[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$apiParty6fBuHLCPZ1LTYs42XHdVbjpSDOYYPYzyxeAGwSN5Tp8":3,"$apiParty__sXPQQuZ9CuWrj7TfsF2rN7-X_3S-4wWcmXDJenB6I":563,"$apiParty__sXPQQuZ9CuWrj7TfsF2rN7-X_3S-4wWcmXDJenB6I$H93EERW16b":563},{"product_data":4,"scene_data":21,"task_data":407,"modality_data":441,"domain_data":478},[5,9,12,15,18],{"name":6,"value":7,"add_value":8,"describe":8},"Rivo","1","",{"name":10,"value":11,"add_value":8,"describe":8},"Cubo","2",{"name":13,"value":14,"add_value":8,"describe":8},"Moye","3",{"name":16,"value":17,"add_value":8,"describe":8},"Juro","4",{"name":19,"value":20,"add_value":8,"describe":8},"Ordo","5",[22,73,135,197,232,267,302,337,372],{"name":23,"value":7,"add_value":24,"describe":25,"children":26},"Home & Indoor","sofa","AI enhances everyday home life. Our datasets cover real indoor scenes to support smart devices, robotics, and home intelligence.",[27,29,31,33,35,37,40,43,46,49,52,55,58,61,64,67,70],{"name":28,"value":7},"Living Room",{"name":30,"value":11},"Bedroom",{"name":32,"value":14},"Kitchen",{"name":34,"value":17},"Dining Area",{"name":36,"value":20},"Bathroom",{"name":38,"value":39},"Entrance \u002F Foyer","6",{"name":41,"value":42},"Corridor \u002F Hallway","7",{"name":44,"value":45},"Staircase","8",{"name":47,"value":48},"Home Office","9",{"name":50,"value":51},"Hobby \u002F Game Room","10",{"name":53,"value":54},"Worship Space","11",{"name":56,"value":57},"Garage","12",{"name":59,"value":60},"Utility \u002F Laundry Room","13",{"name":62,"value":63},"Pantry","14",{"name":65,"value":66},"Basement","15",{"name":68,"value":69},"Garden","16",{"name":71,"value":72},"Balcony","17",{"name":74,"value":11,"add_value":75,"describe":76,"children":77},"Office & Educational","workshop","AI is reshaping work and learning. Our datasets capture offices and classrooms to power automation and next-generation productivity tools.",[78,81,84,87,90,93,96,99,102,105,108,111,114,117,120,123,126,129,132],{"name":79,"value":80},"Open Office","18",{"name":82,"value":83},"Private Office","19",{"name":85,"value":86},"Co-working Space","20",{"name":88,"value":89},"Reception \u002F Lobby","21",{"name":91,"value":92},"Conference Room","22",{"name":94,"value":95},"Huddle Room \u002F Booth","23",{"name":97,"value":98},"Lecture Hall \u002F Auditorium","24",{"name":100,"value":101},"Classroom","25",{"name":103,"value":104},"Science Laboratory","26",{"name":106,"value":107},"Library","27",{"name":109,"value":110},"Design Studio","28",{"name":112,"value":113},"Pantry \u002F Breakroom","29",{"name":115,"value":116},"Cafeteria \u002F Canteen","30",{"name":118,"value":119},"Restroom (Commercial)","31",{"name":121,"value":122},"Gymnasium \u002F Sports Hall","32",{"name":124,"value":125},"Server Room","33",{"name":127,"value":128},"Mailroom \u002F Logistics","34",{"name":130,"value":131},"Janitorial Closet","35",{"name":133,"value":134},"Corridor \u002F Elevators","36",{"name":136,"value":14,"add_value":137,"describe":138,"children":139},"Healthcare & Medical","love-and-help","AI is advancing modern healthcare. Our datasets include clinics and hospitals to enable clinical insights and medical automation.",[140,143,146,149,152,155,158,161,164,167,170,173,176,179,182,185,188,191,194],{"name":141,"value":142},"Operating Theatre \u002F OR","37",{"name":144,"value":145},"Consultation Room","38",{"name":147,"value":148},"Treatment Room","39",{"name":150,"value":151},"Dental Clinic","40",{"name":153,"value":154},"Inpatient Ward","41",{"name":156,"value":157},"Nurse Station","42",{"name":159,"value":160},"ICU","43",{"name":162,"value":163},"NICU (Neonatal