iVOD / 168813

Field Value
IVOD_ID 168813
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168813
日期 2026-04-23
會議資料.會議代碼 委員會-11-5-26-7
會議資料.會議代碼:str 第11屆第5會期社會福利及衛生環境委員會第7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 7
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第5會期社會福利及衛生環境委員會第7次全體委員會議
影片種類 Clip
開始時間 2026-04-23T11:43:19+08:00
結束時間 2026-04-23T11:49:59+08:00
影片長度 00:06:40
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a0a6b12795be5442e5cf1a8fa999682a6e07bf52eec0dd4908965b28c46199cc7c3c93a5258e3a4e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 11:43:19 - 11:49:59
會議時間 2026-04-23T09:00:00+08:00
會議名稱 立法院第11屆第5會期社會福利及衛生環境委員會第7次全體委員會議(事由:邀請衛生福利部部長、教育部、法務部就「脆弱家庭兒少支持服務及兒少保護個案處遇之跨體系協作與銜接機制檢討」進行專題報告,並備質詢。 【4月22日及23日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 5.59971875
transcript.pyannote[0].end 5.92034375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.69596875
transcript.pyannote[1].end 12.82221875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 13.29471875
transcript.pyannote[2].end 16.26471875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 19.06596875
transcript.pyannote[3].end 19.18409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 19.57221875
transcript.pyannote[4].end 20.24721875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 20.68596875
transcript.pyannote[5].end 21.54659375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 21.95159375
transcript.pyannote[6].end 26.27159375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 26.62596875
transcript.pyannote[7].end 28.17846875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 28.17846875
transcript.pyannote[8].end 28.49909375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 28.80284375
transcript.pyannote[9].end 32.86971875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 33.62909375
transcript.pyannote[10].end 35.14784375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 35.73846875
transcript.pyannote[11].end 38.87721875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 39.21471875
transcript.pyannote[12].end 39.63659375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 39.75471875
transcript.pyannote[13].end 50.79096875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 50.79096875
transcript.pyannote[14].end 51.39846875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 51.44909375
transcript.pyannote[15].end 52.88346875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 53.08596875
transcript.pyannote[16].end 57.38909375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 57.67596875
transcript.pyannote[17].end 60.86534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 61.08471875
transcript.pyannote[18].end 62.90721875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 63.53159375
transcript.pyannote[19].end 64.78034375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 65.13471875
transcript.pyannote[20].end 65.82659375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 66.19784375
transcript.pyannote[21].end 66.58596875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 66.90659375
transcript.pyannote[22].end 68.30721875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 69.13409375
transcript.pyannote[23].end 87.62909375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 87.94971875
transcript.pyannote[24].end 145.44284375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 101.51721875
transcript.pyannote[25].end 102.27659375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 104.57159375
transcript.pyannote[26].end 106.24221875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 107.25471875
transcript.pyannote[27].end 107.30534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 114.94971875
transcript.pyannote[28].end 116.35034375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 125.96909375
transcript.pyannote[29].end 126.77909375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 130.71096875
transcript.pyannote[30].end 130.96409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 133.84971875
transcript.pyannote[31].end 134.37284375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 145.72971875
transcript.pyannote[32].end 151.83846875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 150.94409375
transcript.pyannote[33].end 160.17471875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 152.66534375
transcript.pyannote[34].end 153.20534375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 160.83284375
transcript.pyannote[35].end 161.03534375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 161.03534375
transcript.pyannote[36].end 161.15346875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 161.15346875
transcript.pyannote[37].end 161.17034375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 161.22096875
transcript.pyannote[38].end 161.35596875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 161.35596875
transcript.pyannote[39].end 163.48221875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 162.77346875
