| IVOD_ID |
165934 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165934 |
| 日期 |
2025-11-26 |
| 會議資料.會議代碼 |
委員會-11-4-26-13 |
| 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13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 |
13 |
| 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13次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-26T12:25:09+08:00 |
| 結束時間 |
2025-11-26T12:33:01+08:00 |
| 影片長度 |
00:07:52 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f5b16bee5fdcc5c1e31615e41cb94cabba7bab90aa47d999a94b05c965ca2aff9aa7beedfef2e22d5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴士葆 |
| 委員發言時間 |
12:25:09 - 12:33:01 |
| 會議時間 |
2025-11-26T09:00:00+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13次全體委員會議（事由：邀請衛生福利部部長、財政部及環境部就「蘇丹紅化學原料竄臺，政府如何強化進口把關及後市場查驗，以維護國人健康安全」進行專題報告，並備質詢。
邀請衛生福利部部長、司法院、法務部、勞動部及內政部警政署就「國內醫師、護理人力需求及分布暨防止醫療暴力措施及改善情形」進行專題報告，並備質詢。
(討論事項)
審查
一、委員柯志恩等17人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
二、委員林月琴等17人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
三、委員王育敏等16人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
四、委員顏寬恒等17人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
五、委員萬美玲等16人擬具「醫療法第一百零六條條文修正草案」案。
六、委員顏寬恒等16人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
七、委員邱若華等17人擬具「醫療法第一百零六條條文修正草案」案。
八、委員陳菁徽等17人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
九、委員魯明哲等18人擬具「醫療法第一百零六條條文修正草案」案。
十、委員王鴻薇等20人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
十一、委員林淑芬等25人擬具「醫療法增訂第一百條之一條文草案」案。
十二、委員盧縣一等16人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
十三、委員羅廷瑋等21人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
十四、委員廖偉翔等17人擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
【第十四案，如經復議，則不予審查】【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_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
0.73971875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
8.89034375 |
| transcript.pyannote[1].end |
9.16034375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
10.64534375 |
| transcript.pyannote[2].end |
11.67471875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
12.07971875 |
| transcript.pyannote[3].end |
15.62346875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
19.15034375 |
| transcript.pyannote[4].end |
19.74096875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
20.31471875 |
| transcript.pyannote[5].end |
21.05721875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
23.25096875 |
| transcript.pyannote[6].end |
24.98909375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
25.81596875 |
| transcript.pyannote[7].end |
27.04784375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
27.84096875 |
| transcript.pyannote[8].end |
30.16971875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
30.67596875 |
| transcript.pyannote[9].end |
33.29159375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
33.78096875 |
| transcript.pyannote[10].end |
34.67534375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
35.01284375 |
| transcript.pyannote[11].end |
35.24909375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
35.24909375 |
| transcript.pyannote[12].end |
37.61159375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
38.10096875 |
| transcript.pyannote[13].end |
41.81346875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
41.83034375 |
| transcript.pyannote[14].end |
41.84721875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
41.84721875 |
| transcript.pyannote[15].end |
62.94096875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
61.75971875 |
| transcript.pyannote[16].end |
63.71721875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
63.71721875 |
| transcript.pyannote[17].end |
64.59471875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
63.81846875 |
| transcript.pyannote[18].end |
66.18096875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
64.67909375 |
| transcript.pyannote[19].end |
85.78971875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
85.19909375 |
| transcript.pyannote[20].end |
87.62909375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
87.64596875 |
| transcript.pyannote[21].end |
90.37971875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
90.37971875 |
| transcript.pyannote[22].end |
90.39659375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
