| IVOD_ID |
168984 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168984 |
| 日期 |
2026-04-29 |
| 會議資料.會議代碼 |
委員會-11-5-26-8 |
| 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8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 |
8 |
| 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8次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-29T16:28:06+08:00 |
| 結束時間 |
2026-04-29T16:39:19+08:00 |
| 影片長度 |
00:11:13 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6301273cb2dfee847935e2d48248421784e55221ec8869c0f4adde2d2cfc6c0ff3b9796bc518a7b75ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
楊曜 |
| 委員發言時間 |
16:28:06 - 16:39:19 |
| 會議時間 |
2026-04-29T14:30:00+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8次全體委員會議（事由：（下午2時30分起。若上午議程尚未結束，待結束後接續召開）
一、繼續審查
(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。
......(因系統字數上限，詳見議事日程)
二、審查
(一)委員徐欣瑩等18人擬具「醫療法第二十一條條文修正草案」案。
(二)委員洪申翰、賴惠員等17人擬具「醫療法部分條文修正草案」案。
(三)委員盧縣一等16人擬具「醫療法第七十一條條文修正草案」案。
(四)委員鍾佳濱等19人擬具「醫療法第八十四條條文修正草案」案。
(五)委員王正旭等24人擬具「醫療法增訂第七十一條之一條文草案」案。
(六)台灣民眾黨黨團擬具「醫療法第一百零三條條文修正草案」案。
(七)委員郭昱晴等16人擬具「醫療法第一百零三條條文修正草案」案。
(八)委員盧縣一等17人擬具「醫療法第四十九條及第五十條條文修正草案」案。
(九)委員蘇巧慧等19人擬具「醫療法增訂第二十二條之一條文草案」案。
(十)委員賴惠員等20人擬具「醫療法第八十四條及第一百零四條條文修正草案」案。
(十一)委員李彥秀等16人擬具「醫療法部分條文修正草案」案。
(十二)委員陳瑩等16人擬具「醫療法第八十八條條文修正草案」案。
(十三)委員劉建國等18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)委員劉建國等16人擬具「醫療法第四十九條及第五十條條文修正草案」案。
(十五)委員邱鎮軍等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。
(十六)委員劉建國等16人擬具「醫療法增訂第九十八條之一條文草案」案。
(十七)委員林思銘等23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。
(十八)委員羅智強等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。
(十九)委員張嘉郡等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。
(二十)委員蘇清泉等22人擬具「醫療法部分條文修正草案」案。
(二十一)委員羅明才等16人擬具「醫療法第十條、第二十四條及第一百零六條條文修正草案」案。
(二十二)台灣民眾黨黨團擬具「醫療法第二十四條及第一百零六條條文修正草案」案。
(二十三)委員許宇甄等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。
(二十四)委員廖偉翔等19人擬具「醫療法第一百零二條條文修正草案」案。
【第二(二十四)案，如未經各黨團簽署不復議同意書，則不予審查】
【僅詢答，下午1時30分起辦理發言】
【4月29日上午9時起及下午2時30分起為一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
7.35471875 |
| transcript.pyannote[0].end |
9.32909375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
9.53159375 |
| transcript.pyannote[1].end |
9.85221875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
9.97034375 |
| transcript.pyannote[2].end |
10.78034375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
12.16409375 |
| transcript.pyannote[3].end |
12.56909375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
14.72909375 |
| transcript.pyannote[4].end |
15.80909375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
16.41659375 |
| transcript.pyannote[5].end |
18.52596875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
19.33596875 |
| transcript.pyannote[6].end |
20.36534375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
20.97284375 |
| transcript.pyannote[7].end |
23.47034375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
23.84159375 |
| transcript.pyannote[8].end |
24.61784375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
25.32659375 |
| transcript.pyannote[9].end |
28.51596875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
29.64659375 |
| transcript.pyannote[10].end |
43.23096875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
38.82659375 |
| transcript.pyannote[11].end |
39.24846875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
42.70784375 |
| transcript.pyannote[12].end |
46.50471875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
46.50471875 |
| transcript.pyannote[13].end |
57.79409375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
46.92659375 |
| transcript.pyannote[14].end |
47.06159375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
58.67159375 |
| transcript.pyannote[15].end |
71.54721875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
66.28221875 |
| transcript.pyannote[16].end |
66.48471875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
72.61034375 |
| transcript.pyannote[17].end |
