447.03284375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
446.39159375 |
transcript.pyannote[90].end |
456.63471875 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
454.76159375 |
transcript.pyannote[91].end |
458.01846875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
458.37284375 |
transcript.pyannote[92].end |
465.46034375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
465.83159375 |
transcript.pyannote[93].end |
470.21909375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
469.20659375 |
transcript.pyannote[94].end |
471.26534375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
470.87721875 |
transcript.pyannote[95].end |
473.57721875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
474.33659375 |
transcript.pyannote[96].end |
483.28034375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
480.86721875 |
transcript.pyannote[97].end |
487.17846875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
484.64721875 |
transcript.pyannote[98].end |
484.74846875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
487.80284375 |
transcript.pyannote[99].end |
489.91221875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
490.28346875 |
transcript.pyannote[100].end |
491.27909375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
491.27909375 |
transcript.pyannote[101].end |
491.88659375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
491.88659375 |
transcript.pyannote[102].end |
491.95409375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
491.95409375 |
transcript.pyannote[103].end |
491.98784375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
491.98784375 |
transcript.pyannote[104].end |
492.03846875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
492.03846875 |
transcript.pyannote[105].end |
493.08471875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
493.08471875 |
transcript.pyannote[106].end |
499.48034375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
493.13534375 |
transcript.pyannote[107].end |
493.89471875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
497.57346875 |
transcript.pyannote[108].end |
508.13721875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
500.25659375 |
transcript.pyannote[109].end |
500.39159375 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
500.40846875 |
transcript.pyannote[110].end |
500.44221875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
503.63159375 |
transcript.pyannote[111].end |
504.15471875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
507.14159375 |
transcript.pyannote[112].end |
515.19096875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
511.95096875 |
transcript.pyannote[113].end |
513.30096875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
513.41909375 |
transcript.pyannote[114].end |
517.13159375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
517.67159375 |
transcript.pyannote[115].end |
523.24034375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
523.56096875 |
transcript.pyannote[116].end |
539.20409375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
540.01409375 |
transcript.pyannote[117].end |
540.97596875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
540.97596875 |
transcript.pyannote[118].end |
550.81409375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
544.23284375 |
transcript.pyannote[119].end |
546.47721875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
549.63284375 |
transcript.pyannote[120].end |
580.22721875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
