<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="th">
<Esri>
<CreaDate>20250814</CreaDate>
<CreaTime>13572600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20250814" Time="132555" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass E:\ArcPro\ECS\ECS1\HSI_p4.gdb p4_1_2_join_XY POINT GPLYR_{2A6E5345-F5DF-481E-8F8D-D198CF37096D} DISABLED DISABLED "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # 0 0 0 # SAME_AS_TEMPLATE</Process>
<Process Date="20250814" Time="132559" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\XYTableToPoint">XYTableToPoint p4_1_2_join E:\ArcPro\ECS\ECS1\HSI_p4.gdb\p4_1_2_join_XY lon lat # "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision"</Process>
<Process Date="20250814" Time="133834" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Merge">Merge p4_1_2_join_XY;p4_3_4_join_XY;p4_5_6_join_XY;p4_7_8_join_XY E:\ArcPro\ECS\ECS1\HSI_p4.gdb\HSI_p4_analysis "objectid_1 "objectid" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,objectid_1,-1,-1,p4_3_4_join_XY,objectid_1,-1,-1,p4_5_6_join_XY,objectid_1,-1,-1,p4_7_8_join_XY,objectid_1,-1,-1;name4 "name4" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,name4,0,254,p4_3_4_join_XY,name4,0,254,p4_5_6_join_XY,name4,0,254,p4_7_8_join_XY,name4,0,254;maincode_new4 "maincode_new4" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,maincode_new4,0,254,p4_3_4_join_XY,maincode_new4,0,254,p4_5_6_join_XY,maincode_new4,0,254,p4_7_8_join_XY,maincode_new4,0,254;maincode4 "maincode4" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,maincode4,0,254,p4_3_4_join_XY,maincode4,0,254,p4_5_6_join_XY,maincode4,0,254,p4_7_8_join_XY,maincode4,0,254;oldcode4 "oldcode4" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,oldcode4,0,254,p4_3_4_join_XY,oldcode4,0,254,p4_5_6_join_XY,oldcode4,0,254,p4_7_8_join_XY,oldcode4,0,254;area_health4 "area_health4" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,area_health4,-1,-1,p4_3_4_join_XY,area_health4,-1,-1,p4_5_6_join_XY,area_health4,-1,-1,p4_7_8_join_XY,area_health4,-1,-1;area_health_name4 "area_health_name4" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,area_health_name4,0,254,p4_3_4_join_XY,area_health_name4,0,254,p4_5_6_join_XY,area_health_name4,0,254,p4_7_8_join_XY,area_health_name4,0,254;changwat4 "changwat4" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,changwat4,0,254,p4_3_4_join_XY,changwat4,0,254,p4_5_6_join_XY,changwat4,0,254,p4_7_8_join_XY,changwat4,0,254;parentrowid "parentrowid" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,parentrowid,0,254,p4_3_4_join_XY,parentrowid,0,254,p4_5_6_join_XY,parentrowid,0,254,p4_7_8_join_XY,parentrowid,0,254;created_date "created_date" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,created_date,0,254,p4_3_4_join_XY,created_date,-1,-1,p4_5_6_join_XY,created_date,-1,-1,p4_7_8_join_XY,created_date,0,254;last_edited_date "last_edited_date" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,last_edited_date,0,254,p4_3_4_join_XY,last_edited_date,0,254,p4_5_6_join_XY,last_edited_date,0,254,p4_7_8_join_XY,last_edited_date,0,254;level_4 "level_4" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,level_4,0,254,p4_3_4_join_XY,level_4,0,254,p4_5_6_join_XY,level_4,0,254,p4_7_8_join_XY,level_4,0,254;level_new4 "level_new4" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,level_new4,0,254,p4_3_4_join_XY,level_new4,0,254,p4_5_6_join_XY,level_new4,0,254,p4_7_8_join_XY,level_new4,0,254;question "question" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,question,0,254,p4_3_4_join_XY,question,0,254,p4_5_6_join_XY,question,0,254,p4_7_8_join_XY,question,0,254;question_num "question_num" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,question_num,-1,-1,p4_3_4_join_XY,question_num,-1,-1,p4_5_6_join_XY,question_num,-1,-1,p4_7_8_join_XY,question_num,-1,-1;answer "answer" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,answer,0,254,p4_3_4_join_XY,answer,0,254,p4_5_6_join_XY,answer,0,254,p4_7_8_join_XY,answer,0,254;score "score" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score,-1,-1,p4_3_4_join_XY,score,-1,-1,p4_5_6_join_XY,score,-1,-1,p4_7_8_join_XY,score,-1,-1;num_low "num_low" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,num_low,-1,-1,p4_3_4_join_XY,num_low,-1,-1,p4_5_6_join_XY,num_low,-1,-1,p4_7_8_join_XY,num_low,-1,-1;num_avg "num_avg" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,num_avg,-1,-1,p4_3_4_join_XY,num_avg,-1,-1,p4_5_6_join_XY,num_avg,-1,-1,p4_7_8_join_XY,num_avg,-1,-1;num_high "num_high" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,num_high,-1,-1,p4_3_4_join_XY,num_high,-1,-1,p4_5_6_join_XY,num_high,-1,-1,p4_7_8_join_XY,num_high,-1,-1;objectid_12 "ObjectID" true true false 4 Long 0 0,First,#,p4_1_2_join_XY,objectid_12,-1,-1,p4_3_4_join_XY,objectid_12,-1,-1,p4_5_6_join_XY,objectid_12,-1,-1,p4_7_8_join_XY,objectid_12,-1,-1;globalid "GlobalID" true true false 38 Guid 0 0,First,#,p4_1_2_join_XY,globalid,-1,-1,p4_3_4_join_XY,globalid,-1,-1,p4_5_6_join_XY,globalid,-1,-1,p4_7_8_join_XY,globalid,-1,-1;uniquerowid "RowID" true true false 38 Guid 0 0,First,#,p4_1_2_join_XY,uniquerowid,-1,-1,p4_3_4_join_XY,uniquerowid,-1,-1,p4_5_6_join_XY,uniquerowid,-1,-1,p4_7_8_join_XY,uniquerowid,-1,-1;lat "ละติจูด" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,lat,-1,-1,p4_3_4_join_XY,lat,-1,-1,p4_5_6_join_XY,lat,-1,-1,p4_7_8_join_XY,lat,-1,-1;lon "ลองจิจูด" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,lon,-1,-1,p4_3_4_join_XY,lon,-1,-1,p4_5_6_join_XY,lon,-1,-1,p4_7_8_join_XY,lon,-1,-1;area_health "เขตสุขภาพที่" true true false 2 Short 0 0,First,#,p4_1_2_join_XY,area_health,-1,-1,p4_3_4_join_XY,area_health,-1,-1,p4_5_6_join_XY,area_health,-1,-1,p4_7_8_join_XY,area_health,-1,-1;area_health_name "ชื่อเขตสุขภาพ" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,area_health_name,0,254,p4_3_4_join_XY,area_health_name,0,254,p4_5_6_join_XY,area_health_name,0,254,p4_7_8_join_XY,area_health_name,0,254;changwat "จังหวัด" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,changwat,0,254,p4_3_4_join_XY,changwat,0,254,p4_5_6_join_XY,changwat,0,254,p4_7_8_join_XY,changwat,0,254;ampur "อำเภอ" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,ampur,0,254,p4_3_4_join_XY,ampur,0,254,p4_5_6_join_XY,ampur,0,254,p4_7_8_join_XY,ampur,0,254;tumbon "ตำบล" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,tumbon,0,254,p4_3_4_join_XY,tumbon,0,254,p4_5_6_join_XY,tumbon,0,254,p4_7_8_join_XY,tumbon,0,254;name1 "ชื่อโรงพยาบาล" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,name1,0,254,p4_3_4_join_XY,name1,0,254,p4_5_6_join_XY,name1,0,254,p4_7_8_join_XY,name1,0,254;maincode_new "รหัส 9 หลักใหม่" true true false 9 Text 0 0,First,#,p4_1_2_join_XY,maincode_new,0,8,p4_3_4_join_XY,maincode_new,0,8,p4_5_6_join_XY,maincode_new,0,8,p4_7_8_join_XY,maincode_new,0,8;maincode "รหัส 9 หลัก" true true false 9 Text 0 0,First,#,p4_1_2_join_XY,maincode,0,8,p4_3_4_join_XY,maincode,0,8,p4_5_6_join_XY,maincode,0,8,p4_7_8_join_XY,maincode,0,8;oldcode "รหัส 5 หลัก" true true false 5 Text 0 0,First,#,p4_1_2_join_XY,oldcode,0,4,p4_3_4_join_XY,oldcode,0,4,p4_5_6_join_XY,oldcode,0,4,p4_7_8_join_XY,oldcode,0,4;ppho "สำนักงานสาธารณสุขจังหวัด" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,ppho,0,254,p4_3_4_join_XY,ppho,0,254,p4_5_6_join_XY,ppho,0,254,p4_7_8_join_XY,ppho,0,254;typecode "ประเภทสถานพยาบาล" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,typecode,0,254,p4_3_4_join_XY,typecode,0,254,p4_5_6_join_XY,typecode,0,254,p4_7_8_join_XY,typecode,0,254;level_ "ระดับสถานพยาบาล" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,level_,0,254,p4_3_4_join_XY,level_,0,254,p4_5_6_join_XY,level_,0,254,p4_7_8_join_XY,level_,0,254;level_new "ระดับสถานพยาบาล (SAP)" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,level_new,0,254,p4_3_4_join_XY,level_new,0,254,p4_5_6_join_XY,level_new,0,254,p4_7_8_join_XY,level_new,0,254;minname "สังกัดกระทรวง" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,minname,0,254,p4_3_4_join_XY,minname,0,254,p4_5_6_join_XY,minname,0,254,p4_7_8_join_XY,minname,0,254;depname "สังกัดหน่วยงาน" true true false 255 Text 0 0,First,#,p4_1_2_join_XY,depname,0,254,p4_3_4_join_XY,depname,0,254,p4_5_6_join_XY,depname,0,254,p4_7_8_join_XY,depname,0,254;bed "จำนวนเตียง" true true false 4 Long 0 0,First,#,p4_1_2_join_XY,bed,-1,-1,p4_3_4_join_XY,bed,-1,-1,p4_5_6_join_XY,bed,-1,-1,p4_7_8_join_XY,bed,-1,-1;bed_occupancy_rate "อัตราการครองเตียง" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,bed_occupancy_rate,-1,-1,p4_3_4_join_XY,bed_occupancy_rate,-1,-1,p4_5_6_join_XY,bed_occupancy_rate,-1,-1,p4_7_8_join_XY,bed_occupancy_rate,-1,-1;report_date "วันที่บันทึกข้อมูล" true true false 8 Date 0 1,First,#,p4_1_2_join_XY,report_date,-1,-1,p4_3_4_join_XY,report_date,-1,-1,p4_5_6_join_XY,report_date,-1,-1,p4_7_8_join_XY,report_date,-1,-1;score2_low_total "score2_low_total" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score2_low_total,-1,-1,p4_3_4_join_XY,score2_low_total,-1,-1,p4_5_6_join_XY,score2_low_total,-1,-1,p4_7_8_join_XY,score2_low_total,-1,-1;score2_avg_total "score2_avg_total" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score2_avg_total,-1,-1,p4_3_4_join_XY,score2_avg_total,-1,-1,p4_5_6_join_XY,score2_avg_total,-1,-1,p4_7_8_join_XY,score2_avg_total,-1,-1;score2_high_total "score2_high_total" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score2_high_total,-1,-1,p4_3_4_join_XY,score2_high_total,-1,-1,p4_5_6_join_XY,score2_high_total,-1,-1,p4_7_8_join_XY,score2_high_total,-1,-1;score3_low_total "score3_low_total" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score3_low_total,-1,-1,p4_3_4_join_XY,score3_low_total,-1,-1,p4_5_6_join_XY,score3_low_total,-1,-1,p4_7_8_join_XY,score3_low_total,-1,-1;score3_avg_total "score3_avg_total" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score3_avg_total,-1,-1,p4_3_4_join_XY,score3_avg_total,-1,-1,p4_5_6_join_XY,score3_avg_total,-1,-1,p4_7_8_join_XY,score3_avg_total,-1,-1;score3_high_total "score3_high_total" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score3_high_total,-1,-1,p4_3_4_join_XY,score3_high_total,-1,-1,p4_5_6_join_XY,score3_high_total,-1,-1,p4_7_8_join_XY,score3_high_total,-1,-1;score4_low_total "score4_low_total" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score4_low_total,-1,-1,p4_3_4_join_XY,score4_low_total,-1,-1,p4_5_6_join_XY,score4_low_total,-1,-1,p4_7_8_join_XY,score4_low_total,-1,-1;score4_avg_total "score4_avg_total" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score4_avg_total,-1,-1,p4_3_4_join_XY,score4_avg_total,-1,-1,p4_5_6_join_XY,score4_avg_total,-1,-1,p4_7_8_join_XY,score4_avg_total,-1,-1;score4_high_total "score4_high_total" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,score4_high_total,-1,-1,p4_3_4_join_XY,score4_high_total,-1,-1,p4_5_6_join_XY,score4_high_total,-1,-1,p4_7_8_join_XY,score4_high_total,-1,-1;crude_score2 "crude_score2" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,crude_score2,-1,-1,p4_3_4_join_XY,crude_score2,-1,-1,p4_5_6_join_XY,crude_score2,-1,-1,p4_7_8_join_XY,crude_score2,-1,-1;crude_score3 "crude_score3" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,crude_score3,-1,-1,p4_3_4_join_XY,crude_score3,-1,-1,p4_5_6_join_XY,crude_score3,-1,-1,p4_7_8_join_XY,crude_score3,-1,-1;crude_score4 "crude_score4" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,crude_score4,-1,-1,p4_3_4_join_XY,crude_score4,-1,-1,p4_5_6_join_XY,crude_score4,-1,-1,p4_7_8_join_XY,crude_score4,-1,-1;safety_index_2 "ดัชนีค่าความปลอดภัยของหมวดที่ 2 (Safety Index)" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,safety_index_2,-1,-1,p4_3_4_join_XY,safety_index_2,-1,-1,p4_5_6_join_XY,safety_index_2,-1,-1,p4_7_8_join_XY,safety_index_2,-1,-1;safety_index_3 "ดัชนีค่าความปลอดภัยของหมวดที่ 3 (Safety Index)" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,safety_index_3,-1,-1,p4_3_4_join_XY,safety_index_3,-1,-1,p4_5_6_join_XY,safety_index_3,-1,-1,p4_7_8_join_XY,safety_index_3,-1,-1;safety_index_4 "ดัชนีค่าความปลอดภัยของหมวดที่ 4 (Safety Index)" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,safety_index_4,-1,-1,p4_3_4_join_XY,safety_index_4,-1,-1,p4_5_6_join_XY,safety_index_4,-1,-1,p4_7_8_join_XY,safety_index_4,-1,-1;category_2 "ลำดับดัชนีค่าความปลอดภัยของหมวดที่ 2 (Category)" true true false 20 Text 0 0,First,#,p4_1_2_join_XY,category_2,0,19,p4_3_4_join_XY,category_2,0,19,p4_5_6_join_XY,category_2,0,19,p4_7_8_join_XY,category_2,0,19;category_3 "ลำดับดัชนีค่าความปลอดภัยของหมวดที่ 3 (Category)" true true false 20 Text 0 