iVOD / 158143

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f7e4b646118ff6a1f7a2f9224b02dcfdc691fc1ddc136966049c5ec402f88f0f2cdafff4c0ecf7955ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 09:43:20 - 10:00:01
影片長度 1001
會議時間 2024-12-16T09:00:00+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14次全體委員會議(事由:一、邀請衛生福利部部長列席報告業務概況,並備質詢。 二、邀請衛生福利部部長、考試院、行政院人事行政總處針對「所屬機關有關霸凌事件之調查檢討」進行專題報告,並備質詢。 【業務報告及專題報告綜合詢答】)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 13.90221875
transcript.pyannote[0].end 15.48846875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 15.57284375
transcript.pyannote[1].end 16.63596875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 16.66971875
transcript.pyannote[2].end 17.56409375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 18.10409375
transcript.pyannote[3].end 18.91409375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 18.35721875
transcript.pyannote[4].end 19.55534375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 19.47096875
transcript.pyannote[5].end 20.66909375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 19.69034375
transcript.pyannote[6].end 20.90534375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 21.10784375
transcript.pyannote[7].end 22.15409375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 29.39346875
transcript.pyannote[8].end 32.05971875
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 30.57471875
transcript.pyannote[9].end 31.38471875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 33.20721875
transcript.pyannote[10].end 34.00034375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 34.48971875
transcript.pyannote[11].end 36.12659375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 36.54846875
transcript.pyannote[12].end 38.92784375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 39.72096875
transcript.pyannote[13].end 43.33221875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 44.15909375
transcript.pyannote[14].end 58.95846875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 59.56596875
transcript.pyannote[15].end 63.80159375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 65.37096875
transcript.pyannote[16].end 67.19346875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 67.53096875
transcript.pyannote[17].end 75.29346875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 75.69846875
transcript.pyannote[18].end 78.43221875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 78.65159375
transcript.pyannote[19].end 86.26221875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 87.05534375
transcript.pyannote[20].end 88.87784375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 89.80596875
transcript.pyannote[21].end 90.34596875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 90.75096875
transcript.pyannote[22].end 94.90221875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 94.96971875
transcript.pyannote[23].end 108.52034375
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 109.85346875
transcript.pyannote[24].end 128.26409375
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 128.71971875
transcript.pyannote[25].end 134.91284375
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 135.35159375
transcript.pyannote[26].end 147.26534375
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 147.55221875
transcript.pyannote[27].end 150.60659375
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 151.31534375
transcript.pyannote[28].end 153.94784375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 153.94784375
transcript.pyannote[29].end 162.03096875
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 165.27096875
transcript.pyannote[30].end 169.10159375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 170.24909375
transcript.pyannote[31].end 179.68221875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 179.78346875
transcript.pyannote[32].end 183.24284375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 183.59721875
transcript.pyannote[33].end 186.01034375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 186.66846875
transcript.pyannote[34].end 187.17471875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 188.03534375
transcript.pyannote[35].end 191.78159375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 192.30471875
transcript.pyannote[36].end 196.47284375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 197.14784375
transcript.pyannote[37].end 199.98284375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 200.62409375
transcript.pyannote[38].end 204.97784375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 205.90596875
transcript.pyannote[39].end 207.66096875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 207.91409375
transcript.pyannote[40].end 209.04471875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 209.58471875
transcript.pyannote[41].end 228.87284375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 229.58159375
transcript.pyannote[42].end 231.28596875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 231.87659375
transcript.pyannote[43].end 242.77784375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 243.03096875
