iVOD / 162340

Field Value
IVOD_ID 162340
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162340
日期 2025-06-09
會議資料.會議代碼 委員會-11-3-26-16
會議資料.會議代碼:str 第11屆第3會期社會福利及衛生環境委員會第16次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第3會期社會福利及衛生環境委員會第16次全體委員會議
影片種類 Clip
開始時間 2025-06-09T12:01:57+08:00
結束時間 2025-06-09T12:17:46+08:00
影片長度 00:15:49
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4d6a092c3b844592f3b3e2fcba1be2fbba6a1b99ce3116a0c927efe44bf8825a43ba2ecc2b3ce5ba5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 12:01:57 - 12:17:46
會議時間 2025-06-09T09:00:00+08:00
會議名稱 立法院第11屆第3會期社會福利及衛生環境委員會第16次全體委員會議(事由:審查 一、行政院函請審議「全民健康保險資料管理條例草案」案。 二、委員林月琴等21人擬具「全民健康保險資料管理條例草案」案。 【詢答及審查】 【第二案,如未經各黨團簽署不復議同意書,則不予審查】 【6月9日及11日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 7.86096875
transcript.pyannote[0].end 10.02096875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.22346875
transcript.pyannote[1].end 16.78784375
transcript.pyannote[2].speaker SPEAKER_04
transcript.pyannote[2].start 16.78784375
transcript.pyannote[2].end 18.10409375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 16.97346875
transcript.pyannote[3].end 17.46284375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 17.96909375
transcript.pyannote[4].end 19.80846875
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 20.34846875
transcript.pyannote[5].end 21.61409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 23.13284375
transcript.pyannote[6].end 23.68971875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 24.16221875
transcript.pyannote[7].end 26.81159375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 27.52034375
transcript.pyannote[8].end 31.38471875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 32.63346875
transcript.pyannote[9].end 36.58221875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 33.30846875
transcript.pyannote[10].end 33.49409375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 33.49409375
transcript.pyannote[11].end 33.51096875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 38.79284375
transcript.pyannote[12].end 44.10846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 44.20971875
transcript.pyannote[13].end 54.72284375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 55.07721875
transcript.pyannote[14].end 56.93346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 56.47784375
transcript.pyannote[15].end 56.96721875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 56.96721875
transcript.pyannote[16].end 57.25409375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 57.25409375
transcript.pyannote[17].end 59.66721875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 59.76846875
transcript.pyannote[18].end 62.23221875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 64.51034375
transcript.pyannote[19].end 66.82221875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 66.82221875
transcript.pyannote[20].end 66.97409375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 66.97409375
transcript.pyannote[21].end 67.88534375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 67.05846875
transcript.pyannote[22].end 67.68284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 67.68284375
transcript.pyannote[23].end 67.86846875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 67.86846875
transcript.pyannote[24].end 67.88534375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 67.88534375
transcript.pyannote[25].end 68.52659375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 69.25221875
transcript.pyannote[26].end 69.84284375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 70.19721875
transcript.pyannote[27].end 71.53034375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 71.39534375
transcript.pyannote[28].end 71.49659375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 71.53034375
transcript.pyannote[29].end 72.91409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 74.04471875
transcript.pyannote[30].end 75.29346875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 76.20471875
transcript.pyannote[31].end 76.72784375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 76.72784375
transcript.pyannote[32].end 77.60534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 78.95534375
transcript.pyannote[33].end 80.17034375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 80.47409375
transcript.pyannote[34].end 82.49909375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 83.14034375
transcript.pyannote[35].end 91.37534375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 91.74659375
transcript.pyannote[36].end 92.67471875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 92.99534375
transcript.pyannote[37].end 93.31596875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 93.61971875
transcript.pyannote[38].end 97.23096875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 97.33221875
transcript.pyannote[39].end 98.42909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 99.28971875
transcript.pyannote[40].end 99.62721875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 100.77471875
transcript.pyannote[41].end 101.53409375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 101.53409375
transcript.pyannote[42].end 101.68596875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 101.68596875
transcript.pyannote[43].end 101.75346875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 102.41159375
