iVOD / 164048

Field Value
IVOD_ID 164048
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164048
日期 2025-10-13
會議資料.會議代碼 委員會-11-4-26-3
會議資料.會議代碼:str 第11屆第4會期社會福利及衛生環境委員會第3次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 3
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4會期社會福利及衛生環境委員會第3次全體委員會議
影片種類 Clip
開始時間 2025-10-13T12:07:40+08:00
結束時間 2025-10-13T12:12:35+08:00
影片長度 00:04:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5d6d14916e595edc04c3809ce11ea747eadaba873199798254e55ddf1b168a31563cb0ca640d278f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱志偉
委員發言時間 12:07:40 - 12:12:35
會議時間 2025-10-13T09:00:00+08:00
會議名稱 立法院第11屆第4會期社會福利及衛生環境委員會第3次全體委員會議(事由:邀請衛生福利部部長及行政院食品安全辦公室就「重大食安事件處理之檢討與食安稽核人力不足問題」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 0.53721875
transcript.pyannote[0].end 0.97596875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 1.21221875
transcript.pyannote[1].end 5.85284375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 8.97471875
transcript.pyannote[2].end 11.87721875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 12.18096875
transcript.pyannote[3].end 13.12596875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 12.29909375
transcript.pyannote[4].end 13.80096875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 14.39159375
transcript.pyannote[5].end 14.94846875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 16.63596875
transcript.pyannote[6].end 16.77096875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 16.77096875
transcript.pyannote[7].end 16.87221875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 16.87221875
transcript.pyannote[8].end 25.00596875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 16.88909375
transcript.pyannote[9].end 16.93971875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 25.29284375
transcript.pyannote[10].end 26.54159375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 26.92971875
transcript.pyannote[11].end 31.13159375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 31.40159375
transcript.pyannote[12].end 34.55721875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 35.50221875
transcript.pyannote[13].end 38.53971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 38.97846875
transcript.pyannote[14].end 40.83471875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 41.93159375
transcript.pyannote[15].end 43.78784375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 44.88471875
transcript.pyannote[16].end 46.58909375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 47.09534375
transcript.pyannote[17].end 49.96409375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 50.01471875
transcript.pyannote[18].end 50.03159375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 50.03159375
transcript.pyannote[19].end 50.57159375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 50.99346875
transcript.pyannote[20].end 53.82846875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 54.03096875
transcript.pyannote[21].end 61.84409375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 56.68034375
transcript.pyannote[22].end 56.88284375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 62.72159375
transcript.pyannote[23].end 64.44284375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 65.10096875
transcript.pyannote[24].end 65.21909375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 65.21909375
transcript.pyannote[25].end 66.26534375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 66.43409375
transcript.pyannote[26].end 68.12159375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 68.45909375
transcript.pyannote[27].end 68.56034375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 69.45471875
transcript.pyannote[28].end 71.73284375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 71.81721875
transcript.pyannote[29].end 73.63971875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 75.09096875
transcript.pyannote[30].end 76.44096875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 77.43659375
transcript.pyannote[31].end 79.07346875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 79.61346875
transcript.pyannote[32].end 81.21659375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 81.45284375
transcript.pyannote[33].end 81.75659375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 82.53284375
transcript.pyannote[34].end 84.70971875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 85.23284375
transcript.pyannote[35].end 86.44784375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 86.92034375
