IVOD_ID |
153383 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/153383 |
日期 |
2024-05-30 |
會議資料.會議代碼 |
委員會-11-1-26-19 |
會議資料.會議代碼:str |
第11屆第1會期社會福利及衛生環境委員會第19次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.會次 |
19 |
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1會期社會福利及衛生環境委員會第19次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-05-30T11:32:15+08:00 |
結束時間 |
2024-05-30T11:39:09+08:00 |
影片長度 |
00:06:54 |
支援功能[0] |
ai-transcript |
支援功能[1] |
gazette |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/bbbc431469b8aeba756ed803add21f4cea2e07370b40154b446d6a815e913744af027823a2ae2feb5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
徐欣瑩 |
委員發言時間 |
11:32:15 - 11:39:09 |
會議時間 |
2024-05-30T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期社會福利及衛生環境委員會第19次全體委員會議(事由:審查
一、委員許宇甄等22人擬具「老人福利法增訂第二十二條之一條文草案」案。
二、委員馬文君等16人擬具「老人福利法第二十五條條文修正草案」案。
三、委員張嘉郡等20人擬具「老人福利法第二十二條條文修正草案」案。
四、國民黨黨團擬具「老人福利法第二十二條條文修正草案」案。
五、委員黃健豪等17人擬具「老人福利法第二十二條條文修正草案」案。
六、委員王育敏等19人擬具「老人福利法第二十二條條文修正草案」案。
七、台灣民眾黨黨團擬具「老人福利法第二十二條及第二十五條條文修正草案」案。
【第七案,如經復議,則不予審查】) |
gazette.lineno |
764 |
gazette.blocks[0][0] |
徐委員欣瑩:(11時32分)謝謝主席,本席請呂次長。 |
gazette.blocks[1][0] |
主席:請呂次長。 |
gazette.blocks[2][0] |
呂次長建德:委員好。 |
gazette.blocks[3][0] |
徐委員欣瑩:次長,您是社福專家、政學兩棲。 |
gazette.blocks[4][0] |
呂次長建德:不敢、不敢。 |
gazette.blocks[5][0] |
徐委員欣瑩:您說要把臺中市的經驗推到全國,本席想請教,您對於現在在全國實施的社區關懷據點的政策和施行現況了解嗎? |
gazette.blocks[6][0] |
呂次長建德:報告委員,我正在…… |
gazette.blocks[7][0] |
徐委員欣瑩:了解中。 |
gazette.blocks[8][0] |
呂次長建德:對,正在了解中。 |
gazette.blocks[9][0] |
徐委員欣瑩:對,因為您剛上任。 |
gazette.blocks[10][0] |
呂次長建德:是。 |
gazette.blocks[11][0] |
徐委員欣瑩:本席要反映一下地方的情況,也就是說我們這樣實施立意非常非常好,而且關懷據點最重要的就是由於高齡化社會來臨,希望照顧到老人家嘛,對不對? |
gazette.blocks[12][0] |
呂次長建德:是的、是的。 |
gazette.blocks[13][0] |
徐委員欣瑩:現在社區關懷據點業務費發放的標準是按照開設的服務時段,但是你想想看,同樣一週開設5個時段,你的獎補助經費是一樣的,可是有的社區30人,有的社區50人,有的社區一百多人,這個就不合理,是不是可以檢討、調整? |
gazette.blocks[14][0] |
呂次長建德:OK。報告委員,我想委員這個意見非常好,我們的補助標準是不是可以考量時段和人數的部分…… |
gazette.blocks[15][0] |
徐委員欣瑩:對,你們現在是按照時段,可是人數不同嘛,所以很有心要做的,而且也做得很好的,他就欠缺經費。這個部分可以調整吧?因為也實施一段時間了,應該都有聽到這樣的聲音吧? |
gazette.blocks[16][0] |
呂次長建德:報告委員,是不是可以容我們回去處理。我過去在臺中,我知道關懷據點…… |
gazette.blocks[17][0] |
徐委員欣瑩:對啊,臺中難道沒這個問題嗎? |
gazette.blocks[18][0] |
呂次長建德:關懷據點對於長輩,鼓勵長輩走出來,我想這是一個非常好的政策。相關的補助,您剛剛說的這個部分,我們來通盤做一些檢討。 |
gazette.blocks[19][0] |
徐委員欣瑩:對,關於這個部分,你們是不是檢討之後,也提供書面報告給本席,好不好? |
gazette.blocks[20][0] |
呂次長建德:好的、好的。 |
gazette.blocks[21][0] |
徐委員欣瑩:本席要再接著講,社區設備老舊汰換的問題,這個部分營運滿3年,你的補助費只有5萬元嘛。 |
gazette.blocks[22][0] |
呂次長建德:對。 |
gazette.blocks[23][0] |
徐委員欣瑩:你可以針對現況,有些地方飲水機、筆電、桌椅根本不夠。特別是本席接到的情況,就是他真的很有心在做,參與度各方面也確實都很好,但是他就是欠缺經費。再來就是人力沒有勞健保,包括業務費不足的部分,有些偏遠地區老人家要接送,所以你看30個人、80個人跟100個人,其實這個費用上差異就很大了。這個部分是不是可以一併來檢討,好不好? |
gazette.blocks[24][0] |
呂次長建德:OK,好,謝謝委員。 |
gazette.blocks[25][0] |
徐委員欣瑩:這個部分一定要給我們一個回應。 |
gazette.blocks[26][0] |
呂次長建德:好、好。 |
gazette.blocks[27][0] |
徐委員欣瑩:因為這點在各地方,我相信應該各地都有這個反映才對。 |
gazette.blocks[28][0] |
呂次長建德:是。其實我也了解,也跟委員報告,目前有兩個部分,一個是剛剛委員關心的,已有的,我們如何深入。 |
gazette.blocks[29][0] |
徐委員欣瑩:對。 |
gazette.blocks[30][0] |
呂次長建德:可是我們現在還有一個必須要考量的是…… |
gazette.blocks[31][0] |
徐委員欣瑩:要再開拓?。 |
gazette.blocks[32][0] |
呂次長建德:對,要開拓,所以我們目前把這些coverage覆蓋的範圍儘量先廣布,其實我也知道目前有一些非常成功…… |
gazette.blocks[33][0] |
徐委員欣瑩:對,現有做得很好的,你們不要讓他營運困難啊。 |
gazette.blocks[34][0] |
呂次長建德:對,跟委員報告,我們還是希望在國家資源真的有限的情況下,現階段是不是先從面的擴充。我們也有一個政策,很多的…… |
gazette.blocks[35][0] |
徐委員欣瑩:不、不、不,那個人數,你還是要依據情況,有的地方面很廣,但他需求不多,只有二、三十人,當然二、三十個人,我們也是要照顧,但是那個100人的,真的很需求的,你還是要照顧到啊!你都已經辦了,所以你這樣會讓人家感覺你就是辦個樣子,你就是有做就好啊! |
gazette.blocks[36][0] |
呂次長建德:委員,我們還是希望已經表現好的,他們也可以有…… |
gazette.blocks[37][0] |
徐委員欣瑩:表現好,但他現在就是很困難!你變成有一點其實是扼殺他,他表現好,你不讓他繼續做嘛!或者他沒有辦法好好的往下,所以這一塊我請你們一定要檢討。 |
gazette.blocks[37][1] |
接著第二點,請主席再給本席30秒。我們要反映有關健保總額點數的問題,整個健保點數有天花板,總額管制,對不對?這您應該知道。 |
gazette.blocks[38][0] |