transcript.pyannote[44].end 103.45784375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 104.55471875
transcript.pyannote[45].end 106.47846875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 106.73159375
transcript.pyannote[46].end 108.75659375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 109.14471875
transcript.pyannote[47].end 112.73909375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 113.54909375
transcript.pyannote[48].end 114.66284375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 115.43909375
transcript.pyannote[49].end 115.60784375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 115.96221875
transcript.pyannote[50].end 117.81846875
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 118.37534375
transcript.pyannote[51].end 119.06721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 119.15159375
transcript.pyannote[52].end 127.21784375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 127.21784375
transcript.pyannote[53].end 130.33971875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 130.40721875
transcript.pyannote[54].end 130.42409375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 130.42409375
transcript.pyannote[55].end 131.26784375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 131.26784375
transcript.pyannote[56].end 131.58846875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 131.58846875
transcript.pyannote[57].end 132.29721875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 131.62221875
transcript.pyannote[58].end 132.14534375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 132.29721875
transcript.pyannote[59].end 132.34784375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 132.34784375
transcript.pyannote[60].end 132.41534375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 132.41534375
transcript.pyannote[61].end 132.51659375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 132.51659375
transcript.pyannote[62].end 137.12346875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 133.09034375
transcript.pyannote[63].end 134.25471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 136.11096875
transcript.pyannote[64].end 143.43471875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 137.12346875
transcript.pyannote[65].end 137.22471875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 143.53596875
transcript.pyannote[66].end 151.01159375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 147.43409375
transcript.pyannote[67].end 147.97409375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 150.42096875
transcript.pyannote[68].end 150.87659375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 151.21409375
transcript.pyannote[69].end 155.97284375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 156.39471875
transcript.pyannote[70].end 157.64346875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 157.79534375
transcript.pyannote[71].end 158.55471875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 158.82471875
transcript.pyannote[72].end 161.94659375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 162.31784375
transcript.pyannote[73].end 165.43971875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 165.72659375
transcript.pyannote[74].end 168.67971875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 169.01721875
transcript.pyannote[75].end 172.61159375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 172.91534375
transcript.pyannote[76].end 177.28596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 177.87659375
transcript.pyannote[77].end 180.84659375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 181.26846875
transcript.pyannote[78].end 181.99409375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 182.75346875
transcript.pyannote[79].end 190.49909375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 192.43971875
transcript.pyannote[80].end 193.45221875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 193.45221875
transcript.pyannote[81].end 193.46909375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 195.56159375
transcript.pyannote[82].end 196.54034375
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 196.87784375
transcript.pyannote[83].end 208.77471875
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 208.85909375
transcript.pyannote[84].end 211.30596875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 208.90971875
transcript.pyannote[85].end 221.05971875
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 212.26784375
transcript.pyannote[86].end 216.16596875
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 216.58784375
transcript.pyannote[87].end 217.06034375
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 217.19534375
transcript.pyannote[88].end 217.21221875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 221.41409375
transcript.pyannote[89].end 225.29534375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 226.79721875
transcript.pyannote[90].end 229.58159375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 230.83034375
transcript.pyannote[91].end 234.40784375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 235.04909375
transcript.pyannote[92].end 235.84221875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 236.43284375
transcript.pyannote[93].end 236.51721875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 236.51721875