transcript.pyannote[44].end 254.23596875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 255.40034375
transcript.pyannote[45].end 259.66971875
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 261.62721875
transcript.pyannote[46].end 262.65659375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 262.65659375
transcript.pyannote[47].end 263.61846875
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 264.10784375
transcript.pyannote[48].end 266.72346875
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 267.48284375
transcript.pyannote[49].end 268.02284375
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 268.47846875
transcript.pyannote[50].end 277.06784375
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 277.18596875
transcript.pyannote[51].end 281.40471875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 282.88971875
transcript.pyannote[52].end 290.17971875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 290.16284375
transcript.pyannote[53].end 296.82846875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 297.04784375
transcript.pyannote[54].end 299.03909375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 299.46096875
transcript.pyannote[55].end 310.10909375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 310.24409375
transcript.pyannote[56].end 320.82471875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 321.19596875
transcript.pyannote[57].end 331.06784375
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 329.90346875
transcript.pyannote[58].end 333.73409375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 333.59909375
transcript.pyannote[59].end 338.44221875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 339.33659375
transcript.pyannote[60].end 340.53471875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 341.66534375
transcript.pyannote[61].end 353.00534375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 353.47784375
transcript.pyannote[62].end 354.92909375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 355.40159375
transcript.pyannote[63].end 358.01721875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 358.96221875
transcript.pyannote[64].end 361.49346875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 361.62846875
transcript.pyannote[65].end 362.50596875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 363.29909375
transcript.pyannote[66].end 363.83909375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 364.53096875
transcript.pyannote[67].end 366.37034375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 367.56846875
transcript.pyannote[68].end 373.12034375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 373.79534375
transcript.pyannote[69].end 374.58846875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 375.80346875
transcript.pyannote[70].end 377.89596875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 378.33471875
transcript.pyannote[71].end 379.34721875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 380.74784375
transcript.pyannote[72].end 382.62096875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 383.11034375
transcript.pyannote[73].end 384.00471875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 384.84846875
transcript.pyannote[74].end 388.44284375
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 389.06721875
transcript.pyannote[75].end 394.58534375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 395.61471875
transcript.pyannote[76].end 399.79971875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 400.50846875
transcript.pyannote[77].end 405.03096875
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 406.14471875
transcript.pyannote[78].end 407.00534375
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 408.06846875
transcript.pyannote[79].end 412.35471875
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 412.67534375
transcript.pyannote[80].end 429.78659375
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 427.62659375
transcript.pyannote[81].end 428.41971875
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 430.24221875
transcript.pyannote[82].end 441.29534375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 441.49784375
transcript.pyannote[83].end 446.32409375
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 447.13409375
transcript.pyannote[84].end 448.97346875
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 448.97346875
transcript.pyannote[85].end 449.00721875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 449.54721875
transcript.pyannote[86].end 450.49221875
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 450.39096875
transcript.pyannote[87].end 450.42471875
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 450.42471875
transcript.pyannote[88].end 450.44159375
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 450.49221875
transcript.pyannote[89].end 452.26409375
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 452.33159375
transcript.pyannote[90].end 484.88346875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 456.66846875
transcript.pyannote[91].end 456.95534375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 471.78846875
