iVOD / 169698

Field Value
IVOD_ID 169698
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169698
日期 2026-05-28
會議資料.會議代碼 委員會-11-5-26-12
會議資料.會議代碼:str 第11屆第5會期社會福利及衛生環境委員會第12次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 12
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5會期社會福利及衛生環境委員會第12次全體委員會議
影片種類 Clip
開始時間 2026-05-28T11:05:43+08:00
結束時間 2026-05-28T11:17:16+08:00
影片長度 00:11:33
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/89665fc2cee9c36729d96d1adee6ffbb7a79f49b44e0745677815697e441d1b45347f071d6b30dbb5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 11:05:43 - 11:17:16
會議時間 2026-05-28T09:00:00+08:00
會議名稱 立法院第11屆第5會期社會福利及衛生環境委員會第12次全體委員會議(事由:審查 一、國民黨黨團擬具「失智症基本法草案」案。 二、台灣民眾黨黨團擬具「失智症基本法草案」案。 三、委員林月琴等19人擬具「失智症基本法草案」案。 【僅詢答】【第三案如經復議則不予審查】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 4.06409375
transcript.pyannote[0].end 5.07659375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 5.32971875
transcript.pyannote[1].end 7.77659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 7.91159375
transcript.pyannote[2].end 8.53596875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 8.18159375
transcript.pyannote[3].end 9.34596875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 9.61596875
transcript.pyannote[4].end 10.24034375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 10.24034375
transcript.pyannote[5].end 10.78034375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 11.38784375
transcript.pyannote[6].end 12.11346875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 13.02471875
transcript.pyannote[7].end 13.83471875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 14.52659375
transcript.pyannote[8].end 15.26909375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 15.31971875
transcript.pyannote[9].end 15.35346875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 15.35346875
transcript.pyannote[10].end 15.37034375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 15.37034375
transcript.pyannote[11].end 15.57284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 15.57284375
transcript.pyannote[12].end 15.64034375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 16.12971875
transcript.pyannote[13].end 16.14659375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 16.14659375
transcript.pyannote[14].end 16.75409375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 16.38284375
transcript.pyannote[15].end 16.60221875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 16.85534375
transcript.pyannote[16].end 17.78346875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 21.04034375
transcript.pyannote[17].end 29.12346875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 29.12346875
transcript.pyannote[18].end 29.37659375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 30.69284375
transcript.pyannote[19].end 34.62471875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 35.48534375
transcript.pyannote[20].end 43.09596875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 43.48409375
transcript.pyannote[21].end 51.65159375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 52.51221875
transcript.pyannote[22].end 52.52909375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 52.52909375
transcript.pyannote[23].end 76.42409375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 76.86284375
transcript.pyannote[24].end 79.76534375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 79.98471875
transcript.pyannote[25].end 82.19534375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 82.39784375
transcript.pyannote[26].end 83.37659375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 83.51159375
transcript.pyannote[27].end 92.52284375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 93.60284375
transcript.pyannote[28].end 103.96409375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 103.96409375
transcript.pyannote[29].end 105.14534375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 106.24221875
transcript.pyannote[30].end 114.05534375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 114.32534375
transcript.pyannote[31].end 128.16284375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 114.88221875
transcript.pyannote[32].end 115.43909375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 116.58659375
transcript.pyannote[33].end 117.22784375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 129.85034375
transcript.pyannote[34].end 144.02534375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 144.39659375
transcript.pyannote[35].end 145.62846875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 145.88159375
transcript.pyannote[36].end 146.20221875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 146.42159375
transcript.pyannote[37].end 148.73346875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 149.02034375
transcript.pyannote[38].end 149.98221875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 151.33221875
transcript.pyannote[39].end 152.96909375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 154.15034375
transcript.pyannote[40].end 156.37784375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 156.98534375
transcript.pyannote[41].end 165.52409375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 165.60846875
transcript.pyannote[42].end 167.68409375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 167.81909375
transcript.pyannote[43].end 168.34221875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 168.44346875
transcript.pyannote[44].end 169.20284375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 169.70909375
transcript.pyannote[45].end 170.85659375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 171.24471875
transcript.pyannote[46].end 174.83909375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 175.39596875
transcript.pyannote[47].end 178.97346875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 179.66534375