ICU)","44",{"name":165,"value":166},"Emergency Room (ER)","45",{"name":168,"value":169},"Hospital Corridor","46",{"name":171,"value":172},"Waiting Area","47",{"name":174,"value":175},"CT\u002FMRI","48",{"name":177,"value":178},"Medical Laboratory","49",{"name":180,"value":181},"Phlebotomy Room","50",{"name":183,"value":184},"Rehabilitation Gym","51",{"name":186,"value":187},"Assisted Living Room","52",{"name":189,"value":190},"Pharmacy","53",{"name":192,"value":193},"Sterile Processing Dept","54",{"name":195,"value":196},"Medical Storage","55",{"name":198,"value":17,"add_value":199,"describe":200,"children":201},"Business & Public Service","business","AI is elevating commercial and public services. Our datasets span retail, dining, and service centers to improve intelligent operations.",[202,205,208,211,214,217,220,223,226,229],{"name":203,"value":204},"Shopping Mall Atrium","86",{"name":206,"value":207},"Supermarket Shelf","87",{"name":209,"value":210},"Self-Checkout Counter","88",{"name":212,"value":213},"Restaurant Dining Hall","89",{"name":215,"value":216},"Commercial Kitchen","90",{"name":218,"value":219},"Hotel Lobby","91",{"name":221,"value":222},"Subway Platform","92",{"name":224,"value":225},"Security Checkpoint","93",{"name":227,"value":228},"Underground Parking","94",{"name":230,"value":231},"Bank Teller Zone","95",{"name":233,"value":20,"add_value":234,"describe":235,"children":236},"Industrial & Manufacturing","robot-arm","AI is modernizing industry. Our datasets capture factories and logistics spaces to support robotics and intelligent manufacturing.",[237,240,243,246,249,252,255,258,261,264],{"name":238,"value":239},"Final Assembly Line","96",{"name":241,"value":242},"Quality Control Station","97",{"name":244,"value":245},"Robotic Welding Cell","98",{"name":247,"value":248},"CNC Machining Center","99",{"name":250,"value":251},"Cleanroom","100",{"name":253,"value":254},"Automated Warehouse","101",{"name":256,"value":257},"Loading Dock","102",{"name":259,"value":260},"Sorting Center","103",{"name":262,"value":263},"Chemical Plant","104",{"name":265,"value":266},"Power Substation","105",{"name":268,"value":39,"add_value":269,"describe":270,"children":271},"Transportation & Driving","car","AI is revolutionizing mobility. Our datasets capture road networks, vehicle dynamics and traffic scenarios to support autonomous driving and intelligent transportation systems.",[272,275,278,281,284,287,290,293,296,299],{"name":273,"value":274},"Urban Intersection","56",{"name":276,"value":277},"Highway \u002F Expressway","57",{"name":279,"value":280},"Tunnel","58",{"name":282,"value":283},"Roundabout","59",{"name":285,"value":286},"School \u002F Hospital Zone","60",{"name":288,"value":289},"Toll Station","61",{"name":291,"value":292},"Construction Zone","62",{"name":294,"value":295},"Parking Garage","63",{"name":297,"value":298},"Driver Cabin","64",{"name":300,"value":301},"Adverse Weather","65",{"name":303,"value":42,"add_value":304,"describe":305,"children":306},"Outdoor & Construction","tent-tree","AI is optimizing outdoor operations. Our datasets capture construction sites, open-air work zones and outdoor infrastructure to support smart construction and autonomous outdoor machinery.",[307,310,313,316,319,322,325,328,331,334],{"name":308,"value":309},"Excavation Site","66",{"name":311,"value":312},"Scaffolding Area","67",{"name":314,"value":315},"Material Storage Yard","68",{"name":317,"value":318},"Site Entrance","69",{"name":320,"value":321},"Roadwork Zone","70",{"name":323,"value":324},"Bridge Infrastructure","71",{"name":326,"value":327},"Transmission