iVOD / 163510

Field Value
IVOD_ID 163510
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163510
日期 2025-08-14
會議資料.會議代碼 委員會-11-3-26-24
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24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 24
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24次全體委員會議
影片種類 Clip
開始時間 2025-08-14T12:07:39+08:00
結束時間 2025-08-14T12:18:30+08:00
影片長度 00:10:51
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3ced7f9f61571ec9219e370b1eb86031bce7d2d90249eb2fc234c49c8e9603460c38360a1b553cc65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 12:07:39 - 12:18:30
會議時間 2025-08-14T09:00:00+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24次全體委員會議(事由:邀請衛生福利部、經濟部、財政部就「美國針對進口藥品、原料藥課稅對我國產業造成影響」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 9.97034375
transcript.pyannote[0].end 12.01221875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 16.95659375
transcript.pyannote[1].end 89.04659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 52.59659375
transcript.pyannote[2].end 52.63034375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 52.63034375
transcript.pyannote[3].end 53.30534375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 63.41346875
transcript.pyannote[4].end 63.81846875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 89.43471875
transcript.pyannote[5].end 96.57284375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 95.88096875
transcript.pyannote[6].end 96.10034375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 96.80909375
transcript.pyannote[7].end 98.59784375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 98.71596875
transcript.pyannote[8].end 106.12409375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 106.24221875
transcript.pyannote[9].end 107.45721875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 107.45721875
transcript.pyannote[10].end 107.50784375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 107.50784375
transcript.pyannote[11].end 125.39534375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 126.12096875
transcript.pyannote[12].end 129.81659375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 130.23846875
transcript.pyannote[13].end 142.35471875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 133.88346875
transcript.pyannote[14].end 133.98471875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 133.98471875
transcript.pyannote[15].end 134.01846875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 134.01846875
transcript.pyannote[16].end 134.03534375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 134.03534375
transcript.pyannote[17].end 134.05221875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 139.55346875
transcript.pyannote[18].end 139.94159375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 142.35471875
transcript.pyannote[19].end 161.28846875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 143.58659375
transcript.pyannote[20].end 143.65409375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 147.80534375
transcript.pyannote[21].end 148.09221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 148.09221875
transcript.pyannote[22].end 148.10909375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 161.28846875
transcript.pyannote[23].end 173.82659375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 161.30534375
transcript.pyannote[24].end 161.71034375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 163.58346875
transcript.pyannote[25].end 164.03909375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 167.46471875
transcript.pyannote[26].end 167.78534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 171.44721875
transcript.pyannote[27].end 173.77596875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 173.82659375
transcript.pyannote[28].end 187.96784375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 184.23846875
transcript.pyannote[29].end 184.55909375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 186.68534375
transcript.pyannote[30].end 186.97221875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 187.96784375
transcript.pyannote[31].end 205.21409375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 205.65284375
transcript.pyannote[32].end 218.03909375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 218.03909375
