iVOD / 163393

Field Value
IVOD_ID 163393
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163393
日期 2025-08-06
會議資料.會議代碼 委員會-11-3-26-23
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23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 23
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23次全體委員會議
影片種類 Clip
開始時間 2025-08-06T12:50:18+08:00
結束時間 2025-08-06T12:57:51+08:00
影片長度 00:07:33
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e1709aa86d7a0b9ca802ee290b1741f474966a8fa7f8d77940b7f58633b7fa1470aa9f53cbca5dff5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 12:50:18 - 12:57:51
會議時間 2025-08-06T09:00:00+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23次全體委員會議(事由:(上午) 邀請衛生福利部部長、司法院、法務部、教育部、內政部警政署就「因應近期多起社會重大事件,檢討家庭暴力防治法民事保護令制度及執行缺失,強化保護令之作為」進行專題報告,並備質詢。 (下午1時30分) 一、繼續審查行政院函請審議「兒童托育服務法草案」案。 二、繼續審查委員林月琴等16人擬具「兒童托育服務法草案」案。 三、繼續審查委員何欣純等16人擬具「兒童托育服務法草案」案。 四、繼續審查委員王育敏等24人擬具「兒童托育服務法草案」案。 五、繼續審查委員邱若華等16人擬具「兒童托育服務法草案」案。 六、繼續審查委員黃捷等21人擬具「兒童托育服務法草案」案。 七、繼續審查委員蔡易餘等17人擬具「兒童托育服務法草案」案。 八、繼續審查委員李坤城等22人擬具「兒童托育服務法草案」案。 九、繼續審查委員陳培瑜等19人擬具「兒童托育服務法草案」案。 十、繼續審查委員郭昱晴等21人擬具「兒童托育服務法草案」案。 十一、繼續審查委員陳素月等16人擬具「兒童托育服務法草案」案。 十二、繼續審查委員鄭天財Sra Kacaw等18人擬具「兒童托育服務法草案」案。 十三、繼續審查委員王美惠等19人擬具「兒童托育服務法草案」案。 十四、繼續審查委員林淑芬等25人擬具「兒童托育服務法草案」案。 十五、繼續審查委員王正旭等18人擬具「兒童托育服務法草案」案。 十六、繼續審查委員吳沛憶等19人擬具「兒童托育服務法草案」案。 十七、繼續審查委員游顥等17人擬具「兒童托育多元服務法草案」案。 十八、繼續審查委員范雲等17人擬具「兒童托育服務法草案」案。 十九、繼續審查委員李彥秀等16人擬具「兒童托育服務法草案」案。 二十、繼續審查委員羅廷瑋等17人擬具「兒童托育服務法草案」案。 二十一、審查委員張雅琳等16人擬具「兒童托育服務法草案」案。 二十二、審查委員吳琪銘等19人擬具「兒童托育服務法草案」案。 二十三、審查委員伍麗華Saidhai Tahovecahe等26人擬具「兒童托育服務法草案」案。 二十四、審查委員陳菁徽等17人擬具「兒童托育服務法草案」案。 二十五、審查委員蘇巧慧等16人擬具「兒童托育服務法草案」案。 二十六、審查委員顏寬恒等16人擬具「兒童托育服務法草案」案。 二十七、審查委員劉建國等18人擬具「兒童托育服務法草案」案。 二十八、審查委員黃健豪等17人擬具「兒童托育服務法草案」案。 二十九、審查委員洪孟楷等21人擬具「兒童托育服務法草案」案。 【逐條討論】 【第二十九案,如未經各黨團簽署不復議同意書,則不予審查】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.11534375
transcript.pyannote[0].end 0.46971875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 4.06409375
transcript.pyannote[1].end 5.24534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.03846875
transcript.pyannote[2].end 7.75971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 8.11409375
transcript.pyannote[3].end 8.92409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 11.55659375
transcript.pyannote[4].end 13.73346875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 14.12159375
transcript.pyannote[5].end 15.58971875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 15.84284375
transcript.pyannote[6].end 18.96471875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 20.02784375
transcript.pyannote[7].end 21.12471875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 21.81659375
transcript.pyannote[8].end 27.68909375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 28.12784375
transcript.pyannote[9].end 30.45659375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 30.49034375
transcript.pyannote[10].end 33.03846875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 33.29159375
transcript.pyannote[11].end 36.66659375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 38.82659375
transcript.pyannote[12].end 39.73784375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 39.53534375
transcript.pyannote[13].end 40.54784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 41.08784375
transcript.pyannote[14].end 45.84659375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 45.25596875
transcript.pyannote[15].end 46.11659375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 46.60596875
transcript.pyannote[16].end 49.91346875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 50.92596875
transcript.pyannote[17].end 57.72659375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 53.77784375
transcript.pyannote[18].end 55.34721875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 57.89534375
transcript.pyannote[19].end 62.51909375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 62.51909375
transcript.pyannote[20].end 63.49784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 62.87346875
transcript.pyannote[21].end 68.66159375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 68.79659375
transcript.pyannote[22].end 72.88034375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 72.88034375
transcript.pyannote[23].end 73.31909375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 73.31909375
transcript.pyannote[24].end 73.69034375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 73.52159375
transcript.pyannote[25].end 74.58471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 74.71971875
transcript.pyannote[26].end 75.34409375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 76.28909375