呂次長建德:對,沒錯,global budget。 |
gazette.blocks[39][0] |
徐委員欣瑩:在這種情況下,全國分成六大區,你是按照各區給他一個天花板,桃竹竹苗區人口在近幾年的增加率在全國算非常高的,你這個天花板不變,沒有隨著人口調整,就讓他們可以分配到的健保費變相縮水。醫院每看一個病患,就多賠一個病患的醫療費用,這對我們竹竹苗相當的不公平。這個部分,希望衛福部一定要重視! |
gazette.blocks[40][0] |
呂次長建德:OK,是。 |
gazette.blocks[41][0] |
徐委員欣瑩:次長,這個不能放著不管。 |
gazette.blocks[42][0] |
呂次長建德:OK。我想委員說的,確實在總額支付的制度之下,因為人口成長,相對的也應該來做一些考量。 |
gazette.blocks[43][0] |
徐委員欣瑩:對、對、對!但是你們一定要拿出辦法,是不是也可以在一個月內給我們一個回應?我覺得這個情況,衛福部一定很清楚啊。 |
gazette.blocks[44][0] |
呂次長建德:報告委員,我們趕快,我想這個…… |
gazette.blocks[45][0] |
李副署長丞華:一個月給書面的資料,提供給委員。 |
gazette.blocks[46][0] |
呂次長建德:好不好? |
gazette.blocks[47][0] |
徐委員欣瑩:不是資料,是要回應! |
gazette.blocks[48][0] |
呂次長建德:好,我們把一些相關…… |
gazette.blocks[49][0] |
徐委員欣瑩:這個情況,其實十年來桃竹竹苗這一區一直受到很大不公平的待遇。 |
gazette.blocks[50][0] |
呂次長建德:好,OK,我們會帶回來研議。感謝委員,謝謝。 |
gazette.blocks[51][0] |
徐委員欣瑩:好,謝謝。 |
gazette.blocks[52][0] |
主席:謝謝徐欣瑩委員。接下來請楊曜委員質詢。 |
gazette.agenda.page_end |
212 |
gazette.agenda.meet_id |
委員會-11-1-26-19 |
gazette.agenda.speakers[0] |
王育敏 |
gazette.agenda.speakers[1] |
許宇甄 |
gazette.agenda.speakers[2] |
張嘉郡 |
gazette.agenda.speakers[3] |
陳昭姿 |
gazette.agenda.speakers[4] |
林月琴 |
gazette.agenda.speakers[5] |
廖偉翔 |
gazette.agenda.speakers[6] |
黃秀芳 |
gazette.agenda.speakers[7] |
黃健豪 |
gazette.agenda.speakers[8] |
張智倫 |
gazette.agenda.speakers[9] |
李彥秀 |
gazette.agenda.speakers[10] |
林淑芬 |
gazette.agenda.speakers[11] |
楊瓊瓔 |
gazette.agenda.speakers[12] |
陳瑩 |
gazette.agenda.speakers[13] |
劉建國 |
gazette.agenda.speakers[14] |
徐欣瑩 |
gazette.agenda.speakers[15] |
楊曜 |
gazette.agenda.speakers[16] |
陳菁徽 |
gazette.agenda.speakers[17] |
盧縣一 |
gazette.agenda.speakers[18] |
涂權吉 |
gazette.agenda.speakers[19] |
蘇清泉 |
gazette.agenda.page_start |
149 |
gazette.agenda.meetingDate[0] |
2024-05-30 |
gazette.agenda.gazette_id |
1135501 |
gazette.agenda.agenda_lcidc_ids[0] |
1135501_00003 |
gazette.agenda.meet_name |
立法院第11屆第1會期社會福利及衛生環境委員會第19次全體委員會議紀錄 |
gazette.agenda.content |
審查一、委員許宇甄等22人擬具「老人福利法增訂第二十二條之一條文草案」案;二、委員馬文
君等16人擬具「老人福利法第二十五條條文修正草案」案;三、委員張嘉郡等20人擬具「老人福
利法第二十二條條文修正草案」案;四、國民黨黨團擬具「老人福利法第二十二條條文修正草
案」案;五、委員黃健豪等17人擬具「老人福利法第二十二條條文修正草案」案;六、委員王育
敏等19人擬具「老人福利法第二十二條條文修正草案」案;七、台灣民眾黨黨團擬具「老人福利
法第二十二條及第二十五條條文修正草案」案 |
gazette.agenda.agenda_id |
1135501_00002 |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.82409375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
6.29159375 |
transcript.pyannote[1].end |
9.90284375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
10.81409375 |
transcript.pyannote[2].end |
11.18534375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
11.18534375 |
transcript.pyannote[3].end |
11.97846875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
17.71596875 |
transcript.pyannote[4].end |
19.31909375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
19.82534375 |
transcript.pyannote[5].end |
22.86284375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
21.39471875 |
transcript.pyannote[6].end |
22.74471875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
22.96409375 |
transcript.pyannote[7].end |
24.76971875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
24.43221875 |
transcript.pyannote[8].end |
25.07346875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
25.07346875 |
transcript.pyannote[9].end |
40.24409375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
40.98659375 |
transcript.pyannote[10].end |
46.67346875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
42.25221875 |
transcript.pyannote[11].end |
42.79221875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
47.17971875 |
transcript.pyannote[12].end |
52.20846875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
49.94721875 |
transcript.pyannote[13].end |
50.60534375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