transcript.pyannote[94].end 236.97284375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 236.97284375
transcript.pyannote[95].end 237.25971875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 237.69846875
transcript.pyannote[96].end 239.45346875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 239.45346875
transcript.pyannote[97].end 239.47034375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 239.47034375
transcript.pyannote[98].end 241.10721875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 241.10721875
transcript.pyannote[99].end 250.79346875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 241.14096875
transcript.pyannote[100].end 241.98471875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 242.98034375
transcript.pyannote[101].end 243.18284375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 249.00471875
transcript.pyannote[102].end 249.03846875
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 249.03846875
transcript.pyannote[103].end 249.07221875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 249.07221875
transcript.pyannote[104].end 249.35909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 251.90721875
transcript.pyannote[105].end 252.88596875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 253.07159375
transcript.pyannote[106].end 253.86471875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 253.86471875
transcript.pyannote[107].end 258.70784375
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 254.64096875
transcript.pyannote[108].end 254.75909375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 258.99471875
transcript.pyannote[109].end 261.86346875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 262.18409375
transcript.pyannote[110].end 263.44971875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 263.83784375
transcript.pyannote[111].end 269.82846875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 270.35159375
transcript.pyannote[112].end 275.31284375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 275.78534375
transcript.pyannote[113].end 277.30409375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 277.92846875
transcript.pyannote[114].end 281.35409375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 281.67471875
transcript.pyannote[115].end 285.99471875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 286.16346875
transcript.pyannote[116].end 291.58034375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 291.91784375
transcript.pyannote[117].end 298.29659375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 298.88721875
transcript.pyannote[118].end 307.88159375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 308.11784375
transcript.pyannote[119].end 311.56034375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 311.99909375
transcript.pyannote[120].end 314.44596875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 314.96909375
transcript.pyannote[121].end 322.34346875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 322.74846875
transcript.pyannote[122].end 327.27096875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 327.96284375
transcript.pyannote[123].end 331.94534375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 332.19846875
transcript.pyannote[124].end 333.58221875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 335.11784375
transcript.pyannote[125].end 337.88534375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 338.12159375
transcript.pyannote[126].end 342.62721875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 343.85909375
transcript.pyannote[127].end 349.76534375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 345.61409375
transcript.pyannote[128].end 345.64784375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 345.64784375
transcript.pyannote[129].end 346.10346875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 346.10346875
transcript.pyannote[130].end 348.12846875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 350.13659375
transcript.pyannote[131].end 355.53659375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 355.95846875
transcript.pyannote[132].end 358.00034375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 358.40534375
transcript.pyannote[133].end 361.39221875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 361.93221875
transcript.pyannote[134].end 363.21471875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 363.72096875
transcript.pyannote[135].end 364.69971875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 365.27346875
transcript.pyannote[136].end 367.45034375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 367.72034375
transcript.pyannote[137].end 369.40784375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 369.86346875
transcript.pyannote[138].end 370.35284375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 370.67346875
transcript.pyannote[139].end 372.96846875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 373.67721875
transcript.pyannote[140].end 374.70659375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 375.19596875
transcript.pyannote[141].end 376.03971875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 376.81596875
transcript.pyannote[142].end 379.17846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 379.29659375
transcript.pyannote[143].end 380.05596875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 380.79846875
transcript.pyannote[144].end 382.85721875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 383.48159375