580.51409375 |
transcript.pyannote[121].end |
581.81346875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
582.37034375 |
transcript.pyannote[122].end |
584.61471875 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
582.48846875 |
transcript.pyannote[123].end |
586.06596875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
585.08721875 |
transcript.pyannote[124].end |
591.06096875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
591.46596875 |
transcript.pyannote[125].end |
594.72284375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
595.49909375 |
transcript.pyannote[126].end |
601.35471875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
599.76846875 |
transcript.pyannote[127].end |
612.88034375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
612.05346875 |
transcript.pyannote[128].end |
612.76221875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
612.88034375 |
transcript.pyannote[129].end |
612.91409375 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
612.91409375 |
transcript.pyannote[130].end |
612.93096875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
612.93096875 |
transcript.pyannote[131].end |
612.96471875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
612.96471875 |
transcript.pyannote[132].end |
617.90909375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
613.25159375 |
transcript.pyannote[133].end |
613.43721875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
617.92596875 |
transcript.pyannote[134].end |
653.88659375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
653.19471875 |
transcript.pyannote[135].end |
672.01034375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
672.85409375 |
transcript.pyannote[136].end |
676.85346875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
674.18721875 |
transcript.pyannote[137].end |
674.57534375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
675.35159375 |
transcript.pyannote[138].end |
697.89659375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
697.05284375 |
transcript.pyannote[139].end |
700.42784375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
700.42784375 |
transcript.pyannote[140].end |
705.11909375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
705.11909375 |
transcript.pyannote[141].end |
713.86034375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
714.04596875 |
transcript.pyannote[142].end |
724.59284375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
724.59284375 |
transcript.pyannote[143].end |
725.53784375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
725.53784375 |
transcript.pyannote[144].end |
726.09471875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
726.09471875 |
transcript.pyannote[145].end |
727.39409375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
727.39409375 |
transcript.pyannote[146].end |
727.86659375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
728.37284375 |
transcript.pyannote[147].end |
729.73971875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
729.97596875 |
transcript.pyannote[148].end |
763.64159375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
763.87784375 |
transcript.pyannote[149].end |
768.14721875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
769.59846875 |
transcript.pyannote[150].end |
769.63221875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
769.63221875 |
transcript.pyannote[151].end |
769.66596875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
769.66596875 |