transcript.pyannote[36].end 87.03846875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 87.03846875
transcript.pyannote[37].end 87.07221875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 87.62909375
transcript.pyannote[38].end 90.48096875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 90.73409375
transcript.pyannote[39].end 91.00409375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 91.62846875
transcript.pyannote[40].end 97.88909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 92.28659375
transcript.pyannote[41].end 92.60721875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 98.78346875
transcript.pyannote[42].end 100.77471875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 101.26409375
transcript.pyannote[43].end 102.14159375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 102.93471875
transcript.pyannote[44].end 103.81221875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 104.09909375
transcript.pyannote[45].end 107.52471875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 107.84534375
transcript.pyannote[46].end 109.07721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 109.27971875
transcript.pyannote[47].end 109.75221875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 110.08971875
transcript.pyannote[48].end 111.87846875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 112.43534375
transcript.pyannote[49].end 114.52784375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 114.86534375
transcript.pyannote[50].end 115.33784375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 115.70909375
transcript.pyannote[51].end 121.39596875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 121.39596875
transcript.pyannote[52].end 121.68284375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 121.75034375
transcript.pyannote[53].end 122.00346875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 122.34096875
transcript.pyannote[54].end 127.52159375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 128.26409375
transcript.pyannote[55].end 130.89659375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 131.09909375
transcript.pyannote[56].end 131.94284375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 132.34784375
transcript.pyannote[57].end 132.51659375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 133.07346875
transcript.pyannote[58].end 134.81159375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 135.09846875
transcript.pyannote[59].end 138.20346875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 139.26659375
transcript.pyannote[60].end 140.29596875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 140.59971875
transcript.pyannote[61].end 140.81909375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 141.54471875
transcript.pyannote[62].end 145.74659375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 145.74659375
transcript.pyannote[63].end 146.21909375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 146.42159375
transcript.pyannote[64].end 152.02409375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 153.08721875
transcript.pyannote[65].end 154.09971875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 155.77034375
transcript.pyannote[66].end 157.55909375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 158.63909375
transcript.pyannote[67].end 159.53346875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 160.52909375
transcript.pyannote[68].end 172.98284375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 172.05471875
transcript.pyannote[69].end 175.78409375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 173.50596875
transcript.pyannote[70].end 173.72534375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 175.81784375
transcript.pyannote[71].end 179.44596875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 176.72909375
transcript.pyannote[72].end 177.06659375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 179.93534375
transcript.pyannote[73].end 192.52409375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 190.21221875
transcript.pyannote[74].end 198.59909375
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 199.03784375
transcript.pyannote[75].end 215.99721875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 214.71471875
transcript.pyannote[76].end 217.17846875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 218.27534375
transcript.pyannote[77].end 224.75534375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 225.32909375
transcript.pyannote[78].end 227.42159375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 227.94471875
transcript.pyannote[79].end 229.53096875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 230.88096875
