IVOD_ID |
159175 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159175 |
日期 |
2025-03-13 |
會議資料.會議代碼 |
委員會-11-3-26-2 |
會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第2次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
2 |
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3會期社會福利及衛生環境委員會第2次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-13T13:32:03+08:00 |
結束時間 |
2025-03-13T13:39:48+08:00 |
影片長度 |
00:07:45 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3b972b8f6f00770f67214dc63f187ac40aae3c1a04a00b1b75917ee1f59655e592d0a82c07ca83cd5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
13:32:03 - 13:39:48 |
會議時間 |
2025-03-13T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第2次全體委員會議(事由:邀請衛生福利部部長就「有關全國急重症醫療量能」進行專題報告,並備質詢。
【如遇加開院會本次會議取消,不再另行通知】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
7.40534375 |
transcript.pyannote[0].end |
7.75971875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
12.77159375 |
transcript.pyannote[1].end |
13.51409375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
19.18409375 |
transcript.pyannote[2].end |
22.05284375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
22.12034375 |
transcript.pyannote[3].end |
23.40284375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
24.33096875 |
transcript.pyannote[4].end |
25.73159375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
26.05221875 |
transcript.pyannote[5].end |
26.06909375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
26.06909375 |
transcript.pyannote[6].end |
26.08596875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
26.08596875 |
transcript.pyannote[7].end |
26.10284375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
26.10284375 |
transcript.pyannote[8].end |
26.13659375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
26.13659375 |
transcript.pyannote[9].end |
26.17034375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
26.17034375 |
transcript.pyannote[10].end |
26.20409375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
26.20409375 |
transcript.pyannote[11].end |
26.37284375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
26.72721875 |
transcript.pyannote[12].end |
29.73096875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
29.89971875 |
transcript.pyannote[13].end |
30.37221875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
30.81096875 |
transcript.pyannote[14].end |
34.52346875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
34.82721875 |
transcript.pyannote[15].end |
35.28284375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
35.60346875 |
transcript.pyannote[16].end |
36.36284375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
37.54409375 |
transcript.pyannote[17].end |
40.58159375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
41.69534375 |
transcript.pyannote[18].end |
44.22659375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
44.91846875 |
transcript.pyannote[19].end |
46.09971875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
46.97721875 |
transcript.pyannote[20].end |
48.22596875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
49.96409375 |
transcript.pyannote[21].end |
51.92159375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
52.84971875 |
transcript.pyannote[22].end |
55.33034375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
56.83221875 |
transcript.pyannote[23].end |
57.64221875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
58.01346875 |
transcript.pyannote[24].end |
58.77284375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
59.26221875 |
transcript.pyannote[25].end |
66.58596875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
67.42971875 |
transcript.pyannote[26].end |
68.18909375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
69.11721875 |
transcript.pyannote[27].end |
69.74159375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
71.34471875 |
transcript.pyannote[28].end |
72.37409375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
73.74096875 |
transcript.pyannote[29].end |
75.93471875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
76.98096875 |
transcript.pyannote[30].end |
77.82471875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
78.11159375 |
transcript.pyannote[31].end |
78.65159375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
78.95534375 |
transcript.pyannote[32].end |
81.11534375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
82.24596875 |
transcript.pyannote[33].end |
82.98846875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
84.45659375 |
transcript.pyannote[34].end |
85.09784375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
86.02596875 |
transcript.pyannote[35].end |
89.45159375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
91.00409375 |
transcript.pyannote[36].end |
91.78034375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
92.20221875 |
transcript.pyannote[37].end |
93.61971875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
94.15971875 |
transcript.pyannote[38].end |
95.49284375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
96.79221875 |
transcript.pyannote[39].end |