73.20096875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
73.87596875 |
| transcript.pyannote[18].end |
81.90846875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
74.19659375 |
| transcript.pyannote[19].end |
75.58034375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
82.17846875 |
| transcript.pyannote[20].end |
85.75596875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
86.98784375 |
| transcript.pyannote[21].end |
102.68159375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
93.88971875 |
| transcript.pyannote[22].end |
94.27784375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
102.68159375 |
| transcript.pyannote[23].end |
144.88596875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
111.16971875 |
| transcript.pyannote[24].end |
111.81096875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
145.54409375 |
| transcript.pyannote[25].end |
153.50909375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
153.50909375 |
| transcript.pyannote[26].end |
154.09971875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
154.72409375 |
| transcript.pyannote[27].end |
156.20909375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
156.98534375 |
| transcript.pyannote[28].end |
166.33409375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
166.85721875 |
| transcript.pyannote[29].end |
168.62909375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
169.23659375 |
| transcript.pyannote[30].end |
172.20659375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
171.73409375 |
| transcript.pyannote[31].end |
171.97034375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
172.34159375 |
| transcript.pyannote[32].end |
172.45971875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
173.47221875 |
| transcript.pyannote[33].end |
174.38346875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
175.04159375 |
| transcript.pyannote[34].end |
190.31346875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
186.06096875 |
| transcript.pyannote[35].end |
186.39846875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
190.43159375 |
| transcript.pyannote[36].end |
190.90409375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
190.73534375 |
| transcript.pyannote[37].end |
191.29221875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
192.59159375 |
| transcript.pyannote[38].end |
196.59096875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
196.87784375 |
| transcript.pyannote[39].end |
197.24909375 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
198.61596875 |
| transcript.pyannote[40].end |
206.88471875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
206.83409375 |
| transcript.pyannote[41].end |
207.22221875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
207.52596875 |
| transcript.pyannote[42].end |
216.58784375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
216.75659375 |
| transcript.pyannote[43].end |
219.91221875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
217.21221875 |
| transcript.pyannote[44].end |
217.26284375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
220.16534375 |
| transcript.pyannote[45].end |
223.50659375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
223.72596875 |
| transcript.pyannote[46].end |
226.32471875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
226.76346875 |
| transcript.pyannote[47].end |
228.18096875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
228.28221875 |
| transcript.pyannote[48].end |
228.68721875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
228.92346875 |
| transcript.pyannote[49].end |
230.17221875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
230.62784375 |
| transcript.pyannote[50].end |
234.96471875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
235.42034375 |
| transcript.pyannote[51].end |
238.08659375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
238.08659375 |