transcript.pyannote[80].end 234.66096875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 235.42034375
transcript.pyannote[81].end 238.03596875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 238.72784375
transcript.pyannote[82].end 252.98721875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 250.75971875
transcript.pyannote[83].end 260.37846875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 253.12221875
transcript.pyannote[84].end 253.30784375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 260.61471875
transcript.pyannote[85].end 265.94721875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 266.23409375
transcript.pyannote[86].end 266.50409375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 266.94284375
transcript.pyannote[87].end 268.83284375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 268.95096875
transcript.pyannote[88].end 276.51096875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 276.02159375
transcript.pyannote[89].end 280.72971875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 280.96596875
transcript.pyannote[90].end 285.15096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 285.45471875
transcript.pyannote[91].end 285.94409375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 286.04534375
transcript.pyannote[92].end 286.66971875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 286.66971875
transcript.pyannote[93].end 288.23909375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 287.85096875
transcript.pyannote[94].end 287.96909375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 288.37409375
transcript.pyannote[95].end 288.44159375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 288.44159375
transcript.pyannote[96].end 288.49221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 288.49221875
transcript.pyannote[97].end 296.10284375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 288.59346875
transcript.pyannote[98].end 289.67346875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 295.09034375
transcript.pyannote[99].end 295.52909375
transcript.whisperx[0].start 1.604
transcript.whisperx[0].end 13.25
transcript.whisperx[0].text 這個能夠聆聽到這個陳毅委員實施班非常精彩的質詢來謝謝主席有請我有部時務長只要屬江署長江署長
transcript.whisperx[1].start 16.896
transcript.whisperx[1].end 43.702
transcript.whisperx[1].text 邱委員好因為我樓上等一下就是下一個也是我把握時間大概一個主題我想江署長也知道我要談什麼所有的有線頻道主流有線頻道電視台或者新聞台它的時段有很多都在放不管是食品或者藥品的廣告譬如說它有助於睡眠一分鐘睡眠就睡著了
transcript.whisperx[2].start 45.489
transcript.whisperx[2].end 73.391
transcript.whisperx[2].text 10秒鐘就睡眠 就睡著了大家看了會心動現在有睡眠問題的人不少他聽到會不會心動因為這個是在主流的這個電子媒體 主流新聞台而且是播放時間兩三分鐘有很多專家 又好像不是專家來做背書 來做見證消費者會受到影響 會連我都心動了我不知道你有沒有睡眠問題 我有一點因為我每天都要從高雄坐第一班高鐵來
transcript.whisperx[3].start 75.231
transcript.whisperx[3].end 97.684
transcript.whisperx[3].text 睡得少又睡得不好但是這個如果真的有療效要經過你們主管機關認證這個有關於這個退黑激素它是一個處方藥品不能在一般市面上販售它不是保健食品所以它用一個很模糊的一個陳述來宣達它的療效
transcript.whisperx[4].start 98.82
transcript.whisperx[4].end 127.298
transcript.whisperx[4].text 那我覺得幾乎這個每家電視台都大頻率高頻率高密度的在播出每天都有 你去看一下他賺很多錢嗎應該賺很多錢電視台有沒有廣告收益 有消費者有沒有因此而受惠而得到改善他們睡眠的這個目標有沒有 不知道所以你們不能讓這個宣稱有療效的保健食品
transcript.whisperx[5].start 128.882
transcript.whisperx[5].end 157.057
transcript.whisperx[5].text 來再公開的頻道去做宣傳這個你要基於保護消費者用藥或者食品衛生的安全不能沒有作為啊部長 署長不能沒有基於作為啊過去你們才查兩件就每天每一台電視台你去看最起碼都五六個時段而且一播都播三四分鐘它是洗腦式的連它台詞我都背得起來
transcript.whisperx[6].start 159.083
transcript.whisperx[6].end 178.938
transcript.whisperx[6].text 為什麼不跑跟委員報告確實這個食品跟藥品的廣告有它的不同的規範跟限制特別是食品是不能夠宣稱療效的只有藥品才有療效那一分鐘可以睡著或者十秒鐘可以睡著這有沒有療效這個算療效所以我們會來處理這件事情
transcript.whisperx[7].start 180
transcript.whisperx[7].end 197.889
transcript.whisperx[7].text 報告委員 上次跟委員進一步報告之後我們其實立刻去因為是藥品 melatonin 推肌素所以直接遮蔽下架採訪所以我們有積極的作為不能讓這種廣告在主流電視台媒體去播出
transcript.whisperx[8].start 200.637
transcript.whisperx[8].end 226.552
transcript.whisperx[8].text 對 針對節目廣告化跟廣告節目化我們希望的是電商業者平台這平台必須課以平台的義務跟責任必須要對這個廣告做進一步所以我們也研議在食安法裡面的修法不只睡眠 還有其他療效 比如說鈣比如說你的免疫技能會增加還有擠出很多數據這些數據都是醫學上的數據
transcript.whisperx[9].start 228.478
transcript.whisperx[9].end 234.404
transcript.whisperx[9].text 他標示的是食品他明明有療效但是你硬要說食品那你就不得不管
transcript.whisperx[10].start 235.478
transcript.whisperx[10].end 259.528
transcript.whisperx[10].text 跟委員這邊進一步說明了我們針對食品裡面現在的所謂保健食品法的保健食品以外有些功能 功效性的成分底下的食品我們進一步研議納管變成是所謂的功能性食品你們要有一個監看小組去看有哪些藥品有哪些保健食品已經違反你們相關規定你們該罰就要罰 而且要連續處罰
transcript.whisperx[11].start 260.828
transcript.whisperx[11].end 281.563
transcript.whisperx[11].text 你要保障國人的用藥安全或者使用健康食品的這個降低風險謝謝委員 我們針對這部分包含它的頻率 秒數 重複的次數其實有非常非常上限 沒有上限性的一個懲罰的規定不過我覺得今天質詢過之後希望說食藥署跟衛福部能夠拿起這機器作為能夠讓這些現象能夠 能夠改善
transcript.whisperx[12].start 285.566
transcript.whisperx[12].end 292.012
transcript.whisperx[12].text 好好的謝謝謝謝委員謝謝委員我們會近期就開始啟動讓他有很快的時間來處理好謝謝