97.60221875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
98.88471875 |
transcript.pyannote[40].end |
101.82096875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
102.37784375 |
transcript.pyannote[41].end |
103.12034375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
104.30159375 |
transcript.pyannote[42].end |
105.21284375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
106.07346875 |
transcript.pyannote[43].end |
107.81159375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
108.94221875 |
transcript.pyannote[44].end |
111.84471875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
113.54909375 |
transcript.pyannote[45].end |
114.37596875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
115.01721875 |
transcript.pyannote[46].end |
116.60346875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
117.12659375 |
transcript.pyannote[47].end |
118.59471875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
119.70846875 |
transcript.pyannote[48].end |
122.86409375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
123.20159375 |
transcript.pyannote[49].end |
123.94409375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
125.12534375 |
transcript.pyannote[50].end |
127.36971875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
127.79159375 |
transcript.pyannote[51].end |
130.49159375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
131.38596875 |
transcript.pyannote[52].end |
132.71909375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
134.89596875 |
transcript.pyannote[53].end |
135.41909375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
135.68909375 |
transcript.pyannote[54].end |
137.00534375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
137.24159375 |
transcript.pyannote[55].end |
139.70534375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
142.23659375 |
transcript.pyannote[56].end |
143.70471875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
144.95346875 |
transcript.pyannote[57].end |
145.78034375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
146.26971875 |
transcript.pyannote[58].end |
147.24846875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
148.76721875 |
transcript.pyannote[59].end |
150.97784375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
152.41221875 |
transcript.pyannote[60].end |
153.81284375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
154.53846875 |
transcript.pyannote[61].end |
157.06971875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
157.96409375 |
transcript.pyannote[62].end |
159.19596875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
160.10721875 |
transcript.pyannote[63].end |
160.79909375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
161.69346875 |
transcript.pyannote[64].end |
162.92534375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
164.05596875 |
transcript.pyannote[65].end |
166.45221875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
166.94159375 |
transcript.pyannote[66].end |
169.13534375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
169.48971875 |
transcript.pyannote[67].end |
171.14346875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
172.07159375 |
transcript.pyannote[68].end |
173.42159375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
175.36221875 |
transcript.pyannote[69].end |
177.65721875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
178.02846875 |
transcript.pyannote[70].end |
179.63159375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
180.84659375 |
transcript.pyannote[71].end |
182.63534375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
183.47909375 |
transcript.pyannote[72].end |
184.45784375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
185.36909375 |
transcript.pyannote[73].end |
185.70659375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
187.02284375 |
transcript.pyannote[74].end |
189.72284375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
193.99221875 |
transcript.pyannote[75].end |
194.97096875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
195.91596875 |
transcript.pyannote[76].end |
198.29534375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
198.91971875 |
transcript.pyannote[77].end |
199.56096875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
200.64096875 |
transcript.pyannote[78].end |
204.77534375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
205.19721875 |
transcript.pyannote[79].end |
205.77096875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
206.98596875 |
transcript.pyannote[80].end |
208.30221875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
208.85909375 |
transcript.pyannote[81].end |
209.55096875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
209.98971875 |
transcript.pyannote[82].end |
211.76159375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
212.06534375 |
transcript.pyannote[83].end |
213.14534375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
213.61784375 |
transcript.pyannote[84].end |
214.49534375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
217.66784375 |
transcript.pyannote[85].end |
