| IVOD_ID |
167612 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/167612 |
| 日期 |
2026-03-18 |
| 會議資料.會議代碼 |
委員會-11-5-26-2 |
| 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2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 |
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5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 |
2026-03-18T11:14:53+08:00 |
| 結束時間 |
2026-03-18T11:24:07+08:00 |
| 影片長度 |
00:09:14 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4e26a61b53ad60531e5c52736bbfcab118cbbd4f69c426c04d1c9dfa77de20989cea193b8358d2b45ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
涂權吉 |
| 委員發言時間 |
11:14:53 - 11:24:07 |
| 會議時間 |
2026-03-18T09:00:00+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2次全體委員會議(事由:邀請衛生福利部部長、勞動部、原住民族委員會、內政部、教育部、行政院人事行政總處、銓敘部及國家衛生研究院,就「如何精進偏鄉醫療與長照資源落差及落實《原住民族健康法》之困境,並對提升原住民族健康權益及強化原鄉照護量能(含提升機關位階與人力配置)」進行專題報告,並備質詢。
【3月18日及3月19日,二天一次會】) |
| transcript.pyannote[0].speaker |
SPEAKER_02 |
| transcript.pyannote[0].start |
7.28721875 |
| transcript.pyannote[0].end |
9.39659375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
9.78471875 |
| transcript.pyannote[1].end |
10.76346875 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
13.80096875 |
| transcript.pyannote[2].end |
14.62784375 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
14.96534375 |
| transcript.pyannote[3].end |
15.82596875 |
| transcript.pyannote[4].speaker |
SPEAKER_02 |
| transcript.pyannote[4].start |
16.18034375 |
| transcript.pyannote[4].end |
54.43596875 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
24.44909375 |
| transcript.pyannote[5].end |
24.49971875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
24.65159375 |
| transcript.pyannote[6].end |
24.73596875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
24.73596875 |
| transcript.pyannote[7].end |
24.75284375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
50.48721875 |
| transcript.pyannote[8].end |
50.63909375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
50.65596875 |
| transcript.pyannote[9].end |
50.84159375 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
50.84159375 |
| transcript.pyannote[10].end |
50.85846875 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
54.58784375 |
| transcript.pyannote[11].end |
61.52346875 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
62.01284375 |
| transcript.pyannote[12].end |
72.30659375 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
72.71159375 |
| transcript.pyannote[13].end |
76.44096875 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
76.82909375 |
| transcript.pyannote[14].end |
78.21284375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
78.21284375 |
| transcript.pyannote[15].end |
78.22971875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
78.22971875 |
| transcript.pyannote[16].end |
78.34784375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
78.34784375 |
| transcript.pyannote[17].end |
78.41534375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
78.41534375 |
| transcript.pyannote[18].end |
80.96346875 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
78.41534375 |
| transcript.pyannote[19].end |
81.35159375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
81.70596875 |
| transcript.pyannote[20].end |
81.73971875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
81.89159375 |
| transcript.pyannote[21].end |
130.20471875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
95.57721875 |
| transcript.pyannote[22].end |
95.67846875 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
127.96034375 |
| transcript.pyannote[23].end |
142.13534375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
142.30409375 |
| transcript.pyannote[24].end |
146.38784375 |