transcript.pyannote[92].end 471.80534375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 471.80534375
transcript.pyannote[93].end 473.00346875
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 485.42346875
transcript.pyannote[94].end 489.11909375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 488.69721875
transcript.pyannote[95].end 491.14409375
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 489.13596875
transcript.pyannote[96].end 489.15284375
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 489.67596875
transcript.pyannote[97].end 489.96284375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 492.44346875
transcript.pyannote[98].end 498.24846875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 498.56909375
transcript.pyannote[99].end 498.99096875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 498.67034375
transcript.pyannote[100].end 500.42534375
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 500.64471875
transcript.pyannote[101].end 502.88909375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 504.13784375
transcript.pyannote[102].end 539.06909375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 539.23784375
transcript.pyannote[103].end 551.32034375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 551.69159375
transcript.pyannote[104].end 582.04971875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 582.08346875
transcript.pyannote[105].end 587.65221875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 587.90534375
transcript.pyannote[106].end 588.42846875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 588.74909375
transcript.pyannote[107].end 596.37659375
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 596.37659375
transcript.pyannote[108].end 605.47221875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 596.89971875
transcript.pyannote[109].end 597.22034375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 598.85721875
transcript.pyannote[110].end 600.03846875
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 605.60721875
transcript.pyannote[111].end 608.27346875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 608.27346875
transcript.pyannote[112].end 612.99846875
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 608.30721875
transcript.pyannote[113].end 608.67846875
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 613.20096875
transcript.pyannote[114].end 614.33159375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 614.71971875
transcript.pyannote[115].end 623.47784375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 623.51159375
transcript.pyannote[116].end 627.76409375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 628.64159375
transcript.pyannote[117].end 633.53534375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 634.24409375
transcript.pyannote[118].end 635.91471875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 636.67409375
transcript.pyannote[119].end 640.89284375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 640.89284375
transcript.pyannote[120].end 641.41596875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 641.41596875
transcript.pyannote[121].end 647.40659375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 648.08159375
transcript.pyannote[122].end 649.24596875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 649.76909375
transcript.pyannote[123].end 651.45659375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 652.03034375
transcript.pyannote[124].end 652.58721875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 653.36346875
transcript.pyannote[125].end 654.20721875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 654.79784375
transcript.pyannote[126].end 665.00721875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 665.15909375
transcript.pyannote[127].end 665.85096875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 666.67784375
transcript.pyannote[128].end 671.26784375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 671.70659375
transcript.pyannote[129].end 673.39409375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 673.83284375
transcript.pyannote[130].end 681.40971875
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 681.73034375
transcript.pyannote[131].end 685.03784375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 685.39221875
transcript.pyannote[132].end 687.48471875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 688.61534375
transcript.pyannote[133].end 693.44159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 688.71659375
transcript.pyannote[134].end 688.73346875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 688.73346875
transcript.pyannote[135].end 688.75034375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 688.81784375
transcript.pyannote[136].end 688.83471875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 688.83471875
transcript.pyannote[137].end 688.90221875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 688.90221875
transcript.pyannote[138].end 688.95284375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 688.95284375
