{"id":32,"date":"2012-10-19T10:15:08","date_gmt":"2012-10-19T02:15:08","guid":{"rendered":"http:\/\/web.csh.org.tw\/web\/221000\/?page_id=32"},"modified":"2024-04-12T11:24:29","modified_gmt":"2024-04-12T03:24:29","slug":"%e7%a0%94%e7%a9%b6%e6%95%99%e8%82%b2%e8%a8%93%e7%b7%b4","status":"publish","type":"page","link":"https:\/\/web.csh.org.tw\/web\/221000\/?page_id=32","title":{"rendered":"\u6559\u80b2\u8a13\u7df4"},"content":{"rendered":"\n

\u8acb\u9ede\u9078\u4ee5\u4e0b\u9023\u7d50\u4e26\u767b\u5165TMS\u65b0\u6578\u4f4d\u5b78\u7fd2\u5e73\u53f0\uff0c\u8b1d\u8b1d<\/span><\/h3>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
\u984c \u76ee<\/b><\/div><\/span><\/th>
\u4e3b \u8b1b \u4eba<\/b><\/div><\/span><\/th>\n<\/tr>\n<\/thead>\n
SPSS \u8edf\u9ad4\u7c21\u4ecb\u8207\u4f7f\u7528<\/a><\/td>\u6b23\u9686\u8cc7\u8a0a\u6709\u9650\u516c\u53f8\u8a31\u5b5f\u52d6\u9867\u554f<\/td>\n<\/tr>\n
Redefining Precision Health through Collaborative AI Innovations<\/a><\/td>\u7f8e\u570b\u570b\u5bb6\u885b\u751f\u7814\u7a76\u9662\u8303\u63da\u653f\u6559\u6388<\/td>\n<\/tr>\n
\u6211\u505a\u7684\u7814\u7a76\uff0c\u9700\u8981IRB\u5be9\u67e5\u55ce\uff1f<\/a><\/td>\u6797\u5fd7\u7ff0\u526f\u4e3b\u4efb<\/td>\n<\/tr>\n
\u7c92\u7dda\u9ad4\u5728\u4eba\u9ad4\u5065\u5eb7\u3001\u8001\u5316\u548c\u75be\u75c5\u626e\u6f14\u7684\u89d2\u8272<\/a><\/td>\u5f70\u5316\u57fa\u7763\u6559\u91ab\u9662\u7c92\u7dda\u9ad4\u91ab\u5b78\u66a8\u81ea\u7531\u57fa\u7814\u7a76\u9662\u9b4f\u8000\u63ee\u9662\u9577<\/td>\n<\/tr>\n
\u63d0\u5347\u7814\u7a76\u6548\u7387\uff1a\u5584\u7528 Web of Science \u8207 AI \u5feb\u901f\u638c\u63e1\u6587\u737b\u8da8\u52e2<\/a><\/td>Clarivate\u79d1\u777f\u552f\u5b89 \u5927\u5b78\u8207\u653f\u5e9c\u90e8\u9580\u5b98\u6b23\u7469\u8cc7\u6df1\u7b56\u7565\u9867\u554f<\/td>\n<\/tr>\n
\u751f\u6210\u5f0fAI\u65bc\u91ab\u5b78\u7814\u7a76\u7684\u5be6\u8e10\u8207\u5c55\u671b\uff1aAzure OpenAI & Copilot\u6280\u8853\u8207\u570b\u969b\u61c9\u7528\u89c0\u5bdf<\/a><\/td>\u53f0\u7063\u5fae\u8edf\u5289\u81f4\u5b8f\u7e3d\u76e3<\/td>\n<\/tr>\n
Real-World Study\u7684\u9650\u5236\u8207\u89e3\u65b9\uff1aTarget Trial Emulation\u771f\u80fd\u898b\u6548\u55ce\uff1f<\/a><\/td>\u9ec3\u666f\u63da\u535a\u58eb<\/td>\n<\/tr>\n