transcript.pyannote[27].end 76.77846875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 77.74034375
transcript.pyannote[28].end 79.64721875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 78.55034375
transcript.pyannote[29].end 79.47846875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 79.79909375
transcript.pyannote[30].end 79.81596875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 79.81596875
transcript.pyannote[31].end 80.18721875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 80.18721875
transcript.pyannote[32].end 80.27159375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 80.57534375
transcript.pyannote[33].end 80.59221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 80.59221875
transcript.pyannote[34].end 83.62971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 80.72721875
transcript.pyannote[35].end 81.08159375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 83.68034375
transcript.pyannote[36].end 85.72221875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 85.97534375
transcript.pyannote[37].end 90.04221875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 86.78534375
transcript.pyannote[38].end 87.05534375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 87.37596875
transcript.pyannote[39].end 87.64596875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 88.89471875
transcript.pyannote[40].end 90.41346875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 91.02096875
transcript.pyannote[41].end 92.79284375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 92.20221875
transcript.pyannote[42].end 93.72096875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 93.92346875
transcript.pyannote[43].end 96.10034375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 96.38721875
transcript.pyannote[44].end 98.04096875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 98.90159375
transcript.pyannote[45].end 102.20909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 99.69471875
transcript.pyannote[46].end 99.82971875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 101.77034375
transcript.pyannote[47].end 103.25534375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 102.22596875
transcript.pyannote[48].end 102.24284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 103.28909375
transcript.pyannote[49].end 106.34346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 103.87971875
transcript.pyannote[50].end 103.96409375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 106.34346875
transcript.pyannote[51].end 106.49534375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 106.49534375
transcript.pyannote[52].end 106.96784375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 106.96784375
transcript.pyannote[53].end 107.03534375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 107.03534375
transcript.pyannote[54].end 107.54159375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 107.54159375
transcript.pyannote[55].end 108.31784375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 108.31784375
transcript.pyannote[56].end 109.24596875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 110.14034375
transcript.pyannote[57].end 112.68846875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 113.11034375
transcript.pyannote[58].end 114.13971875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 114.93284375
transcript.pyannote[59].end 116.83971875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 117.86909375
transcript.pyannote[60].end 118.29096875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 119.30346875
transcript.pyannote[61].end 121.86846875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 123.42096875
transcript.pyannote[62].end 124.90596875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 125.32784375
transcript.pyannote[63].end 127.26846875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 127.89284375
transcript.pyannote[64].end 130.32284375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 130.37346875
transcript.pyannote[65].end 130.40721875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 130.40721875
transcript.pyannote[66].end 131.03159375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 130.47471875
transcript.pyannote[67].end 130.49159375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 130.50846875
transcript.pyannote[68].end 133.17471875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 133.66409375
transcript.pyannote[69].end 137.05596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 137.30909375
transcript.pyannote[70].end 138.25409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 138.76034375
transcript.pyannote[71].end 142.03409375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 142.10159375
