iVOD / 162334

Field Value
IVOD_ID 162334
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162334
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 2025-06-09T10:20:31+08:00
結束時間 2025-06-09T10:34:40+08:00
影片長度 00:14:09
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4d6a092c3b844592ff91a76eb364840fba6a1b99ce3116a0dcc938fdb7fbdb6814d49caf4f3f18ce5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 10:20:31 - 10:34:40
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_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 5.46471875
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 4.82346875
transcript.pyannote[1].end 9.00846875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 7.81034375
transcript.pyannote[2].end 8.99159375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 9.00846875
transcript.pyannote[3].end 9.02534375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 9.21096875
transcript.pyannote[4].end 10.08846875
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 13.56471875
transcript.pyannote[5].end 19.03221875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 19.52159375
transcript.pyannote[6].end 20.36534375
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 19.58909375
transcript.pyannote[7].end 19.85909375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 20.36534375
transcript.pyannote[8].end 26.27159375
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 26.87909375
transcript.pyannote[9].end 30.18659375
transcript.pyannote[10].speaker SPEAKER_04
transcript.pyannote[10].start 31.06409375
transcript.pyannote[10].end 33.61221875
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 34.65846875
transcript.pyannote[11].end 36.54846875
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 37.34159375
transcript.pyannote[12].end 40.54784375
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 41.69534375
transcript.pyannote[13].end 42.52221875
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 43.36596875
transcript.pyannote[14].end 44.63159375
transcript.pyannote[15].speaker SPEAKER_04
transcript.pyannote[15].start 44.83409375
transcript.pyannote[15].end 50.79096875
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 51.65159375
transcript.pyannote[16].end 52.68096875
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 53.77784375
transcript.pyannote[17].end 54.85784375
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 55.81971875
transcript.pyannote[18].end 57.06846875
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 58.73909375
transcript.pyannote[19].end 60.73034375
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 61.91159375
transcript.pyannote[20].end 63.31221875
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 64.40909375
transcript.pyannote[21].end 68.15534375
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 68.86409375
transcript.pyannote[22].end 69.38721875
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 69.74159375
transcript.pyannote[23].end 70.51784375
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 71.14221875
transcript.pyannote[24].end 76.76159375
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 76.79534375
transcript.pyannote[25].end 78.97221875
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 79.56284375
transcript.pyannote[26].end 80.60909375
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 80.67659375
transcript.pyannote[27].end 82.68471875
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 83.34284375
transcript.pyannote[28].end 95.32409375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 87.24096875
transcript.pyannote[29].end 87.37596875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 87.37596875
transcript.pyannote[30].end 87.40971875
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 95.54346875
transcript.pyannote[31].end 102.17534375
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 102.68159375
transcript.pyannote[32].end 105.51659375
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 106.39409375
transcript.pyannote[33].end 110.15721875
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 111.00096875
transcript.pyannote[34].end 117.63284375
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 117.85221875
transcript.pyannote[35].end 135.63846875
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 136.43159375
transcript.pyannote[36].end 138.69284375
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 139.57034375
transcript.pyannote[37].end 140.21159375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 140.58284375