52.20846875 |
transcript.pyannote[14].end |
52.61346875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
52.36034375 |
transcript.pyannote[15].end |
62.35034375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
55.58346875 |
transcript.pyannote[16].end |
55.97159375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
61.89471875 |
transcript.pyannote[17].end |
62.63721875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
62.63721875 |
transcript.pyannote[18].end |
71.78346875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
72.17159375 |
transcript.pyannote[19].end |
72.82971875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
72.49221875 |
transcript.pyannote[20].end |
77.62221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
76.23846875 |
transcript.pyannote[21].end |
76.71096875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
77.75721875 |
transcript.pyannote[22].end |
78.12846875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
78.19596875 |
transcript.pyannote[23].end |
79.79909375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
79.79909375 |
transcript.pyannote[24].end |
80.08596875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
80.08596875 |
transcript.pyannote[25].end |
88.30409375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
88.30409375 |
transcript.pyannote[26].end |
88.62471875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
88.62471875 |
transcript.pyannote[27].end |
91.96596875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
88.64159375 |
transcript.pyannote[28].end |
88.77659375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
91.96596875 |
transcript.pyannote[29].end |
93.45096875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
93.73784375 |
transcript.pyannote[30].end |
97.51784375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
98.27721875 |
transcript.pyannote[31].end |
102.36096875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
102.52971875 |
transcript.pyannote[32].end |
105.97221875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
103.93034375 |
transcript.pyannote[33].end |
115.01721875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
106.88346875 |
transcript.pyannote[34].end |
107.15346875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
109.02659375 |
transcript.pyannote[35].end |
109.09409375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
112.84034375 |
transcript.pyannote[36].end |
113.71784375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
115.01721875 |
transcript.pyannote[37].end |
115.89471875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
116.04659375 |
transcript.pyannote[38].end |
120.97409375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
120.97409375 |
transcript.pyannote[39].end |
121.78409375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
122.32409375 |
transcript.pyannote[40].end |
127.97721875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
127.42034375 |
transcript.pyannote[41].end |
127.96034375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
127.97721875 |
transcript.pyannote[42].end |
129.37784375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
129.41159375 |
transcript.pyannote[43].end |
144.14346875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
135.45284375 |
transcript.pyannote[44].end |
135.89159375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
135.89159375 |
transcript.pyannote[45].end |
135.92534375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
141.74721875 |
transcript.pyannote[46].end |
144.22784375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
144.61596875 |
transcript.pyannote[47].end |