transcript.pyannote[72].end 145.27409375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 144.71721875
transcript.pyannote[73].end 144.75096875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 145.27409375
transcript.pyannote[74].end 155.36534375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 155.36534375
transcript.pyannote[75].end 155.38221875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 155.38221875
transcript.pyannote[76].end 155.97284375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 155.97284375
transcript.pyannote[77].end 158.28471875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 156.15846875
transcript.pyannote[78].end 161.50784375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 162.21659375
transcript.pyannote[79].end 165.54096875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 162.25034375
transcript.pyannote[80].end 165.52409375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 165.54096875
transcript.pyannote[81].end 165.55784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 165.55784375
transcript.pyannote[82].end 170.35034375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 166.55346875
transcript.pyannote[83].end 167.75159375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 168.56159375
transcript.pyannote[84].end 168.98346875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 169.57409375
transcript.pyannote[85].end 173.38784375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 174.50159375
transcript.pyannote[86].end 174.97409375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 175.80096875
transcript.pyannote[87].end 178.93971875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 179.31096875
transcript.pyannote[88].end 181.85909375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 182.55096875
transcript.pyannote[89].end 184.66034375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 185.18346875
transcript.pyannote[90].end 186.65159375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 187.24221875
transcript.pyannote[91].end 191.27534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 191.27534375
transcript.pyannote[92].end 191.49471875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 191.49471875
transcript.pyannote[93].end 193.04721875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 191.57909375
transcript.pyannote[94].end 191.76471875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 192.49034375
transcript.pyannote[95].end 193.09784375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 193.41846875
transcript.pyannote[96].end 194.88659375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 194.02596875
transcript.pyannote[97].end 195.62909375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 195.20721875
transcript.pyannote[98].end 199.40909375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 198.64971875
transcript.pyannote[99].end 201.02909375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 201.51846875
transcript.pyannote[100].end 205.78784375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 203.77971875
transcript.pyannote[101].end 205.09596875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 205.21409375
transcript.pyannote[102].end 212.74034375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 207.27284375
transcript.pyannote[103].end 207.71159375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 209.12909375
transcript.pyannote[104].end 209.29784375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 210.02346875
transcript.pyannote[105].end 211.62659375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 212.80784375
transcript.pyannote[106].end 217.27971875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 213.12846875
transcript.pyannote[107].end 215.23784375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 217.70159375
transcript.pyannote[108].end 224.24909375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 221.78534375
transcript.pyannote[109].end 222.27471875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 224.24909375
transcript.pyannote[110].end 225.02534375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 224.26596875
transcript.pyannote[111].end 227.82659375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 227.97846875
transcript.pyannote[112].end 229.26096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 228.90659375
transcript.pyannote[113].end 228.92346875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 229.95284375
transcript.pyannote[114].end 231.23534375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 230.37471875