transcript.pyannote[33].end 218.10659375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 218.10659375
transcript.pyannote[34].end 285.53909375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 231.58971875
transcript.pyannote[35].end 231.67409375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 282.63659375
transcript.pyannote[36].end 282.92346875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 285.97784375
transcript.pyannote[37].end 288.47534375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 288.47534375
transcript.pyannote[38].end 299.46096875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 288.72846875
transcript.pyannote[39].end 289.30221875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 291.17534375
transcript.pyannote[40].end 291.46221875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 293.48721875
transcript.pyannote[41].end 293.90909375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 295.73159375
transcript.pyannote[42].end 297.03096875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 297.03096875
transcript.pyannote[43].end 297.65534375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 297.65534375
transcript.pyannote[44].end 298.02659375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 298.02659375
transcript.pyannote[45].end 299.14034375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 299.27534375
transcript.pyannote[46].end 299.32596875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 299.46096875
transcript.pyannote[47].end 299.47784375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 299.73096875
transcript.pyannote[48].end 314.83409375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 315.22221875
transcript.pyannote[49].end 317.16284375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 317.65221875
transcript.pyannote[50].end 321.73596875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 322.12409375
transcript.pyannote[51].end 325.14471875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 325.39784375
transcript.pyannote[52].end 332.85659375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 333.39659375
transcript.pyannote[53].end 349.44471875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 350.01846875
transcript.pyannote[54].end 355.80659375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 356.24534375
transcript.pyannote[55].end 359.56971875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 357.89909375
transcript.pyannote[56].end 366.69096875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 362.64096875
transcript.pyannote[57].end 363.21471875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 367.02846875
transcript.pyannote[58].end 373.57596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 373.57596875
transcript.pyannote[59].end 373.86284375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 373.86284375
transcript.pyannote[60].end 384.03846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 382.73909375
transcript.pyannote[61].end 383.14409375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 384.03846875
transcript.pyannote[62].end 390.24846875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 384.37596875
transcript.pyannote[63].end 384.73034375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 390.51846875
transcript.pyannote[64].end 394.06221875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 391.61534375
transcript.pyannote[65].end 414.71721875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 396.72846875
transcript.pyannote[66].end 397.15034375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 398.02784375
transcript.pyannote[67].end 399.15846875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 414.71721875
transcript.pyannote[68].end 415.40909375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 415.40909375
transcript.pyannote[69].end 415.42596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 415.42596875
transcript.pyannote[70].end 423.69471875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 415.44284375
transcript.pyannote[71].end 415.89846875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 418.49721875
transcript.pyannote[72].end 418.69971875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 420.91034375
transcript.pyannote[73].end 421.46721875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 422.02409375