transcript.pyannote[145].end 384.29159375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 385.33784375
transcript.pyannote[146].end 386.09721875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 386.21534375
transcript.pyannote[147].end 386.28284375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 386.28284375
transcript.pyannote[148].end 387.14346875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 386.29971875
transcript.pyannote[149].end 387.07596875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 387.07596875
transcript.pyannote[150].end 387.14346875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 387.14346875
transcript.pyannote[151].end 387.39659375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 387.39659375
transcript.pyannote[152].end 387.56534375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 387.39659375
transcript.pyannote[153].end 394.21409375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 395.27721875
transcript.pyannote[154].end 402.41534375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 402.55034375
transcript.pyannote[155].end 403.68096875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 404.38971875
transcript.pyannote[156].end 406.46534375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 406.81971875
transcript.pyannote[157].end 419.88096875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 421.06221875
transcript.pyannote[158].end 421.26471875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 421.26471875
transcript.pyannote[159].end 430.95096875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 421.33221875
transcript.pyannote[160].end 423.05346875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 424.65659375
transcript.pyannote[161].end 424.85909375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 431.01846875
transcript.pyannote[162].end 435.18659375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 435.40596875
transcript.pyannote[163].end 440.41784375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 440.55284375
transcript.pyannote[164].end 443.16846875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 443.67471875
transcript.pyannote[165].end 451.08284375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 451.28534375
transcript.pyannote[166].end 457.66409375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 458.01846875
transcript.pyannote[167].end 459.89159375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 460.16159375
transcript.pyannote[168].end 461.47784375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 461.54534375
transcript.pyannote[169].end 464.16096875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 464.39721875
transcript.pyannote[170].end 466.65846875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 466.97909375
transcript.pyannote[171].end 471.02909375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 471.19784375
transcript.pyannote[172].end 472.76721875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 473.69534375
transcript.pyannote[173].end 475.02846875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 476.14221875
transcript.pyannote[174].end 479.50034375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 479.50034375
transcript.pyannote[175].end 481.18784375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 481.25534375
transcript.pyannote[176].end 489.27096875
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 488.79846875
transcript.pyannote[177].end 497.28659375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 497.45534375
transcript.pyannote[178].end 505.43721875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 498.14721875
transcript.pyannote[179].end 499.73346875
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 505.43721875
transcript.pyannote[180].end 505.84221875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 505.77471875
transcript.pyannote[181].end 506.39909375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 506.71971875
transcript.pyannote[182].end 510.12846875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 510.43221875
transcript.pyannote[183].end 511.15784375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 511.30971875
transcript.pyannote[184].end 515.05596875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 515.25846875
transcript.pyannote[185].end 516.89534375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 517.24971875
transcript.pyannote[186].end 518.44784375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 519.17346875
transcript.pyannote[187].end 521.70471875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 521.94096875
transcript.pyannote[188].end 522.56534375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 523.34159375
transcript.pyannote[189].end 526.63221875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 527.17221875
transcript.pyannote[190].end 528.62346875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 529.18034375
transcript.pyannote[191].end 532.15034375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 532.55534375
transcript.pyannote[192].end 542.25846875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 543.40596875
transcript.pyannote[193].end 544.45221875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 544.65471875
transcript.pyannote[194].end 545.05971875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 545.17784375