219.03471875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
221.04284375 |
transcript.pyannote[86].end |
229.07534375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
229.98659375 |
transcript.pyannote[87].end |
232.53471875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
232.93971875 |
transcript.pyannote[88].end |
233.49659375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
234.15471875 |
transcript.pyannote[89].end |
234.72846875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
235.45409375 |
transcript.pyannote[90].end |
237.10784375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
237.54659375 |
transcript.pyannote[91].end |
238.54221875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
240.53346875 |
transcript.pyannote[92].end |
243.08159375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
244.38096875 |
transcript.pyannote[93].end |
245.24159375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
245.73096875 |
transcript.pyannote[94].end |
246.76034375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
247.82346875 |
transcript.pyannote[95].end |
250.38846875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
251.60346875 |
transcript.pyannote[96].end |
254.33721875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
254.42159375 |
transcript.pyannote[97].end |
257.17221875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
257.69534375 |
transcript.pyannote[98].end |
260.76659375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
260.96909375 |
transcript.pyannote[99].end |
264.44534375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
265.59284375 |
transcript.pyannote[100].end |
265.91346875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
266.38596875 |
transcript.pyannote[101].end |
266.72346875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
268.34346875 |
transcript.pyannote[102].end |
269.49096875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
269.94659375 |
transcript.pyannote[103].end |
271.33034375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
272.00534375 |
transcript.pyannote[104].end |
274.57034375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
275.36346875 |
transcript.pyannote[105].end |
277.28721875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
279.44721875 |
transcript.pyannote[106].end |
281.86034375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
282.21471875 |
transcript.pyannote[107].end |
284.10471875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
284.71221875 |
transcript.pyannote[108].end |
286.53471875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
286.78784375 |
transcript.pyannote[109].end |
286.82159375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
287.46284375 |
transcript.pyannote[110].end |
288.08721875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
288.61034375 |
transcript.pyannote[111].end |
293.45346875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
293.92596875 |
transcript.pyannote[112].end |
299.00534375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
297.35159375 |
transcript.pyannote[113].end |
297.52034375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
299.37659375 |
transcript.pyannote[114].end |
303.08909375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
301.30034375 |
transcript.pyannote[115].end |
301.48596875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
301.70534375 |
transcript.pyannote[116].end |
302.58284375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
303.64596875 |
transcript.pyannote[117].end |
305.02971875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
303.84846875 |
transcript.pyannote[118].end |
304.16909375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
305.68784375 |
transcript.pyannote[119].end |
309.36659375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
307.94909375 |
transcript.pyannote[120].end |
308.37096875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
310.17659375 |
transcript.pyannote[121].end |
310.95284375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
311.44221875 |
transcript.pyannote[122].end |
312.58971875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
313.60221875 |
transcript.pyannote[123].end |
319.15409375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
320.28471875 |
transcript.pyannote[124].end |
326.61284375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
321.68534375 |
transcript.pyannote[125].end |
322.05659375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
322.54596875 |
transcript.pyannote[126].end |
322.93409375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
323.35596875 |
transcript.pyannote[127].end |
325.61721875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
326.22471875 |
transcript.pyannote[128].end |
326.47784375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
327.11909375 |
transcript.pyannote[129].end |
330.84846875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
330.62909375 |
transcript.pyannote[130].end |
332.82284375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
332.82284375 |
