| IVOD_ID |
165438 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165438 |
| 日期 |
2025-11-13 |
| 會議資料.會議代碼 |
委員會-11-4-26-10 |
| 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10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 |
10 |
| 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10次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-13T12:27:32+08:00 |
| 結束時間 |
2025-11-13T12:35:43+08:00 |
| 影片長度 |
00:08:11 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fffa2c65c610facee199febc8defd45e8ff38efa2589ba080834c22697b3aa2abfd08b43458302aa5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
羅廷瑋 |
| 委員發言時間 |
12:27:32 - 12:35:43 |
| 會議時間 |
2025-11-13T09:00:00+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10次全體委員會議（事由：邀請衛生福利部部長及行政院主計總處就「癌症新藥暫時性支付及罕見疾病藥物專款預算運用成效及政策檢討」進行專題報告，並備質詢。
(討論事項)
審查
一、委員羅廷瑋等16人擬具「癌症防治法第十三條及第十六條條文修正草案」案。
二、委員陳菁徽等16人擬具「癌症防治法第十六條條文修正草案」案。
三、委員邱鎮軍等19人擬具「癌症防治法第五條及第十六條條文修正草案」案。
四、委員劉建國等17人擬具「癌症防治法第十六條條文修正草案」案。
五、委員王正旭等17人擬具「癌症防治法第十六條條文修正草案」案。
六、委員顏寬恒等21人擬具「癌症防治法第十三條條文修正草案」案。
七、委員林淑芬等20人擬具「癌症防治法第十六條條文修正草案」案。
八、委員盧縣一等17人擬具「癌症防治法第八條及第十六條條文修正草案」案。
九、委員顏寬恒等24人擬具「癌症防治法第十六條條文修正草案」案。
十、委員蘇巧慧等30人擬具「癌症防治法修正草案」案。
十一、委員林月琴等16人擬具「癌症防治法第十六條條文修正草案」案。
十二、委員邱議瑩等16人擬具「癌症防治法第十六條條文修正草案」案。
十三、委員羅智強等18人擬具「癌症防治法第十六條條文修正草案」案。
十四、台灣民眾黨黨團擬具「癌症防治法第一條、第十三條及第十六條條文修正草案」案。
十五、委員陳亭妃等17人擬具「癌症防治法第十六條條文修正草案」案。
十六、委員黃秀芳等21人擬具「癌症防治法第十六條條文修正草案」案。
十七、委員馬文君等16人擬具「癌症防治法第十六條條文修正草案」案。
【專題報告及討論事項綜合詢答；討論事項僅詢答】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.97159375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
3.89534375 |
| transcript.pyannote[1].end |
4.35096875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
4.35096875 |
| transcript.pyannote[2].end |
4.38471875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
5.63346875 |
| transcript.pyannote[3].end |
6.15659375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
5.92034375 |
| transcript.pyannote[4].end |
6.44346875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
6.44346875 |
| transcript.pyannote[5].end |
45.25596875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
45.79596875 |
| transcript.pyannote[6].end |
48.07409375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
48.47909375 |
| transcript.pyannote[7].end |
68.59409375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
69.04971875 |
| transcript.pyannote[8].end |
81.79034375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
82.29659375 |
| transcript.pyannote[9].end |
89.58659375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
90.07596875 |
| transcript.pyannote[10].end |
92.72534375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
93.56909375 |
| transcript.pyannote[11].end |
93.97409375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
93.97409375 |
| transcript.pyannote[12].end |
128.70284375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
101.07846875 |
| transcript.pyannote[13].end |
101.55096875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
104.20034375 |
| transcript.pyannote[14].end |
105.78659375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
124.70346875 |
| transcript.pyannote[15].end |
125.80034375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
125.93534375 |
| transcript.pyannote[16].end |
149.54346875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
149.76284375 |
| transcript.pyannote[17].end |
153.08721875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
153.08721875 |
| transcript.pyannote[18].end |
153.12096875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
153.12096875 |
| transcript.pyannote[19].end |
153.30659375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
153.30659375 |
| transcript.pyannote[20].end |
153.44159375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
153.44159375 |
| transcript.pyannote[21].end |
153.74534375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
153.74534375 |
| transcript.pyannote[22].end |