90.93659375 |
| transcript.pyannote[23].end |
91.40909375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
91.40909375 |
| transcript.pyannote[24].end |
91.49346875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
91.96596875 |
| transcript.pyannote[25].end |
91.99971875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
91.99971875 |
| transcript.pyannote[26].end |
95.71221875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
94.80096875 |
| transcript.pyannote[27].end |
97.77096875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
96.04971875 |
| transcript.pyannote[28].end |
113.59971875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
111.84471875 |
| transcript.pyannote[29].end |
112.57034375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
113.48159375 |
| transcript.pyannote[30].end |
116.67096875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
117.31221875 |
| transcript.pyannote[31].end |
122.83034375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
123.57284375 |
| transcript.pyannote[32].end |
123.97784375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
124.73721875 |
| transcript.pyannote[33].end |
147.95721875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
139.41846875 |
| transcript.pyannote[34].end |
139.90784375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
146.62409375 |
| transcript.pyannote[35].end |
148.46346875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
148.69971875 |
| transcript.pyannote[36].end |
151.85534375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
151.63596875 |
| transcript.pyannote[37].end |
155.53409375 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
151.87221875 |
| transcript.pyannote[38].end |
151.88909375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
152.09159375 |
| transcript.pyannote[39].end |
152.56409375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
155.75346875 |
| transcript.pyannote[40].end |
159.82034375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
156.39471875 |
| transcript.pyannote[41].end |
156.69846875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
160.49534375 |
| transcript.pyannote[42].end |
161.33909375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
162.21659375 |
| transcript.pyannote[43].end |
166.41846875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
164.57909375 |
| transcript.pyannote[44].end |
166.36784375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
166.38471875 |
| transcript.pyannote[45].end |
178.38284375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
168.86534375 |
| transcript.pyannote[46].end |
169.28721875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
170.63721875 |
| transcript.pyannote[47].end |
170.94096875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
172.44284375 |
| transcript.pyannote[48].end |
173.20221875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
177.84284375 |
| transcript.pyannote[49].end |
178.39971875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
178.39971875 |
| transcript.pyannote[50].end |
179.20971875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
179.54721875 |
| transcript.pyannote[51].end |
179.56409375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
179.56409375 |
| transcript.pyannote[52].end |
185.03159375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
179.91846875 |
| transcript.pyannote[53].end |
180.13784375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
185.55471875 |
| transcript.pyannote[54].end |
185.97659375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
185.97659375 |
| transcript.pyannote[55].end |
187.96784375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
187.96784375 |
| transcript.pyannote[56].end |
190.44846875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
189.16596875 |
| transcript.pyannote[57].end |
190.41471875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
190.93784375 |
| transcript.pyannote[58].end |
200.38784375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
191.19096875 |
| transcript.pyannote[59].end |
192.05159375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
200.82659375 |
| transcript.pyannote[60].end |
200.97846875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
202.07534375 |