transcript.pyannote[131].end |
336.95721875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
333.10971875 |
transcript.pyannote[132].end |
333.36284375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
334.20659375 |
transcript.pyannote[133].end |
335.45534375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
336.95721875 |
transcript.pyannote[134].end |
337.75034375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
337.63221875 |
transcript.pyannote[135].end |
338.18909375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
338.66159375 |
transcript.pyannote[136].end |
340.02846875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
339.82596875 |
transcript.pyannote[137].end |
345.79971875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
342.96471875 |
transcript.pyannote[138].end |
343.16721875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
344.02784375 |
transcript.pyannote[139].end |
349.05659375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
350.28846875 |
transcript.pyannote[140].end |
350.99721875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
351.40221875 |
transcript.pyannote[141].end |
353.76471875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
355.04721875 |
transcript.pyannote[142].end |
357.03846875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
357.30846875 |
transcript.pyannote[143].end |
358.32096875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
360.83534375 |
transcript.pyannote[144].end |
367.87221875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
363.23159375 |
transcript.pyannote[145].end |
366.06659375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
367.93971875 |
transcript.pyannote[146].end |
368.31096875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
368.83409375 |
transcript.pyannote[147].end |
369.17159375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
369.71159375 |
transcript.pyannote[148].end |
373.82909375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
374.25096875 |
transcript.pyannote[149].end |
383.14409375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
375.58409375 |
transcript.pyannote[150].end |
375.98909375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
383.26221875 |
transcript.pyannote[151].end |
384.13971875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
384.73034375 |
transcript.pyannote[152].end |
387.98721875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
388.34159375 |
transcript.pyannote[153].end |
390.68721875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
391.37909375 |
transcript.pyannote[154].end |
392.10471875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
392.86409375 |
transcript.pyannote[155].end |
395.71596875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
395.95221875 |
transcript.pyannote[156].end |
398.17971875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
399.47909375 |
transcript.pyannote[157].end |
400.49159375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
400.86284375 |
transcript.pyannote[158].end |
406.21221875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
406.21221875 |
transcript.pyannote[159].end |
406.22909375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
406.22909375 |
transcript.pyannote[160].end |
406.27971875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
406.27971875 |
transcript.pyannote[161].end |
408.15284375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
408.15284375 |
transcript.pyannote[162].end |
422.80034375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
410.11034375 |
transcript.pyannote[163].end |
410.54909375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
413.97471875 |
transcript.pyannote[164].end |
415.37534375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
418.91909375 |
transcript.pyannote[165].end |
420.23534375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
421.93971875 |
transcript.pyannote[166].end |
422.22659375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
423.39096875 |
transcript.pyannote[167].end |
430.76534375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
425.02784375 |
transcript.pyannote[168].end |
425.97284375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
430.76534375 |
transcript.pyannote[169].end |
431.08596875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
431.27159375 |
transcript.pyannote[170].end |
435.59159375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
435.69284375 |
transcript.pyannote[171].end |
436.08096875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
436.08096875 |
transcript.pyannote[172].end |
438.32534375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
438.98346875 |
transcript.pyannote[173].end |
442.20659375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
442.74659375 |
transcript.pyannote[174].end |
450.67784375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
446.45909375 |
transcript.pyannote[175].end |
446.49284375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
448.23096875 |
transcript.pyannote[176].end |
448.61909375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