\u64cd\u4f5c GBD Tools\uff1a\u5f9e\u6578\u64da\u63d0\u53d6\u5230\u8996\u89ba\u5316\u5206\u6790<\/a><\/td>\u9ec3\u5b8f\u6069\u7d71\u8a08\u5e2b<\/td>\n<\/tr>\n
\u8f15\u9b06\u4e0a\u624b\uff1a\u7f8e\u570b\u5065\u5eb7\u71df\u990a\u8abf\u67e5\u8cc7\u6599\u5eab(NHANES)<\/a><\/td>\u738b\u79c0\u82f1\u7814\u7a76\u54e1<\/td>\n<\/tr>\n
AI \u00d7 \u91ab\u5e2b\u7684\u81e8\u5e8a\u751f\u6d3b\uff1aLLM\u5e36\u4f86\u7684\u8b8a\u5316<\/a><\/td>\u5f70\u5316\u57fa\u7763\u6559\u91ab\u9662\u65bd\u67cf\u4e1e\u91ab\u5e2b<\/td>\n<\/tr>\n
\u7814\u7a76\u8a08\u756b PICO & TriNetX\u4ecb\u7d39<\/a><\/td>\u5f70\u5316\u57fa\u7763\u6559\u91ab\u9662\u65bd\u67cf\u4e1e\u91ab\u5e2b<\/td>\n<\/tr>\n
Database Infrastructure for Modern EMR Research<\/a><\/td>\u7f8e\u570b\u54c8\u4f5b\u5927\u5b78\u91ab\u5b78\u9662\u6797\u594e\u4f51\u526f\u6559\u6388<\/td>\n<\/tr>\n
\u504f\u9109\u793e\u5340\u5065\u5eb7\u8001\u5316\u7684\u5be6\u8e10<\/a><\/td>\u570b\u5bb6\u885b\u751f\u7814\u7a76\u9662-\u8a31\u5fd7\u6210\u57f7\u884c\u9577<\/td>\n<\/tr>\n
Multi-modal pharmaco-epidemiological research for drug safety monitoring-a case of COVID-19 vaccine during pandemic<\/a><\/td>\u9999\u6e2f\u5927\u5b78\u53ca\u82f1\u570b\u963f\u65af\u9813\u5927\u5b78\u9ec3\u5fd7\u57fa\u6559\u6388<\/td>\n<\/tr>\n
\u5168\u7403\u75be\u75c5\u8ca0\u64d4Global burden of disease, GBD\u8cc7\u6599\u5eab\u7c21\u4ecb\u53ca\u64cd\u4f5c\u6d41\u7a0b<\/a><\/td>\u9ec3\u5b8f\u6069\u7d71\u8a08\u5e2b<\/td>\n<\/tr>\n
\u751f\u6210\u5f0fAI\u500b\u4eba\u7d93\u9a57\u5206\u4eab<\/a><\/td>\u6731\u8ed2\u7def\u91ab\u5e2b<\/td>\n<\/tr>\n
\u81e8\u5e8a\u7814\u7a76\u7684\u9006\u8f49\u88c1\u5224\u2014\u8207\u5be9\u7a3f\u8005\u7684\u56e0\u679c\u63a8\u65b7\u653b\u9632\u6230<\/a><\/td>\u8cf4\u5609\u93ae\u6559\u6388<\/td>\n<\/tr>\n
\u771f\u5be6\u4e16\u754c\u4e2d\u7684\u7d30\u80de\u6cbb\u7642\u5230CAR-T\u7642\u6cd5<\/a><\/td>\u5deb\u5eb7\u7199\u4e3b\u4efb<\/td>\n<\/tr>\n
Big Data Transformation and Medical AI<\/a><\/td>\u7f8e\u570b\u570b\u5bb6\u885b\u751f\u7814\u7a76\u9662\u8303\u63da\u653f\u6559\u6388<\/td>\n<\/tr>\n