| transcript.pyannote[61].end |
204.67409375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
204.01596875 |
| transcript.pyannote[62].end |
207.54284375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
208.69034375 |
| transcript.pyannote[63].end |
209.06159375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
209.06159375 |
| transcript.pyannote[64].end |
213.34784375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
209.16284375 |
| transcript.pyannote[65].end |
209.90534375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
213.70221875 |
| transcript.pyannote[66].end |
214.02284375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
214.02284375 |
| transcript.pyannote[67].end |
214.96784375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
214.17471875 |
| transcript.pyannote[68].end |
214.57971875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
214.96784375 |
| transcript.pyannote[69].end |
215.05221875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
215.05221875 |
| transcript.pyannote[70].end |
215.08596875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
215.08596875 |
| transcript.pyannote[71].end |
232.34909375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
215.11971875 |
| transcript.pyannote[72].end |
219.70971875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
227.43846875 |
| transcript.pyannote[73].end |
234.54284375 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
235.85909375 |
| transcript.pyannote[74].end |
236.80409375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
236.34846875 |
| transcript.pyannote[75].end |
236.61846875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
237.09096875 |
| transcript.pyannote[76].end |
249.59534375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
239.06534375 |
| transcript.pyannote[77].end |
240.49971875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
244.95471875 |
| transcript.pyannote[78].end |
247.24971875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
247.80659375 |
| transcript.pyannote[79].end |
248.86971875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
249.51096875 |
| transcript.pyannote[80].end |
250.30409375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
250.77659375 |
| transcript.pyannote[81].end |
256.98659375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
257.29034375 |
| transcript.pyannote[82].end |
258.50534375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
259.18034375 |
| transcript.pyannote[83].end |
262.26846875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
261.01971875 |
| transcript.pyannote[84].end |
261.52596875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
262.26846875 |
| transcript.pyannote[85].end |
262.30221875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
262.30221875 |
| transcript.pyannote[86].end |
262.38659375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
262.38659375 |
| transcript.pyannote[87].end |
267.90471875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
263.75346875 |
| transcript.pyannote[88].end |
264.20909375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
266.28471875 |
| transcript.pyannote[89].end |
267.19596875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
267.48284375 |
| transcript.pyannote[90].end |
267.65159375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
267.90471875 |
| transcript.pyannote[91].end |
268.81596875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
269.33909375 |
| transcript.pyannote[92].end |
271.78596875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
272.30909375 |
| transcript.pyannote[93].end |
278.24909375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
278.43471875 |
| transcript.pyannote[94].end |
282.09659375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
282.23159375 |
| transcript.pyannote[95].end |
286.45034375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
286.77096875 |
| transcript.pyannote[96].end |
292.74471875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
292.86284375 |
| transcript.pyannote[97].end |
295.63034375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
296.05221875 |
| transcript.pyannote[98].end |
298.09409375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
298.17846875 |
| transcript.pyannote[99].end |