transcript.pyannote[38].end 143.73846875
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 144.63284375
transcript.pyannote[39].end 153.17159375
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 153.69471875
transcript.pyannote[40].end 155.02784375
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 155.65221875
transcript.pyannote[41].end 156.90096875
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 157.79534375
transcript.pyannote[42].end 158.30159375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 160.37721875
transcript.pyannote[43].end 162.75659375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 163.39784375
transcript.pyannote[44].end 170.50221875
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 170.89034375
transcript.pyannote[45].end 173.13471875
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 174.36659375
transcript.pyannote[46].end 176.23971875
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 176.52659375
transcript.pyannote[47].end 180.20534375
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 181.11659375
transcript.pyannote[48].end 183.88409375
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 185.14971875
transcript.pyannote[49].end 186.34784375
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 186.95534375
transcript.pyannote[50].end 190.63409375
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 191.05596875
transcript.pyannote[51].end 192.28784375
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 192.86159375
transcript.pyannote[52].end 194.44784375
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 195.07221875
transcript.pyannote[53].end 197.58659375
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 198.97034375
transcript.pyannote[54].end 207.72846875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 208.09971875
transcript.pyannote[55].end 209.48346875
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 210.14159375
transcript.pyannote[56].end 211.39034375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 211.69409375
transcript.pyannote[57].end 216.84096875
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 217.06034375
transcript.pyannote[58].end 218.57909375
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 218.88284375
transcript.pyannote[59].end 219.38909375
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 219.84471875
transcript.pyannote[60].end 220.92471875
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 221.63346875
transcript.pyannote[61].end 223.86096875
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 224.58659375
transcript.pyannote[62].end 226.83096875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 227.59034375
transcript.pyannote[63].end 228.95721875
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 228.97409375
transcript.pyannote[64].end 229.02471875
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 229.39596875
transcript.pyannote[65].end 231.13409375
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 231.85971875
transcript.pyannote[66].end 235.84221875
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 237.34409375
transcript.pyannote[67].end 245.34284375
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 245.98409375
transcript.pyannote[68].end 248.54909375
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 249.25784375
transcript.pyannote[69].end 250.45596875
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 251.36721875
transcript.pyannote[70].end 252.44721875
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 252.88596875
transcript.pyannote[71].end 253.71284375
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 254.28659375
transcript.pyannote[72].end 257.94846875
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 260.24346875
transcript.pyannote[73].end 262.21784375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 263.95596875
transcript.pyannote[74].end 265.20471875
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 265.69409375
transcript.pyannote[75].end 266.28471875
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 267.04409375
transcript.pyannote[76].end 267.39846875
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 267.71909375
transcript.pyannote[77].end 269.60909375
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 270.84096875
transcript.pyannote[78].end 272.88284375
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 273.01784375
transcript.pyannote[79].end 275.11034375