ChatGPT\u8f14\u52a9\u8ad6\u6587\u5beb\u4f5c<\/a><\/td>\u90ed\u67cf\u9091<\/td>\n<\/tr>\n
\u81e8\u5e8a\u91ab\u4e8b\u4eba\u54e1\u505a\u81e8\u5e8a\u91ab\u5b78\u7814\u7a76\uff1a\u6211\u7684\u5152\u91ab\u81e8\u5e8a\u7814\u7a76<\/a><\/td>\u9673\u5049\u5fb7\u6559\u6388<\/td>\n<\/tr>\n
\u6211\u7684\u7814\u7a76\u65c5\u7a0b\u8207\u8d85\u9ad8\u9f61\u793e\u6703\u7684\u7814\u7a76\u5951\u6a5f<\/a><\/td>\u570b\u5bb6\u885b\u751f\u7814\u7a76\u9662-\u8a31\u5fd7\u6210\u57f7\u884c\u9577<\/td>\n<\/tr>\n
\u4ee5\u5927\u6578\u64da\u7814\u7a76\u63a2\u8a0e\u7cd6\u5c3f\u75c5\u65b0\u85e5\u7684\u53ef\u80fd\u65b0\u9069\u61c9\u75c7<\/a><\/td>\u984f\u798f\u9806\u9662\u9577<\/td>\n<\/tr>\n
TriNetX \u5168\u7403\u96fb\u5b50\u75c5\u6b77\u806f\u76df\u73fe\u6cc1\u8207\u672a\u4f86<\/a><\/td>TriNetX-Steve Lethbridge\u526f\u7e3d\u88c1<\/td>\n<\/tr>\n
Real-World Evidence to support regulatory decisions<\/a><\/td>\u9673\u5efa\u7152\u6559\u6388<\/td>\n<\/tr>\n
\u91ab\u5b78\u82f1\u6587\u5beb\u4f5c\uff1a\u5341\u8aa1\u7df4\u7fd2\u6cd5<\/a><\/td>\u6c88\u6b66\u5178\u6559\u6388<\/td>\n<\/tr>\n
\u91ab\u5b78\u8ad6\u6587\u5beb\u4f5c\u7684\u57fa\u672c\u539f\u5247\u8207\u67b6\u69cb<\/a><\/td>\u9b4f\u6b63\u5b97\u6559\u6388<\/td>\n<\/tr>\n
\u7d71\u5408\u5206\u6790\u7684\u904e\u53bb\u3001\u73fe\u5728\u548c\u672a\u4f86<\/a><\/td>\u675c\u88d5\u5eb7\u6559\u6388<\/td>\n<\/tr>\n
\u85e5\u7269\u6d41\u884c\u75c5\u5b78\u7684\u7814\u7a76\u8a2d\u8a08\u8207\u7d93\u9a57\u5206\u4eab<\/a><\/td>\u912d\u975c\u862d\u6559\u6388<\/td>\n<\/tr>\n
\u5982\u4f55\u64b0\u5beb\u5927\u6578\u64da\u7814\u7a76\u8ad6\u6587<\/a><\/td>\u5ed6\u52c7\u67cf\u6559\u6388<\/td>\n<\/tr>\n
\u5982\u4f55\u554f\u4e00\u500b\u597d\u7684\u7814\u7a76\u554f\u984c<\/a><\/td>\u5f35\u4eba\u5c39\u91ab\u5e2b<\/td>\n<\/tr>\n
\u5982\u4f55\u4e32\u806f\u5927\u6578\u64da\u7814\u7a76\u8207\u8f49\u8b6f\u91ab\u5b78\u7814\u7a76<\/a><\/td>\u9673\u4fe1\u83ef\u91ab\u5e2b<\/td>\n<\/tr>\n
\u5927\u6578\u64da\u81e8\u5e8a\u7814\u7a76\u7684\u5165\u9580\u65b9\u6cd5\u8207\u5de5\u5177<\/a><\/td>\u9b4f\u6b63\u5b97\u6559\u6388<\/td>\n<\/tr>\n
\u7814\u7a76\u8a08\u756b\u4e4b\u64b0\u5beb\u8207\u7533\u8acb<\/a><\/td>\u90ed\u78a7\u7167\u526f\u6559\u6388<\/td>\n<\/tr>\n
