iVOD / 168688

Field Value
IVOD_ID 168688
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168688
日期 2026-04-22
會議資料.會議代碼 委員會-11-5-35-12
會議資料.會議代碼:str 第11屆第5會期外交及國防委員會第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] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第5會期外交及國防委員會第12次全體委員會議
影片種類 Clip
開始時間 2026-04-22T10:01:02+08:00
結束時間 2026-04-22T10:11:36+08:00
影片長度 00:10:34
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5b5880b40c5769f1f410521377ee067ca31e0b39ac3e37f8dfea45507174d0798ce2492c85169a165ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王定宇
委員發言時間 10:01:02 - 10:11:36
會議時間 2026-04-22T09:00:00+08:00
會議名稱 立法院第11屆第5會期外交及國防委員會第12次全體委員會議(事由:一、審查115年度中央政府總預算案關於國軍退除役官兵輔導委員會主管收支部分。(僅詢答) 二、審查115年度中央政府總預算案附屬單位預算關於國軍退除役官兵輔導委員會主管非營業基金-作業基金:(僅詢答) (一)國軍退除役官兵安置基金。 (二)榮民醫療作業基金。 (4月22日及23日二天一次會))
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 1.17846875
transcript.pyannote[0].end 3.62534375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 10.12221875
transcript.pyannote[1].end 11.72534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 10.45971875
transcript.pyannote[2].end 10.61159375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 12.18096875
transcript.pyannote[3].end 27.53721875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 28.00971875
transcript.pyannote[4].end 32.85284375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 33.51096875
transcript.pyannote[5].end 44.53034375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 44.90159375
transcript.pyannote[6].end 50.58846875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 51.29721875
transcript.pyannote[7].end 55.83659375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 56.41034375
transcript.pyannote[8].end 58.41846875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 59.00909375
transcript.pyannote[9].end 61.54034375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 61.94534375
transcript.pyannote[10].end 74.85471875
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 76.12034375
transcript.pyannote[11].end 101.73659375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 86.31284375
transcript.pyannote[12].end 86.65034375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 100.84221875
transcript.pyannote[13].end 106.68096875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 106.54596875
transcript.pyannote[14].end 106.95096875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 107.52471875
transcript.pyannote[15].end 108.03096875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 108.48659375
transcript.pyannote[16].end 110.03909375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 110.14034375
transcript.pyannote[17].end 110.73096875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 110.49471875
transcript.pyannote[18].end 115.47284375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 115.11846875
transcript.pyannote[19].end 115.87784375
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 116.14784375
transcript.pyannote[20].end 117.71721875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 117.71721875
transcript.pyannote[21].end 118.17284375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 118.12221875
transcript.pyannote[22].end 122.23971875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 122.79659375
transcript.pyannote[23].end 124.41659375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 124.99034375
transcript.pyannote[24].end 126.52596875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 127.11659375
transcript.pyannote[25].end 137.14034375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 137.37659375
transcript.pyannote[26].end 138.27096875
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 140.63346875
transcript.pyannote[27].end 144.02534375
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 144.85221875
transcript.pyannote[28].end 150.53909375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 151.34909375
transcript.pyannote[29].end 153.64409375
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 152.17596875
transcript.pyannote[30].end 154.43721875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 154.13346875
transcript.pyannote[31].end 154.58909375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 155.46659375
transcript.pyannote[32].end 161.18721875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 161.37284375
transcript.pyannote[33].end 164.32596875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 161.60909375
transcript.pyannote[34].end 161.69346875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 162.33471875
transcript.pyannote[35].end 164.78159375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 164.59596875