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 275.51534375
transcript.pyannote[80].end 283.21034375
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 284.15534375
transcript.pyannote[81].end 284.67846875
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 285.37034375
transcript.pyannote[82].end 295.36034375
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 296.13659375
transcript.pyannote[83].end 296.45721875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 297.52034375
transcript.pyannote[84].end 303.94971875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 304.05096875
transcript.pyannote[85].end 334.81409375
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 334.81409375
transcript.pyannote[86].end 337.54784375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 336.92346875
transcript.pyannote[87].end 349.27596875
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 349.56284375
transcript.pyannote[88].end 359.53596875
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 360.21096875
transcript.pyannote[89].end 363.85596875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 362.92784375
transcript.pyannote[90].end 371.28096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 371.56784375
transcript.pyannote[91].end 374.70659375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 374.94284375
transcript.pyannote[92].end 387.05909375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 387.61596875
transcript.pyannote[93].end 399.58034375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 399.58034375
transcript.pyannote[94].end 403.09034375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 399.71534375
transcript.pyannote[95].end 400.76159375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 403.78221875
transcript.pyannote[96].end 405.26721875
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 405.55409375
transcript.pyannote[97].end 411.05534375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 411.20721875
transcript.pyannote[98].end 412.97909375
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 413.82284375
transcript.pyannote[99].end 416.30346875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 417.38346875
transcript.pyannote[100].end 428.31846875
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 429.36471875
transcript.pyannote[101].end 430.66409375
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 431.10284375
transcript.pyannote[102].end 434.03909375
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 434.47784375
transcript.pyannote[103].end 438.07221875
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 438.54471875
transcript.pyannote[104].end 440.65409375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 441.24471875
transcript.pyannote[105].end 443.06721875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 444.02909375
transcript.pyannote[106].end 451.85909375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 452.36534375
transcript.pyannote[107].end 456.90471875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 456.97221875
transcript.pyannote[108].end 457.03971875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 457.09034375
transcript.pyannote[109].end 461.49471875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 461.49471875
transcript.pyannote[110].end 466.57409375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 462.30471875
transcript.pyannote[111].end 462.32159375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 462.37221875
transcript.pyannote[112].end 462.42284375
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 467.14784375
transcript.pyannote[113].end 472.31159375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 472.61534375
transcript.pyannote[114].end 487.44846875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 486.79034375
transcript.pyannote[115].end 487.46534375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 487.46534375
transcript.pyannote[116].end 493.38846875
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 494.48534375
transcript.pyannote[117].end 498.13034375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 498.99096875
transcript.pyannote[118].end 506.88846875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 508.12034375
transcript.pyannote[119].end 510.80346875
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 512.13659375
transcript.pyannote[120].end 514.31346875
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 514.97159375
transcript.pyannote[121].end 520.38846875