0,First,#,p4_1_2_join_XY,category_3,0,19,p4_3_4_join_XY,category_3,0,19,p4_5_6_join_XY,category_3,0,19,p4_7_8_join_XY,category_3,0,19;category_4 "ลำดับดัชนีค่าความปลอดภัยของหมวดที่ 4 (Category)" true true false 20 Text 0 0,First,#,p4_1_2_join_XY,category_4,0,19,p4_3_4_join_XY,category_4,0,19,p4_5_6_join_XY,category_4,0,19,p4_7_8_join_XY,category_4,0,19;overall_safety_index "ดัชนีชี้วัดความปลอดภัยของโรงพยาบาล (Hospital Safety Index)" true true false 8 Double 0 0,First,#,p4_1_2_join_XY,overall_safety_index,-1,-1,p4_3_4_join_XY,overall_safety_index,-1,-1,p4_5_6_join_XY,overall_safety_index,-1,-1,p4_7_8_join_XY,overall_safety_index,-1,-1;overall_category "ลำดับดัชนีชี้วัดความปลอดภัยของโรงพยาบาล (Category)" true true false 20 Text 0 0,First,#,p4_1_2_join_XY,overall_category,0,19,p4_3_4_join_XY,overall_category,0,19,p4_5_6_join_XY,overall_category,0,19,p4_7_8_join_XY,overall_category,0,19;recommendation "ข้อเสนอแนะตามลำดับดัชนีชี้วัดความปลอดภัยของโรงพยาบาล" true true false 1000 Text 0 0,First,#,p4_1_2_join_XY,recommendation,0,999,p4_3_4_join_XY,recommendation,0,999,p4_5_6_join_XY,recommendation,0,999,p4_7_8_join_XY,recommendation,0,999;created_date_1 "created_date" true true false 8 Date 0 1,First,#,p4_1_2_join_XY,created_date_1,-1,-1,p4_3_4_join_XY,created_date_1,-1,-1,p4_5_6_join_XY,created_date_1,-1,-1,p4_7_8_join_XY,created_date_1,-1,-1;last_edited_date_1 "last_edited_date" true true false 8 Date 0 1,First,#,p4_1_2_join_XY,last_edited_date_1,-1,-1,p4_3_4_join_XY,last_edited_date_1,-1,-1,p4_5_6_join_XY,last_edited_date_1,-1,-1,p4_7_8_join_XY,last_edited_date_1,-1,-1" NO_SOURCE_INFO MANUAL_EDIT</Process>
<Process Date="20250814" Time="134147" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=E:\ArcPro\ECS\ECS1\HSI_p4.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;HSI_p4_analysis&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;DeleteField&gt;&lt;field_name&gt;globalid&lt;/field_name&gt;&lt;/DeleteField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20250814" Time="135413" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=E:\ArcPro\ECS\ECS1\HSI_p4.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;HSI_p4_analysis&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" "&lt;operationSequence&gt;&lt;workflow&gt;&lt;AddGlobalIDs /&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;"</Process>
<Process Date="20250814" Time="135727" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "E:\ArcPro\ECS\ECS1\HSI_p4.gdb\HSI_p4_analysis FeatureClass" E:\ArcPro\mophgis.sde HSI_p4_analysis "HSI_p4_analysis FeatureClass MOPHGIS.HSI_p4_analysis #"</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">HSI_p4_analysis</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">Server=phergisdb.moph.go.th; Service=sde:sqlserver:phergisdb.moph.go.th; Database=MOPHGISDB; User=mophgis; Version=sde.DEFAULT</linkage>
<protocol Sync="TRUE">ArcSDE Connection</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Geographic</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
<peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'&gt;&lt;WKT&gt;GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4326]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;999999999.99999988&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;8.983152841195215e-09&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4326&lt;/WKID&gt;&lt;LatestWKID&gt;4326&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20250814</SyncDate>
<SyncTime>13382600</SyncTime>
<ModDate>20250814</ModDate>
<ModTime>13382600</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.4.0.55405</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="tha"/>
<countryCode Sync="TRUE" value="THA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">HSI_p4_analysis</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="tha"/>
<countryCode Sync="TRUE" value="THA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4326"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.2(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="HSI_p4_analysis">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="HSI_p4_analysis">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="HSI_p4_analysis">