transcript.pyannote[36].end 170.50221875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 170.43471875
transcript.pyannote[37].end 170.45159375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 170.50221875
transcript.pyannote[38].end 170.58659375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 170.58659375
transcript.pyannote[39].end 172.86471875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 170.60346875
transcript.pyannote[40].end 170.80596875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 170.80596875
transcript.pyannote[41].end 170.83971875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 173.55659375
transcript.pyannote[42].end 174.60284375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 174.60284375
transcript.pyannote[43].end 176.42534375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 176.62784375
transcript.pyannote[44].end 189.97596875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 189.97596875
transcript.pyannote[45].end 194.24534375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 190.00971875
transcript.pyannote[46].end 190.87034375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 194.48159375
transcript.pyannote[47].end 198.66659375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 199.12221875
transcript.pyannote[48].end 201.23159375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 201.63659375
transcript.pyannote[49].end 204.74159375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 205.12971875
transcript.pyannote[50].end 206.07471875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 206.31096875
transcript.pyannote[51].end 206.83409375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 206.96909375
transcript.pyannote[52].end 211.12034375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 209.51721875
transcript.pyannote[53].end 211.18784375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 211.37346875
transcript.pyannote[54].end 213.07784375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 211.47471875
transcript.pyannote[55].end 211.96409375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 214.47846875
transcript.pyannote[56].end 215.72721875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 217.11096875
transcript.pyannote[57].end 219.28784375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 219.76034375
transcript.pyannote[58].end 221.53221875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 221.73471875
transcript.pyannote[59].end 222.56159375
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 223.00034375
transcript.pyannote[60].end 232.02846875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 232.72034375
transcript.pyannote[61].end 237.81659375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 236.88846875
transcript.pyannote[62].end 239.03159375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 239.03159375
transcript.pyannote[63].end 240.22971875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 240.87096875
transcript.pyannote[64].end 252.61596875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 253.05471875
transcript.pyannote[65].end 255.51846875
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 255.40034375
transcript.pyannote[66].end 256.83471875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 256.37909375
transcript.pyannote[67].end 258.04971875
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 258.79221875
transcript.pyannote[68].end 258.80909375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 259.02846875
transcript.pyannote[69].end 259.04534375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 259.06221875
transcript.pyannote[70].end 274.67159375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 274.65471875
transcript.pyannote[71].end 275.21159375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 275.17784375
transcript.pyannote[72].end 290.58471875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 282.70409375
transcript.pyannote[73].end 283.24409375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 291.00659375
transcript.pyannote[74].end 297.70596875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 298.46534375
transcript.pyannote[75].end 302.58284375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 303.59534375
transcript.pyannote[76].end 305.01284375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 305.67096875
transcript.pyannote[77].end 309.51846875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 310.44659375
transcript.pyannote[78].end 311.12159375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 312.18471875
transcript.pyannote[79].end 318.56346875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 318.73221875