153.05346875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
144.64971875 |
transcript.pyannote[48].end |
145.44284375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
147.48471875 |
transcript.pyannote[49].end |
148.02471875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
148.63221875 |
transcript.pyannote[50].end |
148.96971875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
148.96971875 |
transcript.pyannote[51].end |
149.17221875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
154.13346875 |
transcript.pyannote[52].end |
156.52971875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
156.52971875 |
transcript.pyannote[53].end |
157.01909375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
157.01909375 |
transcript.pyannote[54].end |
163.75221875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
161.84534375 |
transcript.pyannote[55].end |
161.92971875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
164.51159375 |
transcript.pyannote[56].end |
171.48096875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
166.41846875 |
transcript.pyannote[57].end |
166.72221875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
171.83534375 |
transcript.pyannote[58].end |
175.24409375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
175.24409375 |
transcript.pyannote[59].end |
175.80096875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
175.58159375 |
transcript.pyannote[60].end |
178.45034375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
178.45034375 |
transcript.pyannote[61].end |
178.85534375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
178.78784375 |
transcript.pyannote[62].end |
191.79846875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
191.86596875 |
transcript.pyannote[63].end |
192.45659375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
192.35534375 |
transcript.pyannote[64].end |
199.93221875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
200.03346875 |
transcript.pyannote[65].end |
209.83784375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
203.84721875 |
transcript.pyannote[66].end |
204.82596875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
208.04909375 |
transcript.pyannote[67].end |
209.11221875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
210.15846875 |
transcript.pyannote[68].end |
214.25909375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
213.02721875 |
transcript.pyannote[69].end |
214.71471875 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
215.10284375 |
transcript.pyannote[70].end |
256.48034375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
226.00409375 |
transcript.pyannote[71].end |
226.25721875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
227.20221875 |
transcript.pyannote[72].end |
228.13034375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
228.92346875 |
transcript.pyannote[73].end |
229.02471875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
238.84596875 |
transcript.pyannote[74].end |
239.35221875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
240.71909375 |
transcript.pyannote[75].end |
241.30971875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
256.21034375 |
transcript.pyannote[76].end |
256.54784375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
256.54784375 |
transcript.pyannote[77].end |
256.64909375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
256.64909375 |
transcript.pyannote[78].end |
270.21659375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
267.53346875 |
transcript.pyannote[79].end |
268.03971875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
270.57096875 |
transcript.pyannote[80].end |