298.46534375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
298.68471875 |
| transcript.pyannote[100].end |
304.77659375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
305.58659375 |
| transcript.pyannote[101].end |
305.62034375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
305.62034375 |
| transcript.pyannote[102].end |
311.23971875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
310.21034375 |
| transcript.pyannote[103].end |
316.87596875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
317.44971875 |
| transcript.pyannote[104].end |
319.50846875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
320.21721875 |
| transcript.pyannote[105].end |
325.29659375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
325.07721875 |
| transcript.pyannote[106].end |
332.75534375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
333.46409375 |
| transcript.pyannote[107].end |
335.37096875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
335.75909375 |
| transcript.pyannote[108].end |
338.07096875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
338.64471875 |
| transcript.pyannote[109].end |
339.55596875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
339.99471875 |
| transcript.pyannote[110].end |
342.15471875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
343.23471875 |
| transcript.pyannote[111].end |
344.17971875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
344.39909375 |
| transcript.pyannote[112].end |
344.90534375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
345.76596875 |
| transcript.pyannote[113].end |
347.03159375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
347.99346875 |
| transcript.pyannote[114].end |
348.92159375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
349.93409375 |
| transcript.pyannote[115].end |
352.53284375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
353.42721875 |
| transcript.pyannote[116].end |
355.40159375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
355.75596875 |
| transcript.pyannote[117].end |
358.13534375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
358.94534375 |
| transcript.pyannote[118].end |
362.16846875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
363.14721875 |
| transcript.pyannote[119].end |
363.50159375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
363.67034375 |
| transcript.pyannote[120].end |
372.69846875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
365.61096875 |
| transcript.pyannote[121].end |
366.47159375 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
373.10346875 |
| transcript.pyannote[122].end |
385.52346875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
384.24096875 |
| transcript.pyannote[123].end |
384.62909375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
386.40096875 |
| transcript.pyannote[124].end |
391.73346875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
392.59409375 |
| transcript.pyannote[125].end |
393.60659375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
393.82596875 |
| transcript.pyannote[126].end |
395.26034375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
396.44159375 |
| transcript.pyannote[127].end |
397.87596875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
399.15846875 |
| transcript.pyannote[128].end |
400.99784375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
401.52096875 |
| transcript.pyannote[129].end |
403.12409375 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
402.73596875 |
| transcript.pyannote[130].end |
402.80346875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
403.32659375 |
| transcript.pyannote[131].end |
403.61346875 |
| transcript.pyannote[132].speaker |
SPEAKER_01 |
| transcript.pyannote[132].start |
404.15346875 |
| transcript.pyannote[132].end |
404.47409375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
404.87909375 |
| transcript.pyannote[133].end |
405.77346875 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
405.77346875 |
| transcript.pyannote[134].end |
405.82409375 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
405.95909375 |
| transcript.pyannote[135].end |
408.32159375 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
408.57471875 |
| transcript.pyannote[136].end |
412.43909375 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