transcript.pyannote[80].end 321.48284375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 321.63471875
transcript.pyannote[81].end 324.43596875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 324.45284375
transcript.pyannote[82].end 324.89159375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 324.87471875
transcript.pyannote[83].end 327.20346875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 327.74346875
transcript.pyannote[84].end 329.49846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 329.85284375
transcript.pyannote[85].end 330.24096875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 330.24096875
transcript.pyannote[86].end 332.60346875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 332.99159375
transcript.pyannote[87].end 337.56471875
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 338.56034375
transcript.pyannote[88].end 338.86409375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 339.43784375
transcript.pyannote[89].end 342.05346875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 342.72846875
transcript.pyannote[90].end 351.80721875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 352.22909375
transcript.pyannote[91].end 353.64659375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 353.69721875
transcript.pyannote[92].end 353.98409375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 353.98409375
transcript.pyannote[93].end 360.02534375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 360.05909375
transcript.pyannote[94].end 360.43034375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 360.29534375
transcript.pyannote[95].end 363.80534375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 363.88971875
transcript.pyannote[96].end 364.22721875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 364.44659375
transcript.pyannote[97].end 367.21409375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 367.77096875
transcript.pyannote[98].end 369.30659375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 370.63971875
transcript.pyannote[99].end 374.43659375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 374.38596875
transcript.pyannote[100].end 374.72346875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 374.52096875
transcript.pyannote[101].end 380.51159375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 381.03471875
transcript.pyannote[102].end 384.74721875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 385.01721875
transcript.pyannote[103].end 396.88034375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 386.97471875
transcript.pyannote[104].end 386.99159375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 397.13346875
transcript.pyannote[105].end 401.38596875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 401.72346875
transcript.pyannote[106].end 401.74034375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 401.74034375
transcript.pyannote[107].end 401.85846875
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 401.85846875
transcript.pyannote[108].end 401.94284375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 402.34784375
transcript.pyannote[109].end 405.08159375
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 403.37721875
transcript.pyannote[110].end 403.90034375
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 405.08159375
transcript.pyannote[111].end 414.26159375
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 414.64971875
transcript.pyannote[112].end 416.01659375
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 416.16846875
transcript.pyannote[113].end 428.03159375
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 428.45346875
transcript.pyannote[114].end 448.90596875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 447.97784375
transcript.pyannote[115].end 451.25159375
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 450.82971875
transcript.pyannote[116].end 451.75784375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 451.74096875
transcript.pyannote[117].end 451.79159375
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 451.79159375
transcript.pyannote[118].end 451.97721875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 451.97721875
transcript.pyannote[119].end 452.06159375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 452.06159375
transcript.pyannote[120].end 452.23034375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 452.23034375
transcript.pyannote[121].end 456.97221875
transcript.pyannote[122].speaker SPEAKER_05
transcript.pyannote[122].start 456.97221875
transcript.pyannote[122].end 457.02284375
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 457.02284375
transcript.pyannote[123].end 459.95909375