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 520.59096875
transcript.pyannote[122].end 526.21034375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 526.64909375
transcript.pyannote[123].end 528.11721875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 528.48846875
transcript.pyannote[124].end 528.52221875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 528.52221875
transcript.pyannote[125].end 553.64909375
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 553.64909375
transcript.pyannote[126].end 554.86409375
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 555.50534375
transcript.pyannote[127].end 561.63096875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 562.27221875
transcript.pyannote[128].end 562.93034375
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 564.01034375
transcript.pyannote[129].end 574.57409375
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 574.91159375
transcript.pyannote[130].end 575.68784375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 575.77221875
transcript.pyannote[131].end 581.81346875
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 581.81346875
transcript.pyannote[132].end 583.02846875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 582.55596875
transcript.pyannote[133].end 594.89159375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 594.95909375
transcript.pyannote[134].end 595.22909375
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 595.22909375
transcript.pyannote[135].end 595.33034375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 595.33034375
transcript.pyannote[136].end 595.34721875
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 595.34721875
transcript.pyannote[137].end 595.73534375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 595.73534375
transcript.pyannote[138].end 595.92096875
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 595.92096875
transcript.pyannote[139].end 597.87846875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 597.87846875
transcript.pyannote[140].end 597.89534375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 598.38471875
transcript.pyannote[141].end 599.00909375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 599.16096875
transcript.pyannote[142].end 600.98346875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 601.15221875
transcript.pyannote[143].end 604.49346875
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 601.40534375
transcript.pyannote[144].end 601.94534375
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 604.49346875
transcript.pyannote[145].end 606.48471875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 606.13034375
transcript.pyannote[146].end 606.31596875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 606.33284375
transcript.pyannote[147].end 606.34971875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 606.36659375
transcript.pyannote[148].end 606.38346875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 606.48471875
transcript.pyannote[149].end 606.53534375
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 606.53534375
transcript.pyannote[150].end 606.68721875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 606.68721875
transcript.pyannote[151].end 606.97409375
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 606.97409375
transcript.pyannote[152].end 607.09221875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 607.09221875
transcript.pyannote[153].end 607.12596875
transcript.pyannote[154].speaker SPEAKER_04
transcript.pyannote[154].start 607.12596875
transcript.pyannote[154].end 607.63221875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 607.63221875
transcript.pyannote[155].end 607.73346875
transcript.pyannote[156].speaker SPEAKER_04
transcript.pyannote[156].start 607.73346875
transcript.pyannote[156].end 607.76721875
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 608.56034375
transcript.pyannote[157].end 609.03284375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 609.03284375
transcript.pyannote[158].end 609.48846875
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 609.48846875
transcript.pyannote[159].end 615.24284375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 609.58971875
transcript.pyannote[160].end 609.69096875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 609.85971875
transcript.pyannote[161].end 609.99471875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 614.95596875
transcript.pyannote[162].end 617.35221875