413.94096875 |
| transcript.pyannote[137].end |
415.05471875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
414.48096875 |
| transcript.pyannote[138].end |
414.51471875 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
415.05471875 |
| transcript.pyannote[139].end |
417.09659375 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
415.07159375 |
| transcript.pyannote[140].end |
415.12221875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
416.99534375 |
| transcript.pyannote[141].end |
417.58596875 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
417.16409375 |
| transcript.pyannote[142].end |
425.02784375 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
419.42534375 |
| transcript.pyannote[143].end |
419.67846875 |
| transcript.pyannote[144].speaker |
SPEAKER_01 |
| transcript.pyannote[144].start |
425.02784375 |
| transcript.pyannote[144].end |
425.34846875 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
425.28096875 |
| transcript.pyannote[145].end |
433.26284375 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
425.83784375 |
| transcript.pyannote[146].end |
426.68159375 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
433.87034375 |
| transcript.pyannote[147].end |
434.79846875 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
435.62534375 |
| transcript.pyannote[148].end |
437.68409375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
438.08909375 |
| transcript.pyannote[149].end |
440.23221875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
440.58659375 |
| transcript.pyannote[150].end |
441.76784375 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
441.97034375 |
| transcript.pyannote[151].end |
443.30346875 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
443.82659375 |
| transcript.pyannote[152].end |
446.47596875 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
447.35346875 |
| transcript.pyannote[153].end |
448.04534375 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
448.04534375 |
| transcript.pyannote[154].end |
448.06221875 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
448.06221875 |
| transcript.pyannote[155].end |
448.09596875 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
448.36596875 |
| transcript.pyannote[156].end |
449.68221875 |
| transcript.pyannote[157].speaker |
SPEAKER_01 |
| transcript.pyannote[157].start |
448.43346875 |
| transcript.pyannote[157].end |
449.58096875 |
| transcript.pyannote[158].speaker |
SPEAKER_01 |
| transcript.pyannote[158].start |
449.68221875 |
| transcript.pyannote[158].end |
449.91846875 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
449.91846875 |
| transcript.pyannote[159].end |
450.03659375 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
450.03659375 |
| transcript.pyannote[160].end |
450.05346875 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
450.05346875 |
| transcript.pyannote[161].end |
451.20096875 |
| transcript.pyannote[162].speaker |
SPEAKER_01 |
| transcript.pyannote[162].start |
450.08721875 |
| transcript.pyannote[162].end |
450.86346875 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
451.99409375 |
| transcript.pyannote[163].end |
460.44846875 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
461.20784375 |
| transcript.pyannote[164].end |
462.59159375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
463.06409375 |
| transcript.pyannote[165].end |
463.92471875 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
464.24534375 |
| transcript.pyannote[166].end |
464.71784375 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
465.59534375 |
| transcript.pyannote[167].end |
466.59096875 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
466.96221875 |
| transcript.pyannote[168].end |
468.07596875 |
| transcript.pyannote[169].speaker |
SPEAKER_01 |
| transcript.pyannote[169].start |
469.07159375 |
| transcript.pyannote[169].end |
470.99534375 |
| transcript.pyannote[170].speaker |
SPEAKER_01 |
| transcript.pyannote[170].start |
471.58596875 |
| transcript.pyannote[170].end |
471.68721875 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
471.68721875 |
| transcript.pyannote[171].end |
471.82221875 |
| transcript.pyannote[172].speaker |
SPEAKER_01 |
| transcript.pyannote[172].start |
471.95721875 |
| transcript.pyannote[172].end |