transcript.pyannote[40].end 163.09409375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 164.24159375
transcript.pyannote[41].end 168.37596875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 164.46096875
transcript.pyannote[42].end 164.84909375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 164.96721875
transcript.pyannote[43].end 164.98409375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 165.06846875
transcript.pyannote[44].end 165.20346875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 168.84846875
transcript.pyannote[45].end 170.33346875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 171.02534375
transcript.pyannote[46].end 172.64534375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 172.64534375
transcript.pyannote[47].end 177.03284375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 177.25221875
transcript.pyannote[48].end 179.88471875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 180.20534375
transcript.pyannote[49].end 182.50034375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 182.68596875
transcript.pyannote[50].end 183.41159375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 183.90096875
transcript.pyannote[51].end 185.38596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 186.24659375
transcript.pyannote[52].end 186.95534375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 187.59659375
transcript.pyannote[53].end 206.42909375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 206.98596875
transcript.pyannote[54].end 226.20659375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 226.88159375
transcript.pyannote[55].end 227.28659375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 228.21471875
transcript.pyannote[56].end 229.12596875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 229.66596875
transcript.pyannote[57].end 230.47596875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 232.80471875
transcript.pyannote[58].end 232.85534375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 233.26034375
transcript.pyannote[59].end 236.50034375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 234.93096875
transcript.pyannote[60].end 234.99846875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 234.99846875
transcript.pyannote[61].end 236.34846875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 237.05721875
transcript.pyannote[62].end 238.35659375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 239.09909375
transcript.pyannote[63].end 254.11784375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 252.58221875
transcript.pyannote[64].end 254.26971875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 254.80971875
transcript.pyannote[65].end 254.94471875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 255.60284375
transcript.pyannote[66].end 258.47159375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 256.09221875
transcript.pyannote[67].end 269.18721875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 268.41096875
transcript.pyannote[68].end 269.84534375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 269.84534375
transcript.pyannote[69].end 269.86221875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 271.12784375
transcript.pyannote[70].end 287.32784375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 273.67596875
transcript.pyannote[71].end 275.41409375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 279.81846875
transcript.pyannote[72].end 279.93659375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 279.93659375
transcript.pyannote[73].end 280.69596875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 287.32784375
transcript.pyannote[74].end 294.78659375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 294.97221875
transcript.pyannote[75].end 300.35534375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 296.50784375
transcript.pyannote[76].end 296.96346875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 301.11471875
transcript.pyannote[77].end 304.67534375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 302.70096875
transcript.pyannote[78].end 322.02284375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 306.59909375
transcript.pyannote[79].end 306.91971875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 307.22346875
transcript.pyannote[80].end 307.59471875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 308.32034375
transcript.pyannote[81].end 308.53971875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 322.37721875
transcript.pyannote[82].end 332.80596875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 328.57034375
transcript.pyannote[83].end 329.70096875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 333.48096875
transcript.pyannote[84].end 336.97409375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 336.97409375
transcript.pyannote[85].end 337.19346875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 338.34096875