| transcript.pyannote[52].end |
238.12034375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
238.12034375 |
| transcript.pyannote[53].end |
238.13721875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
238.13721875 |
| transcript.pyannote[54].end |
249.89909375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
250.64159375 |
| transcript.pyannote[55].end |
266.23409375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
266.57159375 |
| transcript.pyannote[56].end |
350.17034375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
295.44471875 |
| transcript.pyannote[57].end |
298.65096875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
299.24159375 |
| transcript.pyannote[58].end |
299.32596875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
299.34284375 |
| transcript.pyannote[59].end |
299.51159375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
328.65471875 |
| transcript.pyannote[60].end |
328.92471875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
350.40659375 |
| transcript.pyannote[61].end |
364.46346875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
359.55284375 |
| transcript.pyannote[62].end |
361.15596875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
363.04596875 |
| transcript.pyannote[63].end |
363.16409375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
363.63659375 |
| transcript.pyannote[64].end |
364.04159375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
364.09221875 |
| transcript.pyannote[65].end |
368.15909375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
368.00721875 |
| transcript.pyannote[66].end |
368.49659375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
368.66534375 |
| transcript.pyannote[67].end |
370.82534375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
371.36534375 |
| transcript.pyannote[68].end |
376.41096875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
376.84971875 |
| transcript.pyannote[69].end |
393.13409375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
393.13409375 |
| transcript.pyannote[70].end |
415.62846875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
396.42471875 |
| transcript.pyannote[71].end |
396.50909375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
399.05721875 |
| transcript.pyannote[72].end |
399.61409375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
401.26784375 |
| transcript.pyannote[73].end |
402.04409375 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
406.24596875 |
| transcript.pyannote[74].end |
406.56659375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
413.95784375 |
| transcript.pyannote[75].end |
429.95534375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
427.59284375 |
| transcript.pyannote[76].end |
428.41971875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
432.09846875 |
| transcript.pyannote[77].end |
435.99659375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
436.13159375 |
| transcript.pyannote[78].end |
445.64909375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
445.85159375 |
| transcript.pyannote[79].end |
447.69096875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
447.94409375 |
| transcript.pyannote[80].end |
449.83409375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
450.40784375 |
| transcript.pyannote[81].end |
480.79971875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
456.98909375 |
| transcript.pyannote[82].end |
457.03971875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
457.09034375 |
| transcript.pyannote[83].end |
457.25909375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
459.68909375 |
| transcript.pyannote[84].end |
460.06034375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
461.79846875 |
| transcript.pyannote[85].end |
462.22034375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
469.51034375 |
| transcript.pyannote[86].end |
474.55596875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
474.87659375 |