transcript.pyannote[195].end 545.21159375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 545.21159375
transcript.pyannote[196].end 545.39721875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 545.39721875
transcript.pyannote[197].end 552.75471875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 552.85596875
transcript.pyannote[198].end 557.04096875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 557.12534375
transcript.pyannote[199].end 557.22659375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 557.69909375
transcript.pyannote[200].end 560.55096875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 560.80409375
transcript.pyannote[201].end 562.89659375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 563.31846875
transcript.pyannote[202].end 565.83284375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 566.37284375
transcript.pyannote[203].end 569.71409375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 571.87409375
transcript.pyannote[204].end 572.71784375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 572.95409375
transcript.pyannote[205].end 573.61221875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 573.61221875
transcript.pyannote[206].end 573.66284375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 573.73034375
transcript.pyannote[207].end 576.19409375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 576.95346875
transcript.pyannote[208].end 584.78346875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 585.89721875
transcript.pyannote[209].end 596.47784375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 590.55471875
transcript.pyannote[210].end 591.21284375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 596.47784375
transcript.pyannote[211].end 605.55659375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 606.51846875
transcript.pyannote[212].end 611.73284375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 611.86784375
transcript.pyannote[213].end 620.65971875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 621.50346875
transcript.pyannote[214].end 622.19534375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 622.88721875
transcript.pyannote[215].end 625.21596875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 625.65471875
transcript.pyannote[216].end 626.75159375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 627.12284375
transcript.pyannote[217].end 629.16471875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 630.27846875
transcript.pyannote[218].end 634.63221875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 635.03721875
transcript.pyannote[219].end 639.42471875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 640.09971875
transcript.pyannote[220].end 642.05721875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 642.44534375
transcript.pyannote[221].end 645.14534375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 645.66846875
transcript.pyannote[222].end 649.48221875
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 649.81971875
transcript.pyannote[223].end 650.35971875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 650.42721875
transcript.pyannote[224].end 653.80221875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 654.22409375
transcript.pyannote[225].end 656.45159375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 656.63721875
transcript.pyannote[226].end 660.26534375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 661.12596875
transcript.pyannote[227].end 670.05284375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 670.69409375
transcript.pyannote[228].end 673.36034375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 673.76534375
transcript.pyannote[229].end 679.38471875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 679.89096875
transcript.pyannote[230].end 680.05971875
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 680.29596875
transcript.pyannote[231].end 695.77034375
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 687.34971875
transcript.pyannote[232].end 687.38346875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 695.41596875
transcript.pyannote[233].end 698.97659375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 699.29721875
transcript.pyannote[234].end 705.08534375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 705.28784375
transcript.pyannote[235].end 706.72221875
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 705.82784375
transcript.pyannote[236].end 710.33346875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 706.72221875
transcript.pyannote[237].end 706.73909375
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 707.56596875
transcript.pyannote[238].end 707.59971875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 707.59971875
transcript.pyannote[239].end 708.59534375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 708.59534375
transcript.pyannote[240].end 708.64596875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 708.64596875
transcript.pyannote[241].end 708.84846875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 708.84846875
transcript.pyannote[242].end 708.86534375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 710.38409375
transcript.pyannote[243].end 721.60596875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 721.87596875
transcript.pyannote[244].end 731.73096875