transcript.pyannote[48].end 181.77471875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 182.24721875
transcript.pyannote[49].end 183.19221875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 183.91784375
transcript.pyannote[50].end 192.43971875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 193.36784375
transcript.pyannote[51].end 201.67034375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 201.94034375
transcript.pyannote[52].end 202.81784375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 203.50971875
transcript.pyannote[53].end 206.91846875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 207.05346875
transcript.pyannote[54].end 210.88409375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 211.33971875
transcript.pyannote[55].end 213.97221875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 215.15346875
transcript.pyannote[56].end 217.63409375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 218.17409375
transcript.pyannote[57].end 218.68034375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 219.25409375
transcript.pyannote[58].end 220.48596875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 220.48596875
transcript.pyannote[59].end 220.50284375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 221.22846875
transcript.pyannote[60].end 221.56596875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 221.56596875
transcript.pyannote[61].end 221.63346875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 221.81909375
transcript.pyannote[62].end 221.85284375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 221.85284375
transcript.pyannote[63].end 222.03846875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 222.03846875
transcript.pyannote[64].end 222.20721875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 222.20721875
transcript.pyannote[65].end 222.89909375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 222.89909375
transcript.pyannote[66].end 224.06346875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 225.10971875
transcript.pyannote[67].end 237.19221875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 237.39471875
transcript.pyannote[68].end 259.45034375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 259.99034375
transcript.pyannote[69].end 263.09534375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 263.60159375
transcript.pyannote[70].end 270.82409375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 270.97596875
transcript.pyannote[71].end 286.61909375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 285.69096875
transcript.pyannote[72].end 286.66971875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 286.66971875
transcript.pyannote[73].end 286.97346875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 286.97346875
transcript.pyannote[74].end 316.85909375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 291.49596875
transcript.pyannote[75].end 292.17096875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 296.71034375
transcript.pyannote[76].end 298.29659375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 300.91221875
transcript.pyannote[77].end 301.40159375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 302.98784375
transcript.pyannote[78].end 303.91596875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 308.75909375
transcript.pyannote[79].end 309.58596875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 309.58596875
transcript.pyannote[80].end 309.61971875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 309.99096875
transcript.pyannote[81].end 310.24409375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 310.24409375
transcript.pyannote[82].end 310.53096875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 310.53096875
transcript.pyannote[83].end 310.98659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 316.85909375
transcript.pyannote[84].end 317.92221875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 317.12909375
transcript.pyannote[85].end 329.02596875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 328.38471875
transcript.pyannote[86].end 328.94159375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 329.02596875
transcript.pyannote[87].end 329.97096875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 329.97096875
transcript.pyannote[88].end 330.03846875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 330.03846875
transcript.pyannote[89].end 331.20284375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 331.20284375
transcript.pyannote[90].end 331.21971875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 331.43909375
transcript.pyannote[91].end 331.47284375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 331.47284375
transcript.pyannote[92].end 331.48971875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 331.48971875
transcript.pyannote[93].end 331.59096875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 331.59096875
transcript.pyannote[94].end 332.24909375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 332.24909375
transcript.pyannote[95].end 332.31659375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 332.40096875
transcript.pyannote[96].end 332.43471875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 332.87346875
transcript.pyannote[97].end 333.43034375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 333.70034375
transcript.pyannote[98].end 334.76346875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 335.59034375
transcript.pyannote[99].end 347.16659375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 337.71659375
transcript.pyannote[100].end 337.98659375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 348.58409375
transcript.pyannote[101].end 350.52471875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 350.52471875
transcript.pyannote[102].end 350.59221875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 350.59221875
transcript.pyannote[103].end 350.96346875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 350.96346875
