iVOD / 149594

Field Value
IVOD_ID 149594
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/149594
日期 2024-03-07
會議資料.會議代碼 委員會-11-1-26-4
會議資料.會議代碼:str 第11屆第1會期社會福利及衛生環境委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 4
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1會期社會福利及衛生環境委員會第4次全體委員會議
影片種類 Clip
開始時間 2024-03-07T13:02:14+08:00
結束時間 2024-03-07T13:11:50+08:00
影片長度 00:09:36
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1441ba9c2015bdbe179b65eae6e3c4cddc62c46c87ca327ff8ba9b0039caa7a69ce1b1fe81fa1c0a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 楊曜
委員發言時間 13:02:14 - 13:11:50
會議時間 2024-03-07T09:00:00+08:00
會議名稱 立法院第11屆第1會期社會福利及衛生環境委員會第4次全體委員會議(事由:邀請衛生福利部部長、中央健康保險署、食品藥物管理署就「健保藥價調整,藥廠停產慢性病用藥之因應作為」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.30096875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 6.49409375
transcript.pyannote[1].end 8.87346875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 9.66659375
transcript.pyannote[2].end 10.62846875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 15.08346875
transcript.pyannote[3].end 16.60221875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 16.85534375
transcript.pyannote[4].end 18.03659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 18.42471875
transcript.pyannote[5].end 20.88846875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 21.27659375
transcript.pyannote[6].end 24.39846875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 24.39846875
transcript.pyannote[7].end 24.53346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 24.53346875
transcript.pyannote[8].end 24.56721875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 24.56721875
transcript.pyannote[9].end 24.60096875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 24.60096875
transcript.pyannote[10].end 24.97221875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 24.97221875
transcript.pyannote[11].end 25.79909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 25.79909375
transcript.pyannote[12].end 25.81596875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 25.96784375
transcript.pyannote[13].end 26.03534375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 26.03534375
transcript.pyannote[14].end 38.96159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 37.94909375
transcript.pyannote[15].end 39.65346875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 39.65346875
transcript.pyannote[16].end 42.16784375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 40.00784375
transcript.pyannote[17].end 40.93596875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 42.52221875
transcript.pyannote[18].end 49.32284375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 47.34846875
transcript.pyannote[19].end 49.30596875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 49.32284375
transcript.pyannote[20].end 49.94721875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 49.94721875
transcript.pyannote[21].end 50.38596875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 50.63909375
transcript.pyannote[22].end 53.40659375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 53.91284375
transcript.pyannote[23].end 54.38534375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 55.29659375
transcript.pyannote[24].end 83.44409375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 70.65284375
transcript.pyannote[25].end 71.66534375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 83.54534375
transcript.pyannote[26].end 105.68534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 100.15034375
transcript.pyannote[27].end 101.09534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 102.02346875
transcript.pyannote[28].end 102.93471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 105.88784375
transcript.pyannote[29].end 112.70534375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 112.95846875
transcript.pyannote[30].end 124.85534375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 119.64096875
transcript.pyannote[31].end 120.13034375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 120.13034375
transcript.pyannote[32].end 120.19784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 125.46284375
transcript.pyannote[33].end 126.57659375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 126.62721875
transcript.pyannote[34].end 133.32659375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 126.71159375
transcript.pyannote[35].end 127.08284375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 129.64784375
transcript.pyannote[36].end 129.85034375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 133.49534375
transcript.pyannote[37].end 135.11534375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 135.48659375
transcript.pyannote[38].end 135.52034375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 135.52034375
transcript.pyannote[39].end 136.80284375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 137.89971875
transcript.pyannote[40].end 142.52346875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 142.97909375
transcript.pyannote[41].end 143.75534375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 144.49784375
transcript.pyannote[42].end 149.00346875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 149.89784375