\u5b78\u601d\u6b77\u7a0b\uff1a\u56de\u9867\u8207\u5206\u4eab<\/a><\/td>\u6881\u8ce1\u7fa9\u9662\u58eb<\/td>\n<\/tr>\n
\u7cfb\u7d71\u6027\u56de\u9867\u8207\u7d71\u5408\u5206\u6790<\/a><\/td>\u8449\u5fd7\u5db8\u6559\u6388<\/td>\n<\/tr>\n
\u81e8\u5e8a\u7814\u7a76\u5e38\u7528\u4e4b\u7d71\u8a08\u65b9\u6cd5<\/a><\/td>\u9ec3\u666f\u63da\u535a\u58eb<\/td>\n<\/tr>\n
\u81e8\u5e8a\u7814\u7a76\u4e4b\u6d41\u884c\u75c5\u5b78\u57fa\u672c\u6982\u5ff5<\/a><\/td>\u9ec3\u666f\u63da\u535a\u58eb<\/td>\n<\/tr>\n
\u81e8\u5e8a\u7814\u7a76\u8207\u5be6\u8b49\u91ab\u5b78\u6982\u8ad6<\/a><\/td>\u9b4f\u6b63\u5b97\u6559\u6388<\/td>\n<\/tr>\n
\u7522\u5275\u8ad6\u58c7-\u5927\u75ab\u4e4b\u5f8c\u2026\u53f0\u7063\u91ab\u7642\u9ad4\u7cfb\u7684\u6a5f\u6703\u8207\u6311\u6230<\/a><\/td>\u5f35\u9d3b\u4ec1\u8463\u4e8b\u9577<\/td>\n<\/tr>\n
Systematic Review and Network Meta-Analysis<\/a><\/td>\u54c8\u4f5b-\u7d00\u653f\u826f\u7814\u7a76\u54e1<\/td>\n<\/tr>\n
ChatGPT\u65bc\u79d1\u5b78\u7814\u7a76\u4e4b\u61c9\u7528<\/a><\/td>\u9673\u79c0\u654f\u535a\u58eb<\/td>\n<\/tr>\n
\u518d\u8ac7HSR (Health Services Research) \u4ee5\u201c\u80cc\u9aa8\u201d\u7684\u5167\u79d1\u671f\u520aJAMA Intern Med\u7684HSR\u7814\u7a76\u70ba\u7bc4\u4f8b<\/a><\/td>\u5442\u5b97\u5b78\u6559\u6388<\/td>\n<\/tr>\n
\u7522\u5275\u8ad6\u58c7-\u91ab\u7642\u4eba\u54e1\u7684\u53e6\u4e00\u6247\u7a97\uff1a\u751f\u6280\u5275\u696d\u5206\u4eab<\/a><\/td>\u9673\u5fb7\u79ae\u8463\u4e8b\u9577<\/td>\n<\/tr>\n
\u7522\u5275\u8ad6\u58c7-\u91ab\u7642\u8207\u5584\u7d93\u6fdf<\/a><\/td>\u4f55\u65e5\u751f\u526f\u57f7\u884c\u9577<\/td>\n<\/tr>\n
\u7522\u5275\u8ad6\u58c7-\u8d70\u51fa\u767d\u8272\u5de8\u5854\u7684\u91ab\u5e2b\u8207\u751f\u6280\u91ab\u7642\u7522\u696d<\/a><\/td>\u6797\u4e15\u5bb9\u7e3d\u88c1<\/td>\n<\/tr>\n
\u7576\u7d71\u5408\u5206\u6790\u9047\u5230\u4eba\u5de5\u667a\u6167<\/a><\/td>\u5433\u6613\u6f84\u91ab\u5e2b<\/td>\n<\/tr>\n
AI \u5354\u52a9\u8ad6\u6587\u5beb\u4f5c- \u4ee5 Chat GPT \u70ba\u4f8b<\/a><\/td>\u9673\u6cbb\u7dad\u6559\u6388<\/td>\n<\/tr>\n
\u5fd9\u788c\u7684\u81e8\u5e8a\u91ab\u5e2b\u5982\u4f55\u958b\u5c55\u7814\u7a76<\/a><\/td>\u9b4f\u6b63\u5b97\u6559\u6388<\/td>\n<\/tr>\n