transcript.pyannote[139].end 688.98659375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 694.06596875
transcript.pyannote[140].end 696.93471875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 697.64346875
transcript.pyannote[141].end 753.88784375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 754.66409375
transcript.pyannote[142].end 754.90034375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 755.28846875
transcript.pyannote[143].end 773.19284375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 773.68221875
transcript.pyannote[144].end 782.00159375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 782.99721875
transcript.pyannote[145].end 786.22034375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 787.89096875
transcript.pyannote[146].end 791.56971875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 791.89034375
transcript.pyannote[147].end 793.45971875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 794.16846875
transcript.pyannote[148].end 795.85596875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 797.57721875
transcript.pyannote[149].end 799.95659375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 799.97346875
transcript.pyannote[150].end 800.02409375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 800.56409375
transcript.pyannote[151].end 802.53846875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 802.97721875
transcript.pyannote[152].end 808.47846875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 809.20409375
transcript.pyannote[153].end 811.66784375
transcript.pyannote[154].speaker SPEAKER_04
transcript.pyannote[154].start 813.01784375
transcript.pyannote[154].end 814.33409375
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 814.51971875
transcript.pyannote[155].end 815.24534375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 816.17346875
transcript.pyannote[156].end 821.43846875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 821.99534375
transcript.pyannote[157].end 824.29034375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 824.81346875
transcript.pyannote[158].end 849.46784375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 849.80534375
transcript.pyannote[159].end 850.66596875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 850.91909375
transcript.pyannote[160].end 857.07846875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 857.80409375
transcript.pyannote[161].end 863.59221875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 864.14909375
transcript.pyannote[162].end 868.95846875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 869.61659375
transcript.pyannote[163].end 871.84409375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 872.40096875
transcript.pyannote[164].end 873.85221875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 874.12221875
transcript.pyannote[165].end 876.38346875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 876.29909375
transcript.pyannote[166].end 876.31596875
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 876.31596875
transcript.pyannote[167].end 876.33284375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 876.33284375
transcript.pyannote[168].end 876.97409375
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 876.97409375
transcript.pyannote[169].end 877.02471875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 877.02471875
transcript.pyannote[170].end 877.42971875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 877.37909375
transcript.pyannote[171].end 883.89284375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 877.42971875
transcript.pyannote[172].end 877.51409375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 884.38221875
transcript.pyannote[173].end 884.85471875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 886.47471875
transcript.pyannote[174].end 890.06909375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 890.08596875
transcript.pyannote[175].end 892.00971875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 892.44846875
transcript.pyannote[176].end 895.51971875
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 895.51971875
transcript.pyannote[177].end 900.98721875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 901.45971875
transcript.pyannote[178].end 904.27784375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 904.69971875
transcript.pyannote[179].end 932.10471875
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 932.62784375
transcript.pyannote[180].end 934.16346875
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 932.72909375
transcript.pyannote[181].end 932.96534375
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 933.96096875
transcript.pyannote[182].end 935.59784375
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 935.91846875
transcript.pyannote[183].end 937.99409375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 938.75346875
transcript.pyannote[184].end 948.82784375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 949.57034375
transcript.pyannote[185].end 952.60784375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 953.35034375
transcript.pyannote[186].end 954.02534375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 954.24471875