transcript.pyannote[115].end 231.43784375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 231.43784375
transcript.pyannote[116].end 235.35284375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 233.20971875
transcript.pyannote[117].end 235.77471875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 235.97721875
transcript.pyannote[118].end 239.16659375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 236.77034375
transcript.pyannote[119].end 238.96409375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 239.26784375
transcript.pyannote[120].end 239.45346875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 239.45346875
transcript.pyannote[121].end 239.80784375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 239.80784375
transcript.pyannote[122].end 240.51659375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 239.84159375
transcript.pyannote[123].end 241.93409375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 242.03534375
transcript.pyannote[124].end 243.72284375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 243.72284375
transcript.pyannote[125].end 244.65096875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 244.85346875
transcript.pyannote[126].end 246.52409375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 246.96284375
transcript.pyannote[127].end 251.94096875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 249.56159375
transcript.pyannote[128].end 250.74284375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 251.01284375
transcript.pyannote[129].end 251.50221875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 251.89034375
transcript.pyannote[130].end 252.36284375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 252.36284375
transcript.pyannote[131].end 256.39596875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 252.95346875
transcript.pyannote[132].end 256.93596875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 257.17221875
transcript.pyannote[133].end 257.42534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 257.61096875
transcript.pyannote[134].end 263.46659375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 263.87159375
transcript.pyannote[135].end 264.15846875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 264.46221875
transcript.pyannote[136].end 267.90471875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 268.39409375
transcript.pyannote[137].end 271.31346875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 271.63409375
transcript.pyannote[138].end 276.93284375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 275.78534375
transcript.pyannote[139].end 275.85284375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 275.95409375
transcript.pyannote[140].end 279.31221875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 277.94534375
transcript.pyannote[141].end 279.34596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 279.34596875
transcript.pyannote[142].end 281.16846875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 279.58221875
transcript.pyannote[143].end 285.72471875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 285.72471875
transcript.pyannote[144].end 285.99471875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 285.99471875
transcript.pyannote[145].end 286.65284375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 286.97346875
transcript.pyannote[146].end 289.42034375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 289.48784375
transcript.pyannote[147].end 290.60159375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 290.97284375
transcript.pyannote[148].end 291.81659375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 292.39034375
transcript.pyannote[149].end 294.97221875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 295.25909375
transcript.pyannote[150].end 297.57096875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 298.00971875
transcript.pyannote[151].end 298.31346875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 299.59596875
transcript.pyannote[152].end 301.04721875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 301.46909375
transcript.pyannote[153].end 305.80596875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 306.19409375
transcript.pyannote[154].end 312.08346875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 313.16346875
transcript.pyannote[155].end 315.03659375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 315.12096875
transcript.pyannote[156].end 321.83721875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 322.14096875
transcript.pyannote[157].end 324.01409375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 324.41909375
transcript.pyannote[158].end 326.25846875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 327.00096875