450.67784375 |
transcript.pyannote[177].end |
451.97721875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
451.69034375 |
transcript.pyannote[178].end |
453.02346875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
453.32721875 |
transcript.pyannote[179].end |
454.08659375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
453.83346875 |
transcript.pyannote[180].end |
454.66034375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
454.66034375 |
transcript.pyannote[181].end |
454.71096875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
454.71096875 |
transcript.pyannote[182].end |
460.09409375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
457.12409375 |
transcript.pyannote[183].end |
457.73159375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
458.91284375 |
transcript.pyannote[184].end |
458.99721875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
459.72284375 |
transcript.pyannote[185].end |
462.18659375 |
transcript.whisperx[0].start |
27.18 |
transcript.whisperx[0].end |
35.843 |
transcript.whisperx[0].text |
我今天要談一件很讓人家心疼也是捨不得的事情我們希望一起來補破網不要讓 |
transcript.whisperx[1].start |
37.66 |
transcript.whisperx[1].end |
65.108 |
transcript.whisperx[1].text |
失去親人的人傷口一直被掀開不要有造成二度傷害跟三度的傷害最近有一位傷心的媽媽一個貼文引起非常大的一個迴響她講她的處境下面很多留言說我碰到的狀況跟你非常的類似我們看一下這個媽媽的貼文是這樣講的 |
transcript.whisperx[2].start |
67.466 |
transcript.whisperx[2].end |
87.598 |
transcript.whisperx[2].text |
他講說剛剛衛生所來電請問說是我嗎?他說對然後他提說恭喜你們家小朋友滿六個月了媽媽說不好意思之前已經告訴你們了寶寶已經離開了 |
transcript.whisperx[3].start |
91.032 |
transcript.whisperx[3].end |
118.468 |
transcript.whisperx[3].text |
他的小孩不幸離開他了可是衛生所的人又打了電話來衛生所的人也說抱歉抱歉急忙掛了這個電話媽媽說他講完之後他開始裂崩開始掉眼淚了他實在不明白衛生所為什麼一直打電話來呢前幾個月衛生所打電話說要打疫苗就已經跟他講過一次了 |
transcript.whisperx[4].start |
119.744 |
transcript.whisperx[4].end |
132.348 |
transcript.whisperx[4].text |
而且之前去衛生所申請這個醫療補助的時候已經附了死亡的證明跟除腹的這個證明為什麼衛生所還一直打電話來傷我的心呢他問了一個很重要的問題為什麼負症事務所或者其他單位這個系統是不會連線嗎不只是這位傷心的媽媽他這個貼文貼出來之後啊 |
transcript.whisperx[5].start |
148.826 |
transcript.whisperx[5].end |
172.806 |
transcript.whisperx[5].text |
下面非常非常的多的留言有一個人就講了說我也有過同樣這個經歷他說他的小朋友啊小兒子滿月前就過世了那沒有滿一歲以前幾乎每個月都打預防針所以衛生所是幾乎每個月都打來每次都要跟他回說我小孩已經過世了 |
transcript.whisperx[6].start |
175.39 |
transcript.whisperx[6].end |
189.44 |
transcript.whisperx[6].text |
但是下一次 衛生所還是打電話來每次他都必須哭著一次說你們有必要每個月提醒我嗎我的小孩已經走了這不只是二次傷害 這傷口要先幾次手下講這個 你看這個也是健保 這個剛剛講是衛生所的問題健保局 |
transcript.whisperx[7].start |
200.663 |
transcript.whisperx[7].end |
214.359 |
transcript.whisperx[7].text |
有個民眾說他接到了追繳健保費用的這個帳單可是我妹妹都已經離開兩年了當下他很激動 花瘋一樣去問最後一次救神是三個月內嗎另外這個右上角這個 |
transcript.whisperx[8].start |
221.332 |
transcript.whisperx[8].end |
250.192 |
transcript.whisperx[8].text |
這是一位曾經在衛生所實習的一個員工他講說他有一次啊打電話去關心關懷這個社區的老人打電話過去是一位男生接的他說你是某某伯伯嗎那男生跟他講說找他有什麼事情我們這裡衛生所是定期電話去關心伯伯那個男生說啊他已經過世了他說他掛完電話之後他接他自己像一個罪人 |
transcript.whisperx[9].start |
251.633 |
transcript.whisperx[9].end |
273.104 |
transcript.whisperx[9].text |
他聽到阿伯伯伯過世的消息他也很難過可是有時候為什麼這個員工就問啊為什麼沒有同步去更新資料呢讓這種事情發生呢下面有衛生所還有好幾個例子那個留言好多好多喔柏定是你們衛生所跟戶政事務所沒有連線嗎還是衛生所這邊的作業橫向的聯繫有問題為什麼這麼多人碰到這樣一個問題 |
transcript.whisperx[10].start |
279.748 |
transcript.whisperx[10].end |
285.935 |
transcript.whisperx[10].text |
這個可能各縣市的縣市政府的一個互動真的是需要來加強 |
transcript.whisperx[11].start |
288.664 |
transcript.whisperx[11].end |
312.465 |
transcript.whisperx[11].text |
我們可以來瞭解狀況來瞭解狀況現在連線的狀況是怎麼樣所以部長你現在回去今天就做好不好好沒問題不要讓這個事情再老實講這真的很心疼的事情小孩離開了已經很捨不得了那你又打電話去提醒他你傷口要再掀一次好不好老實講這個事情對政府來講很容易做到我們是一個數位的政府 |
transcript.whisperx[12].start |
313.649 |
transcript.whisperx[12].end |
316.715 |
transcript.whisperx[12].text |
到現在我們的戶政事務所跟我們的衛生局衛生單位這個連線都還連不起來嗎 |
transcript.whisperx[13].start |
320.479 |
transcript.whisperx[13].end |
348.346 |
transcript.whisperx[13].text |
所以第一個事情 柏定你現在阿波東的委員你先去碰一下馬上來瞭解一下 到底你們衛生所跟副政事務所之間那個連接到底是怎麼樣因為衛生所是縣市政府在管的你也主管機關嘛 對不對你也主管機關 這是全國的問題啦是是是柏定 這兩件事情這健保局這個稍微我們來瞭解一下去瞭解一下 但是連接是什麼 當然他有可能碰到 例如說可能是個資的 |
transcript.whisperx[14].start |
350.342 |
transcript.whisperx[14].end |
358.193 |
transcript.whisperx[14].text |
保護問題可是這顯然就是很多人都碰到問題你知道嗎這個推文有多少人上去知道嗎超過一百萬的人 |
transcript.whisperx[15].start |
360.888 |
transcript.whisperx[15].end |
390.428 |
transcript.whisperx[15].text |
流言非常多都是很多人碰到類似剛剛講的小孩或是妹妹家裡面的長輩也一樣啊不要再去做惡毒的這個傷害對政府來講只要保證你你回去把它問清楚第一個護生室我跟你們連線到底目前是怎麼樣那如果真的是有個資保護的問題要怎麼去解決是的那第二個還有一個問題喔你們衛生所內部還有健保局裡面內部自己的這個橫向的聯繫為什麼衛生所裡面第一個人打去 |
transcript.whisperx[16].start |
391.389 |
transcript.whisperx[16].end |
398.061 |
transcript.whisperx[16].text |
他如果說知道已經是有一個家裡人家小朋友離開了你應該註記啊怎麼會有第二人又打去呢 |
transcript.whisperx[17].start |
399.517 |
transcript.whisperx[17].end |
420.849 |
transcript.whisperx[17].text |
所以不是只有跟護送事務所就是衛生局裡面這個單位這個好不好橫向聯繫要能夠改進好不好我們來瞭解馬上來瞭解好那這件事情要慢慢補充我們共同來做希望這個事情不要再發生瞭解瞭解你今天很清楚那你一個禮拜你好好不好一個禮拜跟委員報告通電話不要通電話你給我一個 |
transcript.whisperx[18].start |
423.47 |
transcript.whisperx[18].end |
451.264 |
transcript.whisperx[18].text |
一個禮拜內給我一份報告就是你查的這個狀況到底是什麼地方出了問題當然也有可能我覺得很有可能是個資啦可是我跟你講全世界比較進步的國家沒有說家裡面有一個人離開了然後用一個個資所以其他相關的單位相關的單位比如說你還要發你是要打疫防針之外一個小孩或一個人他有很多都是跟其他部位都有關係嘛對不對所以這橫向這個一定是要解決的要不然台灣就變成一個很落後很落後的一個我們是數位強國耶 |
transcript.whisperx[19].start |
453.385 |
transcript.whisperx[19].end |
457.314 |
transcript.whisperx[19].text |
是 是 好不好好 謝謝這事情要趕快 一個禮拜你跟我講好 沒問題到底這個問題在什麼地方來準備怎麼解決 好不好謝謝 謝謝好 謝謝 謝謝委員 |