| transcript.pyannote[87].end |
475.36596875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
481.32284375 |
| transcript.pyannote[88].end |
484.59659375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
486.97596875 |
| transcript.pyannote[89].end |
487.78596875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
488.00534375 |
| transcript.pyannote[90].end |
491.26221875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
492.10596875 |
| transcript.pyannote[91].end |
501.65721875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
501.99471875 |
| transcript.pyannote[92].end |
507.61409375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
507.10784375 |
| transcript.pyannote[93].end |
509.11596875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
509.04846875 |
| transcript.pyannote[94].end |
511.32659375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
511.56284375 |
| transcript.pyannote[95].end |
513.31784375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
513.45284375 |
| transcript.pyannote[96].end |
513.72284375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
513.90846875 |
| transcript.pyannote[97].end |
517.16534375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
517.77284375 |
| transcript.pyannote[98].end |
518.38034375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
518.80221875 |
| transcript.pyannote[99].end |
522.44721875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
522.81846875 |
| transcript.pyannote[100].end |
531.61034375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
531.82971875 |
| transcript.pyannote[101].end |
536.62221875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
537.39846875 |
| transcript.pyannote[102].end |
538.37721875 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
538.73159375 |
| transcript.pyannote[103].end |
539.65971875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
540.14909375 |
| transcript.pyannote[104].end |
547.37159375 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
547.77659375 |
| transcript.pyannote[105].end |
548.55284375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
548.99159375 |
| transcript.pyannote[106].end |
552.21471875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
552.53534375 |
| transcript.pyannote[107].end |
553.68284375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
554.94846875 |
| transcript.pyannote[108].end |
561.73221875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
562.17096875 |
| transcript.pyannote[109].end |
564.78659375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
565.37721875 |
| transcript.pyannote[110].end |
566.13659375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
566.47409375 |
| transcript.pyannote[111].end |
567.94221875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
568.56659375 |
| transcript.pyannote[112].end |
568.70159375 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
568.83659375 |
| transcript.pyannote[113].end |
570.11909375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
569.27534375 |
| transcript.pyannote[114].end |
602.36721875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
570.55784375 |
| transcript.pyannote[115].end |
571.31721875 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
595.85346875 |
| transcript.pyannote[116].end |
596.00534375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
602.36721875 |
| transcript.pyannote[117].end |
602.85659375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
602.85659375 |
| transcript.pyannote[118].end |
603.97034375 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
603.97034375 |
| transcript.pyannote[119].end |
615.29346875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
615.29346875 |
| transcript.pyannote[120].end |
615.46221875 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
615.46221875 |
| transcript.pyannote[121].end |