179.90159375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
153.79596875 |
| transcript.pyannote[23].end |
154.45409375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
180.12096875 |
| transcript.pyannote[24].end |
187.00596875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
186.12846875 |
| transcript.pyannote[25].end |
199.24034375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
196.97909375 |
| transcript.pyannote[26].end |
202.96971875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
202.96971875 |
| transcript.pyannote[27].end |
203.40846875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
203.00346875 |
| transcript.pyannote[28].end |
205.70346875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
205.70346875 |
| transcript.pyannote[29].end |
214.63034375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
215.17034375 |
| transcript.pyannote[30].end |
218.03909375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
218.66346875 |
| transcript.pyannote[31].end |
219.96284375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
219.96284375 |
| transcript.pyannote[32].end |
220.03034375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
220.55346875 |
| transcript.pyannote[33].end |
220.57034375 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
220.57034375 |
| transcript.pyannote[34].end |
234.54284375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
226.42596875 |
| transcript.pyannote[35].end |
227.25284375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
227.33721875 |
| transcript.pyannote[36].end |
227.59034375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
232.06221875 |
| transcript.pyannote[37].end |
235.43721875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
235.08284375 |
| transcript.pyannote[38].end |
238.03596875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
238.03596875 |
| transcript.pyannote[39].end |
245.54534375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
246.81096875 |
| transcript.pyannote[40].end |
248.92034375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
249.59534375 |
| transcript.pyannote[41].end |
255.09659375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
256.09221875 |
| transcript.pyannote[42].end |
258.10034375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
256.29471875 |
| transcript.pyannote[43].end |
256.51409375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
258.43784375 |
| transcript.pyannote[44].end |
258.45471875 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
258.45471875 |
| transcript.pyannote[45].end |
258.47159375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
258.47159375 |
| transcript.pyannote[46].end |
258.52221875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
258.52221875 |
| transcript.pyannote[47].end |
258.91034375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
258.91034375 |
| transcript.pyannote[48].end |
258.92721875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
258.92721875 |
| transcript.pyannote[49].end |
277.69221875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
267.75284375 |
| transcript.pyannote[50].end |
267.80346875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
277.69221875 |
| transcript.pyannote[51].end |
279.95346875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
277.70909375 |
| transcript.pyannote[52].end |
281.74221875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
281.87721875 |
| transcript.pyannote[53].end |
281.89409375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
281.89409375 |
| transcript.pyannote[54].end |
284.18909375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
284.18909375 |
| transcript.pyannote[55].end |
291.56346875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
284.25659375 |
| transcript.pyannote[56].end |
284.45909375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
291.76596875 |