transcript.pyannote[43].end 152.54721875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 153.28971875
transcript.pyannote[44].end 156.83346875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 157.42409375
transcript.pyannote[45].end 160.81596875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 161.64284375
transcript.pyannote[46].end 163.33034375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 164.15721875
transcript.pyannote[47].end 168.29159375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 168.61221875
transcript.pyannote[48].end 171.26159375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 173.06721875
transcript.pyannote[49].end 175.75034375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 174.31596875
transcript.pyannote[50].end 178.53471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 178.85534375
transcript.pyannote[51].end 191.56221875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 180.89721875
transcript.pyannote[52].end 181.21784375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 181.21784375
transcript.pyannote[53].end 181.23471875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 191.86596875
transcript.pyannote[54].end 193.97534375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 193.97534375
transcript.pyannote[55].end 200.40471875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 196.87784375
transcript.pyannote[56].end 198.32909375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 201.68721875
transcript.pyannote[57].end 204.37034375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 204.64034375
transcript.pyannote[58].end 208.01534375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 206.81721875
transcript.pyannote[59].end 207.28971875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 208.99409375
transcript.pyannote[60].end 209.70284375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 209.58471875
transcript.pyannote[61].end 209.95596875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 209.82096875
transcript.pyannote[62].end 213.21284375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 211.54221875
transcript.pyannote[63].end 211.77846875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 213.31409375
transcript.pyannote[64].end 223.81034375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 222.61221875
transcript.pyannote[65].end 231.38721875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 227.84346875
transcript.pyannote[66].end 228.26534375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 229.00784375
transcript.pyannote[67].end 233.49659375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 231.85971875
transcript.pyannote[68].end 232.31534375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 233.49659375
transcript.pyannote[69].end 233.98596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 234.07034375
transcript.pyannote[70].end 238.27221875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 238.98096875
transcript.pyannote[71].end 239.26784375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 239.26784375
transcript.pyannote[72].end 242.81159375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 243.08159375
transcript.pyannote[73].end 245.73096875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 246.27096875
transcript.pyannote[74].end 251.62034375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 252.32909375
transcript.pyannote[75].end 254.99534375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 256.75034375
transcript.pyannote[76].end 260.24346875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 256.83471875
transcript.pyannote[77].end 256.85159375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 256.85159375
transcript.pyannote[78].end 257.22284375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 259.14659375
transcript.pyannote[79].end 265.00221875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 260.68221875
transcript.pyannote[80].end 260.78346875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 264.88409375
transcript.pyannote[81].end 269.89596875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 269.89596875
transcript.pyannote[82].end 269.94659375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 269.94659375
transcript.pyannote[83].end 272.84909375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 270.13221875
transcript.pyannote[84].end 270.53721875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 271.93784375
transcript.pyannote[85].end 276.93284375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 278.29971875
transcript.pyannote[86].end 279.56534375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 278.41784375
transcript.pyannote[87].end 278.83971875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 279.49784375
transcript.pyannote[88].end 282.92346875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 283.31159375
transcript.pyannote[89].end 286.18034375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 283.37909375
transcript.pyannote[90].end 284.79659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 286.18034375
transcript.pyannote[91].end 295.59659375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 286.21409375
transcript.pyannote[92].end 286.43346875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 289.70721875