615.61409375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
615.61409375 |
| transcript.pyannote[122].end |
618.31409375 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
615.76596875 |
| transcript.pyannote[123].end |
621.53721875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
619.95096875 |
| transcript.pyannote[124].end |
625.87409375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
625.87409375 |
| transcript.pyannote[125].end |
626.02596875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
625.99221875 |
| transcript.pyannote[126].end |
627.86534375 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
627.96659375 |
| transcript.pyannote[127].end |
639.89721875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
630.36284375 |
| transcript.pyannote[128].end |
630.59909375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
631.94909375 |
| transcript.pyannote[129].end |
635.61096875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
640.58909375 |
| transcript.pyannote[130].end |
658.71284375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
652.67159375 |
| transcript.pyannote[131].end |
653.54909375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
657.39659375 |
| transcript.pyannote[132].end |
657.44721875 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
657.78471875 |
| transcript.pyannote[133].end |
659.52284375 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
659.06721875 |
| transcript.pyannote[134].end |
672.80346875 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
662.86409375 |
| transcript.pyannote[135].end |
663.60659375 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
667.47096875 |
| transcript.pyannote[136].end |
667.99409375 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
671.01471875 |
| transcript.pyannote[137].end |
671.50409375 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
673.14096875 |
| transcript.pyannote[138].end |
674.54159375 |
| transcript.whisperx[0].start |
7.572 |
| transcript.whisperx[0].end |
27.534 |
| transcript.whisperx[0].text |
謝謝主席 主席請到市部長有請市部長兩位也好 部長好部長我們還是先討論一下護理師的人力問題就是我先這樣子講就是 |
| transcript.whisperx[1].start |
31.267 |
| transcript.whisperx[1].end |
56.214 |
| transcript.whisperx[1].text |
經過衛福部的努力呢去年的護理人力比今年的護理人力比去年增加了大概職業的人數增加4000多人3月份的話是照去年大概增加4900位對 這個要給你們一個大大的鼓勵因為這某一個角度來看就是 |
| transcript.whisperx[2].start |
58.755 |
| transcript.whisperx[2].end |
69.722 |
| transcript.whisperx[2].text |
待遇提高然後可能工作環境也改善這個是需要需要花很大的心力的去達成的事情跟你們 |
| transcript.whisperx[3].start |
72.697 |
| transcript.whisperx[3].end |
89.989 |
| transcript.whisperx[3].text |
致謝可是還是有一些問題我們必須要去解決第一個就是說三班互併筆的獎勵我們現在有聽到基層實際領到的獎金過少我想要請教一下對於三班互併筆的獎勵運用你們有沒有什麼想法 |
| transcript.whisperx[4].start |
103.017 |
| transcript.whisperx[4].end |
120.189 |
| transcript.whisperx[4].text |
跟委員說我們大概一年發放的這個三班互併比的獎勵已經大概在16、7億左右啦一年大概16、7億在發那但是發的方式齁它是根據你的這個住院天數去乘以一個百分比啦 |
| transcript.whisperx[5].start |
120.729 |
| transcript.whisperx[5].end |
144.452 |
| transcript.whisperx[5].text |
那但是因為我特別去看了這些說拿到很少的到底發生什麼問題就是因為醫院規模很少都10床以下他收的病人又很少所以分下去的那個一樣的百分比2% 3%就非常非常少主要是在這個問題所以我們今年會去調整像這種其實他的這個住院量很低的其實他也沒有什麼 |
| transcript.whisperx[6].start |
145.592 |
| transcript.whisperx[6].end |
171.177 |
| transcript.whisperx[6].text |
很大的loading啦那其實可以不用所以我們把資源放在loading比較重的就是部長大概知道問題在哪裡那也有解決的方向那我們總是希望一個政策到落實必須要讓我們政策目標的對象有感 |
| transcript.whisperx[7].start |
175.134 |
| transcript.whisperx[7].end |
196.328 |
| transcript.whisperx[7].text |
政府長期在推動健康台灣生根計畫可是有很多公立醫院的公職護理師因為公務人員身份所以在現行的制度下有很多獎勵金其實他是沒有辦法領的然後公職護理師55歲就可以辦理退休 |
| transcript.whisperx[8].start |
198.692 |
| transcript.whisperx[8].end |
223.226 |
| transcript.whisperx[8].text |
所以會有很多原本在公家醫院像譬如說離島偏鄉可能多數都是公立醫院比較多那他們可能會選擇在55歲先退休然後再轉去其他的私人醫院請教一下部長就是說我們有沒有辦法有什麼制度可以 |
| transcript.whisperx[9].start |
223.846 |
| transcript.whisperx[9].end |
249.524 |
| transcript.whisperx[9].text |
因為這些人都是對於職場熟悉然後經驗豐富的資深護理師我們有沒有什麼制度或構想可以去留住他們好 跟委員說我們公立醫院裡面大概有兩類的人員一種是具公職身份一種是約聘顧這樣那公職身份他的薪資的 |
| transcript.whisperx[10].start |