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 731.73096875
transcript.pyannote[245].end 734.93721875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 735.39284375
transcript.pyannote[246].end 744.94409375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 745.26471875
transcript.pyannote[247].end 746.22659375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 746.56409375
transcript.pyannote[248].end 748.20096875
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 748.85909375
transcript.pyannote[249].end 753.61784375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 750.15846875
transcript.pyannote[250].end 750.17534375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 751.59284375
transcript.pyannote[251].end 755.23784375
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 754.63034375
transcript.pyannote[252].end 755.49096875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 755.27159375
transcript.pyannote[253].end 761.54909375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 761.80221875
transcript.pyannote[254].end 763.35471875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 763.69221875
transcript.pyannote[255].end 765.56534375
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 766.18971875
transcript.pyannote[256].end 770.25659375
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 770.47596875
transcript.pyannote[257].end 782.10284375
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 782.30534375
transcript.pyannote[258].end 784.14471875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 782.86221875
transcript.pyannote[259].end 793.59471875
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 793.94909375
transcript.pyannote[260].end 795.95721875
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 796.29471875
transcript.pyannote[261].end 796.85159375
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 797.23971875
transcript.pyannote[262].end 798.11721875
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 799.14659375
transcript.pyannote[263].end 799.46721875
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 799.60221875
transcript.pyannote[264].end 800.76659375
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 801.42471875
transcript.pyannote[265].end 804.12471875
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 804.29346875
transcript.pyannote[266].end 804.59721875
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 804.59721875
transcript.pyannote[267].end 806.38596875
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 806.38596875
transcript.pyannote[268].end 806.72346875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 806.65596875
transcript.pyannote[269].end 808.30971875
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 809.77784375
transcript.pyannote[270].end 811.19534375
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 811.53284375
transcript.pyannote[271].end 813.54096875
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 813.97971875
transcript.pyannote[272].end 820.61159375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 821.11784375
transcript.pyannote[273].end 824.79659375
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 825.23534375
transcript.pyannote[274].end 827.17596875
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 827.46284375
transcript.pyannote[275].end 830.14596875
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 831.78284375
transcript.pyannote[276].end 832.55909375
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 833.33534375
transcript.pyannote[277].end 836.67659375
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 837.40221875
transcript.pyannote[278].end 838.04346875
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 838.48221875
transcript.pyannote[279].end 839.54534375
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 839.96721875
transcript.pyannote[280].end 843.40971875
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 843.81471875
transcript.pyannote[281].end 845.31659375
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 845.50221875
transcript.pyannote[282].end 848.45534375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 848.84346875
transcript.pyannote[283].end 851.25659375
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 851.89784375
transcript.pyannote[284].end 853.31534375
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 853.43346875
transcript.pyannote[285].end 853.46721875
transcript.pyannote[286].speaker SPEAKER_03
transcript.pyannote[286].start 853.46721875
transcript.pyannote[286].end 853.85534375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 853.85534375
transcript.pyannote[287].end 857.02784375
transcript.pyannote[288].speaker SPEAKER_03
transcript.pyannote[288].start 854.17596875
transcript.pyannote[288].end 854.37846875
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 854.41221875
transcript.pyannote[289].end 854.42909375
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 857.02784375
transcript.pyannote[290].end 857.04471875
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 857.04471875
transcript.pyannote[291].end 857.06159375
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 857.06159375
transcript.pyannote[292].end 866.89971875
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 867.33846875
transcript.pyannote[293].end 871.10159375
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 871.16909375