transcript.pyannote[93].end 290.07846875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 294.06096875
transcript.pyannote[94].end 299.56221875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 299.88284375
transcript.pyannote[95].end 300.76034375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 301.60409375
transcript.pyannote[96].end 305.62034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 306.17721875
transcript.pyannote[97].end 307.42596875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 307.42596875
transcript.pyannote[98].end 307.88159375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 307.88159375
transcript.pyannote[99].end 313.41659375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 313.70346875
transcript.pyannote[100].end 316.43721875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 317.39909375
transcript.pyannote[101].end 319.42409375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 319.91346875
transcript.pyannote[102].end 326.10659375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 326.12346875
transcript.pyannote[103].end 330.51096875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 328.46909375
transcript.pyannote[104].end 329.29596875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 330.42659375
transcript.pyannote[105].end 334.69596875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 330.79784375
transcript.pyannote[106].end 332.51909375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 335.57346875
transcript.pyannote[107].end 360.14346875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 350.20409375
transcript.pyannote[108].end 350.57534375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 360.14346875
transcript.pyannote[109].end 377.64284375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 361.81409375
transcript.pyannote[110].end 362.18534375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 378.03096875
transcript.pyannote[111].end 386.31659375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 378.21659375
transcript.pyannote[112].end 381.47346875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 387.00846875
transcript.pyannote[113].end 389.20221875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 390.04596875
transcript.pyannote[114].end 404.27159375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 399.15846875
transcript.pyannote[115].end 399.52971875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 404.27159375
transcript.pyannote[116].end 404.54159375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 405.18284375
transcript.pyannote[117].end 407.83221875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 408.25409375
transcript.pyannote[118].end 411.37596875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 411.91596875
transcript.pyannote[119].end 412.30409375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 412.27034375
transcript.pyannote[120].end 413.13096875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 413.78909375
transcript.pyannote[121].end 418.69971875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 417.58596875
transcript.pyannote[122].end 422.78346875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 420.26909375
transcript.pyannote[123].end 420.72471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 422.49659375
transcript.pyannote[124].end 424.36971875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 425.07846875
transcript.pyannote[125].end 427.10346875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 427.10346875
transcript.pyannote[126].end 427.40721875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 427.84596875
transcript.pyannote[127].end 432.16596875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 432.38534375
transcript.pyannote[128].end 433.44846875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 433.75221875
transcript.pyannote[129].end 435.47346875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 435.54096875
transcript.pyannote[130].end 438.71346875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 438.81471875
transcript.pyannote[131].end 449.34471875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 449.44596875
transcript.pyannote[132].end 456.82034375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 457.49534375
transcript.pyannote[133].end 459.65534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 460.14471875
transcript.pyannote[134].end 464.09346875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 464.48159375
transcript.pyannote[135].end 467.65409375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 467.72159375
transcript.pyannote[136].end 474.96096875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 472.26096875
transcript.pyannote[137].end 473.00346875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 473.71221875
transcript.pyannote[138].end 476.07471875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 476.07471875
transcript.pyannote[139].end 489.11909375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 483.65159375
transcript.pyannote[140].end 486.33471875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 486.63846875
transcript.pyannote[141].end 486.68909375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 486.70596875
transcript.pyannote[142].end 487.43159375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 491.22846875