| transcript.pyannote[57].end |
299.03909375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
291.83346875 |
| transcript.pyannote[58].end |
291.90096875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
291.91784375 |
| transcript.pyannote[59].end |
292.13721875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
299.03909375 |
| transcript.pyannote[60].end |
306.88596875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
299.56221875 |
| transcript.pyannote[61].end |
300.52409375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
307.59471875 |
| transcript.pyannote[62].end |
309.97409375 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
309.97409375 |
| transcript.pyannote[63].end |
318.09096875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
315.61034375 |
| transcript.pyannote[64].end |
315.71159375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
316.65659375 |
| transcript.pyannote[65].end |
317.88846875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
318.36096875 |
| transcript.pyannote[66].end |
325.70159375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
323.22096875 |
| transcript.pyannote[67].end |
324.04784375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
324.95909375 |
| transcript.pyannote[68].end |
325.46534375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
325.95471875 |
| transcript.pyannote[69].end |
326.54534375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
326.68034375 |
| transcript.pyannote[70].end |
333.39659375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
334.94909375 |
| transcript.pyannote[71].end |
335.48909375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
335.48909375 |
| transcript.pyannote[72].end |
355.09784375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
351.85784375 |
| transcript.pyannote[73].end |
352.65096875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
354.11909375 |
| transcript.pyannote[74].end |
361.51034375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
358.54034375 |
| transcript.pyannote[75].end |
359.21534375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
360.21096875 |
| transcript.pyannote[76].end |
366.03284375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
366.03284375 |
| transcript.pyannote[77].end |
366.06659375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
366.08346875 |
| transcript.pyannote[78].end |
369.08721875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
369.34034375 |
| transcript.pyannote[79].end |
378.09846875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
371.44971875 |
| transcript.pyannote[80].end |
371.92221875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
376.05659375 |
| transcript.pyannote[81].end |
376.41096875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
378.72284375 |
| transcript.pyannote[82].end |
390.72096875 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
381.43971875 |
| transcript.pyannote[83].end |
381.74346875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
387.31221875 |
| transcript.pyannote[84].end |
387.37971875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
390.73784375 |
| transcript.pyannote[85].end |
391.15971875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
391.51409375 |
| transcript.pyannote[86].end |
393.04971875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
393.31971875 |
| transcript.pyannote[87].end |
396.57659375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
396.57659375 |
| transcript.pyannote[88].end |
397.21784375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
396.88034375 |
| transcript.pyannote[89].end |
397.67346875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
398.63534375 |
| transcript.pyannote[90].end |
412.35471875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
401.09909375 |
| transcript.pyannote[91].end |
401.53784375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