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 457.19159375
transcript.pyannote[124].end 459.35159375
transcript.pyannote[125].speaker SPEAKER_05
transcript.pyannote[125].start 459.67221875
transcript.pyannote[125].end 463.58721875
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 463.67159375
transcript.pyannote[126].end 465.89909375
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 463.72221875
transcript.pyannote[127].end 465.15659375
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 466.21971875
transcript.pyannote[128].end 467.72159375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 466.25346875
transcript.pyannote[129].end 467.53596875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 467.72159375
transcript.pyannote[130].end 467.73846875
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 467.73846875
transcript.pyannote[131].end 467.75534375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 467.75534375
transcript.pyannote[132].end 469.12221875
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 468.46409375
transcript.pyannote[133].end 482.63909375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 472.51409375
transcript.pyannote[134].end 473.17221875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 480.68159375
transcript.pyannote[135].end 483.93846875
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 483.36471875
transcript.pyannote[136].end 485.03534375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 485.03534375
transcript.pyannote[137].end 485.25471875
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 485.25471875
transcript.pyannote[138].end 485.28846875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 485.57534375
transcript.pyannote[139].end 490.58721875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 490.94159375
transcript.pyannote[140].end 494.02971875
transcript.pyannote[141].speaker SPEAKER_05
transcript.pyannote[141].start 491.90346875
transcript.pyannote[141].end 492.66284375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 492.66284375
transcript.pyannote[142].end 492.67971875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 494.56971875
transcript.pyannote[143].end 498.65346875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 499.12596875
transcript.pyannote[144].end 505.53846875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 505.53846875
transcript.pyannote[145].end 510.44909375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 510.17909375
transcript.pyannote[146].end 511.47846875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 511.69784375
transcript.pyannote[147].end 513.33471875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 513.36846875
transcript.pyannote[148].end 513.43596875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 513.43596875
transcript.pyannote[149].end 513.80721875
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 513.89159375
transcript.pyannote[150].end 517.13159375
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 517.13159375
transcript.pyannote[151].end 517.19909375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 518.49846875
transcript.pyannote[152].end 518.51534375
transcript.pyannote[153].speaker SPEAKER_04
transcript.pyannote[153].start 518.51534375
transcript.pyannote[153].end 522.75096875
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 522.02534375
transcript.pyannote[154].end 522.76784375
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 522.76784375
transcript.pyannote[155].end 523.03784375
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 523.03784375
transcript.pyannote[156].end 524.74221875
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 524.52284375
transcript.pyannote[157].end 524.70846875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 524.70846875
transcript.pyannote[158].end 524.75909375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 524.75909375
transcript.pyannote[159].end 524.79284375
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 524.75909375
transcript.pyannote[160].end 524.79284375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 524.79284375
transcript.pyannote[161].end 524.86034375
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 524.82659375
transcript.pyannote[162].end 524.87721875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 524.87721875
transcript.pyannote[163].end 524.91096875
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 524.91096875
transcript.pyannote[164].end 524.96159375
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 524.96159375
transcript.pyannote[165].end 525.68721875
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 526.49721875