transcript.pyannote[187].end 955.13909375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 955.74659375
transcript.pyannote[188].end 959.03721875
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 958.90221875
transcript.pyannote[189].end 958.96971875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 959.03721875
transcript.pyannote[190].end 969.39846875
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 970.07346875
transcript.pyannote[191].end 978.27471875
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 979.20284375
transcript.pyannote[192].end 984.23159375
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 984.45096875
transcript.pyannote[193].end 987.21846875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 987.65721875
transcript.pyannote[194].end 989.90159375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 990.81284375
transcript.pyannote[195].end 997.12409375
transcript.pyannote[196].speaker SPEAKER_04
transcript.pyannote[196].start 992.87159375
transcript.pyannote[196].end 995.26784375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 997.41096875
transcript.pyannote[197].end 999.65534375
transcript.whisperx[0].start 14.183
transcript.whisperx[0].end 16.445
transcript.whisperx[0].text 謝謝主席。我請部長。國衛院長。議事司司長。口腔司司長。
transcript.whisperx[1].start 29.697
transcript.whisperx[1].end 49.69
transcript.whisperx[1].text 委員長 辛苦了辛苦了 那個上次逃動部這個霸凌事件也是我排一個檢討會報告 然後就在這裡從早上一直砲轟到下午 那到中午的時候行政院那邊就回復了
transcript.whisperx[2].start 50.71
transcript.whisperx[2].end 63.637
transcript.whisperx[2].text 下午四點半,行政院長召開記者會。我們的何部長就辭職了。我覺得很惋惜。務務部這一次的
transcript.whisperx[3].start 65.65
transcript.whisperx[3].end 85.92
transcript.whisperx[3].text 這個事件的檢討我這裡要跟部長講一下就是早上我還收到你們衛務部員工的陳情救救我們衛務部的員工他說這一次的這個檢討報告是提高陳情到次長
transcript.whisperx[4].start 87.16
transcript.whisperx[4].end 108.069
transcript.whisperx[4].text 所以他們還好,但是一般都是主秘在主持。所以現在這個主秘一定先到減息到sustention開,讓他沒做。他如果再回去當主秘,那這些報告全部他都看到了嗎?那這些人不是完蛋了嗎?
transcript.whisperx[5].start 109.878
transcript.whisperx[5].end 128.011
transcript.whisperx[5].text 好,謝謝召委的隨行。我想我們在一開始調查的過程當中都,我想那個理事長應該很清楚,指導這個整個就是說他負責召集嘛,他應該很清楚,只要是當我們在調查的時候所有的相關人都請假。
transcript.whisperx[6].start 128.792
transcript.whisperx[6].end 149.913
transcript.whisperx[6].text 我就是不行不不影響到那個整個調查所以相關的人不會去看到他在這個報告裡面所以這個部分請大家放心絕對我們非常的非常的非常的保護到這個我們所訪談的所有的同仁而且絕對
transcript.whisperx[7].start 151.394
transcript.whisperx[7].end 161.404
transcript.whisperx[7].text 做最最嚴密的一個保護所以這個這個案子將來即使誰呢當主秘他可以往前去review去拿出來去拿出來看會不會這樣
transcript.whisperx[8].start 166.706
transcript.whisperx[8].end 185.685
transcript.whisperx[8].text 按照目前的規定調查報告不僅是密件而且是限約關係人都是不能看所以要有職權才能看的那結束就封起來了是不是這樣
transcript.whisperx[9].start 188.087
transcript.whisperx[9].end 195.856
transcript.whisperx[9].text 我是覺得要勿妄勿縱啦,盲盲就這個我們那個年代當醫生部長你也看不到了,我們離開房,如果這樣沒辦法對主治醫師腳就要踹來了
transcript.whisperx[10].start 205.946
transcript.whisperx[10].end 206.106
transcript.whisperx[10].text 蘇清泉
transcript.whisperx[11].start 222.992
transcript.whisperx[11].end 249.6
transcript.whisperx[11].text 我阿兔就在顧記者馬街宴晚上亂七八糟的刀倉槍倉的一堆也是這樣拗過來但是現在時代不一樣啦他們有年輕人的想法不一樣現在如果跟我的刀我把他用拔劍給他打一下我就死了好不好我才會有個啊所以不一樣所以現在的主管或許以前是也曾經被霸凌過
transcript.whisperx[12].start 250.981
transcript.whisperx[12].end 259.323
transcript.whisperx[12].text 現在不要變成你是受害者將來變成加害者可能有什麼心態我不知道啦 部長你要看什麼
transcript.whisperx[13].start 261.673
transcript.whisperx[13].end 278.065
transcript.whisperx[13].text 我想...我以前也被丟過病歷,是不敢用麥克彈啦。你們外科系統的科研比較好,我們內科系統基本上是丟病歷啦。但是我從來沒有丟過年輕醫師的病歷。
transcript.whisperx[14].start 284.312
transcript.whisperx[14].end 298.647
transcript.whisperx[14].text 因為時代不一樣整個環境不一樣以及大家玩笑的方式不一樣陳昭蘇委員對你的這篇報告非常的不滿意我想退回去
transcript.whisperx[15].start 299.528
transcript.whisperx[15].end 315.641
transcript.whisperx[15].text 有點對你們難堪但是我想再回去好好的再再再回顧再review一下好不好我就不用那麼不好聽的字眼那這裡面有一些我看表現也不錯的啊像你們國衛組這個張主任每次委員要愛衣服給他叫他都會來要穿什麼東西都會穿這樣
transcript.whisperx[16].start 321.271
transcript.whisperx[16].end 321.471
transcript.whisperx[16].text 蘇清泉
transcript.whisperx[17].start 341.704
transcript.whisperx[17].end 366.053
transcript.whisperx[17].text 我們台灣的新生兒死亡率是比日本高將近一倍嘛然後呢我們國會院裡面有一個兒童健康什麼什麼什麼委員會啊你那委員會在幹嘛的是在做政策制定還是有到基層的practice到醫院這個層級因為五家兒童醫院的
transcript.whisperx[18].start 367.631
transcript.whisperx[18].end 378.661
transcript.whisperx[18].text 院長也罷他們來找我說他們希望成立可以為我們這邊成立一個兒童醫學健康研究中心然後他們來
transcript.whisperx[19].start 381.588
transcript.whisperx[19].end 398.716
transcript.whisperx[19].text 整個台灣的資料做研究新的治療方法新的癌症治療方法等等就依託在其中的一家醫院然後全國的資料都在這邊我第一句話就問說那你跟國會院這個機構有沒有疊床駕駛部長你有看過嗎
transcript.whisperx[20].start 408.157
transcript.whisperx[20].end 429.502
transcript.whisperx[20].text 我想國會院是我們國家重要的健康智庫那它據我了解在過去成立相關的一個組織的時候其實在推動很多兒童的一個重要的議題的論壇那這個也都做得在政策上相關的好在醫院裡面當然就是
transcript.whisperx[21].start 430.322
transcript.whisperx[21].end 433.385
transcript.whisperx[21].text 我現在是說國會院這個單位是不是在做政策制定而已啊?政策的原意跟制定
transcript.whisperx[22].start 453.534
transcript.whisperx[22].end 463.731
transcript.whisperx[22].text 謝謝委員。我們事實上是從102年開始,因為當初很多立委鼓勵我們成立這個所謂的國家的兒童醫學研究中心。
transcript.whisperx[23].start 465.225
transcript.whisperx[23].end 487.335
transcript.whisperx[23].text 這幾年事實上是用依法基金的這個經費雖然每年經費都在遞減但事實上我們維持每年都在遞減這幾年因為醫治師強力推動這個所謂的優化兒童醫療照護那個裡面就有很多的策略來結合不同的醫學中心、兒童醫院跟這個幼童的這個專責的這個醫師那他們現在怎麼會有這個要求呢?