Line","72",{"name":329,"value":330},"Open-pit Mine","73",{"name":332,"value":333},"Tunneling Site","74",{"name":335,"value":336},"Post-Disaster Rubble","75",{"name":338,"value":45,"add_value":339,"describe":340,"children":341},"Nature, Aerial & Aquatic","global-loop","AI is exploring the natural world. Our datasets capture terrestrial landscapes, aerial vistas and aquatic ecosystems to support environmental monitoring and autonomous exploration systems.",[342,345,348,351,354,357,360,363,366,369],{"name":343,"value":344},"Deep Forest","76",{"name":346,"value":347},"Farmland \u002F Crops","77",{"name":349,"value":350},"River \u002F Lake","78",{"name":352,"value":353},"Open Ocean","79",{"name":355,"value":356},"Underwater Coral Reef","80",{"name":358,"value":359},"Fish Farm","81",{"name":361,"value":362},"Mountain Terrain","82",{"name":364,"value":365},"Urban Low Altitude","83",{"name":367,"value":368},"Fire Scene","84",{"name":370,"value":371},"Desert \u002F Gobi","85",{"name":373,"value":48,"add_value":374,"describe":375,"children":376},"Virtul & Digital","siri","AI is reshaping the virtual realm. Our datasets capture digital twins, virtual environments and simulated spaces to support metaverse development and intelligent digital interaction.",[377,380,383,386,389,392,395,398,401,404],{"name":378,"value":379},"VR Social Space","106",{"name":381,"value":382},"Synthetic Driving Sim","107",{"name":384,"value":385},"Digital Twin City","108",{"name":387,"value":388},"FPS \u002F MOBA Game","109",{"name":390,"value":391},"Robotics Gym","110",{"name":393,"value":394},"AR Navigation","111",{"name":396,"value":397},"Virtual Showroom","112",{"name":399,"value":400},"Code \u002F IDE Interface","113",{"name":402,"value":403},"App GUI Screen","114",{"name":405,"value":406},"Synthetic Face\u002FID","115",[408,411,414,417,420,423,426,429,432,435,438],{"name":409,"value":7,"add_value":410,"describe":8},"Classification","rubric",{"name":412,"value":11,"add_value":413,"describe":8},"Detection","radar",{"name":415,"value":14,"add_value":416,"describe":8},"Segmentation","segmentation",{"name":418,"value":17,"add_value":419,"describe":8},"Tacking","crosshairs",{"name":421,"value":20,"add_value":422,"describe":8},"Estimation","streamline",{"name":424,"value":39,"add_value":425,"describe":8},"QA","qa",{"name":427,"value":42,"add_value":428,"describe":8},"Recognition","finger-scan",{"name":430,"value":45,"add_value":431,"describe":8},"Control","control",{"name":433,"value":48,"add_value":434,"describe":8},"Extraction","extraction",{"name":436,"value":51,"add_value":437,"describe":8},"Retrieval","retrieval",{"name":439,"value":54,"add_value":440,"describe":8},"Forecast","forecast",[442,445,448,451,454,457,460,463,466,469,472,475],{"name":443,"value":7,"add_value":444,"describe":8},"Audio","audio",{"name":446,"value":11,"add_value":447,"describe":8},"Image","image",{"name":449,"value":14,"add_value":450,"describe":8},"Text","text",{"name":452,"value":17,"add_value":453,"describe":8},"Video","video",{"name":455,"value":20,"add_value":456,"describe":8},"Multi","multi",{"name":458,"value":39,"add_value":459,"describe":8},"Document","document",{"name":461,"value":42,"add_value":462,"describe":8},"Time-Series","time-series",{"name":464,"value":45,"add_value":465,"describe":8},"3D cloud","cloud",{"name":467,"value":48,"add_value":468,"describe":8},"Code","code",{"name":470,"value":51,"add_value":471,"describe":8},"Event","event",{"name":473,"value":54,"add_value":474,"describe":8},"Motion","motion",{"name":476,"value":57,"add_value":477,"describe":8},"Interaction","interaction",[479,482,487,491,494,499,504,509,514,519,524,528,532,536,540,544,548,552,556,559],{"id":480,"value":480,"name":233,"intro":481,"add_value":234,"describe":481},2,"智能质检：利用图像识别、多模态模型对产品外观或声音、振动等数据进行分析，自动识别缺陷，提高质量控制效率。