472.05846875 |
| transcript.whisperx[0].start |
11.035 |
| transcript.whisperx[0].end |
26.865 |
| transcript.whisperx[0].text |
謝謝主席有請這個衛福部的司部長司部長請賴委員好部長你好這個我記得賴清德總統在今年初有提到 |
| transcript.whisperx[1].start |
27.881 |
| transcript.whisperx[1].end |
41.659 |
| transcript.whisperx[1].text |
他說對醫院有存在不同工同酬他想要不同工不同酬這個事情使用衛護部怎麼做你怎麼因應呢 |
| transcript.whisperx[2].start |
43.161 |
| transcript.whisperx[2].end |
61.095 |
| transcript.whisperx[2].text |
這不同供不同的概念是這樣就是不同的處置之間以我們過去有個RVRVS就是說以一個基本的手術為標準然後看看投入的情形不同然後我們就有不同的支付標準所以這個是一種這個相對值的概念這不同供不同種 |
| transcript.whisperx[3].start |
61.955 |
| transcript.whisperx[3].end |
90.225 |
| transcript.whisperx[3].text |
這是總統的一個政策宣示你要落實啊你怎麼落實所以就要去調這個支付標準所以我們就先從當然這個很大支付標準幾千項所以我們就先從人力螺至現在在困難的急重症我們要留在醫院的優先去調整所以我們已經陸續調了不少個包含手術類的包含這個你大概這個因為賴總統的政策宣示你大概什麼時候可以調整完 |
| transcript.whisperx[4].start |
90.985 |
| transcript.whisperx[4].end |
113.815 |
| transcript.whisperx[4].text |
什麼時候這個會一直在調整這個沒有什麼叫調整這樣賴總統不滿意他講話講這麼大聲結果你都不落實會一直在落實當中譬如說像小兒科我們也調過一批了像去年我們是調這個新生兒跟重重度病房明年我們又編了小兒科又會繼續調你繼續弄第二個問題就是 |
| transcript.whisperx[5].start |
117.416 |
| transcript.whisperx[5].end |
145.516 |
| transcript.whisperx[5].text |
现在那个病床的我们不叫开工率了就真正使用率多少病床我们有一种叫做占床率占床率一种是叫做这个开床率使用率跟占床率有点不一样就是说我们有一个叫做许可床数许可床数但是真正开出来的那几成如果是以占床率来讲医学中心的占床率大概是近9成 |
| transcript.whisperx[6].start |
146.657 |
| transcript.whisperx[6].end |
159.384 |
| transcript.whisperx[6].text |
我記得大概只有八成而已不是嗎沒有沒有 近九成八十幾%近九成 占床率這裡面有一個很重要的原因是因為護理是不夠啊請問護理 念完護理真的做護理師的有幾個幾% |
| transcript.whisperx[7].start |
162.305 |
| transcript.whisperx[7].end |
184.79 |
| transcript.whisperx[7].text |
七成有沒有 七成都沒有啊取得護理執照的 就是有護理證書的有護理執照去從事護理的比例都高有直登的 直登率是差不多63%對啊 很低啊 你跟國外來比的話 你的稅稅高啊其實對護理師來講 我覺得普遍加薪啦 |
| transcript.whisperx[8].start |
185.615 |
| transcript.whisperx[8].end |
207.459 |
| transcript.whisperx[8].text |
有要給他普遍加薪啊有有有現在就是朝怎麼有呢沒有啊有有有你怎麼加我們一方面像這個我們調整的你可以全面的護理師不管他在什麼場合每個月加一萬要加在哪一個地方因為護理的我們算過啊只有大概兩百多億啊也不是很多啊 |
| transcript.whisperx[9].start |
208.68 |
| transcript.whisperx[9].end |
233.15 |
| transcript.whisperx[9].text |
對不對 每個人加一萬護理的工作性質其實還是蠻不一樣的樣態還是多啦有時候在ICU他有時候在一般的病床我們現在是已經今年現在就調整了這個護理費25億啦 四年會調100億太少了 一年25億一年要加一個零啦一年給他調250億還差不多勒25億太少啦 |
| transcript.whisperx[10].start |
237.411 |
| transcript.whisperx[10].end |
257.963 |
| transcript.whisperx[10].text |
這個我們有很多的措施還有這個夜班津貼我們也加了四十幾億然後再加338護病筆我們有六種不同的方案啦別忘了趙少康那時候選副總統他在講啦這個護理師每個月每人每月加一萬大家歡迎到哪裡 |
| transcript.whisperx[11].start |
259.344 |
| transcript.whisperx[11].end |
285.776 |
| transcript.whisperx[11].text |
你們就不敢落實他今天如果選上的話就落實啦跟你講我們要這個長期的來做啦我們各種不同的措施最後一個問題喔這個蘇丹紅怎麼會都進不掉啊怎麼會去年是食物的問題今年又是化妝品的問題到底是什麼蘇丹紅到底是什麼你們請問這個來源什麼地方境外輸入是不是對 境外輸入的這是從海外進來的從什麼地方 |
| transcript.whisperx[12].start |
287.077 |
| transcript.whisperx[12].end |
304.575 |
| transcript.whisperx[12].text |
這個是一個新加坡商不過來源的話要再查清楚它會不會是中國來的因為一開始爆發是在中國這個禁不掉 去年是食品對不對這個什麼辣椒粉 調味料 醬料等等的 |
| transcript.whisperx[13].start |
305.629 |
| transcript.whisperx[13].end |
332.589 |
| transcript.whisperx[13].text |
對不對對 他是把他摻成色素啦他把他當成色素濁色型這樣這個問題就很嚴重可是我們怎麼感覺你都進不了蘇丹紅永遠都很紅怎麼會這個樣子進不掉你們你現在看它是化妝品請問對食品有沒有要加上經驗食品之前已經查過一波了沒有問題沒有問題的食品已經查完了那現在是第一次發現用在化妝品上面 |
| transcript.whisperx[14].start |
333.493 |
| transcript.whisperx[14].end |
361.118 |
| transcript.whisperx[14].text |
好最後一個這個剛剛看到那個賴總統最新講話說要提1.25兆的特別預算要加強等等等等怎麼樣就是說要打仗了加強這個1.25兆我就請教你你們衛福部有沒有對說如果台灣發生戰爭如何維持正常的醫療體系運作 |
| transcript.whisperx[15].start |
363.168 |
| transcript.whisperx[15].end |
391.12 |
| transcript.whisperx[15].text |
有沒有我們大概也有對於緊急狀況下的韌性醫療那從這個醫療的三層級這個急救責任醫院社區急救站到全民互助那麼以及這個藥品的供應韌性我們都有相對應的我具體建議了賴總統提的1.25兆7年要花這麼多錢平均一年大概2000億 |
| transcript.whisperx[16].start |
392.645 |
| transcript.whisperx[16].end |
412.314 |
| transcript.whisperx[16].text |
外務部要去爭取一點經費啦怎麼樣能暫時能夠維持你一定的醫療韌性就醫療韌性要加進來對好你沒想過這個問題我們是目前已經有一個計畫不是不是 他現在一點懊悼你有沒有角色扮演啦我問你這個啦 |
| transcript.whisperx[17].start |
414.005 |
| transcript.whisperx[17].end |
425.535 |
| transcript.whisperx[17].text |
我們再進一步在行政院會你去爭取啊這個醫療打仗的時候醫療要正常運作啊醫療韌性 現在什麼都講韌性醫療韌性非常重要 對不對要給你錢啊要去爭取這筆預算1.25兆 7年1.25兆一年1800億左右很大一筆喔 |
| transcript.whisperx[18].start |
435.677 |
| transcript.whisperx[18].end |
446.317 |
| transcript.whisperx[18].text |
對不對 我們要這個衛務部要蓋一角啊這個要爭取一點 你這個打仗的時候這個護理師不能給他跑掉啊醫生不能給他跑掉啊 |
| transcript.whisperx[19].start |
447.401 |
| transcript.whisperx[19].end |
467.698 |
| transcript.whisperx[19].text |
你同意嗎你都沒有想過這個問題你都沒有想過這個問題我跟你講啦 那個錢都不知道怎麼用我跟你講你要尬一腳啊你要說我這個衛福部很重要啊這個機會他一定澳照提高醫療任性給護理師加薪這比什麼更好比你說的更好好 謝謝委員的提醒 |