transcript.pyannote[143].end 493.72596875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 494.23221875
transcript.pyannote[144].end 497.37096875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 497.79284375
transcript.pyannote[145].end 498.92346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 499.76721875
transcript.pyannote[146].end 500.30721875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 501.20159375
transcript.pyannote[147].end 504.72846875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 504.96471875
transcript.pyannote[148].end 514.33034375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 512.42346875
transcript.pyannote[149].end 512.82846875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 514.68471875
transcript.pyannote[150].end 515.00534375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 515.98409375
transcript.pyannote[151].end 516.55784375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 516.99659375
transcript.pyannote[152].end 518.41409375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 519.30846875
transcript.pyannote[153].end 520.99596875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 521.60346875
transcript.pyannote[154].end 522.21096875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 523.20659375
transcript.pyannote[155].end 525.31596875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 526.78409375
transcript.pyannote[156].end 527.74596875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 527.99909375
transcript.pyannote[157].end 528.42096875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 528.35346875
transcript.pyannote[158].end 529.73721875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 530.29409375
transcript.pyannote[159].end 544.40159375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 533.50034375
transcript.pyannote[160].end 535.45784375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 538.20846875
transcript.pyannote[161].end 538.59659375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 541.92096875
transcript.pyannote[162].end 543.25409375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 544.65471875
transcript.pyannote[163].end 550.71284375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 549.93659375
transcript.pyannote[164].end 554.47596875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 553.10909375
transcript.pyannote[165].end 554.50971875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 554.50971875
transcript.pyannote[166].end 555.72471875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 555.35346875
transcript.pyannote[167].end 561.36096875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 556.50096875
transcript.pyannote[168].end 557.91846875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 559.62284375
transcript.pyannote[169].end 561.47909375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 561.79971875
transcript.pyannote[170].end 563.50409375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 563.92596875
transcript.pyannote[171].end 566.17034375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 566.67659375
transcript.pyannote[172].end 567.79034375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 567.79034375
transcript.pyannote[173].end 568.14471875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 568.11096875
transcript.pyannote[174].end 572.07659375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 572.07659375
transcript.pyannote[175].end 572.29596875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 572.29596875
transcript.pyannote[176].end 574.05096875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 574.48971875
transcript.pyannote[177].end 576.97034375
transcript.whisperx[0].start 6.894
transcript.whisperx[0].end 8.555
transcript.whisperx[0].text 謝謝主席。主席我請一下部長。好,部長請。
transcript.whisperx[1].start 15.214
transcript.whisperx[1].end 41.952
transcript.whisperx[1].text 委員好部長好部長我們談缺藥的問題之前有個問題我想要先跟部長做個探討就是為什麼我們民國70幾年就有掛號費的上限的規定為什麼突然那時候沒有那時候沒有那從什麼時候開始有
transcript.whisperx[2].start 43.329
transcript.whisperx[2].end 66.408
transcript.whisperx[2].text 我記得是一百零幾年的時候才有公告那為什麼會突然想要取消因為從七十幾年的時候那時候的衛生署就有一個解釋這一個所謂的醫療機構的掛號費不是屬於醫療費用是屬於行政費用
transcript.whisperx[3].start 72.252
transcript.whisperx[3].end 101.015
transcript.whisperx[3].text 他的目的就是說他不在那個醫療法的那個收費標準必須要到那個衛生局去備查範圍之內所以本來都是這個樣子但是一百零幾年我不知道當時的背景是怎麼樣就突然有一個公告說那這個醫療費那個括號費的話醫療機構的括號費如果超出什麼樣的一個上限之後的話那就必須要
transcript.whisperx[4].start 101.295
transcript.whisperx[4].end 102.636
transcript.whisperx[4].text 那這樣子就是違反法律的規定了
transcript.whisperx[5].start 126.084
transcript.whisperx[5].end 151.989
transcript.whisperx[5].text 因為法律沒有規定花費這種行政費用的話必須要去做審查沒有授權行政機關可以做這樣子部長講的我覺得是很有道理可是會不會有一個情形就是說因為他原本可能假如當初就沒有上線的規定
transcript.whisperx[6].start 153.342
transcript.whisperx[6].end 170.994
transcript.whisperx[6].text 部長現在講的我覺得立場上完全認同因為現在有上限有上限的標準那現在突然取消了有沒有可能所有的醫院
transcript.whisperx[7].start 173.277
transcript.whisperx[7].end 199.983
transcript.whisperx[7].text 如果是聯合的話,那就是公平會會介入,以前曾經有過某一個地區的幾家診所,他們講好了就同時把這瓜費調高,那這公平會就進去了,所以聯合行為是絕對不可以的。我知道啦,可是他總是會有規避的方式,因為大概就是各
transcript.whisperx[8].start 203.396
transcript.whisperx[8].end 206.038
transcript.whisperx[8].text 醫療層級相同的他的行政費用其實
transcript.whisperx[9].start 209.039
transcript.whisperx[9].end 210.54
transcript.whisperx[9].text 聯合行委最怕的就是同一個區域?