transcript.pyannote[166].end 532.20096875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 532.20096875
transcript.pyannote[167].end 532.84221875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 532.45409375
transcript.pyannote[168].end 541.00971875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 538.25909375
transcript.pyannote[169].end 538.93409375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 541.00971875
transcript.pyannote[170].end 541.75221875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 541.80284375
transcript.pyannote[171].end 543.06846875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 543.35534375
transcript.pyannote[172].end 553.48034375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 551.08409375
transcript.pyannote[173].end 551.26971875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 553.86846875
transcript.pyannote[174].end 554.86409375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 553.98659375
transcript.pyannote[175].end 554.15534375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 554.88096875
transcript.pyannote[176].end 571.06409375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 569.37659375
transcript.pyannote[177].end 571.70534375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 572.12721875
transcript.pyannote[178].end 576.54846875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 572.86971875
transcript.pyannote[179].end 573.46034375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 575.46846875
transcript.pyannote[180].end 580.88534375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 577.30784375
transcript.pyannote[181].end 581.23971875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 581.67846875
transcript.pyannote[182].end 633.68721875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 592.98471875
transcript.pyannote[183].end 594.80721875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 595.39784375
transcript.pyannote[184].end 596.07284375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 596.37659375
transcript.pyannote[185].end 596.71409375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 602.60346875
transcript.pyannote[186].end 603.02534375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 606.33284375
transcript.pyannote[187].end 606.80534375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 607.53096875
transcript.pyannote[188].end 608.39159375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 608.39159375
transcript.pyannote[189].end 608.42534375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 617.52096875
transcript.pyannote[190].end 617.67284375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 619.25909375
transcript.pyannote[191].end 619.39409375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 623.27534375
transcript.pyannote[192].end 624.18659375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 629.75534375
transcript.pyannote[193].end 629.82284375
transcript.pyannote[194].speaker SPEAKER_05
transcript.pyannote[194].start 629.82284375
transcript.pyannote[194].end 630.07596875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 630.07596875
transcript.pyannote[195].end 630.10971875
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 631.02096875
transcript.pyannote[196].end 632.65784375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 632.65784375
transcript.pyannote[197].end 632.75909375
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 633.99096875
transcript.pyannote[198].end 635.10471875
transcript.whisperx[0].start 1.206
transcript.whisperx[0].end 26.832
transcript.whisperx[0].text 好 謝謝主席 麻煩主委待會有 待會好 主委謝謝這個待會問完真的千萬不要過來握手戰慾有加 好不好我先請教第一個問題我們當然好不容易拖了那麼久開始進入預算的審查所以第一個就叫一個預算項目
transcript.whisperx[1].start 28.452
transcript.whisperx[1].end 55.447
transcript.whisperx[1].text 我們在退伍府會的國際退伍軍人事務交流其實很重要退伍軍人交流像我們國軍將領跟日本的退役將領那個叫局媒會還是媒局會其實這是很好的外交上的一個互動那我看本席特別注意到你們在2025年編列的預算是474萬那交流的國家呢有你們那時候名列出來是五個國家啦
transcript.whisperx[2].start 56.462
transcript.whisperx[2].end 74.229
transcript.whisperx[2].text 那接下來到2026年也就是今年度國家你們在說明欄上面只剩下三個國家預算呢沒有減少還是474萬我第一個問題是請教主委我們確認是交流只剩這三個國家嗎
transcript.whisperx[3].start 76.458
transcript.whisperx[3].end 101.209
transcript.whisperx[3].text 跟委員報告這上面列的表是完全正確的我們今年為什麼做這個調整因為我們第一個是騎乘美國還是三大退協為主然後增加太平洋區的一個退伍軍組織太平洋區所以美國嚴格來講應該是算四趟每一趟的騎乘有不一樣有做調整人次也會增加那第一島鏈主要是菲律賓
transcript.whisperx[4].start 101.869
transcript.whisperx[4].end 122.052
transcript.whisperx[4].text 那個美國啦或者是日本啦菲律賓這個還有的我先不問啦因為少了兩個國家交流嘛第一個我能理解就是我們的預算年度坦白講我們就算預算通過這個年度大概已經過一半了啦就是很順利通過到五月份三讀通過到你們開始動枝呢
transcript.whisperx[5].start 122.873
transcript.whisperx[5].end 150.117
transcript.whisperx[5].text 我們財政年度過了一半結果預算的執行呢這時候才給你確實會有一些問題所以我的問題是說你的預算額度並沒有減少可是國家少了兩國為什麼泰國跟韓國被拿掉了出了什麼問題我們是太平洋地區以第一島鏈為主所以是以日本跟菲律賓為主然後跟委員報告的我們日本可能去了很多單位