transcript.pyannote[104].end 361.59471875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 361.96596875
transcript.pyannote[105].end 363.58596875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 364.71659375
transcript.pyannote[106].end 371.02784375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 371.21346875
transcript.pyannote[107].end 393.40409375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 393.87659375
transcript.pyannote[108].end 394.56846875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 395.34471875
transcript.pyannote[109].end 399.04034375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 399.19221875
transcript.pyannote[110].end 399.85034375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 399.83346875
transcript.pyannote[111].end 404.87909375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 405.48659375
transcript.pyannote[112].end 406.36409375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 407.30909375
transcript.pyannote[113].end 409.57034375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 410.27909375
transcript.pyannote[114].end 410.65034375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 411.02159375
transcript.pyannote[115].end 414.02534375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 414.32909375
transcript.pyannote[116].end 415.45971875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 415.81409375
transcript.pyannote[117].end 417.21471875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 417.80534375
transcript.pyannote[118].end 418.86846875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 419.20596875
transcript.pyannote[119].end 424.70721875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 425.23034375
transcript.pyannote[120].end 425.87159375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 426.61409375
transcript.pyannote[121].end 429.11159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 428.97659375
transcript.pyannote[122].end 429.85409375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 429.38159375
transcript.pyannote[123].end 431.72721875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 430.37721875
transcript.pyannote[124].end 430.52909375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 431.50784375
transcript.pyannote[125].end 432.50346875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 432.11534375
transcript.pyannote[126].end 438.93284375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 436.16534375
transcript.pyannote[127].end 436.46909375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 438.39284375
transcript.pyannote[128].end 458.01846875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 442.18971875
transcript.pyannote[129].end 442.84784375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 448.70346875
transcript.pyannote[130].end 449.31096875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 455.80784375
transcript.pyannote[131].end 456.48284375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 458.06909375
transcript.pyannote[132].end 463.26659375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 459.63846875
transcript.pyannote[133].end 460.81971875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 461.46096875
transcript.pyannote[134].end 462.10221875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 462.76034375
transcript.pyannote[135].end 472.39596875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 473.00346875
transcript.pyannote[136].end 486.43596875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 479.92221875
transcript.pyannote[137].end 479.93909375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 487.14471875
transcript.pyannote[138].end 487.76909375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 488.10659375
transcript.pyannote[139].end 491.56596875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 491.97096875
transcript.pyannote[140].end 492.69659375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 492.94971875
transcript.pyannote[141].end 493.30409375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 493.72596875
transcript.pyannote[142].end 496.61159375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 496.99971875
transcript.pyannote[143].end 497.65784375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 498.70409375
transcript.pyannote[144].end 499.53096875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 500.34096875
transcript.pyannote[145].end 501.03284375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 501.91034375
transcript.pyannote[146].end 502.78784375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 504.27284375
transcript.pyannote[147].end 506.01096875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 506.14596875
transcript.pyannote[148].end 507.05721875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 507.64784375
transcript.pyannote[149].end 510.16221875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 511.32659375
transcript.pyannote[150].end 512.91284375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 513.52034375
transcript.pyannote[151].end 517.75596875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 518.34659375
transcript.pyannote[152].end 520.40534375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 520.97909375
transcript.pyannote[153].end 522.61596875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 523.27409375
transcript.pyannote[154].end 526.81784375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 527.67846875
transcript.pyannote[155].end 528.57284375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 528.99471875
transcript.pyannote[156].end 529.93971875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 530.93534375
transcript.pyannote[157].end 532.01534375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 532.47096875
transcript.pyannote[158].end 533.63534375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 534.52971875