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 617.35221875
transcript.pyannote[163].end 617.38596875
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 617.58846875
transcript.pyannote[164].end 618.43221875
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 619.52909375
transcript.pyannote[165].end 622.26284375
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 622.78596875
transcript.pyannote[166].end 623.93346875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 624.65909375
transcript.pyannote[167].end 625.82346875
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 626.65034375
transcript.pyannote[168].end 635.98221875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 636.10034375
transcript.pyannote[169].end 636.70784375
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 637.68659375
transcript.pyannote[170].end 638.85096875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 639.08721875
transcript.pyannote[171].end 642.73221875
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 643.15409375
transcript.pyannote[172].end 648.03096875
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 648.23346875
transcript.pyannote[173].end 649.26284375
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 649.80284375
transcript.pyannote[174].end 651.49034375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 651.38909375
transcript.pyannote[175].end 651.43971875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 651.49034375
transcript.pyannote[176].end 651.92909375
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 651.92909375
transcript.pyannote[177].end 654.00471875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 654.56159375
transcript.pyannote[178].end 656.58659375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 658.13909375
transcript.pyannote[179].end 658.62846875
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 659.16846875
transcript.pyannote[180].end 660.02909375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 660.02909375
transcript.pyannote[181].end 661.21034375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 662.39159375
transcript.pyannote[182].end 664.83846875
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 665.26034375
transcript.pyannote[183].end 665.78346875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 665.91846875
transcript.pyannote[184].end 666.25596875
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 666.47534375
transcript.pyannote[185].end 668.93909375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 667.58909375
transcript.pyannote[186].end 668.02784375
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 669.58034375
transcript.pyannote[187].end 677.66346875
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 677.89971875
transcript.pyannote[188].end 683.31659375
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 683.95784375
transcript.pyannote[189].end 689.44221875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 690.11721875
transcript.pyannote[190].end 693.28971875
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 694.01534375
transcript.pyannote[191].end 695.02784375
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 695.28096875
transcript.pyannote[192].end 695.80409375
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 696.47909375
transcript.pyannote[193].end 697.08659375
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 697.52534375
transcript.pyannote[194].end 698.14971875
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 698.67284375
transcript.pyannote[195].end 701.92971875
transcript.pyannote[196].speaker SPEAKER_04
transcript.pyannote[196].start 702.58784375
transcript.pyannote[196].end 703.39784375
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 704.25846875
transcript.pyannote[197].end 707.29596875
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 707.95409375
transcript.pyannote[198].end 710.63721875
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 710.97471875
transcript.pyannote[199].end 715.95284375
transcript.pyannote[200].speaker SPEAKER_04
transcript.pyannote[200].start 716.27346875
transcript.pyannote[200].end 724.42409375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 724.86284375
transcript.pyannote[201].end 725.25096875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 725.25096875
transcript.pyannote[202].end 737.80596875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 737.51909375
transcript.pyannote[203].end 742.10909375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 740.67471875