transcript.pyannote[152].end |
822.43409375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
822.06284375 |
transcript.pyannote[153].end |
851.44221875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
851.66159375 |
transcript.pyannote[154].end |
855.30659375 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
855.81284375 |
transcript.pyannote[155].end |
859.91346875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
860.06534375 |
transcript.pyannote[156].end |
863.64284375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
863.64284375 |
transcript.pyannote[157].end |
864.35159375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
864.35159375 |
transcript.pyannote[158].end |
864.75659375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
864.72284375 |
transcript.pyannote[159].end |
887.97659375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
873.73409375 |
transcript.pyannote[160].end |
875.99534375 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
876.51846875 |
transcript.pyannote[161].end |
877.53096875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
887.97659375 |
transcript.pyannote[162].end |
888.12846875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
889.07346875 |
transcript.pyannote[163].end |
895.36784375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
893.44409375 |
transcript.pyannote[164].end |
905.96534375 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
903.65346875 |
transcript.pyannote[165].end |
903.94034375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
905.96534375 |
transcript.pyannote[166].end |
906.43784375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
906.43784375 |
transcript.pyannote[167].end |
907.21409375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
906.47159375 |
transcript.pyannote[168].end |
907.58534375 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
909.00284375 |
transcript.pyannote[169].end |
910.97721875 |
transcript.whisperx[0].start |
2.469 |
transcript.whisperx[0].end |
31.196 |
transcript.whisperx[0].text |
好謝謝主席那請我們邱部長好部長部長在上個月底我們中國大陸福建省有公布了他的最新的政策措施就是拋出漳州市5年內要向臺灣的護理人員 |
transcript.whisperx[1].start |
32.711 |
transcript.whisperx[1].end |
53.346 |
transcript.whisperx[1].text |
招手每年提供240個工作崗位那他就是說根據台灣的學歷及工作經驗而且還可以享受這個獎勵補助大舉向台灣護理人員招手那這個消息我們衛福部有掌握到嗎當然有當然有 |
transcript.whisperx[2].start |
54.4 |
transcript.whisperx[2].end |
74.687 |
transcript.whisperx[2].text |
那針對這部分因為我們護理人員其實現在已經非常缺乏那像澳洲美國其實也都一直有在像我們在挖角那現在又中國大陸又加入這個行列那不知道我們衛福部針對這部分有沒有什麼措施來因應謝謝委員的關心關心護理人才的 |
transcript.whisperx[3].start |
76.687 |
transcript.whisperx[3].end |
103.602 |
transcript.whisperx[3].text |
的一個培育跟留任那這個部分我們國家本來就就是設定了一個三大方向的時候策略一直在積極進行希望不管是越多人來念然後考照率能夠提高留任的工作場域能夠更好薪水能夠更高對我知道有我們像我們針對這部分有推一些措施比如說剛剛有提到那個 |
transcript.whisperx[4].start |
104.662 |
transcript.whisperx[4].end |
125.992 |
transcript.whisperx[4].text |
大陸提的價錢我們這裡已經都比他高了我們這裡的薪水都比他高了所以大概那個不太可能可是你有沒有覺得說因為我知道我們部裡當然有一些措施那像有沒有一些比較具體的措施能夠留住這種護理人才其實 |
transcript.whisperx[5].start |
127.193 |
transcript.whisperx[5].end |
146.931 |
transcript.whisperx[5].text |
像八大醫治團體其實他們都有一直來提出聲明說要優化更好的護理工作環境以及為辛苦的護理人員加薪其實最好的方式還是保障我們的健保點值那針對這部分部長你的看法呢 |
transcript.whisperx[6].start |
150.1 |
transcript.whisperx[6].end |
166.133 |
transcript.whisperx[6].text |
我想給醫護人員能夠加薪更好的一個薪資我覺得是現在政府一直在努力的包括我們現在希望提高健保電池投入這個更多的健保資源 |
transcript.whisperx[7].start |
166.873 |
transcript.whisperx[7].end |
194.5 |
transcript.whisperx[7].text |
其實重點就是改善一個工作環境讓我們的醫療人員能夠更好的薪水能夠留得住來照顧人們對所以針對八大醫事團體針對說他們覺得這個最好最落實的政策方式就是保障健保點值0.95那這部分部長你同意嗎在政府這個部分不只其實只要大家我們現在投入的 |