\u6211\u7684\u4e00\u8def\u8de8\u57df<\/a><\/td>\u9673\u6cbb\u7dad\u6559\u6388<\/td>\n<\/tr>\n
\u5982\u4f55\u5229\u7528\u751f\u7269\u8cc7\u6599\u5eab\u7522\u751f\u9ad8\u5206\u8ad6\u6587<\/a><\/td>\u5289\u70af\u8f1d\u8001\u5e2b<\/td>\n<\/tr>\n
TriNetX\u8cc7\u6599\u5eab\u64cd\u4f5c\u793a\u7bc4<\/a><\/td>\u738b\u79c0\u82f1\u7814\u7a76\u54e1<\/td>\n<\/tr>\n
\u884c\u653f\u8cc7\u6599\u4e0d\u540c\u500b\u6848\u5b9a\u7fa9\u4f5c\u6cd5(algorithms)\u6e96\u78ba\u5ea6\u7814\u7a76<\/a><\/td>\u5442\u5b97\u5b78\u6559\u6388<\/td>\n<\/tr>\n
\u96f2\u7aef\u75c5\u6b77\u7cfb\u7d71LUMOS 3.0\u65b0\u529f\u80fd\u793a\u7bc4\u53ca\u7814\u7a76\u69cb\u60f3\u8a0e\u8ad6<\/a><\/td>\u83ef\u78a9<\/td>\n<\/tr>\n
\u9304\u5f71\u3001\u526a\u8f2f\u8edf\u9ad4\u8ab2\u7a0b<\/a><\/td>\u6f58\u5fb7\u660e\u7d93\u7406<\/td>\n<\/tr>\n
SR\u6587\u737b\u641c\u5c0b<\/a><\/td>\u5f35\u6167\u747e\u8b1b\u5e2b<\/td>\n<\/tr>\n
\u4e0d\u7528\u5beb\u7a0b\u5f0f\u4e5f\u80fd\u5b8c\u6210AI\u91ab\u5b78\u7814\u7a76\u7684\u65b9\u6cd5<\/a><\/td>\u6c90\u6069\u751f\u91ab<\/td>\n<\/tr>\n
\u7531\u8a3a\u65b7\u6e96\u78ba\u5ea6\u7814\u7a76STARD\u8ac7ICD\u7de8\u78bc\u6e96\u78ba\u5ea6\u7814\u7a76<\/a><\/td>\u5442\u5b97\u5b78\u6559\u6388<\/td>\n<\/tr>\n
\u4f7f\u7528\u8cc7\u6599\u5eab\u9032\u884c\u6d41\u884c\u75c5\u5b78\u8ad6\u6587\u5beb\u4f5c\u898f\u7bc4<\/a><\/td>\u6d2a\u582f\u6c11\u91ab\u5e2b<\/td>\n<\/tr>\n
TriNetX Training for Chung Shan Medical Hospital<\/a><\/td>TriNetX<\/td>\n<\/tr>\n
NHANES\u8cc7\u6599\u5eab\u4ecb\u7d39<\/a><\/td>\u738b\u79c0\u82f1\u7814\u7a76\u54e1<\/td>\n<\/tr>\n
EMR Search \u4ecb\u7d39\uff1a\u57fa\u65bc RWD \u4e4b\u6578\u4f4d\u75c5\u6b77\u641c\u5c0b\u7cfb\u7d71<\/a><\/td>\u6234\u777f\u9821\u7d93\u7406<\/td>\n<\/tr>\n
How to write a correspondence letter to editor<\/a><\/td>\u9b4f\u6b63\u5b97\u6559\u6388<\/td>\n<\/tr>\n
107\u4eba\u9ad4\u751f\u7269\u8cc7\u6599\u5eab\u7ba1\u7406\u4e2d\u5fc3\u7dda\u4e0a\u6559\u80b2\u8a13\u7df4<\/a><\/td>\u4eba\u9ad4\u751f\u7269\u8cc7\u6599\u5eab\u7ba1\u7406\u4e2d\u5fc3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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