transcript.pyannote[74].end 432.03096875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 430.57971875
transcript.pyannote[75].end 430.63034375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 430.84971875
transcript.pyannote[76].end 431.03534375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 432.79034375
transcript.pyannote[77].end 452.24721875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 452.34846875
transcript.pyannote[78].end 456.61784375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 457.19159375
transcript.pyannote[79].end 461.78159375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 462.42284375
transcript.pyannote[80].end 484.73159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 481.96409375
transcript.pyannote[81].end 482.26784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 482.58846875
transcript.pyannote[82].end 482.89221875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 485.44034375
transcript.pyannote[83].end 493.38846875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 493.62471875
transcript.pyannote[84].end 494.31659375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 495.56534375
transcript.pyannote[85].end 496.81409375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 497.26971875
transcript.pyannote[86].end 499.85159375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 500.30721875
transcript.pyannote[87].end 503.54721875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 500.62784375
transcript.pyannote[88].end 500.96534375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 501.03284375
transcript.pyannote[89].end 501.28596875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 503.54721875
transcript.pyannote[90].end 503.85096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 503.85096875
transcript.pyannote[91].end 506.02784375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 506.33159375
transcript.pyannote[92].end 507.96846875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 507.17534375
transcript.pyannote[93].end 513.57096875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 512.33909375
transcript.pyannote[94].end 517.28346875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 514.33034375
transcript.pyannote[95].end 525.95721875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 521.36721875
transcript.pyannote[96].end 521.78909375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 526.19346875
transcript.pyannote[97].end 527.76284375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 528.06659375
transcript.pyannote[98].end 548.72159375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 536.28471875
transcript.pyannote[99].end 537.61784375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 549.32909375
transcript.pyannote[100].end 572.70096875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 551.67471875
transcript.pyannote[101].end 552.02909375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 552.02909375
transcript.pyannote[102].end 552.24846875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 552.24846875
transcript.pyannote[103].end 552.38346875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 552.38346875
transcript.pyannote[104].end 553.48034375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 573.03846875
transcript.pyannote[105].end 575.08034375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 575.08034375
transcript.pyannote[106].end 575.11409375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 575.38409375
transcript.pyannote[107].end 575.68784375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 575.68784375
transcript.pyannote[108].end 575.70471875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 576.17721875
transcript.pyannote[109].end 579.80534375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 579.58596875
transcript.pyannote[110].end 579.61971875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 579.61971875
transcript.pyannote[111].end 579.73784375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 579.80534375
transcript.pyannote[112].end 580.85159375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 581.76284375
transcript.pyannote[113].end 592.44471875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 584.86784375