<enttyp>
<enttypl Sync="TRUE">HSI_p4_analysis</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">ObjectID_1</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">objectid_1</attrlabl>
<attalias Sync="TRUE">objectid</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">name4</attrlabl>
<attalias Sync="TRUE">name4</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">maincode_new4</attrlabl>
<attalias Sync="TRUE">maincode_new4</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">maincode4</attrlabl>
<attalias Sync="TRUE">maincode4</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">oldcode4</attrlabl>
<attalias Sync="TRUE">oldcode4</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">area_health4</attrlabl>
<attalias Sync="TRUE">area_health4</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">area_health_name4</attrlabl>
<attalias Sync="TRUE">area_health_name4</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">changwat4</attrlabl>
<attalias Sync="TRUE">changwat4</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">parentrowid</attrlabl>
<attalias Sync="TRUE">parentrowid</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">created_date</attrlabl>
<attalias Sync="TRUE">created_date</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_date</attrlabl>
<attalias Sync="TRUE">last_edited_date</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">level_4</attrlabl>
<attalias Sync="TRUE">level_4</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">level_new4</attrlabl>
<attalias Sync="TRUE">level_new4</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">question</attrlabl>
<attalias Sync="TRUE">question</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">question_num</attrlabl>
<attalias Sync="TRUE">question_num</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">answer</attrlabl>
<attalias Sync="TRUE">answer</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score</attrlabl>
<attalias Sync="TRUE">score</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">num_low</attrlabl>
<attalias Sync="TRUE">num_low</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">num_avg</attrlabl>
<attalias Sync="TRUE">num_avg</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">num_high</attrlabl>
<attalias Sync="TRUE">num_high</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">objectid_12</attrlabl>
<attalias Sync="TRUE">ObjectID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">globalid</attrlabl>
<attalias Sync="TRUE">GlobalID</attalias>
<attrtype Sync="TRUE">GUID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">uniquerowid</attrlabl>
<attalias Sync="TRUE">RowID</attalias>
<attrtype Sync="TRUE">GUID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">lat</attrlabl>
<attalias Sync="TRUE">ละติจูด</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">lon</attrlabl>
<attalias Sync="TRUE">ลองจิจูด</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">area_health</attrlabl>
<attalias Sync="TRUE">เขตสุขภาพที่</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">area_health_name</attrlabl>
<attalias Sync="TRUE">ชื่อเขตสุขภาพ</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">changwat</attrlabl>
<attalias Sync="TRUE">จังหวัด</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ampur</attrlabl>
<attalias Sync="TRUE">อำเภอ</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">tumbon</attrlabl>
<attalias Sync="TRUE">ตำบล</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">name1</attrlabl>
<attalias Sync="TRUE">ชื่อโรงพยาบาล</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">maincode_new</attrlabl>
<attalias Sync="TRUE">รหัส 9 หลักใหม่</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">9</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">maincode</attrlabl>
<attalias Sync="TRUE">รหัส 9 หลัก</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">9</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">oldcode</attrlabl>
<attalias Sync="TRUE">รหัส 5 หลัก</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ppho</attrlabl>
<attalias Sync="TRUE">สำนักงานสาธารณสุขจังหวัด</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">typecode</attrlabl>