transcript.pyannote[86].end 338.35784375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 338.35784375
transcript.pyannote[87].end 338.54346875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 339.45471875
transcript.pyannote[88].end 355.63784375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 355.58721875
transcript.pyannote[89].end 355.60409375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 355.63784375
transcript.pyannote[90].end 356.70096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 355.78971875
transcript.pyannote[91].end 356.68409375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 356.70096875
transcript.pyannote[92].end 357.20721875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 357.20721875
transcript.pyannote[93].end 357.27471875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 357.27471875
transcript.pyannote[94].end 357.39284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 357.39284375
transcript.pyannote[95].end 357.40971875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 357.40971875
transcript.pyannote[96].end 385.60784375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 386.16471875
transcript.pyannote[97].end 391.96971875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 390.41721875
transcript.pyannote[98].end 392.89784375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 392.89784375
transcript.pyannote[99].end 392.93159375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 392.99909375
transcript.pyannote[100].end 396.72846875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 396.93096875
transcript.pyannote[101].end 401.97659375
transcript.whisperx[0].start 11.175
transcript.whisperx[0].end 15.984
transcript.whisperx[0].text 謝謝主席以及各位先進有請外務部的史部長有請史部長
transcript.whisperx[1].start 19.965
transcript.whisperx[1].end 34.782
transcript.whisperx[1].text 賴議員好賴副總理好我想大概前面的我已經問了啦我還是在問你關心一下那個馬鈴薯啊這個主要他院長說要每一顆都檢驗喔你說不可能對不對
transcript.whisperx[2].start 36.083
transcript.whisperx[2].end 62.784
transcript.whisperx[2].text 你做不到你說就是2%到10%到底現在是怎麼樣就是邊境管理我問了早上我都才回去了邊境管理也沒有這麼多人你知道一年要進來大概五億顆的馬鈴薯如果每一顆都檢驗他總共就100個人海關檢驗的就100個人100個人他也沒有一個專屬說專門來驗馬鈴薯也沒有大家混起來一起用
transcript.whisperx[3].start 63.584
transcript.whisperx[3].end 82.582
transcript.whisperx[3].text 所以整個情況就不可能嘛 對不對你這個情況要不要講一下跟委員說明就是我們這個食藥署在邊境它是抽驗的概念抽驗就是說如果抽到這個貨櫃然後它就會挑幾顆然後就去做這個檢驗包含這個龍葵檢驗這個就會驗檢驗什麼項目包含這個重金屬
transcript.whisperx[4].start 88.848
transcript.whisperx[4].end 109.131
transcript.whisperx[4].text 農藥殘留包含這個配糖體那裡面就包含這個龍葵鹼就是所謂的茄鹼如果驗出來有超標任何一個地方超標我們是這個貨櫃整個貨櫃就退就退或銷毀所以不需要一顆一顆去不需要一顆一顆整個就退了你就打臉著龍派不是
transcript.whisperx[5].start 109.651
transcript.whisperx[5].end 131.92
transcript.whisperx[5].text 那個院長講的應該是講因為我們是靠科學檢驗啦但是另外一塊是檢驗不是 另外一個是檢驗啦農業部他們是那個防疫署防檢署他們是做那個檢驗檢驗他就會去看外觀有沒有病狀害啊所以你的是邊境管理我們這是在做邊境的檢驗查驗農業部也是邊境管理農業部有做邊境邊境是有兩個部會對啊 你們差別在哪裡啊
transcript.whisperx[6].start 140.004
transcript.whisperx[6].end 159.184
transcript.whisperx[6].text 我們是根據的是食品衛生他們是在做這個檢疫檢疫就包含有沒有植物病蟲害包含剛剛說的所以不管是農業部或者是衛福部的邊境管理派的人在那裡基本上做不到除科檢驗就這個意思
transcript.whisperx[7].start 161.385
transcript.whisperx[7].end 185.291
transcript.whisperx[7].text 都是抽菸啦 都是抽菸只是說他在那個房間署的話他就是就抽掉嘛第二個問題 今天談到比較特殊小孩子因為我前沒有多久去參加一個算是莊角吧 只是他的女兒年紀輕輕就收了
transcript.whisperx[8].start 186.311
transcript.whisperx[8].end 206.253
transcript.whisperx[8].text 很難過啊那個整個就很難過就是年輕人的自殺率年輕人只有15歲到24歲在台灣這個族群這個年齡層他的死因占第二位而且年輕人的自殺的死亡率高於全球的平均比全球高出兩成了
transcript.whisperx[9].start 207.314
transcript.whisperx[9].end 230.367
transcript.whisperx[9].text 這一部分特別對特殊的我不知道你對於特殊的小孩子的group你了解多少但應該趙立強你應該很了解因為我們在選舉都知道我參加過很多很多這種有非常特殊的有這個有玻璃娃娃有什麼的就類似這樣很特殊的這個如果你把規律人數有多少人
transcript.whisperx[10].start 234.011
transcript.whisperx[10].end 253.799
transcript.whisperx[10].text 因為我們現在需要特殊教育的特殊教育喔對特殊教育就比較不是我們我們的那個長管這個是教育部特殊教育的不過如果以我們的數字就是脆弱家庭大概差不多是兩萬戶左右啦那你照顧怎麼照顧
transcript.whisperx[11].start 255.629
transcript.whisperx[11].end 268.419
transcript.whisperx[11].text 我們如果有列入到我們的脆弱家庭的話呢那當然就有社工會去定期的關懷啦了解協助資源的這個串接的
transcript.whisperx[12].start 272.416
transcript.whisperx[12].end 290.626
transcript.whisperx[12].text 經費這個比較不好算因為這個有整塊的還有包含中低收入戶低收入戶還有這個福利家庭要講一下好不好經費那個有沒有社安網到118年到剛委員報告社安網115到119115到118年5年的總經費目前是編列800多億不是你社安網全部就真的這一塊這一小塊有沒有通緝的
transcript.whisperx[13].start 301.301
transcript.whisperx[13].end 321.662
transcript.whisperx[13].text 這個可能我們需要再我覺得需要我們算一下之後需要去照顧好不好需要特別去照顧年輕的這一塊其實很多面臨到很多的不管什麼原因家裡的原因數字比較低或者其他什麼原因Whatever的原因它就變成一個很特殊的group不管多少人都是很值得
transcript.whisperx[14].start 322.503
transcript.whisperx[14].end 336.351
transcript.whisperx[14].text 我們相關的單位衛護部責無旁貸要特別去照顧我覺得經費可以多便宜一點好最後一個東西我看沒有Art的這個藥品跟衣材還要被課高關稅嗎是這樣子嗎
transcript.whisperx[15].start 339.622
transcript.whisperx[15].end 362.381
transcript.whisperx[15].text 目前新的我們了解的這個關稅是這個美國是針對那個專利要及其原料要課關稅其餘的不是在專利期或學名要和其他的原料要都是零關稅對啊可是他這裡1232他要專利要要課百分之百的重稅台灣沒有豁免喔
transcript.whisperx[16].start 362.961
transcript.whisperx[16].end 383.68
transcript.whisperx[16].text 但是因為台灣現在是這樣我們真正專利藥輸到美國的只有一個藥啦我們其他都是學名藥跟原料藥那些都是免關稅這一個專利藥在美國也打算設廠了所以它也可以豁免所以對我們來講是沒有影響抗癌跟寒病的新藥會不會漲價這個東西
transcript.whisperx[17].start 386.349
transcript.whisperx[17].end 392.7
transcript.whisperx[17].text 這個我們再觀察啦因為這是全球要價的我們有評估我們再提供給委員參考謝謝賴思寶委員發言接下來請盧憲義召委