transcript.pyannote[114].end 586.18409375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 592.88346875
transcript.pyannote[115].end 593.44034375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 593.03534375
transcript.pyannote[116].end 593.06909375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 593.44034375
transcript.pyannote[117].end 593.49096875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 593.49096875
transcript.pyannote[118].end 593.87909375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 593.50784375
transcript.pyannote[119].end 593.86221875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 593.87909375
transcript.pyannote[120].end 601.89471875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 596.03909375
transcript.pyannote[121].end 596.30909375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 600.67971875
transcript.pyannote[122].end 606.24846875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 603.46409375
transcript.pyannote[123].end 604.27409375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 606.88971875
transcript.pyannote[124].end 613.55534375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 613.74096875
transcript.pyannote[125].end 640.70721875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 614.38221875
transcript.pyannote[126].end 614.68596875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 618.06096875
transcript.pyannote[127].end 621.21659375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 621.31784375
transcript.pyannote[128].end 621.33471875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 621.40221875
transcript.pyannote[129].end 621.82409375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 625.73909375
transcript.pyannote[130].end 626.48159375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 629.51909375
transcript.pyannote[131].end 629.67096875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 631.08846875
transcript.pyannote[132].end 633.63659375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 635.13846875
transcript.pyannote[133].end 635.44221875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 640.11659375
transcript.pyannote[134].end 650.93346875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 644.30159375
transcript.pyannote[135].end 644.70659375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 647.45721875
transcript.pyannote[136].end 647.76096875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 649.41471875
transcript.pyannote[137].end 650.64659375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 650.68034375
transcript.pyannote[138].end 650.76471875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 650.84909375
transcript.pyannote[139].end 650.89971875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 650.93346875
transcript.pyannote[140].end 651.25409375
transcript.whisperx[0].start 10.18
transcript.whisperx[0].end 37.065
transcript.whisperx[0].text 馬上請到那個部長 衛福部長 謝謝委員好那個部長好我相信今天召委排這個專題報告應該就是大家很擔心缺藥的問題嘛特別是美國關稅之後對缺藥問題會不會特別嚴重那我看部長你回答媒體的訪問好像信心滿滿啊所以已經下令要求什麼自計的存量要三個月然後又提出四大策略
transcript.whisperx[1].start 38.005
transcript.whisperx[1].end 53.461
transcript.whisperx[1].text 譬如說什麼要強化供應的預警啊什麼要價合理等等四大策略感覺上好像胸有成竹可是其實部長我不知道到底有沒有掌握到實際狀況其實我應該上個月也有在委員會有跟你提有跟你提過在我們
transcript.whisperx[2].start 54.302
transcript.whisperx[2].end 78.448
transcript.whisperx[2].text 地方很多病患他們要拿那個處方簽的藥實際上都要跑遍很多藥局那時候舉的是眼藥的例子最近短效胰島素也非常的缺很多病患他是在醫院看病然後拿著處方簽跑遍藥局都買不到短效胰島素最後還是要跑到大醫院
transcript.whisperx[3].start 79.068
transcript.whisperx[3].end 105.435
transcript.whisperx[3].text 我覺得這你就失去當時讓大家可以就近到社區藥局領藥的這種便利性現在很多藥已經沒有辦法達到這樣的效果那所以您的您很有信心我當然是我們也是希望您的信心是真的可以化為實際但是實際上狀況就不是這樣而且我不曉得部長你有沒有掌握現在有非常多的大的藥廠都發出缺藥通知你知道這個事嗎
transcript.whisperx[4].start 106.295
transcript.whisperx[4].end 125.118
transcript.whisperx[4].text 我這邊手上就有一堆資料譬如說我們紓壓痰點演藝啊公司就說因廠商停止供應預計115年停止供應然後一大堆很多人都是說因為原物料短缺造成的結果那這個部分到底
transcript.whisperx[5].start 126.192
transcript.whisperx[5].end 142.198
transcript.whisperx[5].text 部長您有沒有真的去了解問題提出一個比較明確的解決的問題因為這沒有什麼政治性議題這就是一般民生大家要用藥我覺得不要粉飾台針對問題解決問題部長您的解決方式到底是什麼
transcript.whisperx[6].start 142.398
transcript.whisperx[6].end 159.02
transcript.whisperx[6].text 好 謝謝委員我想謝謝委員關心我們特別是新北市的一個醫藥方面的一個提供新北市的醫藥方面的團體我們都很熟所以大概也都知道他們運作的狀況這是長久的問題
transcript.whisperx[7].start 160.121
transcript.whisperx[7].end 186.476
transcript.whisperx[7].text 在有些藥 不懂我相信這應該不會只是新北市的狀況因為他的藥來源都是藥商那藥商不可能說北部藥商有這樣的問題然後南部沒這樣的問題 我不相信我覺得應該就是全國的問題是的 所以我兩個部分一個是說一直這幾年來一直發生我們一直在解決讓醫 譬如說處方先拿的能夠順暢的拿這個部分怎麼樣去 這也是有些