251.538 |
| transcript.whisperx[10].end |
265.715 |
| transcript.whisperx[10].text |
這個結構是比較受限就是按照它的縫點等升級這個來擠那麼如果是月聘僱的話呢它的薪資就比較彈性那所以像我們有一些這個補助款下去的時候那麼 |
| transcript.whisperx[11].start |
266.896 |
| transcript.whisperx[11].end |
290.632 |
| transcript.whisperx[11].text |
對於這些公職身份者是沒有辦法直接用加薪的方式現在大家都在加薪加薪這個在一般約聘那個是OK但是這個公職身份的是不是隨便加薪我們是隨著各所有的公務人員每年加薪幾%就是幾%不是因為你醫院有盈餘就可以加他的薪但是呢他是可以用績效獎勵金的方式下去 |
| transcript.whisperx[12].start |
291.372 |
| transcript.whisperx[12].end |
319.499 |
| transcript.whisperx[12].text |
但是因為績效獎勵金的發放呢各個體系的規定又不一樣不理醫院的分配方式那麼退府醫院有退府醫院的分配方式軍方醫院也有軍方所以這個可能要回到各主管機關我們去溝通希望他能夠給這些第一線的人員那麼有相對應的應該的回饋至於說那個退休規定那個是過去因為有這個所謂的危老 |
| transcript.whisperx[13].start |
320.459 |
| transcript.whisperx[13].end |
349.599 |
| transcript.whisperx[13].text |
危老他就會有55歲他就可以提早這個我們一般的那個退休年齡是要60歲以後才可以自願退休所以55歲他就可以自願退休60歲就是強制退休這個是危老那目前在醫院裡面的危老大概就是理護理人員不擔任這個這個主管的這一類的是為主是不是要把他延後我們要研究看看因為說實在話現況就是如果他 |
| transcript.whisperx[14].start |
350.579 |
| transcript.whisperx[14].end |
364.905 |
| transcript.whisperx[14].text |
到了這個可以退休的時候他經常都是如果他有意願繼續從事護理工作他可能退休之後是到私人醫院去那並不是真的流失在我們整個護理職場我聽部長這樣子講就是提一個建議就是當然 |
| transcript.whisperx[15].start |
371.608 |
| transcript.whisperx[15].end |
396.4 |
| transcript.whisperx[15].text |
國家的公務體系的薪資制度是比較石板的那涉及醫療專業有沒有辦法有一個比較有彈性的這個是不是我們應該跟人事總署跟全序部來做個溝通委員的建議很好因為我們另外還有一些是加級的部分 |
| transcript.whisperx[16].start |
396.88 |
| transcript.whisperx[16].end |
416.554 |
| transcript.whisperx[16].text |
加級就可以按照各類人員的不同像法治人員有法治加級我們在公務機關的衛福部這邊有衛生加級所以讓在醫院裡面不同的工作性質的人是不是也有不同的加級這個我們來研究因為確實有需求 |
| transcript.whisperx[17].start |
417.315 |
| transcript.whisperx[17].end |
427.739 |
| transcript.whisperx[17].text |
因為我們一方面因為時間的關係所以我看剛剛部長也已經有限制了就是三班互併筆入法的問題除了 |
| transcript.whisperx[18].start |
432.245 |
| transcript.whisperx[18].end |
449.426 |
| transcript.whisperx[18].text |
施政呢必須要顧及各方的權益三班互併比入閥當然讓醫護人員有一個更妥適的工作環境那其實也在保障病患可是呢人力假如不足 |
| transcript.whisperx[19].start |
450.907 |
| transcript.whisperx[19].end |
471.497 |
| transcript.whisperx[19].text |
又遇到台灣高齡化的速度那麼快病患一定會增加嘛所以這個怎麼去權衡這個確實是需要一點時間啦我看部長好像已經有先是先不入法啦先從你們的行政規則當中來做討論這個也好啦就是事緩則原嘛不過還是必須要一步一步走 |
| transcript.whisperx[20].start |
479.961 |
| transcript.whisperx[20].end |
489.976 |
| transcript.whisperx[20].text |
我最後講一個因為事情的關係我最後問一個問題就是不 衛福部衛福部在去年六月大概有 |
| transcript.whisperx[21].start |
492.225 |
| transcript.whisperx[21].end |
516.364 |
| transcript.whisperx[21].text |
是不是媒體報導的說衛福部將攜手財政部研議修改醫院醫師所得稅制不論公司利益醫院的醫師加班費免稅這個有沒有有在進行那我對這個有一點提醒跟部長做個建議 |
| transcript.whisperx[22].start |
517.885 |
| transcript.whisperx[22].end |
529.488 |
| transcript.whisperx[22].text |
就是說,複稅公平組原則,這個是基於憲法的平等原則來的。也就是說,按照經濟的負擔能力來負擔一定的稅捐。 |
| transcript.whisperx[23].start |
537.472 |
| transcript.whisperx[23].end |
551.045 |
| transcript.whisperx[23].text |
我了解衛福部理解衛福部希望能夠讓醫護人員的整體收入增加的苦心可是我要提醒你們就是從減稅 |
| transcript.whisperx[24].start |
555.357 |
| transcript.whisperx[24].end |
564.22 |
| transcript.whisperx[24].text |
有幾個第一個就是違反了剛才的覆水公平原則第二個可能大家也會覺得說為什麼只有醫師 |
| transcript.whisperx[25].start |
569.258 |
| transcript.whisperx[25].end |
595.011 |
| transcript.whisperx[25].text |
免稅啦我跟委員說明齁我完全同意要付稅公平正義那正是因為如此我們才推動這個這個方案為什麼呢因為按照所得稅法14條加班費是免稅的那所以勞基法的適用人員他一個月都有46個小時的加班是免稅他的加班費是免稅但是因為醫師沒有納入勞基法的關係所以他就完全沒有適用這個 |
| transcript.whisperx[26].start |
595.771 |
| transcript.whisperx[26].end |
623.365 |
| transcript.whisperx[26].text |
所以他的加班的所得也都完全課稅所以這個反而是付稅的不公平這個部長做這個說明就很好因為我在看質詢資料的時候我也就覺得加班費免稅看起來就覺得怪怪的這個是所得稅法14條裡面就有它本身不是用勞基法所以反而沒有那個加班費免稅的適用 |
| transcript.whisperx[27].start |
624.707 |
| transcript.whisperx[27].end |
635.021 |
| transcript.whisperx[27].text |
這樣反而是不公平我們只是讓他回到公平那我知道 就加班費的部分對 加班費而已不是什麼減稅 是加班費因為我還是覺得改善 |
| transcript.whisperx[28].start |
640.643 |
| transcript.whisperx[28].end |
661.553 |
| transcript.whisperx[28].text |
工作條件的方式很多提高收入的面向也很多總是必須要在憲法的平等原則底下來來做部長剛剛的說明就算我們一定會按照委員的提醒本席受教了 |
| transcript.whisperx[29].start |
662.173 |
| transcript.whisperx[29].end |
664.178 |
| transcript.whisperx[29].text |
因為勞工確實是加班費是免稅的謝謝部長 謝謝主席謝謝委員的指教 謝謝謝謝楊耀文委員的質詢 |