transcript.whisperx[24].start 493.106
transcript.whisperx[24].end 521.685
transcript.whisperx[24].text 會想說在臺大兒童醫院或者是哪裡放這個研究的中心?我想那個醫事室是臺大醫院奧科出身的他最了解這邊的話我補充一下因為這是不同層級的研究政策研究的部分其實我們是透過國會院然後推動兒童優化兒童醫療網計畫得到的data其實沒有個資的情形現在其實是由國會院來提供可是每個醫院對於每個disease
transcript.whisperx[25].start 522.165
transcript.whisperx[25].end 538.335
transcript.whisperx[25].text 其實他都希望有更深度的研究知道從預防端開始怎麼做所以針對每一個不同的面向的地方的話我只能說以國衛院而言他是從公共衛生的角度從疾病預防治療的角度那是每個醫院希望能夠做的事
transcript.whisperx[26].start 539.664
transcript.whisperx[26].end 544.427
transcript.whisperx[26].text 我的想法就很單純,就是,孩子越生越少,變動關一年,今年是2023年過星期的八千五百多人生小孩生到四千兩百,生不到一半啦
transcript.whisperx[27].start 554.974
transcript.whisperx[27].end 555.114
transcript.whisperx[27].text 這是好事啦!
transcript.whisperx[28].start 582.276
transcript.whisperx[28].end 602.572
transcript.whisperx[28].text 那我請部長你責成我們國會議事室.跟這些兒童醫院研究一下.看到底他們是要愛什麼.他們是要如何配合.要不然他們重複開.我們就沒意思了.這樣好不好好沒問題這個非常重要.而且資源一定要放在.各自能夠發揮共同來聯繫一個我們臺灣最好的.
transcript.whisperx[29].start 605.894
transcript.whisperx[29].end 633.413
transcript.whisperx[29].text 兒童研究及一個品質的體育對啦 這個很重要啦每一個都要好好的栽培每一個都是很重要來 那院長你請回那再來就是我們麻醉出問題啦診所出問題啦那醫生到底有沒有受訓那我瞭解起來不真的假的我等一下請市長回答齁他說那個診所做雷射然後打propofol
transcript.whisperx[30].start 634.301
transcript.whisperx[30].end 653.823
transcript.whisperx[30].text 那這個牛奶針,我前幾天做大腸經胃鏡,我也煮那個,我也煮泡泡泡,整個我是便宜做,所以很擔心,那真的會呼吸會變壞,血壓會下降,所以那種針很好用,但是會出問題的啊。
transcript.whisperx[31].start 655.305
transcript.whisperx[31].end 670.984
transcript.whisperx[31].text 我看你們的規範八項裡面沒有在石中良當市長的時候制定的嘛那八項什麼銷鼓啦什麼的要麻醉在場那這個我的了解是那個執行醫師自己打打完自己再做然後這裡就輸於照顧
transcript.whisperx[32].start 673.905
transcript.whisperx[32].end 695.887
transcript.whisperx[32].text 那個在醫院保證救的回來,那在診所,那去有KLG這個是很糟糕的事情這個診所裡面醫美診所裡面醫事室現在準備要怎麼做這樣是沒有辦法接受的台灣有800家醫美診所真的有規範的才41家,是不是這樣
transcript.whisperx[33].start 697.637
transcript.whisperx[33].end 697.677
transcript.whisperx[33].text 蘇清泉
transcript.whisperx[34].start 713.325
transcript.whisperx[34].end 739.602
transcript.whisperx[34].text 合法而且品質優良的診所的部分的話我們其實是建議民眾第一個其實就優選醫政會通過認證的第二件事情是在執行推動的過程當中如果是說麻醉這件事情只能夠由麻醉科醫師做的話其實就會有人手不足的問題可是實際上面很多的情況下面都會運用到麻醉所以怎麼提升這個我們講的安全的部分的話才會有是說
transcript.whisperx[35].start 740.262
transcript.whisperx[35].end 740.462
transcript.whisperx[35].text 蘇清泉