transcript.pyannote[159].end 540.30096875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 540.63846875
transcript.pyannote[160].end 545.02596875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 545.49846875
transcript.pyannote[161].end 549.54846875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 550.24034375
transcript.pyannote[162].end 553.26096875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 553.26096875
transcript.pyannote[163].end 553.31159375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 553.81784375
transcript.pyannote[164].end 554.03721875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 554.03721875
transcript.pyannote[165].end 555.57284375
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 556.09596875
transcript.pyannote[166].end 581.64471875
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 581.88096875
transcript.pyannote[167].end 583.21409375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 583.63596875
transcript.pyannote[168].end 584.96909375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 584.96909375
transcript.pyannote[169].end 585.47534375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 586.15034375
transcript.pyannote[170].end 587.77034375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 588.31034375
transcript.pyannote[171].end 589.72784375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 589.93034375
transcript.pyannote[172].end 594.16596875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 594.53721875
transcript.pyannote[173].end 599.51534375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 600.15659375
transcript.pyannote[174].end 605.01659375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 606.04596875
transcript.pyannote[175].end 625.50284375
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 625.73909375
transcript.pyannote[176].end 629.97471875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 629.97471875
transcript.pyannote[177].end 631.83096875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 632.60721875
transcript.pyannote[178].end 636.03284375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 636.48846875
transcript.pyannote[179].end 641.14596875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 642.22596875
transcript.pyannote[180].end 644.65596875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 645.06096875
transcript.pyannote[181].end 660.01221875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 660.56909375
transcript.pyannote[182].end 660.58596875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 660.58596875
transcript.pyannote[183].end 660.67034375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 660.67034375
transcript.pyannote[184].end 660.87284375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 660.87284375
transcript.pyannote[185].end 660.92346875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 660.92346875
transcript.pyannote[186].end 660.94034375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 660.94034375
transcript.pyannote[187].end 661.00784375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 661.00784375
transcript.pyannote[188].end 662.45909375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 661.07534375
transcript.pyannote[189].end 662.99909375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 662.99909375
transcript.pyannote[190].end 663.04971875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 663.04971875
transcript.pyannote[191].end 663.10034375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 663.10034375
transcript.pyannote[192].end 667.26846875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 667.69034375
transcript.pyannote[193].end 673.14096875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 673.36034375
transcript.pyannote[194].end 678.79409375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 678.97971875
transcript.pyannote[195].end 684.58221875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 685.08846875
transcript.pyannote[196].end 686.30346875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 685.79721875
transcript.pyannote[197].end 686.18534375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 686.26971875
transcript.pyannote[198].end 687.90659375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 687.90659375
transcript.pyannote[199].end 688.14284375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 688.14284375
transcript.pyannote[200].end 688.29471875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 688.29471875
transcript.pyannote[201].end 688.42971875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 688.37909375
transcript.pyannote[202].end 689.03721875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 688.48034375
transcript.pyannote[203].end 688.49721875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 690.26909375
transcript.pyannote[204].end 691.77096875
transcript.whisperx[0].start 4.517
transcript.whisperx[0].end 17.516
transcript.whisperx[0].text 謝謝主席那我請我們李建德次長那個健保署副署長副署長張宇斌蘇偉仁好辛苦了不敢不敢
transcript.whisperx[1].start 21.092
transcript.whisperx[1].end 32.749
transcript.whisperx[1].text 我想這個失智症最近因為我們有一個台大的前院長還有我們的前總統馬英九讓大家都驚一驚說比較嚴重
transcript.whisperx[2].start 35.543
transcript.whisperx[2].end 41.428
transcript.whisperx[2].text 那現在我健保局這邊 健保署這邊 您現在在門前我現在先問比較實際的 在門前有一個評估那你們現在執行的情況是怎麼樣是怎麼樣去授權 還是說有一個共造
transcript.whisperx[3].start 52.54
transcript.whisperx[3].end 59.365
transcript.whisperx[3].text 我們有蠻多的計畫,像全能照顧也有,居家醫療也有當然是用CDR的評估方式來看我簡單跟各位,因為我們重點還是在治療以用藥來說
transcript.whisperx[4].start 76.957
transcript.whisperx[4].end 101.491
transcript.whisperx[4].text 今年我們看去年的資料是大概有14.78萬人有用藥大概花了17.79億元左右所以剛才從很多數字來看現在有一大部分已經是進入長照或什麼的地方從我的醫療來看大概有14.78萬人在治療所以在門診的部分陸陸續續都會有所以這個病人來到門診
transcript.whisperx[5].start 106.314
transcript.whisperx[5].end 113.359
transcript.whisperx[5].text 有一個人在Evaluate,有一個小組,有嘛,還是說你自己臨床醫師,看這個可能怪怪的,再進入這個...遮肘專業再來看所以市長你有說過這樣離人人有嗎?這裡插一個,那裡插一個,長照插一個,這樣不可以有一個...