| transcript.pyannote[25].speaker |
SPEAKER_02 |
| transcript.pyannote[25].start |
146.38784375 |
| transcript.pyannote[25].end |
149.76284375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
149.02034375 |
| transcript.pyannote[26].end |
153.03659375 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
151.68659375 |
| transcript.pyannote[27].end |
156.44534375 |
| transcript.pyannote[28].speaker |
SPEAKER_02 |
| transcript.pyannote[28].start |
157.10346875 |
| transcript.pyannote[28].end |
166.99221875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
165.35534375 |
| transcript.pyannote[29].end |
168.94971875 |
| transcript.pyannote[30].speaker |
SPEAKER_02 |
| transcript.pyannote[30].start |
167.93721875 |
| transcript.pyannote[30].end |
171.21096875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
171.21096875 |
| transcript.pyannote[31].end |
171.31221875 |
| transcript.pyannote[32].speaker |
SPEAKER_02 |
| transcript.pyannote[32].start |
171.31221875 |
| transcript.pyannote[32].end |
181.04909375 |
| transcript.pyannote[33].speaker |
SPEAKER_02 |
| transcript.pyannote[33].start |
181.35284375 |
| transcript.pyannote[33].end |
196.27034375 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
196.20284375 |
| transcript.pyannote[34].end |
196.54034375 |
| transcript.pyannote[35].speaker |
SPEAKER_02 |
| transcript.pyannote[35].start |
196.35471875 |
| transcript.pyannote[35].end |
201.56909375 |
| transcript.pyannote[36].speaker |
SPEAKER_02 |
| transcript.pyannote[36].start |
202.36221875 |
| transcript.pyannote[36].end |
215.91284375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
209.87159375 |
| transcript.pyannote[37].end |
210.25971875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
214.84971875 |
| transcript.pyannote[38].end |
216.97596875 |
| transcript.pyannote[39].speaker |
SPEAKER_02 |
| transcript.pyannote[39].start |
216.97596875 |
| transcript.pyannote[39].end |
216.99284375 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
216.99284375 |
| transcript.pyannote[40].end |
217.09409375 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
217.09409375 |
| transcript.pyannote[41].end |
217.60034375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
217.14471875 |
| transcript.pyannote[42].end |
217.56659375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
217.60034375 |
| transcript.pyannote[43].end |
218.07284375 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
218.07284375 |
| transcript.pyannote[44].end |
218.10659375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
218.10659375 |
| transcript.pyannote[45].end |
218.39346875 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
218.39346875 |
| transcript.pyannote[46].end |
231.75846875 |
| transcript.pyannote[47].speaker |
SPEAKER_02 |
| transcript.pyannote[47].start |
232.21409375 |
| transcript.pyannote[47].end |
235.21784375 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
235.47096875 |
| transcript.pyannote[48].end |
241.02284375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
241.02284375 |
| transcript.pyannote[49].end |
266.38596875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
266.48721875 |
| transcript.pyannote[50].end |
268.90034375 |
| transcript.pyannote[51].speaker |
SPEAKER_02 |
| transcript.pyannote[51].start |
268.90034375 |
| transcript.pyannote[51].end |
270.18284375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
270.18284375 |
| transcript.pyannote[52].end |
270.80721875 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
270.21659375 |
| transcript.pyannote[53].end |
270.77346875 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
270.80721875 |
| transcript.pyannote[54].end |
274.68846875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