transcript.pyannote[159].end 327.96284375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 327.96284375
transcript.pyannote[160].end 328.21596875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 328.21596875
transcript.pyannote[161].end 331.99596875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 332.58659375
transcript.pyannote[162].end 335.45534375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 335.75909375
transcript.pyannote[163].end 337.02471875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 337.27784375
transcript.pyannote[164].end 338.84721875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 339.21846875
transcript.pyannote[165].end 343.97721875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 343.97721875
transcript.pyannote[166].end 344.31471875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 344.90534375
transcript.pyannote[167].end 378.63846875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 353.00534375
transcript.pyannote[168].end 354.11909375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 371.71971875
transcript.pyannote[169].end 382.43534375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 379.90409375
transcript.pyannote[170].end 379.92096875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 382.99221875
transcript.pyannote[171].end 387.10971875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 387.95346875
transcript.pyannote[172].end 389.21909375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 389.21909375
transcript.pyannote[173].end 389.33721875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 389.59034375
transcript.pyannote[174].end 389.60721875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 389.60721875
transcript.pyannote[175].end 390.60284375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 390.01221875
transcript.pyannote[176].end 390.58596875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 390.60284375
transcript.pyannote[177].end 390.63659375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 391.15971875
transcript.pyannote[178].end 391.17659375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 391.17659375
transcript.pyannote[179].end 392.02034375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 391.39596875
transcript.pyannote[180].end 392.93159375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 392.50971875
transcript.pyannote[181].end 398.61846875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 396.89721875
transcript.pyannote[182].end 397.42034375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 398.09534375
transcript.pyannote[183].end 401.94284375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 400.50846875
transcript.pyannote[184].end 401.77409375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 401.95971875
transcript.pyannote[185].end 403.44471875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 401.99346875
transcript.pyannote[186].end 407.66346875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 404.79471875
transcript.pyannote[187].end 405.50346875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 408.32159375
transcript.pyannote[188].end 415.22346875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 415.22346875
transcript.pyannote[189].end 415.45971875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 415.45971875
transcript.pyannote[190].end 416.52284375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 415.71284375
transcript.pyannote[191].end 415.83096875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 416.52284375
transcript.pyannote[192].end 416.53971875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 416.53971875
transcript.pyannote[193].end 416.97846875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 416.97846875
transcript.pyannote[194].end 424.96034375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 425.12909375
transcript.pyannote[195].end 426.64784375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 426.44534375
transcript.pyannote[196].end 426.47909375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 426.64784375
transcript.pyannote[197].end 426.96846875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 426.96846875
transcript.pyannote[198].end 434.47784375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 434.52846875
transcript.pyannote[199].end 435.35534375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 435.40596875
transcript.pyannote[200].end 435.45659375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 435.45659375
transcript.pyannote[201].end 437.22846875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 437.41409375