405.13221875 |
| transcript.pyannote[92].end |
408.05159375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
409.35096875 |
| transcript.pyannote[93].end |
410.70096875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
411.59534375 |
| transcript.pyannote[94].end |
418.69971875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
419.42534375 |
| transcript.pyannote[95].end |
427.12034375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
427.12034375 |
| transcript.pyannote[96].end |
431.38971875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
431.49096875 |
| transcript.pyannote[97].end |
432.09846875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
431.60909375 |
| transcript.pyannote[98].end |
433.97159375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
433.63409375 |
| transcript.pyannote[99].end |
440.68784375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
439.89471875 |
| transcript.pyannote[100].end |
443.05034375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
443.43846875 |
| transcript.pyannote[101].end |
451.25159375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
448.43346875 |
| transcript.pyannote[102].end |
451.35284375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
451.35284375 |
| transcript.pyannote[103].end |
451.50471875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
451.50471875 |
| transcript.pyannote[104].end |
463.18221875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
451.55534375 |
| transcript.pyannote[105].end |
452.39909375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
453.37784375 |
| transcript.pyannote[106].end |
453.85034375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
454.44096875 |
| transcript.pyannote[107].end |
454.50846875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
459.36846875 |
| transcript.pyannote[108].end |
471.11346875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
469.96596875 |
| transcript.pyannote[109].end |
482.97659375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
475.93971875 |
| transcript.pyannote[110].end |
476.09159375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
482.97659375 |
| transcript.pyannote[111].end |
484.81596875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
485.08596875 |
| transcript.pyannote[112].end |
485.10284375 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
485.10284375 |
| transcript.pyannote[113].end |
485.79471875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
485.79471875 |
| transcript.pyannote[114].end |
485.81159375 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
485.81159375 |
| transcript.pyannote[115].end |
485.96346875 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
486.13221875 |
| transcript.pyannote[116].end |
486.28409375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
486.28409375 |
| transcript.pyannote[117].end |
486.97596875 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
486.97596875 |
| transcript.pyannote[118].end |
489.25409375 |
| transcript.whisperx[0].start |
0.13 |
| transcript.whisperx[0].end |
0.635 |
| transcript.whisperx[0].text |
有請部長請部長 |
| transcript.whisperx[1].start |
6.794 |
| transcript.whisperx[1].end |
35.576 |
| transcript.whisperx[1].text |
部長好今天排審這個癌症防治法我想基本上朝野共識幾乎很多的版本大家都是要設置癌症新藥的多元基金那我想今天呢也看到了大家都很希望法律明確的確定有一個制度化長期運作的一個基金讓這個癌症病患能夠穩定的用藥不會再受限於每一次的年度預算或政策的變動但很可惜今天看到你們的報告指出因為財政機率法 |
| transcript.whisperx[2].start |
36.376 |
| transcript.whisperx[2].end |
59.869 |
| transcript.whisperx[2].text |
所以呢你們已經有癌症新藥的一個暫時性的支付業務已經納入了健保基金的辦理所以就是建議講白的就是維持現行條文但是我想部長癌症新藥給付長期且持續性的這樣子我們看到以暫時性支付也已經說明了他就是暫時意味著不確定啊 |
| transcript.whisperx[3].start |
61.07 |
| transcript.whisperx[3].end |
81.561 |
| transcript.whisperx[3].text |
所以整個哪一天因為公務預算或者特殊原因被終止這就是我們並有所擔心的斷崖式的風險所以今天我還是要再一次的跟您請託你也看到這麼多的委員在關心是不是能夠走向永續保障重要的一步若現行暫時性的一個支付 |
| transcript.whisperx[4].start |
82.401 |
| transcript.whisperx[4].end |
92.169 |
| transcript.whisperx[4].text |