273.72659375 |
| transcript.pyannote[55].end |
277.75971875 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
276.76409375 |
| transcript.pyannote[56].end |
298.29659375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
280.71284375 |
| transcript.pyannote[57].end |
281.96159375 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
298.81971875 |
| transcript.pyannote[58].end |
317.19659375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
303.96659375 |
| transcript.pyannote[59].end |
303.98346875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
303.98346875 |
| transcript.pyannote[60].end |
304.05096875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
304.18596875 |
| transcript.pyannote[61].end |
304.27034375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
304.27034375 |
| transcript.pyannote[62].end |
304.28721875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
317.19659375 |
| transcript.pyannote[63].end |
318.52971875 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
317.39909375 |
| transcript.pyannote[64].end |
318.19221875 |
| transcript.pyannote[65].speaker |
SPEAKER_02 |
| transcript.pyannote[65].start |
318.52971875 |
| transcript.pyannote[65].end |
321.97221875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
319.87971875 |
| transcript.pyannote[66].end |
339.50534375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
339.57284375 |
| transcript.pyannote[67].end |
340.61909375 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
340.61909375 |
| transcript.pyannote[68].end |
374.97659375 |
| transcript.pyannote[69].speaker |
SPEAKER_02 |
| transcript.pyannote[69].start |
375.41534375 |
| transcript.pyannote[69].end |
406.95471875 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
407.17409375 |
| transcript.pyannote[70].end |
409.14846875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
409.72221875 |
| transcript.pyannote[71].end |
414.24471875 |
| transcript.pyannote[72].speaker |
SPEAKER_02 |
| transcript.pyannote[72].start |
414.31221875 |
| transcript.pyannote[72].end |
426.42846875 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
426.74909375 |
| transcript.pyannote[73].end |
428.72346875 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
428.92596875 |
| transcript.pyannote[74].end |
429.95534375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
429.95534375 |
| transcript.pyannote[75].end |
429.97221875 |
| transcript.pyannote[76].speaker |
SPEAKER_02 |
| transcript.pyannote[76].start |
430.64721875 |
| transcript.pyannote[76].end |
431.03534375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
431.03534375 |
| transcript.pyannote[77].end |
469.08846875 |
| transcript.pyannote[78].speaker |
SPEAKER_02 |
| transcript.pyannote[78].start |
469.08846875 |
| transcript.pyannote[78].end |
504.82971875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
473.34096875 |
| transcript.pyannote[79].end |
473.57721875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
476.54721875 |
| transcript.pyannote[80].end |
476.63159375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
476.63159375 |
| transcript.pyannote[81].end |
476.66534375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
476.66534375 |
| transcript.pyannote[82].end |
476.69909375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
476.69909375 |
| transcript.pyannote[83].end |
476.71596875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
503.73284375 |
| transcript.pyannote[84].end |
504.42471875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
504.55971875 |
| transcript.pyannote[85].end |
504.69471875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
504.72846875 |
| transcript.pyannote[86].end |