transcript.whisperx[6].start 151.417
transcript.whisperx[6].end 175.74
transcript.whisperx[6].text 有增加 就這三國增加的量是是是但是你還是沒有告訴我韓國跟泰國原來有在交流尤其我們退府會我們在泰北那裡我們曾經有農場我們一個伯伯在那裡他過世的時候親王還為他這樣辦喜我們以前在泰北的農場做得還不錯啊那為什麼現在泰國跟韓國被拿掉了我還是沒有聽到答案我不到處長給您報告
transcript.whisperx[7].start 176.841
transcript.whisperx[7].end 196.158
transcript.whisperx[7].text 委員好,我是輔照處處長,因為我們今年以這個預算我們還是把它重點是放在這個美國三大退協跟日本跟菲律賓,那有關這個到菲律賓跟到泰國的價錢費用差沒有那麼多啦,那坦白講如果有必要474萬變520萬
transcript.whisperx[8].start 199.181
transcript.whisperx[8].end 220.159
transcript.whisperx[8].text 都可以接受你還是沒有回答我泰國跟韓國出什麼問題不能講不方便講我就尊重那裡有沒有什麼事情我們下去以後再檢討今年的預算因為去年後來你們預算我沒有意見我現在是在想項目韓國有沒有展示互動上的不便或不友善沒有泰國呢
transcript.whisperx[9].start 223.246
transcript.whisperx[9].end 239.554
transcript.whisperx[9].text 報委我們下去再跟您報告好了那就是不便講嘛是是是因為你們繞來繞去我就不再講你們額度問題因為那兩個國家被擺明的拿掉泰國我們的我們是有農場在那裡嗎農場現在我們還有沒有工作跟我們交流的農場有交流的農場嗎
transcript.whisperx[10].start 240.953
transcript.whisperx[10].end 257.872
transcript.whisperx[10].text 然後我們以前太北孤軍其實我們以前有一些人在那裡後代當然那邊啊 時代變遷等等所以泰國被拿掉 韓國被拿掉應該是有故事啦那你們不方便講我就不為難主委了啦會後會後對啊 我也為難你 待會不跟我握手
transcript.whisperx[11].start 259.955
transcript.whisperx[11].end 274.515
transcript.whisperx[11].text 好我們下一個下一個是我曾經質詢我現在要追蹤這個事情這跟北榮就有關係了謝謝北榮我們重粒子的癌症治療在精準醫療跟化療的最後一塊拼圖在醫療界這是很重要的
transcript.whisperx[12].start 275.276
transcript.whisperx[12].end 302.381
transcript.whisperx[12].text 很多人把這視為不幸罹患癌症最後特殊那幾種癌症救命的一個方式所以它很貴一個療程可能就幾百萬它非常貴所以幾乎都是自費那我上次問的重點有兩個第一個因為它貴可是花人民納稅的人建制我印象北榮這個重粒子癌症治療中心是全球第14座嘛所以它是世界上它也有稀有性但我們很不希望
transcript.whisperx[13].start 303.632
transcript.whisperx[13].end 309.267
transcript.whisperx[13].text 像我父親是癌症過世的那我們家境不好但我們不希望在治療癌症
transcript.whisperx[14].start 310.572
transcript.whisperx[14].end 336.891
transcript.whisperx[14].text 成為財富變成生命的分界點 懂我意思嗎就不能因為沒錢我就醫不起我有錢我就能醫得起 這個不好所以當時我看到你們安排是有2%的醫療量能要讓這些低收的減免我那時候提出來2%實在太少了我們建置這一個重粒子治療中心都是人民的納稅錢
transcript.whisperx[15].start 339.601
transcript.whisperx[15].end 362.93
transcript.whisperx[15].text 變成你們的基金變成什麼但總是供款所以2%太少了我一直希望能夠增加對於一些收入沒那麼富裕甚至不用完全減免對於一般所得的有一些折扣對於中低收入的給予減免那我們也希望中低收入或一般所得的永遠健康用不到最好但他要用到的時候我們有一定的百分比那你這2%
transcript.whisperx[16].start 364.813
transcript.whisperx[16].end 369.072
transcript.whisperx[16].text 適度來增加這第一個命題第二個命題是我們的農民農卷
transcript.whisperx[17].start 371.08
transcript.whisperx[17].end 396.55
transcript.whisperx[17].text 應該要另外你現在這2%的減免是把榮民農券放在裡面所以那個院長應該印象我上次有問這一題就榮民農券是我們退福會照顧的對象萬一需要的時候他應該有一個項目的減免就幾百萬的是一般自費但對榮民農券我雖然不是中低收入戶可是我一般所得坦白講要拿幾百萬去做中立子也不一定負擔得起所以榮民農券的減免優惠要一套
transcript.whisperx[18].start 397.25
transcript.whisperx[18].end 401.127
transcript.whisperx[18].text 然後對於一般納稅人 一般民眾的減免有另外一套
transcript.whisperx[19].start 402.403
transcript.whisperx[19].end 429.818
transcript.whisperx[19].text 你們現在經過快一年了,你們歸號怎麼樣?報告委員,讓我報告一下先說明這個費用是從幾十萬到一百,最貴的只有一百六十萬那它的...它是一個完整療程?一個完整療程,最多就一百六十萬,看疾病的類別不一樣那比方去年一年呢,它的收入是三億五千萬左右但營運成本是五億,一年平均要虧一點五億
transcript.whisperx[20].start 430.538
transcript.whisperx[20].end 456.392
transcript.whisperx[20].text 那這個建制22.5億是來自民間的幫忙企業界的幫忙剩下22.5億是來自榮總醫療作為基金那這個呢我們已經很努力縱使以後三班24小時運轉一年至少還在賠1億那但是我們收費其實是每一個治療都是在賠錢其實我們在醫療上很少用賠錢來計算就是生命是無價的啦但是呢如果要算的話健保也在虧嘛
transcript.whisperx[21].start 457.652
transcript.whisperx[21].end 484.042
transcript.whisperx[21].text 醫療我比較不期待用這樣來算我們用其他科部的稍微一點英語來補貼這個事情這個方案有沒有新的做法針對農民農卷 針對一般民農卷報告委員現在2% 現在還有8個名額我們過去用了5個 5個有一個是農民那這個是中立子不是每一個人都需要我們很多人要求中立子我們評估這個健保就夠了他針對的癌症別有差異嗎專門的癌症別
transcript.whisperx[22].start 485.643
transcript.whisperx[22].end 504.657
transcript.whisperx[22].text 那不要用大砲打小鳥OK我建議我們北榮或者我們退府會多宣導既然你說名額還沒用完我們希望每個人健康可是當他需要的時候有這個優惠的名額讓他那等到用到不足我們再來討論增加那我們南部有沒有計畫來增設一座
transcript.whisperx[23].start 505.778
transcript.whisperx[23].end 525.187
transcript.whisperx[23].text 如果有醫院願意加入做功德賠錢行列我都很歡迎醫院都在做功德啦所以醫院都是免稅的對不對我們高榮要不要設一座高榮跟文報現在有一個粒子治療設備的一個平均小組你現在看這個醫療資源分配北榮有
transcript.whisperx[24].start 526.57
transcript.whisperx[24].end 539.445
transcript.whisperx[24].text 那中國醫藥大學輻射醫院他要設一座花蓮慈濟也要設幾座他們有計畫啦可能機器還沒有買啦看到我們賠很多他們在考慮沒關係我會到衛房委員會去問那我意思是說南部連計畫設置都沒有
transcript.whisperx[25].start 541.887
transcript.whisperx[25].end 568.445
transcript.whisperx[25].text 那醫療資源不應該有城鄉差距啦我們高榮要不要爭取在南部設置一座否則我知道有一些人舟車勞頓那用到重粒子其實都已經蠻辛苦的高榮有沒有計畫謝謝 報告委員謝謝委員的一個指導從委員去年那個時候諮詢的時候我們醫院裡面在這半年當中大概開過12次會開始很努力在評估那目前4月份的話會把我們粒子的治療會把評估報告開始送到輔導會
transcript.whisperx[26].start 573.208
transcript.whisperx[26].end 591.9
transcript.whisperx[26].text 現在因為他要衛福部的一個平和啦我上次質詢是10月8號問的嘛我們現在提出來那也許我們退輔會或者衛福部大家思考南部要不要設一個那特別高榮的部分你們直升機降落的困難點
transcript.whisperx[27].start 594.342
transcript.whisperx[27].end 608.648
transcript.whisperx[27].text 當時院長跟總統有交代我覺得那邊要否則澎湖啊離外島要用直升機後送就已經緊急了結果還要停小港機場再偶爾從小港到高融然後那個高速公路那邊都在塞車不理想你們旁邊那個要設置停機坪
transcript.whisperx[28].start 609.588
transcript.whisperx[28].end 630.066
transcript.whisperx[28].text 或者樓頂加鋼構增加停機的可能性你們方案趕快提出來因為院長當時我在現場嘛院長是認為應該要做你們不只是服務高雄連澎湖的後送都是你們這裡所以這個後送的停機坪附近有一塊軍區的地或者你們的屋頂你盡快把方案提出來趁院長這個承諾還在有在規劃有在規劃謝偉