transcript.pyannote[202].end 449.91846875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 440.95784375
transcript.pyannote[203].end 443.69159375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 446.50971875
transcript.pyannote[204].end 447.03284375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 447.25221875
transcript.pyannote[205].end 447.65721875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 448.65284375
transcript.pyannote[206].end 452.58471875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 452.73659375
transcript.pyannote[207].end 452.97284375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 452.97284375
transcript.pyannote[208].end 454.25534375
transcript.whisperx[0].start 4.613
transcript.whisperx[0].end 8.837
transcript.whisperx[0].text 謝謝主席請一下邱部長邱部長我讓你turn the gear換場啦我不要問這個問題我問另外一個很重要的問題
transcript.whisperx[1].start 20.083
transcript.whisperx[1].end 36.452
transcript.whisperx[1].text 我去聞了就是加熱菸你們審查通過了你們在7月29號審查通過美商的菲利普莫里斯日商的潔泰日菸審查通過請問你什麼時候上市
transcript.whisperx[2].start 39.795
transcript.whisperx[2].end 46.065
transcript.whisperx[2].text 什麼時候可以上市因為這個是A5單位在處理一個月呢 兩個月呢這個要看他的一個 因為
transcript.whisperx[3].start 51.339
transcript.whisperx[3].end 74.09
transcript.whisperx[3].text 他們逼上來我當然有仔細的來看看他們有很多他們自行要同意的事情一定要廠商做到嘛做到以後才能夠進一步的簽約所以應該預計如果說廠商能夠配合的好的話應該幾個月就幾個月 一個月還兩個月 三個月你認為
transcript.whisperx[4].start 77.828
transcript.whisperx[4].end 97.725
transcript.whisperx[4].text 三個月應該可以吧一個月應該可以一個月大概不太可能因為他還要按照那樣去開始製造製造他要開始製造我們的符合我們的要求所以大概兩個月嘛可能要三個月三個月上市然後我就請問你審查標準是什麼
transcript.whisperx[5].start 99.082
transcript.whisperx[5].end 116.8
transcript.whisperx[5].text 審查標準你說以前的審查還是後來這一次審查通過的啊7月9號上個禮拜的事情啊審查的標準就是委員會審查的啊是什麼標準部長你看好看清楚喔我去文賴世保辦公室去文我去文7月30號我就去文了
transcript.whisperx[6].start 123.642
transcript.whisperx[6].end 136.278
transcript.whisperx[6].text 這個事情董事基金會非常感冒啊我也非常感冒啊我們希望你快但是要有標準啊結果我私底下問你們沒有標準你們的標準就是廠商的標準這何其的可恥啊衛福部怎麼會拿廠商標準跟他們的標準啊
transcript.whisperx[7].start 142.185
transcript.whisperx[7].end 161.324
transcript.whisperx[7].text 不可能拿廠商來表演 不然我們會省兩人多到最後就是因為有高層施壓 媒體施壓高層施壓 所以國建署的署長也因此退休了我們都一直按照那個審查的辦法進行為什麼我的文跟您要了一個禮拜 要不到答案
transcript.whisperx[8].start 162.686
transcript.whisperx[8].end 164.309
transcript.whisperx[8].text 我今天來講是很嚴肅告訴你我
transcript.whisperx[9].start 175.854
transcript.whisperx[9].end 192.85
transcript.whisperx[9].text 一個國會議員問你你們審完了你總是可以告訴我們標準是怎麼審的結果你一個禮拜都不給我回私底下也不敢講然後呢我聽到的是你們的標準就是廠商的標準不可能上全入國啊
transcript.whisperx[10].start 193.47
transcript.whisperx[10].end 199.232
transcript.whisperx[10].text 不可能 加熱煙啊如果廠商的標準那為什麼兩年省那麼久啊因為有高層受益啊你們以前黨獨處之下黨不獨會國務院署長下台啦我們面對各方面的要已經好幾年了但是我們都堅守專業的專業的審查標準我看你偶爾你到我們參議會的時候我說你很棒來我們參議會這裡或者說加熱煙就趕快省但是越有標準結果到現在為止
transcript.whisperx[11].start 223.019
transcript.whisperx[11].end 245.899
transcript.whisperx[11].text 我問你的標準在哪裡你今天給我標準我就服氣了今天我要一個禮拜然後完全不回火完全不回火喔報告委員你給我時間我最快的速度給你幾天時間 三天可以嗎好 三天三天 馬上給我答案標準在哪裡 好不好否則我高度的質疑你的標準就是廠商的標準這個一定 報告委員這個
transcript.whisperx[12].start 247.04
transcript.whisperx[12].end 256.628
transcript.whisperx[12].text 我們在講這件事情的時候一定要尊重這個審查委員好 那我就告訴你了都是教授部長沒有人可以去影響那些部長我告訴你了二三十個教授來來來 部長我告訴你了因為我得到的是說標準在哪裡國際的標準國際標準是什麼沒有
transcript.whisperx[13].start 263.894
transcript.whisperx[13].end 289.007
transcript.whisperx[13].text 這樣他就是用國際標準這樣來說結果沒有conversion就是沒有收斂啦你知道嗎沒有這個沒有統一起來這個很嚴重喔這障礙我們的健康啊因為這個是投票每一個專家去投票我知道啦你投票我知道啦問題是這個都是可以運作的啦來第二個問題喔今天幾個小時才公布的川普說幾個小時
transcript.whisperx[14].start 292.429
transcript.whisperx[14].end 310.547
transcript.whisperx[14].text 你看接受CNBC專訪他對進口藥品的關稅要一開始少一點一年到一年半150%之後要到250%台灣的藥品到美國去有多少2024年的統計我們有10億美金
transcript.whisperx[15].start 313.206
transcript.whisperx[15].end 338.724
transcript.whisperx[15].text 那麼我們百分之三十去美國我們百分之三十去美國這個台幣現在這個匯率是過去的數字了那麼十億美金我就請教部長請教部長對國內的其實我們的資料業其實不怎麼樣沒有很厲害啦但是影響也蠻大的喔這個你有什麼因應沒有
transcript.whisperx[16].start 339.304
transcript.whisperx[16].end 367.48
transcript.whisperx[16].text 好的 川普說的喔 川普說的喔川普大帝喔 川普爸爸說的喔報告委員 我們怎麼樣增加我們的醫藥品醫材的韌性我們這幾年來已經做好非常好的整備第一個就是說我們的缺藥平台建立的非常完整只要六個月以內的必要藥品有缺完馬上通報馬上處理第二個我們增加國產的學名藥而且給他更好的批價
transcript.whisperx[17].start 368.641
transcript.whisperx[17].end 378.332
transcript.whisperx[17].text 讓更多的學民要能夠得到...我問你說你有沒有對國內因為有時間到了不要拖了喔對國內的藥廠有沒有輔導啦有沒有輔導有沒有輔導他因為如果250%美國就免去啊美國一年半你又不要去了啊你要去什麼250%咧你要怎麼賣
transcript.whisperx[18].start 388.024
transcript.whisperx[18].end 392.749
transcript.whisperx[18].text 一年半你又有250%目前到醫藥品醫材還沒有在這一波來談的當中都沒有談可是他已經講對世界要靠藥品250%他講的10個小時以前講的幾個小時以前講的最新的消息
transcript.whisperx[19].start 408.383
transcript.whisperx[19].end 417.808
transcript.whisperx[19].text 最新的消息我們這個再去了解一下因為現在是沒有什麼你那個對我們川普說要250%一年半以後250%這個影響評估能不能一個禮拜以內給我們這個報告可以嗎
transcript.whisperx[20].start 425.191
transcript.whisperx[20].end 447.825
transcript.whisperx[20].text 好的我們一個禮拜以內因為這個稅率他川普變來變去我們很難掌握但是我們會把我們所掌握的以及我們因應的一個禮拜可以嗎可以啊沒問題報告可以好沒問題三天內給我為什麼我已經要標準一個禮拜要不到好的好的一個禮拜以內就川普的這個宣布對國內藥品的影響藥品出口的這個對出口的影響的影響好跟我們報告好謝謝好謝謝賴委員的發言