transcript.whisperx[8].start 188.717
transcript.whisperx[8].end 204.886
transcript.whisperx[8].text 應該是這樣 藥變少這是事實就是藥商供應的量變小這是事實不管他是原物料缺少還是說因為藥價關係他不願意投入太多在台灣這個是事實但現在出現還有一個分配的問題就是說最後他到醫院都拿得到但他藥局就是沒有
transcript.whisperx[9].start 205.746
transcript.whisperx[9].end 231.329
transcript.whisperx[9].text 所以我覺得分配問題你應該也可以去針對這個部分去思考一下你醫院有時候一大堆也不見得大家集資去領嘛可是藥局就沒有那怎麼去調配那個量讓醫院也不要沒有但是讓他有充足的情況之下有比較多餘的可以進入到社區藥局便利我們民眾去領嘛這個不是不能解決第二個是缺藥平台啦因為上次我也有跟你提過
transcript.whisperx[10].start 232.15
transcript.whisperx[10].end 258.697
transcript.whisperx[10].text 你們都會講說只要有缺藥就可以到缺藥平台去反映可是藥局的心聲就是反映的沒用反映的沒用所以到最後當他覺得這個東西反映沒用之後就不會再去反映了就是這樣就覺得反正也沒有意義所以最後你們這邊的得到訊息就會誤解成說都沒有人來反映都沒有人反映所以一定沒缺藥可是實際上人家是因為反映的沒用所以沒去反映
transcript.whisperx[11].start 259.477
transcript.whisperx[11].end 285.027
transcript.whisperx[11].text 所以我真的覺得這個衛福部官員跟基層有很大的落差我真的強烈建議因為部長你也是醫師出身嘛您在其實我了解您在那個醫師團體聲望很高啦很多醫生對你很肯定你其實可以多多問看他們的意見不管是醫師團體或是藥師團體一樣到底我講的是不是事實還是你了解的是事實
transcript.whisperx[12].start 285.947
transcript.whisperx[12].end 303.359
transcript.whisperx[12].text 因為我們兩個的了解有落差沒有 我委員所講的的確是有這種現象那我們一直在改善那要怎麼改善嘛因為這個問題拖很久了江組長來跟議員這邊進一步報告剛才提到的
transcript.whisperx[13].start 304.74
transcript.whisperx[13].end 331.915
transcript.whisperx[13].text 我非常非常肯定我也知道是現實那我要說明的事情台灣的整個市場小所以我們在藥物舉個例子胰島素這件事情那胰島素面臨的是全世界第一名製廠占比的叫諾和諾的一家它的短效的胰島素等等還有其他的那因為短效胰島素人類胰島素特殊性上面它必須用在關鍵的一般民眾的胰島素
transcript.whisperx[14].start 333.476
transcript.whisperx[14].end 355.354
transcript.whisperx[14].text 常平時的狀況之下其實是可以替代的可是有些關鍵的地方就需求特別嚴重要進入交互病房裡面昏迷的糖尿病的病患跟酮酸中毒他就必須要用這種的所以我們在做的這樣的情形之下我們要讓最關鍵的人能夠用得到所以我們做的必須要做控制跟控藥
transcript.whisperx[15].start 356.314
transcript.whisperx[15].end 371.126
transcript.whisperx[15].text 那這個東西在社區一般民眾我今天你會講很長我知道啦其實我的問題很簡單就是我的問題非常簡單你讓需要的人能夠在社區拿到藥那就是這樣該不該做 該嘛
transcript.whisperx[16].start 374.468
transcript.whisperx[16].end 389.862
transcript.whisperx[16].text 那該嘛 那問題出在哪裡你要把問題找到嘛而不是講一大堆這個藥是怎麼樣要控制說那問題是你就沒有讓人家拿到藥啊謝謝委員這邊委員報告的地方是我們在處方的行為上會決定他拿得到拿不到
transcript.whisperx[17].start 390.603
transcript.whisperx[17].end 411.138
transcript.whisperx[17].text 所以我們跟整個醫學會上面我反應的是說處方的行為希望他拿得到的部分他還是拿不到比如說眼藥水嘛應該他不是什麼你剛剛講的他要控制要讓特殊的人才能拿到應該不是這個情況但是現在很多病患他跑藥局要去拿眼藥水也拿不到啊
transcript.whisperx[18].start 411.838
transcript.whisperx[18].end 430.68
transcript.whisperx[18].text 就是你要普遍性的去解決這個缺藥的問題嘛了解我們這個部分一個是真的是缺嘛一個是所謂的平衡的部分能夠讓他的供應鏈能夠穩定這兩部分我們持續在努力如果說我們在這邊一直反映基層的心聲然後你一直講一堆理由我相信這問題沒有辦法解決你應該是說
transcript.whisperx[19].start 433.262
transcript.whisperx[19].end 461.668
transcript.whisperx[19].text 確實我們應該要讓民眾如果他這個藥是應該在藥局拿得到他就應該要拿得到不過不要因為缺藥的問題讓他拿不到你們是要去解決這件事情然後去跟藥局做一個加強聯繫譬如說你現在的聯繫方式是缺藥平台但缺藥平台現在已經失靈了那怎麼樣再重新讓這些藥局對缺藥平台產生信心用什麼方式讓他覺得說我今天跟政府反映事情是有用的
transcript.whisperx[20].start 462.452
transcript.whisperx[20].end 484.457
transcript.whisperx[20].text 你現在要建立起政府對於民眾或者是藥局的信心我們現在反映的是這個事情而不是針對署長剛剛提到特定一個藥到底它是為什麼我們要平衡當然那個也是其中之一但是大的方向是你要解決我剛剛講的那兩件事這個我們深刻了解我們會記得因為這個同樣的問題一直在反映
transcript.whisperx[21].start 485.492
transcript.whisperx[21].end 514.021
transcript.whisperx[21].text 我上次好像有請部長這邊說是不是你說你說會檢討嗎然後說會給我們一個檢討的一個說明嗎我不知道你有做嗎好不然的話同樣的問題就是每次一直在問啊然後然後每次我講的我都覺得部長你很認同啊但是認同都沒有行動啊那總是要行動我們有認同也一直在想要解決所以這個必須要跟這有急迫性啊部長這不是
transcript.whisperx[22].start 516.642
transcript.whisperx[22].end 536.828
transcript.whisperx[22].text 藥界有它的文化啦又大的藥局又連鎖藥局又小藥局這個強度有時候他們拿到的貨的確可能的確這個不管是一的這個專業配合藥的一個分佈我們的確要坐下來來溝通看看那要多久
transcript.whisperx[23].start 538.849
transcript.whisperx[23].end 556.786
transcript.whisperx[23].text 國際間我們當然爭取藥進來讓他不要缺藥這也是很重要不要缺藥裡面再來就分配分配的讓他社區的民眾能夠順暢這是一定要做的事情但是這個就是可能又有點變成一種
transcript.whisperx[24].start 558.187
transcript.whisperx[24].end 570.478
transcript.whisperx[24].text 一種比較business的一個因素在裡面但是為了社區民眾的一個拿藥的方便我想我們會出來來介入來協調
transcript.whisperx[25].start 576.242
transcript.whisperx[25].end 592.017
transcript.whisperx[25].text 我們就這個部分我們積極辦理跟委員這邊做報告什麼時候再來問你嘛什麼時候會有一個初步的一個構想出來或者是一個做法因為今天的戰略都比較比較高大上很崇高啦但那個戰略
transcript.whisperx[26].start 593.458
transcript.whisperx[26].end 601.642
transcript.whisperx[26].text 跟實際落差很大跟委員報告一下其實我們想的我們組長整組其實都已經因為我剛剛的問題都已經講完了啦我現在只要一個期程就是什麼時候
transcript.whisperx[27].start 608.37
transcript.whisperx[27].end 631.558
transcript.whisperx[27].text 大概我大概什麼時候再來問你你可以有一個比較具體的解決的方案跟委員報告他牽涉後續的後面那一段是講很實情的問題都很了解不要再拖時間了要以數個月到半年以上來計才有辦法數個月調控的有點需要有一些時間因為他牽涉到全球不是做法啦什麼時候
transcript.whisperx[28].start 631.978
transcript.whisperx[28].end 650.192
transcript.whisperx[28].text 做法應該回去就可以拿出來了我們已經都已經有做法跟想法了沒有問題這個我們跟委員們做進一步我們的規劃的報告我想我們一個月內把做法跟委員報告那三個月會提出一個更積極的一個進行的程度這樣OK 好 謝謝