transcript.whisperx[6].start 129.915
transcript.whisperx[6].end 147.763
transcript.whisperx[6].text 剩一個小組還是什麼,授權給醫院也可以比較中大型醫院,有神經內科,有社工師,有心理師神經內科,這樣合起來,精神科,能夠一個評估不要讓這些病人這樣,因為我自己的媽媽,有年的96歲
transcript.whisperx[7].start 154.195
transcript.whisperx[7].end 182.946
transcript.whisperx[7].text 他就有時候 我就不知道在說什麼啊就他有變那樣的妄想啊 直接說我如果要把他偷竊東西 把他偷竊錢 把他什麼我當然我知道他失職 但是有時候又很清楚啦所以 這種人就很麻煩有時候我早 早行程有時候這樣偷竊問題之後 生活 身體就用了那種人那是麻煩照樣的處理 照樣的處理所以 這種病人
transcript.whisperx[8].start 183.999
transcript.whisperx[8].end 202.541
transcript.whisperx[8].text 所以朝野在那邊講說,看到日本成立這個基本法,大家都想要來設宿舍不宿舍,不過我也想到行政院所講的部分有理,一個正候群要設一個基本法,
transcript.whisperx[9].start 203.987
transcript.whisperx[9].end 231.317
transcript.whisperx[9].text 這遭遇症人就再設一個基本法再設一個基本法 要許我們都要設一個基本法大家都叫行政院的人去找頭就去笑 只要有這個就笑了所以 市長 你的看法是怎樣來 我看你這樣閒閒的沒有啦 我想委員有時候真的就是醫學出身我想非常了解 我想一定的藝術
transcript.whisperx[10].start 232.837
transcript.whisperx[10].end 258.279
transcript.whisperx[10].text 他當然非常非常關心嘛現在重點就是說兩個重點第一個就是說我們現有機制我們是不是可以來強化院長也有說 必要的話我們也可以在院那邊類似像我們當時處理吸肝我們有一個吸肝行政院曾經你也知道有一個辦公室而且我們從2030就提早我們就用這個方式就可以解決一定的意思是這樣當然現在就是說它是一個徵狀
transcript.whisperx[11].start 260.06
transcript.whisperx[11].end 289.039
transcript.whisperx[11].text 你也知道我們那個疾病也有辦法做分類如果每一個疾病都要這樣這個確實就是說我們當然會來來廣聽各界的意見現在就是說最重要的是不是就是說很執行的處理我們現有已經有這個機制是不是不要再跌床架屋現有的機制我剛剛講了散落在各個地方
transcript.whisperx[12].start 290.18
transcript.whisperx[12].end 295.824
transcript.whisperx[12].text 這要整合啦 最大誘因就是你柬埔這裡有支付 評估費用 醫生有診療的費用那這樣做起來才帶勁嘛 如果說這個病人在家庭長照室接下去做後續追蹤 那有問題隨時
transcript.whisperx[13].start 312.016
transcript.whisperx[13].end 320.458
transcript.whisperx[13].text 假藥是有效的,吃那個吃製藥是有效的,所以我們要改進這件事情,這是沒有辦法避免的,因為我們八十幾歲,現在你生日幾%?差不多幾%有,九十歲以上的又比較嚴重,八十歲以上到二十五點一,二十五,八十五,
transcript.whisperx[14].start 335.929
transcript.whisperx[14].end 338.77
transcript.whisperx[14].text 所以這個是無法避免啦你也會失智,我也會失智啦所以誰都有可能遭遇這個問題
transcript.whisperx[15].start 364.738
transcript.whisperx[15].end 365.859
transcript.whisperx[15].text 大家是要正視啦
transcript.whisperx[16].start 395.379
transcript.whisperx[16].end 409.512
transcript.whisperx[16].text 要給他起手、要給他保安檢調單位當然也要受理這如果有一個賤名他就很好很好不要說這個名字不是老高的那種老高起來所以你要有行政院版本出來當然是最好嘛
transcript.whisperx[17].start 410.376
transcript.whisperx[17].end 423.04
transcript.whisperx[17].text 那如果沒有,你現在製草這個要整合,整合是你威脅的事情嘛,因為現在的長照都是你管理的,所以整合起來,製造要讓它,
transcript.whisperx[18].start 426.681
transcript.whisperx[18].end 434.707