276.96659375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
277.40534375 |
transcript.pyannote[81].end |
287.49659375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
285.18471875 |
transcript.pyannote[82].end |
292.28909375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
288.23909375 |
transcript.pyannote[83].end |
288.76221875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
292.49159375 |
transcript.pyannote[84].end |
309.33284375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
309.33284375 |
transcript.pyannote[85].end |
309.75471875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
310.68284375 |
transcript.pyannote[86].end |
318.27659375 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
316.40346875 |
transcript.pyannote[87].end |
317.24721875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
317.43284375 |
transcript.pyannote[88].end |
318.25971875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
318.27659375 |
transcript.pyannote[89].end |
318.41159375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
318.41159375 |
transcript.pyannote[90].end |
318.47909375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
318.51284375 |
transcript.pyannote[91].end |
321.02721875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
321.63471875 |
transcript.pyannote[92].end |
333.05909375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
324.11534375 |
transcript.pyannote[93].end |
324.48659375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
333.26159375 |
transcript.pyannote[94].end |
334.27409375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
334.44284375 |
transcript.pyannote[95].end |
334.86471875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
334.64534375 |
transcript.pyannote[96].end |
336.72096875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
337.29471875 |
transcript.pyannote[97].end |
345.88409375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
347.53784375 |
transcript.pyannote[98].end |
347.79096875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
347.90909375 |
transcript.pyannote[99].end |
354.69284375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
354.65909375 |
transcript.pyannote[100].end |
354.67596875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
354.69284375 |
transcript.pyannote[101].end |
355.04721875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
354.72659375 |
transcript.pyannote[102].end |
354.77721875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
354.82784375 |
transcript.pyannote[103].end |
355.89096875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
356.54909375 |
transcript.pyannote[104].end |
360.63284375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
361.88159375 |
transcript.pyannote[105].end |
364.61534375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
362.11784375 |
transcript.pyannote[106].end |
362.20221875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
362.20221875 |
transcript.pyannote[107].end |
362.35409375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
362.45534375 |
transcript.pyannote[108].end |
362.48909375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
364.85159375 |
transcript.pyannote[109].end |
364.86846875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
364.86846875 |
transcript.pyannote[110].end |
374.55471875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
374.87534375 |
transcript.pyannote[111].end |
385.82721875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
384.46034375 |
transcript.pyannote[112].end |
384.88221875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
386.24909375 |
transcript.pyannote[113].end |
386.68784375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