transcript.whisperx[8].start |
195.8 |
transcript.whisperx[8].end |
209.398 |
transcript.whisperx[8].text |
建保的資源其實有700多億所以明年度會有更多的讓大家醫療工作整個國家的醫療工作人員能夠有更有量能來照顧保證建保點子0.95基本上 |
transcript.whisperx[9].start |
214.099 |
transcript.whisperx[9].end |
231.099 |
transcript.whisperx[9].text |
他們提出這個應該是最有效的方法這一部分部長你認不認同我們一致支援只要大家管理得當的話我相信甚至可以超過0.95對所以保障健保點子對於我們 |
transcript.whisperx[10].start |
232.267 |
transcript.whisperx[10].end |
255.227 |
transcript.whisperx[10].text |
對於留住這護理人員也是一個具體措施的方法嗎對不對保障護理人員有更多啦我們直接跟他加薪直接跟他獎勵金這個可能跟點子就沒關係我們現在用公務預算保障健保點子也是一個很有效的方法那是一部分啦那但是直接像現在是用公務預算直接給他獎勵 |
transcript.whisperx[11].start |
255.888 |
transcript.whisperx[11].end |
271.421 |
transcript.whisperx[11].text |
所以保障健保點值也是一個有效的方法嗎?你應該不反對嗎?不反對嘛對不對?好 那我們衛福部跟立法院在這次保障健保點值協商什麼時候通過這組決議?部長記得嗎? |
transcript.whisperx[12].start |
276.923 |
transcript.whisperx[12].end |
291.671 |
transcript.whisperx[12].text |
上次是9月吧好沒關係他是在113年7月16號7月16號那可是我看你們健保署網站最新公布的預估點值在113年第二季 |
transcript.whisperx[13].start |
294.292 |
transcript.whisperx[13].end |
312.139 |
transcript.whisperx[13].text |
那我們看到他這個浮動點值居然退回到108年的水準只剩下0.8847那不但沒有執行我們幾個月前的主決議居然這個健保點值還退步到5年前的水準這部分部長你有沒有注意到 |
transcript.whisperx[14].start |
316.021 |
transcript.whisperx[14].end |
337.091 |
transcript.whisperx[14].text |
我的意思是說不但沒有到0.95而且還退到108年的水準所以這部分我是認為部長之前不管在委員會還是在總質詢在媒體之前你都承諾會努力在明年6月我們達成健保點子保有0.95的目標 |
transcript.whisperx[15].start |
338.672 |
transcript.whisperx[15].end |
352.85 |
transcript.whisperx[15].text |
沒有錯吧這個部長在媒體也說過我一再重申我們會努力而且在努力之下以及現在行政院挹注的支援之下我相信應該會在有應該是會所以部長你也是設定這個目標嗎對對對 |
transcript.whisperx[16].start |
354.912 |
transcript.whisperx[16].end |
377.475 |
transcript.whisperx[16].text |
那可是我們現在看到不但沒有往這個目標前進而且還倒退到108年0847你現在提的這個部分是第二季啦對103年第二季就是4到6月啦那是自從大家的鼓勵之下那所以我們現在降勢用命支援益助希望 |
transcript.whisperx[17].start |
378.86 |
transcript.whisperx[17].end |
397.498 |
transcript.whisperx[17].text |
一直有提升其實像第三季在幾個區的一個點子就相當都有成長的不錯對我今天提出就是希望部長你不要忘記你的承諾跟自己說過的話要在明年6月達成那因為你現在 |
transcript.whisperx[18].start |
398.519 |
transcript.whisperx[18].end |
418.213 |
transcript.whisperx[18].text |
我看沒有往這目標前進還反而倒退我們是非常憂心部長一定是往前進的啦我怕部長說的這個會變成空頭支票大家會一起努力但是一定會前進的部長你說會朝這方向努力那可是我看到衛福部這次提出的公務預算 |
transcript.whisperx[19].start |
419.013 |
transcript.whisperx[19].end |
443.304 |
transcript.whisperx[19].text |
只有300多億那裡面300多億還包含了撥補國民年金的130多億那如果以這種預算你認為衛福部明年6月有辦法達到0.95嗎根本沒有看到你的預算你要怎麼做那個是公務預算因為其實所有的部門就只有衛福部 |
transcript.whisperx[20].start |
444.524 |
transcript.whisperx[20].end |
471.963 |
transcript.whisperx[20].text |
增加最多增加了300多億那你看喔你這個健保署提供的點子的數據再加上你的預算部長你明年6月底有信心達成嗎我們是很憂心看不到我們要單獨來看看那個健保這個部分就是說從公務很多從原來是應該在健保我們移出公務預算這個就100多億那部長你有信心達成嗎然後加上總額總額我們 |
transcript.whisperx[21].start |
475.386 |
transcript.whisperx[21].end |
486.484 |
transcript.whisperx[21].text |
這次最高推估也到達5.5我們會往這方面來努力那如果照你現在這樣的預算你認為明年6月你有信心達成嗎 |
transcript.whisperx[22].start |
487.861 |
transcript.whisperx[22].end |
514.743 |
transcript.whisperx[22].text |
我想大家一起努力應該很有機會達成你有沒有保證?你有沒有辦法保證?這種點子是一種各區管理的事情有時候可是你在委員會總質詢還有媒體訪問之前你都一直說要朝這個目標可是我們現在看你這個編列預算我們覺得像公共支票我們是另外還有健保健保這次的總額增加非常多所以部長你還是朝這個目標在邁進嘛對不對? |
transcript.whisperx[23].start |
517.845 |
transcript.whisperx[23].end |
538.894 |
transcript.whisperx[23].text |
當然一定全力以赴好那針對以上的部分我們希望針對我們衛福部一個月內之內可以把護理人員流失到國外醫院任職的人數能夠提出這個數據還有檢討報告這部分有辦法做到嗎以利我們後面護理流財的政策 |
transcript.whisperx[24].start |
540.066 |
transcript.whisperx[24].end |
562.872 |
transcript.whisperx[24].text |
怎麼去進行我們委員所隨時的我們來瞭解好麻煩你把這個數據做出來應該我們現在國內的護理條因為我們現在是非常憂心啦現在護理荒啦然後而且也看得到我們現在各國都在挖這個護理人員所以把這個數據統計出來然後再提出這個檢討報告還有針對我們健保點子0.95的部分 |
transcript.whisperx[25].start |
568.613 |