transcript.whisperx[36].start 755.456
transcript.whisperx[36].end 779.146
transcript.whisperx[36].text 我不曉得麻醉專科醫師跟麻醉專科婦理師他們的前線跟他們的分際是在哪裡我搞不清楚像這種應該你要麻醉你就在醫院坐就好了為什麼醫師到外面到處兼差這樣這樣一定會到最後一定是無人嘛無人就是這樣他先自己補自己煮自己煮自己弄都要出事了
transcript.whisperx[37].start 783.052
transcript.whisperx[37].end 811.343
transcript.whisperx[37].text 這是要管理的,不然大家不信心去啊軍售這筆也沒搞,什麼都沒幫你做什麼,每天都沒搞我看連插管都不要插管所以這個很危險啦口腔師也是一樣,我要問你的你跟醫師是怎麼配合牙科醫師現在是在聯合診所就可以實習嗎還是PGY才在聯合診所
transcript.whisperx[38].start 816.411
transcript.whisperx[38].end 836.758
transcript.whisperx[38].text 牙科醫師的實習一定是教學醫院。PGY的話的確有部分是在診所。因為牙醫師本身一定要在急診受診。是,董事長你是急診的齁。一定要在急診受診過。一定要在麻酔科受診過。這樣他才有基本的救人的基本能力。
transcript.whisperx[39].start 838.139
transcript.whisperx[39].end 856.232
transcript.whisperx[39].text 我已經接過好多牙醫師麻藥一打因為麻藥裏面有馬肩、大腦肩裏面有加一些保釋敏加一些epinephrine加一比一千的那煮了人家就VTR人家就心力不振、心思戰鬥啊上來救的比較久、救的比較久就沒了所以麻醉那個牙科醫師會不會插管我看10個、9個不會插啦
transcript.whisperx[40].start 864.252
transcript.whisperx[40].end 883.734
transcript.whisperx[40].text 所以這個都是要review的這個要加強他們訓練的還有實習如果在在牙科診所還得了這個是一個漏洞啊所以實習沒有只有PGY有對只有PGY有PGY應該也要在教學院在聯合診所上次就出事了高雄不是出事了嗎所以這個
transcript.whisperx[41].start 886.482
transcript.whisperx[41].end 889.466
transcript.whisperx[41].text 謝謝委員的指教我想不管是醫療院所的品質安全
transcript.whisperx[42].start 902.103
transcript.whisperx[42].end 918.196
transcript.whisperx[42].text 可以說是從朝委員您過去在擔任醫師公會理事長那個時候就一直呼籲大家一直在開這個會所以我們非常的重視那該如果在麻醉這個部分會比較需要再精進我們會找相關的醫學會
transcript.whisperx[43].start 919.597
transcript.whisperx[43].end 937.299
transcript.whisperx[43].text 跟相關的專科醫學會、牙醫團體我們共同來研議看怎麼樣讓民眾真的到醫療院所是很安心而且是很安全的所以我們一定要努力追求所以我再回過頭來行政院說要讓
transcript.whisperx[44].start 938.746
transcript.whisperx[44].end 940.826
transcript.whisperx[44].text 雖然是匿名但是只要舉出他的
transcript.whisperx[45].start 966.391
transcript.whisperx[45].end 966.971
transcript.whisperx[45].text 被檢舉者要勿忘勿重
transcript.whisperx[46].start 990.888
transcript.whisperx[46].end 991.349
transcript.whisperx[46].text 謝謝蘇委員、謝謝柯部長
IVOD_ID 158143
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158143
日期 2024-12-16
會議資料.會議代碼 委員會-11-2-26-14
會議資料.屆 11
會議資料.會期 2
會議資料.會次 14
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14次全體委員會議
影片種類 Clip
開始時間 2024-12-16T09:43:20+08:00
結束時間 2024-12-16T10:00:01+08:00
支援功能[0] ai-transcript