有天因為財政預算特別情況然後呢衛福部有何具體的一個方案去做替代你能夠及時保障心要給付不中斷嗎 |
| transcript.whisperx[5].start |
93.815 |
| transcript.whisperx[5].end |
119.011 |
| transcript.whisperx[5].text |
跟委員說明這個暫時性支付的意思不是不穩定的意思他是說在進入健保之前因為我們健保是這個前一年度就決定了下一年度在審核的過程當中呢認為說剛好今年的budget不夠所以先放在這個基金所以他大概是兩三年之後還是要回到健保所以即使不論你是現在的在健保基金裡面的專款 |
| transcript.whisperx[6].start |
119.511 |
| transcript.whisperx[6].end |
149.191 |
| transcript.whisperx[6].text |
或者是未來的這個癌症的這個新藥的多元基金也是一樣都是暫時性的待會我們來談一下這個審查的時間這個審查時間我也可以跟你就教啦但是第二個問題先請教部長目前癌症新藥基金對不起癌藥的基金給付的藥品原則上還是屬於暫時性支付兩至三年要如何透過醫療科技的評估將效益明確的回歸藥品常規的健保給付 |
| transcript.whisperx[7].start |
150.512 |
| transcript.whisperx[7].end |
169.551 |
| transcript.whisperx[7].text |
這個衛福部有沒有部分的完整規劃在我們成立這個專款支付的時候都已經設計好了他要進來的時候就有一個HTAHTR的評估計劃如何收資料然後到時候時間快到的時候兩年快到的時候那麼如何 |
| transcript.whisperx[8].start |
170.071 |
| transcript.whisperx[8].end |
198.978 |
| transcript.whisperx[8].text |
依據臨床的實際的使用的情形跟結果來做評估最後來決定他要納入到正式健保給付的價格或者是試印證那最後再做決定大概是這個都已經設計的有一套的做法我想我們都很關切就是準備使用的這些病友他們治療的一個權益當然會不會被迫中斷或者是自費治療這部分我們都很關心當然我看到聽到你的回應我們還是希望這個部分一定要特別注重 |
| transcript.whisperx[9].start |
199.378 |
| transcript.whisperx[9].end |
219.172 |
| transcript.whisperx[9].text |
除非我們後面的評估是沒有效當然就不再付啦如果是有效的那他可能會去調整好剛剛其他委員有提到那我想部長那個賴總統說啊4月份才說基金這個新藥基金的規模是100億這個基金的水庫一定要保持在這個水位請問何時會達到100億 |
| transcript.whisperx[10].start |
220.912 |
| transcript.whisperx[10].end |
248.528 |
| transcript.whisperx[10].text |
跟委員說明我們今年大概是用掉在差不多20億左右那明年又50億所以明年還有七八十億可以用啦那之後呢但是他有講嘛水庫要保持這個水位嘛這個水位會一直上去所以大概後年就會到100億我想癌症新藥基金後年齁癌症新藥基金暫時性的給付齁目前最快速度是3.5個月最慢要等10個月部長 |
| transcript.whisperx[11].start |
249.659 |
| transcript.whisperx[11].end |
254.798 |
| transcript.whisperx[11].text |
等10個月往往病友還沒有等到藥人就先躺平了這審查時間這麼久的原因 |
| transcript.whisperx[12].start |
256.161 |
| transcript.whisperx[12].end |
277.074 |
| transcript.whisperx[12].text |
目前最大的瓶頸是什麼如果是指納入幾戶的審查時間我們在縮短那個是您說的那個10個月是叫做平行審查我們有另外有一個新的平行審查一般我們現在大概都需要在一年半到兩年才會進入到幾戶從它來申請平行審查已經縮短到這已經在縮短 |
| transcript.whisperx[13].start |
282.097 |
| transcript.whisperx[13].end |
306.636 |
| transcript.whisperx[13].text |
這有必要性吧我今天提出這樣子的對就是我們會去選擇說這個是不可替代那臨床上確實有他的需要才會進入平行審查那一般如果現在已經有藥的已經有藥那你進來的話現在已經有藥的那就不會進入到平行審查好另外跟你針對健康政策與醫療科技的祭品評估中心什麼時候可以送到行政院 |
| transcript.whisperx[14].start |
308.929 |
| transcript.whisperx[14].end |
333.198 |
| transcript.whisperx[14].text |
這個法人叫做國家醫療科技評估中心的設置條例我們現在已經在行政院審查中了審查中了 預計什麼時候會到立法院我們會盡量努力那麼快的話可能年底前就可以送到立法院今年年底最後我想問一下部長這個癌症病有所需要使用的這個醫材能不能也納入補助 |
| transcript.whisperx[15].start |
335.987 |
| transcript.whisperx[15].end |
353.804 |
| transcript.whisperx[15].text |
醫材的那個樣態就很多了他是非常多樣多元性的所以也是一樣我們都會經過如果是一般的醫材大概都付了啦那很高價很特殊的還是一樣會經過那個剛剛講的這個科技評估HTA評估之後來看看 |
| transcript.whisperx[16].start |
354.164 |
| transcript.whisperx[16].end |
376.969 |
| transcript.whisperx[16].text |
那還是回到我們剛剛說的嘛因為有些我們希望未來有機會能夠納入評估當然我們尊重評估啦評估的結果如果有的我們是全給付有的是用差額負擔的方式最後我想再請教一個問題因為剛剛黃委員在關心這個病床的問題那其實就我們自己的選區台中東南區我這邊有這個中興 |
| transcript.whisperx[17].start |
379.163 |
| transcript.whisperx[17].end |
397.01 |
| transcript.whisperx[17].text |
醫學院對不起中興大學申請的輻射醫院目前他們也在申請說要輻射醫院的成立那他們當時是申請大概好像也是五六百床然後499那499床目前審議的過程當中你們在審查嗎對狀況怎麼樣 |
| transcript.whisperx[18].start |
398.666 |
| transcript.whisperx[18].end |
418.319 |
| transcript.whisperx[18].text |
因為還是看這個醫療資源的情形那台中跟剛剛新北比起來是剛剛數字比較豐沛一點這個數據我都知道就高很多目前他所在的那個新聞也出了然後大家也期盼了房價也漲了然後他就說要拼2030年要完工 |
| transcript.whisperx[19].start |
419.5 |
| transcript.whisperx[19].end |
440.592 |
| transcript.whisperx[19].text |
然後想請問一下你可不可以給我最現在最具體的目前審查狀況是會通過還是不會通過以那個設立的地點周邊的醫療資源真的太豐沛他就在市中心所以你不會通過所以這個恐怕這個對於資源的這個投入會過剩但什麼時候會有這個審查的決議出來 |
| transcript.whisperx[20].start |
444.159 |
| transcript.whisperx[20].end |
462.17 |
| transcript.whisperx[20].text |
因為這個是要由一省會去審查我比較不好因為一省會都在排審中可以幫我們加快一下嗎因為民眾很期待嘛我剛說民眾期待新聞出了房價也漲了結果最後到底是有還是沒有不過以中興大學有設立醫學系他應該去 |
| transcript.whisperx[21].start |
464.031 |
| transcript.whisperx[21].end |
484.266 |
| transcript.whisperx[21].text |
支援現行的在台中還有很多醫院他去協助提升到他們的醫療會更好反正我的意思是說 輻射醫院的這個審查能不能幫我們催一下 加速一下就剛剛你所說的嘛 很豐沛看起來就是不行了嘛那我們要知道具體的結果 好不好程序上我們來加快謝謝 謝謝委員好 謝謝接下來請圖全集委員來做選擇 |