transcript.whisperx[25].end |
594.431 |
transcript.whisperx[25].text |
也希望提出這個計畫因為從這個預算真的看不出怎麼樣子去進行也讓我們能夠追蹤衛福部保障健保點值施行的進度然後讓我們能夠估這個預期的成效可以嗎好那這部分請部長要來讓我們來完成還有針對我們一直之前有提出部桃新屋分院 |
transcript.whisperx[26].start |
595.543 |
transcript.whisperx[26].end |
617.323 |
transcript.whisperx[26].text |
我現在看不到我們部桃新屋分院的進度捏部長記不記得我們還要去考察過這個一直有進度這個謝謝委員齁非常關心我也是關心那一邊海線那一邊真的非常感動也非常重要啦齁所以我們義務會在這邊一直努力那現在的進度呢現在已經準備在接受第二次的審查這林市長講 |
transcript.whisperx[27].start |
618.624 |
transcript.whisperx[27].end |
637.351 |
transcript.whisperx[27].text |
委員跟報告委員就是我們那個135床那其實是他的一般病床還包含的是6床的特殊病床還有8間的手術房因為這部分是我們經過我們的外部委員特別是在義工在另外的我們的整個建設的裡面我們要把他的設置標準弄得最符合我們現在的規定那 |
transcript.whisperx[28].start |
637.751 |
transcript.whisperx[28].end |
652.931 |
transcript.whisperx[28].text |
已經經過第二次的這個審查了在11月中旬大概一個禮拜多那委員有提出一些這個修正的意見那等部立桃園醫院這邊會把修正意見給我們我們就會再進入部裡面再送到行政院去 |
transcript.whisperx[29].start |
653.451 |
transcript.whisperx[29].end |
671.638 |
transcript.whisperx[29].text |
部長因為這個我們也去考察過你知道沿海醫療品質這些資源真的是非常匱乏那個可是你說這個有進度可是我看114年這醫療藥品基金會的預算書上面我沒有看到有關於我們部桃新屋分院 |
transcript.whisperx[30].start |
672.912 |
transcript.whisperx[30].end |
691.069 |
transcript.whisperx[30].text |
大樓動工的所有任何的預算都沒有看到他的預算啊因為要先經過我剛剛講的就是說我們的建這個蓋醫院的委員看了以後那要報行政院行政院這邊因為他們也要去爭取公建計畫那經過國防會這邊同意以後我們才會編列預算那預估這個19.3億的經費我們會分5年來編列 |
transcript.whisperx[31].start |
697.534 |
transcript.whisperx[31].end |
723.035 |
transcript.whisperx[31].text |
那有關新屋分院的預算大概什麼時候會編列我們大概是會在115年就是明年如果行政院這邊通過我們就會所以明年會編列就是列到115年好因為我看114年是沒有你說115年會編列因為他的行政流程還沒有完成好那希望針對這部分我們大家都非常關切那趕快進度一定要來按照這個進度來進行那115年會編列 |
transcript.whisperx[32].start |
724.876 |
transcript.whisperx[32].end |
745.669 |
transcript.whisperx[32].text |
我們把那個行政流程趕快完成那還有針對我們部桃樂生療養院樂生療養院從日記時代1930年創立到現在他之前也是收容麻風病患可是他現在已經轉型成為地區型的綜合醫院那針對這部分 |
transcript.whisperx[33].start |
747.29 |
transcript.whisperx[33].end |
767.504 |
transcript.whisperx[33].text |
因為他一直掛上療養院地方的鄉親很多民眾說一直都還被誤解成他這是精神病院的療養院那民眾還有很多地方鄉親都希望是不是能夠證明為衛生福利部熱身綜合醫院是不是有這個證明的可能機會 |
transcript.whisperx[34].start |
770.696 |
transcript.whisperx[34].end |
791.745 |
transcript.whisperx[34].text |
根委員報告陸森良醫院當然就是說已經是非常年代已久那從日據時代到現在那他其實是已經是地區的教學醫院他已經評鑑通過所以他有將近20個科別那188床的接診床剛剛您提到他非常正確就是我們現在漢森院民慢慢的就是越來越現在只剩下56名的漢森院民 |
transcript.whisperx[35].start |
792.225 |
transcript.whisperx[35].end |
792.545 |
transcript.whisperx[35].text |
李卓人議員 |
transcript.whisperx[36].start |
822.305 |
transcript.whisperx[36].end |
851.164 |
transcript.whisperx[36].text |
我今天會提出就是因為有很多的學生的家長跟學子他們有時候去那邊看病看診可是他拿一些藥帶回去是熱身療養院他說有時候會造成他們的困擾有時候其他的同學學生看到之後會有一些隱憂所以才會提出這個是不是直接他居然已經是綜合醫院是不是就可以把他改名為熱身綜合醫院 |
transcript.whisperx[37].start |
852.025 |
transcript.whisperx[37].end |
854.797 |
transcript.whisperx[37].text |
這樣子是不是能夠解決地方的一些困擾跟疑惑 |
transcript.whisperx[38].start |
857.132 |
transcript.whisperx[38].end |
881.714 |
transcript.whisperx[38].text |
好 我們會再質詢 這個可能也不是叫中衛院比較我們部立的比較少用的就是樂生醫院好 沒關係 他就是能夠證明 然後因為他像是地區型的綜合醫院那就請我們衛福部這邊怎麼樣來給他一個證明好不好好 這個我們因為已經有提出這個疑惑跟誤解了那我也希望說能夠解決地方鄉親居然有提出 而且 |
transcript.whisperx[39].start |
882.575 |
transcript.whisperx[39].end |
910.63 |
transcript.whisperx[39].text |
覺得改圍醫院也是實至名歸因為它現在確實是地方型的綜合醫院好這個當然剛剛執行長有講要多方考量那我希望這個因為我們有提出真的是地方的需求那我相信說這個改圍醫院應該也是適得其所是好那請部長這邊來跟我們協助幫忙好了解好謝謝謝謝好謝謝涂委員謝謝部長 |
IVOD_ID |
157352 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157352 |
日期 |
2024-11-21 |
會議資料.會議代碼 |
委員會-11-2-26-10 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
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.標題 |
第11屆第2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 |
2024-11-21T12:29:15+08:00 |
結束時間 |
2024-11-21T12:44:26+08:00 |
支援功能[0] |
ai-transcript |