transcript.pyannote[294].end 871.18596875
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 871.20284375
transcript.pyannote[295].end 889.27596875
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 889.34346875
transcript.pyannote[296].end 890.59221875
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 890.82846875
transcript.pyannote[297].end 895.95846875
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 896.75159375
transcript.pyannote[298].end 899.82284375
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 900.00846875
transcript.pyannote[299].end 902.47221875
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 903.21471875
transcript.pyannote[300].end 907.29846875
transcript.pyannote[301].speaker SPEAKER_03
transcript.pyannote[301].start 908.24346875
transcript.pyannote[301].end 923.21159375
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 912.46221875
transcript.pyannote[302].end 912.69846875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 923.21159375
transcript.pyannote[303].end 934.93971875
transcript.pyannote[304].speaker SPEAKER_03
transcript.pyannote[304].start 935.74971875
transcript.pyannote[304].end 935.76659375
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 935.76659375
transcript.pyannote[305].end 935.96909375
transcript.pyannote[306].speaker SPEAKER_03
transcript.pyannote[306].start 935.96909375
transcript.pyannote[306].end 937.06596875
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 937.06596875
transcript.pyannote[307].end 944.05221875
transcript.pyannote[308].speaker SPEAKER_03
transcript.pyannote[308].start 937.09971875
transcript.pyannote[308].end 937.33596875
transcript.pyannote[309].speaker SPEAKER_03
transcript.pyannote[309].start 941.16659375
transcript.pyannote[309].end 944.01846875
transcript.pyannote[310].speaker SPEAKER_04
transcript.pyannote[310].start 944.05221875
transcript.pyannote[310].end 944.15346875
transcript.pyannote[311].speaker SPEAKER_04
transcript.pyannote[311].start 944.50784375
transcript.pyannote[311].end 948.47346875
transcript.whisperx[0].start 7.881
transcript.whisperx[0].end 21.449
transcript.whisperx[0].text 好 謝謝主席 主席在場的委員先進列席政務機關總統 官員 會長 工作夥伴 媒體 記者 女士先生有請我們邱部長請邱部長也請統計處的李處長統計處李處長委員好部長好 那今天因為有一個個人資料保護完理委員會的事務組的組長直接請他過來請組長好 很快 來我們來看今天最新最新的
transcript.whisperx[1].start 38.86
transcript.whisperx[1].end 61.752
transcript.whisperx[1].text 史上最大中國四四一比各支不設防全外線還有看到台灣的資料庫他們爆料者說從可以建立所有中國公民的行為社會經濟資料其中TWDB是台灣小款資料庫部長有沒有看到這樣的新聞爆料有今天有大家有討論過有討論過了你們的結論是什麼這跟你們之前有一位前主秘涉及洩密有沒有關係
transcript.whisperx[2].start 64.557
transcript.whisperx[2].end 92.485
transcript.whisperx[2].text 有沒有 這個可能要再查證喔你們預定多少才會查目前剪掉還在偵辦中目前剪掉偵辦中 這個在剪掉偵辦中那這個咧上面今天才爆料的咧有沒有開始啟動了有沒有兩個單位在處理了有沒有去查一查可能是從哪裡出去的這個資料庫不見得是從衛福部不見得是從健保資料庫出去的但是因為前面發生的這個健保資料庫外洩所以我們也很疑惑說現在中國的
transcript.whisperx[3].start 93.683
transcript.whisperx[3].end 114.273
transcript.whisperx[3].text 人民他們的各自外洩還包含了包含台灣的資料庫是不是趕快查部長要責任哪個單位你們目前這個檢調在查嘛對不對你們會主動的趕快去看看說這個資料跟他們所說的台灣資料庫有沒有關聯有沒有人可以來處理這檢調應該會調查
transcript.whisperx[4].start 119.214
transcript.whisperx[4].end 129.463
transcript.whisperx[4].text 你們自己要趕快去查說現在今天爆料的這個台灣資料庫會不會跟你們之前的電寶資料庫有關聯是不是這樣子我們是不是資訊處這邊了解嗎這個我們可以去協同速發部我們資訊處協同速發部好 那麼就拜託部長責成資訊處協同速發部趕快去查一下
transcript.whisperx[5].start 141.694
transcript.whisperx[5].end 168.357
transcript.whisperx[5].text 到底這裡面的資料庫是什麼會不會跟你們之前洩出去的健保資料庫有關聯好不好謝謝好那今天呢我們資料庫先問到這來往下看介師今天有關於貧窮線的檢討雖然不是今天的主題但是我看了一下其實呢目前說有女性在擔任低收跟中低收的有三成是單親媽媽按照目前的算法我就不再贅述這個所謂的可自備所得的中位數的六成為最低生活費
transcript.whisperx[6].start 169.076
transcript.whisperx[6].end 190.112
transcript.whisperx[6].text 那其中就是低收那麼如果是1.5倍的就是中低收其實呢有很多單親媽媽困在什麼譬如說娘家有一棟房子我常常在處理20年前我在屏東縣的時候我就在處理這個事情了那麼現在民團說貧窮人口目前實際可以符合的只有2%實際上要6% 部長你覺得呢我們目前國家的貧窮人口是2%還是6%沒有辦法判斷我們的
transcript.whisperx[7].start 196.943
transcript.whisperx[7].end 215.593
transcript.whisperx[7].text 我跟那個委員報告一下所謂的話貧窮人口佔百分之二的話他是已經經過那一種資產的然後百分之六的話呢是主計處公佈的主計處公佈的我們這個收入的是六趴但是取掉你們有資產能力的就只剩兩趴所以這六趴跟兩趴這樣來的好來部長我看一下你知不知道現在我們國家有多少人在繳稅所得稅你有繳吧
transcript.whisperx[8].start 226.854
transcript.whisperx[8].end 250.172
transcript.whisperx[8].text 你覺得你是在比較多的那一邊還是比較少的那一邊有繳稅的有繳所得稅的比較多還是沒有繳所得稅的比較多你猜猜看應該我是算一般啦過去我不是說你所得高不高啦我說台灣有人不用繳所得稅的有要繳所得稅的你是屬於要繳所得稅的那一邊你覺得你這邊的人比較多還是比較少要繳所得稅的人比較多
transcript.whisperx[9].start 253.902
transcript.whisperx[9].end 264.715
transcript.whisperx[9].text 比較多曾經在108年要繳所得稅的不繳所得稅的超過一半現在大概維持在四成七八左右不繳所得稅的從過去的26.51 94年的26年免繳所得稅的比他這麼高這說明什麼
transcript.whisperx[10].start 270.39
transcript.whisperx[10].end 291.14
transcript.whisperx[10].text 台灣的所得分配 財務分配在惡化所得分配比資產惡化的更快所以為什麼我們查出來所得它是屬於中低收可能低收的有6%但是拿掉資產之後只剩2%我們台灣的所得分配的惡化程度比資產分布的惡化程度更快
transcript.whisperx[11].start 292
transcript.whisperx[11].end 314.29
transcript.whisperx[11].text 那請問你今天我要維持生活我是靠我的資產而生活還是靠我的所得而生活所得是靠所得嘛所以我才說如果按照目前這個規定算出來目前如果要走主計總數的我們的中低收跟低收的標準的遠高於目前我們核定的標準人數啦就是因為你們把資產算進去之後我們就排除了
transcript.whisperx[12].start 315.031
transcript.whisperx[12].end 333.219
transcript.whisperx[12].text 但是就像我說的很多的單親媽媽他沒有辦法靠娘家的移動房子的遺產繼承權他來養孩子啊所以我們的貧窮線造成我們的社會福利的給予啊就有問題往下看所以到底要先推估貧窮人口的比例還先畫定貧窮線先有蛋還是先有雞你們要先推估我們多少貧窮人口再來畫這條貧窮線還是先畫出貧窮線自然貧窮人口的比例又出來是先有蛋還是先有雞
transcript.whisperx[13].start 343.902
transcript.whisperx[13].end 356.368
transcript.whisperx[13].text 很難回答對不對按照我們公共機關要依法兩個都要考量說得很好但是目前我們法律的規定寫在條文裡面的你先必須劃出貧窮線的定義然後呢再推出貧窮線的人口但是當你發現這已經跟現實脫離很遠的時候你要不要定期的檢討要不要定期檢討會不會要重新檢討你貧窮線的定義為什麼我們貧窮定義是用什麼是用可自備所得的六成作為
transcript.whisperx[14].start 374.217
transcript.whisperx[14].end 394.045
transcript.whisperx[14].text 貧窮線的標準這個有沒有道理有沒有道理寫在法律裡面可不可以改部長可不可以改我們貧窮線的定義可不可以討論可不可以檢討當然可以嘛我們很多社會福利的包括我們現在的調整都有一個根據我們的通膨的指數每四年檢討一次有沒有