transcript.whisperx[10].start 239.531
transcript.whisperx[10].end 254.742
transcript.whisperx[10].text 如果不同區域去聯合的話沒有太大意義因為病人都是會就近去就醫所以如果他同一個區域有幾家的醫療院所同時都長起來的話那我們就請公平會去查
transcript.whisperx[11].start 256.806
transcript.whisperx[11].end 258.808
transcript.whisperx[11].text 所以這個問題我覺得最容易發生在醫學中心
transcript.whisperx[12].start 278.522
transcript.whisperx[12].end 303.634
transcript.whisperx[12].text 醫學中心因為醫學中心就是大家沒得選啦他已經到最高層級了啦那假如說大家但是要看什麼病啦有些病可能是醫學中心才會處理的那但是大部分的病不會因為醫學中心他也可能就是以價自量啦我現在怕產生這個問題啦
transcript.whisperx[13].start 306.223
transcript.whisperx[13].end 327.367
transcript.whisperx[13].text 部長你懂我的意思嗎?我知道因為醫學中心他假如說覺得他的病患病患太多他可能當他所有的醫學中心一起漲價的時候其實他區域是分散的這當然我們也會監測情況當然是不一樣不是用區域去看這個
transcript.whisperx[14].start 335.734
transcript.whisperx[14].end 359.782
transcript.whisperx[14].text 其實我要來質詢的時候我就知道部長會怎麼回答,我也認同你的觀點不過就是有一些後續的問題我們還是要特別是漲價以後對於經濟比較弱勢的人的權益,這個後續可能要觀察一下
transcript.whisperx[15].start 360.542
transcript.whisperx[15].end 378.752
transcript.whisperx[15].text 這個部分的話也跟委員報告,其實我們是在這一個所謂的公財的回饋金的部分的話,有分給各個縣市那他其中要補貼的就是一些低收中低收他的醫療費、就醫的這個括號費那個是已經寫在那裡對對對對好謝謝部長還沒問完藥的部分呢
transcript.whisperx[16].start 390.12
transcript.whisperx[16].end 403.951
transcript.whisperx[16].text 我們缺藥的因素大概可以分為三個可能性一個是國際情勢的影響一個原物料的短缺一個國內用藥需求的激增
transcript.whisperx[17].start 405.473
transcript.whisperx[17].end 426.304
transcript.whisperx[17].text 請問部長這三個因素哪一個因素對於臺灣影響最大?發生的時候其實是影響最大是第一個啦就是國際情勢國際情勢影響就是找不到了全世界都找不到了全世界都找不到或者說臺灣人家都不願意提供到臺灣
transcript.whisperx[18].start 428.258
transcript.whisperx[18].end 456.483
transcript.whisperx[18].text 比方說有所謂的封鎖等等這類的情形那假如發生的話怎麼因應?所以我們就必須要在反應要在前面要去做這種預防措施預防措施就是我們會把必要的一些藥品的項目把它列出來然後我們這些藥品的項目的話要增加它的庫存、占備庫存那第二個就是要
transcript.whisperx[19].start 457.917
transcript.whisperx[19].end 472.645
transcript.whisperx[19].text 鼓勵國內自己生產,不然的話到時候一封鎖的話,那原廠就進不來了。那自己又沒有辦法製造,這個就會有風險。也就是必須要準備盤點、監控相關的庫存。我們現在有480多箱。
transcript.whisperx[20].start 476.227
transcript.whisperx[20].end 480.771
transcript.whisperx[20].text 我最後再問一個問題就是我們實施藥品費用分配比例目標
transcript.whisperx[21].start 502.307
transcript.whisperx[21].end 525.089
transcript.whisperx[21].text 每年檢討以及調整藥價以後藥商必須要事先跟醫事機構重新議價藥品市場的穩定性會不會比之前兩年調整一次
transcript.whisperx[22].start 526.823
transcript.whisperx[22].end 530.425
transcript.whisperx[22].text 之前兩年兩年一次比較可能產生藥價黑洞
transcript.whisperx[23].start 554.622
transcript.whisperx[23].end 573.584
transcript.whisperx[23].text 對,那個幅度會變大,其實對藥廠來講的話也不是太大部長的回答就是只要有預期,大家就會做準備所以就不會有太大的變化好,謝謝部長、謝謝主席好,謝謝楊耀文的質詢