504.74534375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
504.82971875 |
| transcript.pyannote[87].end |
505.16721875 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
505.16721875 |
| transcript.pyannote[88].end |
505.21784375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
505.21784375 |
| transcript.pyannote[89].end |
505.23471875 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
505.23471875 |
| transcript.pyannote[90].end |
505.31909375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
505.31909375 |
| transcript.pyannote[91].end |
525.67034375 |
| transcript.pyannote[92].speaker |
SPEAKER_02 |
| transcript.pyannote[92].start |
505.36971875 |
| transcript.pyannote[92].end |
507.27659375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
512.23784375 |
| transcript.pyannote[93].end |
512.54159375 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
520.87784375 |
| transcript.pyannote[94].end |
521.26596875 |
| transcript.pyannote[95].speaker |
SPEAKER_02 |
| transcript.pyannote[95].start |
525.18096875 |
| transcript.pyannote[95].end |
532.89284375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
526.54784375 |
| transcript.pyannote[96].end |
527.61096875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
528.50534375 |
| transcript.pyannote[97].end |
528.67409375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
532.42034375 |
| transcript.pyannote[98].end |
534.96846875 |
| transcript.pyannote[99].speaker |
SPEAKER_02 |
| transcript.pyannote[99].start |
533.98971875 |
| transcript.pyannote[99].end |
543.38909375 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
538.84971875 |
| transcript.pyannote[100].end |
539.08596875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
541.17846875 |
| transcript.pyannote[101].end |
541.70159375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
542.29221875 |
| transcript.pyannote[102].end |
551.60721875 |
| transcript.pyannote[103].speaker |
SPEAKER_02 |
| transcript.pyannote[103].start |
548.63721875 |
| transcript.pyannote[103].end |
550.27409375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
551.77596875 |
| transcript.pyannote[104].end |
553.15971875 |
| transcript.whisperx[0].start |
7.318 |
| transcript.whisperx[0].end |
10.607 |
| transcript.whisperx[0].text |
好 谢谢主席 那请问石部长请石成良部长 |
| transcript.whisperx[1].start |
14.034 |
| transcript.whisperx[1].end |
40.887 |
| transcript.whisperx[1].text |
主委好 石部長我們賴總統有推健康台灣政策當然我們去了解它也是因應我國人口結構的改變還有我們醫療照護需求的增加我們石部長本身也醫療備檢然後也做過健保署署長我們認為一個地區它在高齡人口達到一個數量其實就應該要有長照跟醫院的醫療需求 |
| transcript.whisperx[2].start |
41.707 |
| transcript.whisperx[2].end |
60.747 |
| transcript.whisperx[2].text |
那现在针对之前我们在总执行也提过像我们桃园沿海我们认为这个整个医疗资源就是很匮乏那尤其那我们现在先讨论长照的部分那长照部分当然后来我们在观音大坡甲有一个长照园区在2025年 |
| transcript.whisperx[3].start |
62.088 |
| transcript.whisperx[3].end |
79.748 |
| transcript.whisperx[3].text |
中巡有開始動工那當然他其實他從當初規劃到動工其實也花了大概8年的時間那這部分不知道部長對大坡角長照園區這部分了解嗎這個我比較陌生我還是請我們長照室市長 |
| transcript.whisperx[4].start |
82.257 |
| transcript.whisperx[4].end |
98.37 |
| transcript.whisperx[4].text |
謝謝委員關心那這個案子因為是我們的部立桃園醫院提出計畫那用長照基金這邊補助他做這個200床的住宿床的一個規劃那目前其實整個案子應該 |
| transcript.whisperx[5].start |
99.991 |
| transcript.whisperx[5].end |
123.189 |
| transcript.whisperx[5].text |
我們經費是應該是一百一十一年核定下去的一一一一零一一一那段時間核定下去那現在都是都在都在進行因為當時也有要必須要跟地方要去取得一些共識那也曾經委員也有曾經安排一次到實地看訪所以那個地方還涉及到說還要開路就是還要規劃這個這個路線所以其實問題是比較複雜的 |
| transcript.whisperx[6].start |
129.794 |
| transcript.whisperx[6].end |
155.295 |
| transcript.whisperx[6].text |
當初規劃到動工其實也真的花了很長的時間那所以現在當然也感謝我們已經開始動工所以我們現在不知道了解他所有的進度都正常那目前進度到底到哪裡因為現在這個部分管控是我們衣服會在管控那這部分再幫我們了解一下我們衣服會其實一直在盯因為我希望今天跟部長提就是因為我們桃園沿海這個 |
| transcript.whisperx[7].start |
157.176 |
| transcript.whisperx[7].end |
179.664 |
| transcript.whisperx[7].text |