transcript.pyannote[204].end 746.17596875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 744.45471875
transcript.pyannote[205].end 744.79221875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 746.34471875
transcript.pyannote[206].end 784.34721875
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 785.05596875
transcript.pyannote[207].end 791.40096875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 791.83971875
transcript.pyannote[208].end 795.92346875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 796.46346875
transcript.pyannote[209].end 798.58971875
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 799.26471875
transcript.pyannote[210].end 803.31471875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 803.29784375
transcript.pyannote[211].end 803.70284375
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 803.70284375
transcript.pyannote[212].end 808.93409375
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 809.22096875
transcript.pyannote[213].end 818.18159375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 811.00971875
transcript.pyannote[214].end 811.34721875
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 818.95784375
transcript.pyannote[215].end 819.93659375
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 820.35846875
transcript.pyannote[216].end 822.68721875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 823.31159375
transcript.pyannote[217].end 841.95846875
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 842.53221875
transcript.pyannote[218].end 843.32534375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 844.35471875
transcript.pyannote[219].end 846.16034375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 847.39221875
transcript.pyannote[220].end 849.09659375
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 3.41
transcript.whisperx[0].text 剛才大家都在講急診,我幫你講屏東的情況是,謝謝屏東,屏東市有很嚴重度,屏東貧瘠
transcript.whisperx[1].start 27.04
transcript.whisperx[1].end 50.428
transcript.whisperx[1].text 他的腦神因為腎中毒後他就要腦神經內科要二十四小時所以大家都在等他去找他的四個神經內科醫生找三個現在只剩下一個一個要來我那裡我說不可以啦你不可以把他修我跟他認定說你不可以把他修那修了他就斑斑
transcript.whisperx[2].start 51.67
transcript.whisperx[2].end 56.912
transcript.whisperx[2].text 很嚴重,有三個醫生,五個早上到早上兩個都早上,早上兩個都早上,每天連續一天,早上兩個有三個醫生,一個八十幾歲,一個六十幾歲,數十,還沒要胖,所以我現在跟他們說,不然就做區域聯防啦,區域聯防,這是一個步啦,所以還是要想辦法啦,
transcript.whisperx[3].start 79.6
transcript.whisperx[3].end 101.009
transcript.whisperx[3].text 那這所以平基任何跑掉的就就給他引導 再去府營 婦產科啦不然怎麼辦所以我們在地方上我們都很努力的在讓他能夠維持好的運作雖然要有保證知道事情真的可能不是跟他鬥氣而已身高也很嚴重因為現在婦產科醫生平均五六十歲
transcript.whisperx[4].start 106.431
transcript.whisperx[4].end 108.355
transcript.whisperx[4].text 所以現在生小孩在家麻煩,婦醫生麻煩
transcript.whisperx[5].start 111.038
transcript.whisperx[5].end 132.992
transcript.whisperx[5].text 那像兒科,我們那邊現在維持七個兒科醫師,都是刺磚科那是硬要拿的,每個都撩錢,撩到頭就頭所以這個要怎麼去補償?署長你可能要研究看看每一次看到你們我都很疼惜啦還要疼惜我們這個年輕人現在整個社會的觀念都變了現在年輕人,沒有在聽這套啦
transcript.whisperx[6].start 139.685
transcript.whisperx[6].end 156.189
transcript.whisperx[6].text 現在因為科技業者晶片業者他們太好找工作了而且只要你願意值班我們的住院醫師在值班人家在晶片的施工的也在值班但是人家只要值班年薪就250萬起跳
transcript.whisperx[7].start 161.142
transcript.whisperx[7].end 183.701
transcript.whisperx[7].text 我去竹科那邊看 八八八三班另外一個班是on call那on call就是不能離開新竹縣市call你的時候40分鐘要到那就四班在亂每一個都是250起跳 隔年就可以到300萬了我院長的小孩是念志工碩士
transcript.whisperx[8].start 185.182
transcript.whisperx[8].end 196.898
transcript.whisperx[8].text 他現在在日夜光我說你現在年薪多少他就說80幾萬年薪沒有就上白班而已如果說他要值班就260
transcript.whisperx[9].start 199.085
transcript.whisperx[9].end 223.105
transcript.whisperx[9].text 所以現在年輕人你跟他講說 喔 當公務人員多好當警察多好 當醫生多好他不應該信到以前的公務人員 社會地位都很高現在公務人員要搞一個什麼退休用你自己提撥的錢 加政府提撥的錢這一筆基金 發完就沒了現在聽說變成這樣 這樣還得了我覺得這以後搞不搞就沒有人要考啦
transcript.whisperx[10].start 227.692
transcript.whisperx[10].end 229.961
transcript.whisperx[10].text 整個都崩盤了嘛所以整個價值觀都變啦
transcript.whisperx[11].start 232.332
transcript.whisperx[11].end 257.698
transcript.whisperx[11].text 這醫生這麼多年都沒薪水、沒什麼提高所以還是要籌多一點錢待遇還是很重要的一位醫生到台北去做醫生、做到老沒有一間房子,要找西人人家在國外是薪水月薪月薪差不多18個月就可以買一個房子
transcript.whisperx[12].start 260.673
transcript.whisperx[12].end 282.978
transcript.whisperx[12].text 四個月也可以買一部車子這是當統計所以部長還有署長你們責任重大好 今天講今天的健保的東西這十幾年來就是偶爾就會出現一個官員用CME拿資料出去了然後被判刑了
transcript.whisperx[13].start 284.178
transcript.whisperx[13].end 295.324
transcript.whisperx[13].text 好像都一直來那你現在的那個內部要拿資料的前線現在到底有沒有加強部長我們有要求健保署一定要去查清楚整個機制要加強請署長回答
transcript.whisperx[14].start 304.347
transcript.whisperx[14].end 320.083
transcript.whisperx[14].text 跟委員報告這個案子當然還在檢調偵查中不過我們在這個事件之後已經重新檢討過在內積的部分去強化包含資料使用權限的限縮還有可取得的這個
transcript.whisperx[15].start 321.484
transcript.whisperx[15].end 339.789