transcript.whisperx[18].text 治療、後續、追蹤、follow up,都要到位我現在問你幾個人你都說不清楚包委員我們目前7.99是大概39萬以我們目前各種機制掌握大概70%
transcript.whisperx[19].start 448.957
transcript.whisperx[19].end 461.741
transcript.whisperx[19].text 所以差不多要二、六萬嘛,當然你差的另外一三十萬,我們現在就是剛剛部長馬尾答詢的說你說有在治療的現在有十幾萬嗎?如果治療的話是健保那邊15.78萬多少?15萬,所以你有38萬、40萬的失智病人,你有15萬在治療,還有25萬放在老大手上
transcript.whisperx[20].start 473.184
transcript.whisperx[20].end 494.975
transcript.whisperx[20].text 所以這也是嚴重的所以今天在講這個東西的精神更重要的就是在這裡那你裡面最有力量的就是健保署健保署你在給付的,所以大家都對這個政策你只要到位,大家就跟著政策走好不好來,我問第一題的問題健保署
transcript.whisperx[21].start 499.132
transcript.whisperx[21].end 509.915
transcript.whisperx[21].text 總共 九年四月份生小孩生一萬三千幾個 四萬四千個今年的四月份 存六千個小孩夭壽喔 存一半我問的比較問題的是婦產科這個團隊接生的 照顧新生兒的這小孩減一半這個醫生的收入 這個團隊的收入
transcript.whisperx[22].start 527.708
transcript.whisperx[22].end 542.459
transcript.whisperx[22].text 要不然就算一半,要不然我吃土,要不然我照顧他所以你們現在副總科那邊,你們要怎麼照顧我我不是副總科,我姓董話科,我副總科講話所以你們要一個虛擬的一個總額,譬如說副總科那邊生三十萬的孩子,生二十萬的孩子,生十萬的孩子
transcript.whisperx[23].start 550.285
transcript.whisperx[23].end 568.812
transcript.whisperx[23].text 你那個單價要提高,那醫生幫你找得到嗎?不找也找不到出院醫師跟委員報告,我們最近有跟婦產科學會一些專家有討論會把醫院,就是我們申報部門跟醫院有關比較重症比較難的生產的案例
transcript.whisperx[24].start 569.502
transcript.whisperx[24].end 593.654
transcript.whisperx[24].text 有些會調到100%跟200%先這樣去做那比較一般的大概普遍性的會看我們那個調租標準的預算大概調到25%到50%我們有正視這個問題你不要像東京都一個運貨要生產救護車坐上去這間賣的卡沒有算過一般這間有沒有、那間有沒有、那間有沒有
transcript.whisperx[25].start 594.634
transcript.whisperx[25].end 599.164
transcript.whisperx[25].text 早八點起床,到大九點起床,我們會發生什麼事情呢?打架咧,打架咧,有錢叫打架,沒錢打架
transcript.whisperx[26].start 606.389
transcript.whisperx[26].end 631.342
transcript.whisperx[26].text 現在我們有一些車位是調支援標準這是第一個第一個也是要留一些婦產的專科醫師能夠繼續在醫院服務那比較偏鄉的一些診所他本來是產科的我們想辦法會用其他的方式讓他繼續留在偏鄉那邊服務會用筆算去給他們大概先從這樣去先把原有的人力先固定住你知道屏東現在多炎症嗎
transcript.whisperx[27].start 632.643
transcript.whisperx[27].end 657.758
transcript.whisperx[27].text 屏東現在的婦產科要去要接生的我們的女的婦產科醫師 醫徒暗示要不要在辦所以暗示要先區域聯防屏東市的跟東港的跟邦寮的要用區域聯防我跟妳講去跟邦寮沒辦法有三個醫生去跟鄉村沒辦法有三個醫生要先區域聯防這樣在拖所以他們如果不把這裡顧住這裡如果沒辦法做
transcript.whisperx[28].start 663.373
transcript.whisperx[28].end 684.159
transcript.whisperx[28].text 所以這個屏東的火鈴鈴的case,我想其他縣市也差不多而且醫生到了五、六十歲,你要叫他值班要接生那時候要在那邊等,產婦在那邊等,你醫生也在那邊等所以這個是很折磨、很累所以你們這塊要好用心,不能因為小孩子那麼少,你五、三個跟小女生拚下去不會不會,我們會去就好這個很重要謝謝
transcript.whisperx[29].start 690.83
transcript.whisperx[29].end 691.291
transcript.whisperx[29].text 謝謝蘇星全委的諮詢