我們一直講這個醫療資源匱乏那好不容易有這個長照園區希望部長能夠幫我們監督一下 讓這個工程順利讓它如期如此完成對對對這部分請部長幫我們多關心一下好所以那再來我們就討論醫療需求嘛那我們今天主要都是針對我們桃園沿海醫療需求的問題那 |
| transcript.whisperx[8].start |
181.465 |
| transcript.whisperx[8].end |
197.471 |
| transcript.whisperx[8].text |
部長也知道我們一直在談部桃新屋分院從2023年我們就知道它的量能都滿窄在總諮詢也提過那當初也拜託我們行政院卓榮泰院長院長好像有指示部長請部長檢討我們沿海醫療資源的問題那 |
| transcript.whisperx[9].start |
202.593 |
| transcript.whisperx[9].end |
231.385 |
| transcript.whisperx[9].text |
據我們了解部桃新屋分院他的徵件計畫我們查過從國發會1月份就已經送到行政院那不知道現在到底進步了目前已經正式核定了已經核定了我們趕快動所以因為我有看國發會的建議國發會也直接寫希望行政院盡快核定表示他們也認為這個急迫性跟重要性那可是後來我們也有了解 |
| transcript.whisperx[10].start |
232.646 |
| transcript.whisperx[10].end |
249.226 |
| transcript.whisperx[10].text |
部桃醫院好像針對很多請他們要自籌經費這一部分他們認為好像有很大的困擾是不是這樣新屋這邊沒有問題是那個桃園醫院我們現在有兩個案子一個是新屋分院新屋分院這個已經核定了這個沒有問題經費沒有問題了 |
| transcript.whisperx[11].start |
251.408 |
| transcript.whisperx[11].end |
274.407 |
| transcript.whisperx[11].text |
那再來是那個我們那個桃園醫院就是那個本院的地方那個我們也要有新建那個一個大樓所以那個部分的還在審查中那個預算還在爭取所以部桃醫院新屋分院經費自籌款的部分不會有問題那個OK 那個OK那所以目前新屋分院整備計畫趕快來動 要來開始動了 |
| transcript.whisperx[12].start |
276.789 |
| transcript.whisperx[12].end |
297.817 |
| transcript.whisperx[12].text |
好所以那也不會有自籌款的問題嗎那個還好主要是那個桃園醫院這部分真的拜託部長因為大家都很期望因為我們沿海這醫療資源當初我們都講過整個桃園就是沿海跟南區這醫療資源非常匱乏所以這個 |
| transcript.whisperx[13].start |
298.897 |
| transcript.whisperx[13].end |
316.916 |
| transcript.whisperx[13].text |
目前看到最有機會就是部桃新屋分院的徵建計畫所以大家很多民眾啊像我們陽梅觀音新屋大園整個沿海甚至平鎮農產其實對於這個南區部桃新屋分院的徵建計畫大家都引頸很久 |
| transcript.whisperx[14].start |
317.836 |
| transcript.whisperx[14].end |
342.847 |
| transcript.whisperx[14].text |
這部長這一部分希望部長我們希望我們會去這個壯大這個桃園醫院的量能包含跟新屋分院這邊我們的期待是希望讓這個我們的部桃能夠成為醫學中心來發展所以他現在已經通過重度級急救責任醫院希望他也能夠讓新屋這邊也提升起來這樣好對因為這也牽扯到我們 |
| transcript.whisperx[15].start |
343.607 |
| transcript.whisperx[15].end |
371.557 |
| transcript.whisperx[15].text |
周邊有一個觀音工業區它是我們全台灣北部最大的工業區這我們也提過很多次它每天去上班的人最少3萬人以上而且它裡面有很多的行業像金屬製品製造業機械設備製造業電子零組件製造業還有一些比較特別像化學材料化學製品的製造業那我們現在一直很擔心萬一真的有發生什麼公安方面的問題 |
| transcript.whisperx[16].start |
372.597 |
| transcript.whisperx[16].end |
389.427 |
| transcript.whisperx[16].text |
那在第一時間他要去周邊都沒有一些大型的醫療院所而且也沒有急診室所以我們那時候是有提是不是針對這部分緊急醫療網路的部分在工業區內或者甚至 |
| transcript.whisperx[17].start |
389.927 |
| transcript.whisperx[17].end |
408.923 |
| transcript.whisperx[17].text |
就应该要有急诊室或者一些比较大型的医疗院所当然布陶新屋分院也是一个好的方法也是一个好的院所但是毕竟其他的观音工业区过去车程要30分钟以上所以我们针对 |
| transcript.whisperx[18].start |
410.144 |
| transcript.whisperx[18].end |
429.11 |
| transcript.whisperx[18].text |
這個部分是不是應該在這個大型的工業區內或者周邊短城內是不是應該要有增加這個醫療資源急診室或者一些大型的院所甚至是不是應該要針對它的產業類別應該要有一些去做一些比較相關的專責醫院 |
| transcript.whisperx[19].start |
431.017 |
| transcript.whisperx[19].end |
446.618 |
| transcript.whisperx[19].text |
我想因為這個工業區的關係比較擔心的就是一些公安意外的時候的緊急應變委員關切應該是屬於這一個那麼我再請議事司跟了解一下這裡面有沒有什麼特殊 |
| transcript.whisperx[20].start |
448.32 |
| transcript.whisperx[20].end |
468.5 |
| transcript.whisperx[20].text |
需要應變,比如說毒化災,它需要特別的應變的,那我們來提升它的應變能力。當然這個也要跟主管機關大家來討論,因為要設這些站也好,或者是它的應變機制也好,可能我們要跨機關的合作。 |
| transcript.whisperx[21].start |
469.181 |
| transcript.whisperx[21].end |
485.508 |
| transcript.whisperx[21].text |
所以我們說本身我們沿海南區醫療資源就很匱乏加上又有這麼大的工業區這麼多的產業類別所以我們希望衛福部是不是可以針對經濟部像依照不同的產業類別然後再跟勞動部針對各工業區內的職災復健照護這一部分是不是研議在工業區內 |
| transcript.whisperx[22].start |
491.77 |
| transcript.whisperx[22].end |
505.125 |
| transcript.whisperx[22].text |
或者周邊能夠來設一些專責的相關醫院那一方面能夠提升我們醫療資源另外一方面也對我們工業區內這麼多的勞工也是一個保障所以這部分我們來針對這個產業園區 |
| transcript.whisperx[23].start |
509.048 |
| transcript.whisperx[23].end |
531.801 |
| transcript.whisperx[23].text |
去設計他的緊急醫療網絡啦他發生一些緊急事件的時候他應該是應變醫院是在哪裡那或者是需要有一個前進的救護站的設計還是什麼我們這個我請醫事師來規劃那師傅可以幫我們演繹一下然後再給我們一個進度大概多久可以給我們看到這個相關的報告也是三個月啦 |
| transcript.whisperx[24].start |
532.501 |
| transcript.whisperx[24].end |
543.332 |
| transcript.whisperx[24].text |
我們要跨單位去好那拜託因為這可能要跟經濟部、勞動部幾個部會研議一下那拜託部長三個月內給我們初步研議跟我們的規劃進度這個地方的一個緊急醫療應變的網絡跟計畫這樣好謝謝感謝謝謝部長謝謝委員謝謝投選局委員發言 |