transcript.whisperx[15].text 資料的那個欄位就是最少原則那如果需要到大筆資料還要簽核所以都加強了這個內控的機制所有的使用紀錄都會被留下來就是你只要經過就對對對對另外還導入外機的機制包含這個ISO27001的標準CNS27001的標準還有外機所以我們是強化內機之外也導入外機的機制
transcript.whisperx[16].start 349.571
transcript.whisperx[16].end 366.115
transcript.whisperx[16].text 好那出皮肉都是健保署那國健署都沒問題喔國健署的資料也沒救捏我們這三高我們這什麼癌症病人都害得了所以國健署這邊有沒有洩露出去有沒有出事跟蘇昭偉報告一下這兩件事這個是形式問題這是他自己這是職員那個怕我們這個話齁
transcript.whisperx[17].start 371.696
transcript.whisperx[17].end 378.039
transcript.whisperx[17].text 那是我們本來就很嚴格,要在那個本金裡面,去個別化或是識別化,拿出來今天可以再做這兩件事情啦,那這個我們當然需要去檢討
transcript.whisperx[18].start 388.749
transcript.whisperx[18].end 416.109
transcript.whisperx[18].text 但是今天討論的是因為我們本來就已經在做後來是因為宣判所以我們把他弄得就能夠讓大家安心病人隱私的一個保護跟安全啦這有兩個齁這個法案過了會比較清楚規範說要怎麼贏啊背信給人家拿資料去贏我希望疫情開始的20年我的資料可以贏沒有你的資料可以贏你也不知道
transcript.whisperx[19].start 417.55
transcript.whisperx[19].end 439.35
transcript.whisperx[19].text 說什麼去名字都去掉就用了搞不好你已經被用了一百次了我被用了一千次了論文就有六千篇了嘛對不對所以你這個法通過你也不知道你繼續也不知道你到底有沒有用啊說你可以退出還是不同意我不知道發一個發一個問求你說給天保署說我的資料都沒有用
transcript.whisperx[20].start 445.86
transcript.whisperx[20].end 460.488
transcript.whisperx[20].text 有這個我們社權法規委來處理這個而且會更細膩來看他不能釋出哪些資料那基本上如果去識別化的話像我個人的話我覺得只要識別化對公共衛生對國家的一個醫藥發展提升我覺得應該是
transcript.whisperx[21].start 461.553
transcript.whisperx[21].end 486.308
transcript.whisperx[21].text 沒有啦 我們的資料被用去世白話 名字都遮起來這樣 這樣如果能遮到這樣 那當然安心啦對社會也有貢獻 連捐大體都在捐的大體老師都是這樣捐的嘛所以 我們是可以理解但是一般百姓會不會理解 我不知道好 你這個法通過之後跟另外一件事就是倒賣個資 倒賣資料出去這是兩回事
transcript.whisperx[22].start 487.849
transcript.whisperx[22].end 510.487
transcript.whisperx[22].text 所以倒賣這一塊你們有什麼防患的措施剛剛署長講的以外有加強嗎 還是現在都不可能發生啊從此以後不會發生的對 我們都強化了就是剛剛講的都是在那個事件之後我們重新檢討過強化到目前的話都維持得很好我們一定要強化到絕對不可能再發生
transcript.whisperx[23].start 512.202
transcript.whisperx[23].end 519.428
transcript.whisperx[23].text 今天這個法案拿出來 院辦得出來是要迎合這個憲法法庭的判決那跟我們資料會被盜賣這是兩回事所以這個要怎麼加強
transcript.whisperx[24].start 526.704
transcript.whisperx[24].end 554.62
transcript.whisperx[24].text 你要回答?來,你來回答我來,我問李處長資料被...大量資料被下載所以我們已經從去年開始就進行一個管理每個月每個單位,它只要有哪一個人在不對的時間、不對的地點、不對的量去下載資料,我們全部都有掌握然後都會給各個主管所以這個在USB跟硬碟現在都有這些管理跟委員報告好,OK
transcript.whisperx[25].start 555.595
transcript.whisperx[25].end 577.513
transcript.whisperx[25].text 那我們健保這樣說30年來我們的就醫資料有680幾億筆有這麼多那怎麼用你們現在有人家的apply來申請你們IRB通過之外你們這邊有一個委員會在審查在核准嗎我們有專案小組有專案小組這裡面有24個委員在做審查
transcript.whisperx[26].start 582.798
transcript.whisperx[26].end 607.499
transcript.whisperx[26].text 那現在的設計如果經過審查以後當然沒有爭議就就看看後續怎麼樣我們會再來演繹但是如果有困難矛盾的話我們會有執議會來處理所以這個審查委員會上面還有一個執議會那這個執議會是這個因為他不可能主案審查那可能會受不了啦不可能啦不可能所以這個委員會先
transcript.whisperx[27].start 608.655
transcript.whisperx[27].end 611.78
transcript.whisperx[27].text 先審查小組,過了就過了,沒有過的再送到執意會有爭議的到執意會
transcript.whisperx[28].start 619.622
transcript.whisperx[28].end 632.197
transcript.whisperx[28].text 好那最後一個問題現在疫苗現在有還有三百多萬劑那現在要你不是支持高麗大家要煮有我自己煮六支我這個如果標準的就兩個童弟我就煮但是我煮到現在我會嚇到的阿博爹你有煮嗎
transcript.whisperx[29].start 639.167
transcript.whisperx[29].end 650.513
transcript.whisperx[29].text 我十月請他煮一支,四月請他煮一支我現在有很多老闆或鄉長、鎮長跟我說要煮嗎?煮了怎麼辦?我說你不煮可能會瘋掉煮會瘋掉嗎?我說也不一定煮疫苗出現事情的規矩但是你不煮疫苗應該是更危險
transcript.whisperx[30].start 665.305
transcript.whisperx[30].end 688.922
transcript.whisperx[30].text 錄影,這樣會中症嘛,中症會跳起來因為我在民間看那些玩家,有的年輕人,有的年輕人在過去這個疫情,做疫苗要有心理不整的有肉膜積水,心肝膜積水,咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕
transcript.whisperx[31].start 694.045
transcript.whisperx[31].end 715.664
transcript.whisperx[31].text 我想大家都會說有可能有可能但是他們去秤的那些要害沒有一件過的因為都不會死 但是就都有症狀有的真的 主要病心力不整 真的有所以我在新浪溝這邊碰到一大堆所以我越看越擔心
transcript.whisperx[32].start 716.405
transcript.whisperx[32].end 719.928
transcript.whisperx[32].text 所以你現在叫我打,我還是會去打啦但是我怕會被打掉但是如果有人問我,我真的會保留保證你宣示一下市長可不可以請我們專家跟大家宣導一下打疫苗是不是過去專家的
transcript.whisperx[33].start 735.469
transcript.whisperx[33].end 736.17
transcript.whisperx[33].text 因為我們目前都還是有在針對所有的這個
transcript.whisperx[34].start 751.802
transcript.whisperx[34].end 775.724
transcript.whisperx[34].text 疫苗的接種之後有如果不良反應其實是都可以通報所以我們一直有在蒐集這方面的數據然後在這個食藥署這邊有去做定期的這個統計那另外像委員提到就是說有這種接種之後疑似是因為疫苗造成的其實我們在這個不管在第一層衛生局這邊也都會去做調查然後如果這個真的是可能跟疫苗有關的也都會跟他說有這個救濟的這個管道
transcript.whisperx[35].start 776.184
transcript.whisperx[35].end 798.171
transcript.whisperx[35].text 也就是可以提這個疫苗接種預防接種受害救濟這個部分那我們有一個獨立的這個專家委員會去做審議去判斷這個相關性因為疫苗本身一直在突變突變突變到現在跟原來的以前三年前的完全不太一樣了嘛那所以你現在新的疫苗是最新的這個病毒的突變那應該都有cover到
transcript.whisperx[36].start 799.372
transcript.whisperx[36].end 817.937
transcript.whisperx[36].text 至少自主會後 如果中就中不中重鎮嘛重鎮的死亡率高嘛 尤其是三高的人所以還是鼓勵要打啦個人覺得也是要鼓勵啦所以你們要宣導要講清楚啦現在老人家最大的疑慮就是剛剛我講的無主會死 主人白會死嗎
transcript.whisperx[37].start 823.702
transcript.whisperx[37].end 844.605
transcript.whisperx[37].text 所以現在針對這個疫苗接種的利弊得失的話我們當然還是會最建議的就是在這個高風險的族群像是這65歲以上的長者或者是這個有這個慢性病的患者他們如果得到這個新冠之後病發重症跟死亡的風險都很高所以在這個族群我們是一直大力的推廣要接種好 謝謝好 謝謝署長 謝謝 謝謝主席好 謝謝 謝謝部長 謝謝