transcript.whisperx[15].start 395.319
transcript.whisperx[15].end 411.174
transcript.whisperx[15].text 有沒有 有嘛 對不對所以未來我請你為何不趕快檢討我們貧窮縣的法定定義它的機制要不要訂入一個定期檢討譬如說每四年還是每多少年我們檢討一次每四年檢討一次或者說脫貨膨脹超過4%的時候我們就檢討一次不要讓這個貧窮縣變成造成我們真的貧窮人口陷於絕境部長可以嗎
transcript.whisperx[16].start 421.367
transcript.whisperx[16].end 442.688
transcript.whisperx[16].text 往這方面來修法好不好我們立法院我們也會寫出我們的版本但是我們認為過去以來我長期在地方政府遇到的這些想要救救不了的人就是定在我們的貧窮性的定義數十年來如一日啊從我在地方縣政府20年前當副縣長那個一倍1.5倍到現在還是一倍1.5倍資產調查排除哪些限制有做些調整
transcript.whisperx[17].start 443.729
transcript.whisperx[17].end 469.557
transcript.whisperx[17].text 像現在我們要求什麼 要把資產從500萬提高到700萬 類似這樣的問題好 趕快我現在問比較重要的問題 更重要的問題啦 來個別醫院總額制的薪資隱憂 有人提到遇到了總額制在加拿大 就會遇到手術延期那我們國內也會產生這個情況那最近有提到說 會不會排擠兒科病人因為譬如說 因為分科嘛 我醫院總額了我可能就拿兒科開刀 限制悶診人數轉給其他的成人兒科別醫院的經營者會不會這樣做
transcript.whisperx[18].start 473.832
transcript.whisperx[18].end 495.974
transcript.whisperx[18].text 醫院總和制會不會這樣做我們這個有一些剛性需求我們要保護的是的 所以要趕快的會不會造成非緊急手術被延後或者排擠到類似像比較冷門的科 額科的門診的這些解決方案有沒有開始在實施考量如果這樣的個別總和可以讓我們的分級醫療做得更好我支持那他們可以更有時間來開刀
transcript.whisperx[19].start 497.535
transcript.whisperx[19].end 522.421
transcript.whisperx[19].text 是這樣子好那你們要把這些短過渡時期的這些這些泳射這些負面現象要趕快盤點出來好不好好的往下站好那我們來看一下上游政策下游對策你醫院的個別總和制之後你看我們怎樣中小型醫院跟診所他就等一下他少收住院病患也少收門診大家就跑到大醫院會不會這樣子因為大醫院不能拒收嘛所以台灣台中籠統就變成被擠爆嘛是不是這樣子
transcript.whisperx[20].start 523.396
transcript.whisperx[20].end 540.793
transcript.whisperx[20].text 所以這個過渡時期的現象還發生在哪裡還往那看發生在我之前也在那天在財政委員會跟你問過了會這樣急診爆量可能會被斷頭醫院會被斷頭現場醫護呢待遇提升慢但是呢負荷量增加很快馬上產生離職離職之後就惡性循環部長上週我不是問過你這個問題
transcript.whisperx[21].start 543.464
transcript.whisperx[21].end 569.524
transcript.whisperx[21].text 是不是有問過這個問題是所以我們在遇到一個要往理想制度過渡的過程當中會遇到哪些過渡的現象我們同時要因應解方這個問題你說你打算怎麼解了你上次已經回答過了我就不再細問往下看所以我們來想一下我們來看一下我屏東個別的情況屏東農總希望未來成為準一中是不是這樣他這有宣布嘛院長支不支持屏東農總往準一中去邁進他定在一一八年
transcript.whisperx[22].start 571.889
transcript.whisperx[22].end 584.592
transcript.whisperx[22].text 院長知不知此地方屏東目前沒有醫學中心喔不是每個縣市都有醫學中心那我們很感恩我們有個屏東農總他也立志要成為準醫中您知不知此
transcript.whisperx[23].start 586.156
transcript.whisperx[23].end 605.38
transcript.whisperx[23].text 我想如果屏東農總評估他們當地的醫療需求需要發展成準醫學中心那當然是我們會樂觀其成好 但是上週公布了最賠錢的醫院有沒有包括屏東農總有 屏東農總跟他的農全分院前五名屏東佔了兩名我們有沒有很光榮啊
transcript.whisperx[24].start 606.807
transcript.whisperx[24].end 628.748
transcript.whisperx[24].text 這個是凸顯出一個我們醫療資源在都跟非都分布不均的情況這個不能規則於任何單一個人 單一機關 制度要想辦法去改變我希望我們努力去改變 但是另外一個問題往下看現在是這樣 現在我們的醫院總和智慧造成什麼呢假設我一個家庭 有牢 有小 有幼 有壯
transcript.whisperx[25].start 630.339
transcript.whisperx[25].end 638.756
transcript.whisperx[25].text 主持加計程被要求每年的伙食費只能增加4%所以就分配去了每個成員的伙食費都只能每年增加4%
transcript.whisperx[26].start 640.151
transcript.whisperx[26].end 659.62
transcript.whisperx[26].text 你問問看這個正在長大的他每年需要的伙食會難道只能成長4%嗎這些已經不再長大的還需要成長4%嗎你了解我的意思沒有了解所以在我們的地區的總和字你用個別醫院去算的時候要考慮到每個醫院的發展階段現在屏東農在什麼階段往上看屏東農在幼兒階段
transcript.whisperx[27].start 661.195
transcript.whisperx[27].end 666.78
transcript.whisperx[27].text 如果這整個高平地區的總額固定成長4%你只給屏東農種按照去年的門診量診療量來增加4%他才剛開啊他每一年要成長的幅度是很大的如果只能幹到前一年成長4%你覺得他活著養得活嗎部長你怎麼看
transcript.whisperx[28].start 681.101
transcript.whisperx[28].end 704.607
transcript.whisperx[28].text 剛剛您報的數據是這樣子是他的剛開的醫院遮臼力會比較快比較大所以變成會感覺上看起來比較虧損很多但是他的現金收入是一直是有增加的但是也受到你們區域總額的影響的分配所以你們不會說每個院都齊頭式的分配你們會按照每個醫院的發展狀況給是不是這樣
transcript.whisperx[29].start 705.647
transcript.whisperx[29].end 734.749
transcript.whisperx[29].text 我們署長點頭了嗎你要不要讓署長講一下特別的考量跟委員報告 當然在這個區域的總和下高頻的表現是很好他們的點值是趨近1.1塊錢那當然這個有些醫院它的成長會比較高於這個整體的區域成長那我們會實質上去看看它成長的情形然後後面再做一些適度的調整這樣所以目前我們屏東龍又要這個情況它要做的很多事
transcript.whisperx[30].start 735.429
transcript.whisperx[30].end 760.306
transcript.whisperx[30].text 但是他按照什麼 他是按照去年的同期的量能為基準點如果按照醫院個別總和制 他又不能拒收看的越多 住的越多 虧越多 是不是這樣 這是惡性循環部長可以救嗎 有沒有辦法改 有沒有辦法解決我們再找院長來討論一下 看看他整個是善意的找他來討論 不是找他說為什麼中原幫你講話是不是這樣 OK好南區實施健保個別醫院的總和三年多 屏東龍總去年虧了快1.66億
transcript.whisperx[31].start 761.857
transcript.whisperx[31].end 785.559
transcript.whisperx[31].text 怎麼樣朝準一中怎麼辦為了避免屏東病患如果屏東龍口不能成為準一中跑到高雄讓高雄的一中更嚴重這不是我們所熱見的所以我們希望部長可以承諾在未來我們推動醫院總和的制度之下考慮到在區域內的不同醫院的不同發展階段的不同定位給予一些不同的一些安排好不好好 那月主再看我趕快下來把他結束掉 往下看
transcript.whisperx[32].start 785.979
transcript.whisperx[32].end 808.106
transcript.whisperx[32].text 好那接下來最後一個問題就是說現在呢我們地方的醫院跟我們公共部門的衛生所以前我在當副縣長的時候我們有33個衛生所我們的護理人員還包括校護我們要做什麼要不要做預防保健是衛生所要不要做宣導當然要有的衛生所有群醫他要做醫療是有的要打預防注射對不對是的醫院是不是也做這些事情是不是醫院也會做這些事情公共部門的衛生所也會做這些事情
transcript.whisperx[33].start 814.008
transcript.whisperx[33].end 830.114
transcript.whisperx[33].text 但是經費從哪裡來 有從國健署來的 從衛福部來的 從機關署來的 從地方署來的 還有從健保署來的請問做這些事情上面都有錢進入到給這些單位去申請但是畢竟健保支出的比例對象跟公務預算支出的是不是要區分部長是不是要區分我總不能都拿健保的錢來做預防保健跟宣導吧
transcript.whisperx[34].start 837.455
transcript.whisperx[34].end 851.075
transcript.whisperx[34].text 比重啦我不是說完全沒有啦所以現在我們健保總額不夠用醫療院所挨挨救啊他說我要做很多事情啊但是你都從健保署錢去挖啊那公務預算要不要出公務預算要出一些啊
transcript.whisperx[35].start 851.963
transcript.whisperx[35].end 880.269
transcript.whisperx[35].text 是不是 署長你同不同意同意講得很大聲 你看這個馬上同意署長當然同意那報告委員其實政府這年來真的是從很多防治預防保健方面的確是付出更多的公務預算對啦 所以我這邊就幫你寫全盲健康保險法它是以醫療服務為主疾病傷害生育事故所以它的健保支出是應該做在這些醫療為主的
transcript.whisperx[36].start 881.429
transcript.whisperx[36].end 907.039
transcript.whisperx[36].text 其他的一些事情像傳染病的防治我上週才問過你一次像COVID-19期間我們有特別預算去預註那現在不是COVID-19已經不是那個法定傳染病的最高級了那我們把它降下來公務預算還支不支持要不要支持醫院做這些傳染這些季節性的好發的我們要不要支持用公務預算幫忙你要說要啊那我說我一定幫你忙啊這樣我才有私利的餘地啊
transcript.whisperx[37].start 909.675
transcript.whisperx[37].end 934.714
transcript.whisperx[37].text 這個就是我們要依據健保法啦或實際上當相關的法規來制定當然我們希望說相當公衛啦或者不在原來不在健保法裡面的的確是要用公務醫生很好最後一句話結論就來了最後一個結論所以全面檢討全民健康保險基金中預防保健及傳染病防治相關的幾副不符合健康保險法幾副的項目改為公務預認書可不可以
transcript.whisperx[38].start 936.022
transcript.whisperx[38].end 948.014
transcript.whisperx[38].text 應該要朝著這個方向來那這兩個標準我就不再重念了可不可以這兩個報告給本席謝謝也謝謝主席的榮騰謝謝兩位謝謝宗嘉賓委員發言接下來請廖偉祥委員發言