386.46846875 |
transcript.pyannote[114].end |
388.29096875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
388.72971875 |
transcript.pyannote[115].end |
394.53471875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
394.53471875 |
transcript.pyannote[116].end |
396.37409375 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
397.08284375 |
transcript.pyannote[117].end |
398.41596875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
397.55534375 |
transcript.pyannote[118].end |
404.98034375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
399.02346875 |
transcript.pyannote[119].end |
399.14159375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
405.57096875 |
transcript.pyannote[120].end |
406.19534375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
406.78596875 |
transcript.pyannote[121].end |
412.81034375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
412.99596875 |
transcript.pyannote[122].end |
414.97034375 |
transcript.whisperx[0].start |
0.189 |
transcript.whisperx[0].end |
9.027 |
transcript.whisperx[0].text |
委員之選。謝謝主席。本席請理事長。好,理事長。 |
transcript.whisperx[1].start |
18.885 |
transcript.whisperx[1].end |
45.886 |
transcript.whisperx[1].text |
市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政學兩系。市長,您是社福專家,政 |
transcript.whisperx[2].start |
47.284 |
transcript.whisperx[2].end |
47.464 |
transcript.whisperx[2].text |
徐欣瑩 |
transcript.whisperx[3].start |
62.873 |
transcript.whisperx[3].end |
63.033 |
transcript.whisperx[3].text |
徐欣瑩 |
transcript.whisperx[4].start |
83.832 |
transcript.whisperx[4].end |
92.555 |
transcript.whisperx[4].text |
有的社區30人,有的社區50人,有的社區100多人。像這個就不合理嗎?是不是可以檢討?可以調整嗎?我向委員的這個意見非常好,就是說 |
transcript.whisperx[5].start |
98.433 |
transcript.whisperx[5].end |
98.593 |
transcript.whisperx[5].text |
徐欣瑩 |
transcript.whisperx[6].start |
122.423 |
transcript.whisperx[6].end |
142.1 |
transcript.whisperx[6].text |
是,包委員是不是可以容我們回去,我想我過去台中,我知道這個關懷據點對於長輩,我想那個鼓勵長輩能走出來,我想這是一個非常好的一個政策,那我們就是相關的補助,您剛剛說的這個部分,是不是,我想我們來做一些檢討。 |
transcript.whisperx[7].start |
144.702 |
transcript.whisperx[7].end |
144.862 |
transcript.whisperx[7].text |
﹑徐欣瑩 |
transcript.whisperx[8].start |
164.571 |
transcript.whisperx[8].end |
164.791 |
transcript.whisperx[8].text |
徐欣瑩 |
transcript.whisperx[9].start |
192.458 |
transcript.whisperx[9].end |
192.758 |
transcript.whisperx[9].text |
徐欣瑩徐欣瑩徐欣瑩 |
transcript.whisperx[10].start |
215.214 |
transcript.whisperx[10].end |
215.354 |
transcript.whisperx[10].text |
徐欣瑩:徐欣瑩 |
transcript.whisperx[11].start |
234.031 |
transcript.whisperx[11].end |
234.071 |
transcript.whisperx[11].text |
徐欣瑩 |
transcript.whisperx[12].start |
258.757 |
transcript.whisperx[12].end |
259.398 |
transcript.whisperx[12].text |
徐欣瑩徐欣瑩 |
transcript.whisperx[13].start |
279.481 |
transcript.whisperx[13].end |
280.242 |
transcript.whisperx[13].text |
徐欣瑩徐欣瑩徐欣瑩徐欣瑩 |
transcript.whisperx[14].start |
302.953 |
transcript.whisperx[14].end |
307.902 |
transcript.whisperx[14].text |
請主席再給本席30秒。我們要反映一下有關健保總額點數的問題。 |
transcript.whisperx[15].start |
310.725 |
transcript.whisperx[15].end |
311.205 |
transcript.whisperx[15].text |
徐欣瑩徐欣瑩徐欣瑩徐欣瑩 |
transcript.whisperx[16].start |
337.37 |
transcript.whisperx[16].end |
337.59 |
transcript.whisperx[16].text |
徐欣瑩:徐欣瑩 |
transcript.whisperx[17].start |
364.875 |
transcript.whisperx[17].end |
374.061 |
transcript.whisperx[17].text |
OK,我想委員說的確實,就是說我們那個在總額支付的一個制度之下,我想這個因為人口成長,我想這個相對的應該也來做一些考量。 |
transcript.whisperx[18].start |
374.923 |
transcript.whisperx[18].end |
376.544 |
transcript.whisperx[18].text |
徐欣瑩徐欣瑩徐欣瑩徐欣瑩徐欣瑩徐欣瑩 |
transcript.whisperx[19].start |
397.108 |
transcript.whisperx[19].end |
397.288 |
transcript.whisperx[19].text |
徐欣瑩委員 |