<attalias Sync="TRUE">ประเภทสถานพยาบาล</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">level_</attrlabl>
<attalias Sync="TRUE">ระดับสถานพยาบาล</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">level_new</attrlabl>
<attalias Sync="TRUE">ระดับสถานพยาบาล (SAP)</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">minname</attrlabl>
<attalias Sync="TRUE">สังกัดกระทรวง</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">depname</attrlabl>
<attalias Sync="TRUE">สังกัดหน่วยงาน</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">bed</attrlabl>
<attalias Sync="TRUE">จำนวนเตียง</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">bed_occupancy_rate</attrlabl>
<attalias Sync="TRUE">อัตราการครองเตียง</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">report_date</attrlabl>
<attalias Sync="TRUE">วันที่บันทึกข้อมูล</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">1</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score2_low_total</attrlabl>
<attalias Sync="TRUE">score2_low_total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score2_avg_total</attrlabl>
<attalias Sync="TRUE">score2_avg_total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score2_high_total</attrlabl>
<attalias Sync="TRUE">score2_high_total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score3_low_total</attrlabl>
<attalias Sync="TRUE">score3_low_total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score3_avg_total</attrlabl>
<attalias Sync="TRUE">score3_avg_total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score3_high_total</attrlabl>
<attalias Sync="TRUE">score3_high_total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score4_low_total</attrlabl>
<attalias Sync="TRUE">score4_low_total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score4_avg_total</attrlabl>
<attalias Sync="TRUE">score4_avg_total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">score4_high_total</attrlabl>
<attalias Sync="TRUE">score4_high_total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">crude_score2</attrlabl>
<attalias Sync="TRUE">crude_score2</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">crude_score3</attrlabl>
<attalias Sync="TRUE">crude_score3</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">crude_score4</attrlabl>
<attalias Sync="TRUE">crude_score4</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">safety_index_2</attrlabl>
<attalias Sync="TRUE">ดัชนีค่าความปลอดภัยของหมวดที่ 2 (Safety Index)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">safety_index_3</attrlabl>
<attalias Sync="TRUE">ดัชนีค่าความปลอดภัยของหมวดที่ 3 (Safety Index)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">safety_index_4</attrlabl>
<attalias Sync="TRUE">ดัชนีค่าความปลอดภัยของหมวดที่ 4 (Safety Index)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">category_2</attrlabl>
<attalias Sync="TRUE">ลำดับดัชนีค่าความปลอดภัยของหมวดที่ 2 (Category)</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">category_3</attrlabl>
<attalias Sync="TRUE">ลำดับดัชนีค่าความปลอดภัยของหมวดที่ 3 (Category)</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">category_4</attrlabl>
<attalias Sync="TRUE">ลำดับดัชนีค่าความปลอดภัยของหมวดที่ 4 (Category)</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">overall_safety_index</attrlabl>
<attalias Sync="TRUE">ดัชนีชี้วัดความปลอดภัยของโรงพยาบาล (Hospital Safety Index)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">overall_category</attrlabl>
<attalias Sync="TRUE">ลำดับดัชนีชี้วัดความปลอดภัยของโรงพยาบาล (Category)</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">recommendation</attrlabl>
<attalias Sync="TRUE">ข้อเสนอแนะตามลำดับดัชนีชี้วัดความปลอดภัยของโรงพยาบาล</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">created_date_1</attrlabl>
<attalias Sync="TRUE">created_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">1</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_date_1</attrlabl>
<attalias Sync="TRUE">last_edited_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">1</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20250814</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