\n工业知识问答与文档理解：通过大模型理解和总结技术文档、操作手册，实现快速问答、知识检索和培训支持。\n安全监测与风险预警：实时分析视频、传感器和操作日志，识别潜在危险行为或异常状态，提前预警，保障人员和设备安全。",{"id":483,"value":483,"name":484,"intro":485,"add_value":486,"describe":485},3,"Finance & Insurance","风险评估与预测：分析大量客户数据，评估信用风险、市场风险等，预测违约概率、股价走势等，辅助金融机构决策。\n智能投顾：根据客户风险偏好、资产状况等，提供个性化投资组合建议，实时调整投资策略。\n反欺诈检测：通过分析交易数据、用户行为，识别异常交易和欺诈行为，保障金融安全。","funds",{"id":488,"value":488,"name":489,"intro":490,"add_value":269,"describe":490},1,"Transport & Automotive","智能座舱：打造多模态交互的 AI 座舱，通过语音、手势、面部识别等实现人机交互，如语音控制导航、音乐播放。\n驾驶员状态监测：识别疲劳、分心、抽烟、打电话等行为，通过大模型判断危险等级，触发相应提醒或干预机制。\n智能驾驶：AI 用于环境感知、路径规划与决策控制，使车辆能识别道路、行人、障碍物等，实现自适应巡航、自动泊车、车道保持等功能，提升驾驶安全性与便利性。",{"id":492,"value":492,"name":136,"intro":493,"add_value":137,"describe":493},4,"医学影像诊断：分析 CT、MRI 等影像，辅助医生检测疾病、识别病灶，如 AI 系统可快速发现肺部结节。\n医患对话助手：通过自然语言处理理解患者问题，提供初步健康建议或就诊指导，缓解医生接诊压力。\n智能健康管理：根据用户健康数据，提供个性化健康建议、疾病预警，如智能手环结合 AI 分析用户运动、睡眠、心率等数据。",{"id":495,"value":495,"name":496,"intro":497,"add_value":498,"describe":497},6,"Smart Devices","多模态交互：支持语音、手势、眼神等多种交互方式，如 AI 眼镜可通过语音指令实现翻译、搜索功能。\n智能感知与处理：使设备能感知环境、理解用户需求，如智能音箱根据环境噪音自动调节音量。\n个性化服务：根据用户使用习惯和偏好，提供个性化功能与服务，如智能手表为用户定制运动健身计划。","microscope",{"id":500,"value":500,"name":501,"intro":502,"add_value":503,"describe":502},8,"Law & Government","智能法律问答：面向公众或企业用户，提供合规、劳动法、婚姻继承、知识产权等常见法律问题的智能解答。\n合同审查与风险识别：利用大模型分析合同内容，识别潜在风险条款、漏洞或不合理约定，提升合同审核质量。\n法律知识图谱构建：自动梳理法规、案例、条文之间的引用关系，构建语义化知识图谱，支持智能分析和推理。","hammer",{"id":505,"value":505,"name":506,"intro":507,"add_value":508,"describe":507},7,"Education & Training","个性化学习：根据学生学习进度、能力和知识掌握情况，推送个性化学习内容与练习，如智能辅导系统为学生制定专属学习计划。\n智能教学辅助：AI 助教协助教师进行作业批改、答疑解惑，还可分析教学数据，为教师提供教学反馈，优化教学方法。\n虚拟学习环境：利用 AI 创建虚拟实验、历史场景等，让学生沉浸式学习，如在虚拟化学实验室中进行实验操作。","degree-hat",{"id":510,"value":510,"name":511,"intro":512,"add_value":513,"describe":512},5,"Agriculture & Food","作物病虫害识别与防治：通过图像识别分析农作物叶片、果实等症状，识别病虫害类型，给出防治建议，减少产量损失。\n农产品质量检测：利用图像和传感器数据，识别果蔬等农产品的成熟度、外观缺陷，进行自动分级，提高市场竞争力。\n农情监测与预测：利用卫星遥感、气象和传感器数据，结合大模型预测作物长势、干旱、洪涝等农情变化。","ph-farm",{"id":515,"value":515,"name":516,"intro":517,"add_value":518,"describe":517},9,"Retail & E-commerce","智能客服：通过自然语言对话理解用户需求，提供产品推荐、订单查询、退换货支持等服务，提升客户满意度。\n个性化营销推荐：基于用户浏览、购买、偏好等行为数据，生成个性化推荐内容与优惠策略，提高转化率和客单价。\n商品内容生成：自动撰写商品标题、卖点描述、使用说明等内容，适用于海量SKU的内容生产与多语言发布。","buy",{"id":520,"value":520,"name":521,"intro":522,"add_value":523,"describe":8},10,"Security & Protection",null,"safe-shield-line",{"id":525,"value":525,"name":526,"intro":522,"add_value":527,"describe":8},11,"Environment & Climate","weather",{"id":529,"value":529,"name":530,"intro":522,"add_value":531,"describe":8},12,"Energy & Resource","energy-leaf",{"id":533,"value":533,"name":534,"intro":522,"add_value":535,"describe":8},13,"Express & Logistics","speed-outline",{"id":537,"value":537,"name":538,"intro":522,"add_value":539,"describe":8},15,"Sports","baseball-outline",{"id":541,"value":541,"name":542,"intro":522,"add_value":543,"describe":8},16,"General Data","daily-booth",{"id":545,"value":545,"name":546,"intro":522,"add_value":547,"describe":8},17,"Content & Media","media",{"id":549,"value":549,"name":550,"intro":522,"add_value":551,"describe":8},18,"Construction","construction",{"id":553,"value":553,"name":554,"intro":522,"add_value":555,"describe":8},19,"IT & Telecom","tech",{"id":557,"value":557,"name":558,"intro":522,"add_value":498,"describe":8},20,"Science & Research",{"id":560,"value":560,"name":561,"intro":522,"add_value":562,"describe":8},21,"Language & Culture","lang",{"id":564,"unique_code":565,"title":566,"icon":8,"intro":567,"cate":483,"detail":568,"create_time":569,"update_time":570,"price":571,"view_count":560,"download_count":572,"unit":572,"amount":573,"is_create_order":572,"enterprise_id":488,"seo_keywords":574,"seo_description":575,"data_format":576,"file_size":577,"apply_scene":578,"training_task":579,"version":580,"dataset_type_id":495,"dataset_scene_id":492,"sample_file":581,"banner":8,"unit_name":8,"cate_name":449,"icon_url":8,"banner_url":8,"sample_file_url":8,"data_dict":582,"qa_list":605,"sample_metadatas":622,"text_sample_content":648,"enterprise_name":649,"enterprise_logo":650,"data_distribution":651},1168,"83ef5cce3e003e012cb0d176048066de","Pediatric Inpatient Care Plan Cross-Order Consistency Benchmark","Evaluate whether models can detect conflicts, duplicates, and incompatible arrangements across orders in pediatric inpatient care plans.","\u003Cp>This JSON benchmark represents pediatric inpatient care plans with orders for diet, activity, tests, monitoring, and treatment, along with applicable rules for checking relationships among orders. Its annotations identify conflicts, duplicates, and arrangements that cannot be carried out simultaneously, enabling evaluation of a model's ability to reason about constraints across multiple orders. It is suitable for pediatric ward care-plan review, clinical decision support research, and domain-specific medical model evaluation.\u003C\u002Fp>","2026-10-12 17:25:15","2026-10-19 17:19:33","0.00",0,5000,"pediatric inpatient dataset,order consistency benchmark,care plan review,clinical constraint reasoning,pediatric healthcare AI,medical model evaluation,order conflict detection,JSON medical data","A JSON benchmark of pediatric inpatient care plans, multiple order types, and applicable rules for evaluating cross-order consistency, conflict detection, and-","JSON","0.3GB","pediatric inpatient care management, clinical care plan verification, patient safety assessment","cross-order consistency verification, conflict detection, duplicate order identification","V1.0","rivo\u002Fsample-packages\u002F460042b8-fd39-4671-ae9c-46d3bcfc2f60\u002F20261012.zip",[583,588,593,599],{"id":572,"name":584,"field":585,"intro":586,"type":587},"File Name","file_name","File name","string",{"id":589,"name":590,"field":591,"intro":592,"type":587},8491,"Overall Consistency Status","overall_status","The derived overall consistency status of the care plan.",{"id":594,"name":595,"field":596,"intro":597,"type":598},8492,"Care Plan Record","care_plan_record","The original structured record containing patient context, care orders, and applicable rules.","object",{"id":600,"name":601,"field":602,"intro":603,"type":604},8493,"Consistency Findings","consistency_findings","Derived findings that identify conflicting, duplicate, or mutually infeasible orders.","array",[606,610,614,618],{"id":607,"question":608,"answer":609},6123,"What does the benchmark contain?","The JSON records include patient context, care orders for diet, activity, tests, monitoring, and treatment, plus applicable rules. They also provide consistency findings and an overall status for the care plan.",{"id":611,"question":612,"answer":613},6124,"Which capabilities does it evaluate?","It focuses on whether a model can apply relevant rules across multiple orders to identify conflicts, duplicates, and arrangements that cannot be carried out simultaneously, rather than checking each order in isolation.",{"id":615,"question":616,"answer":617},6125,"How can I access or use the benchmark?","Check the product page for available formats, access options, and usage instructions. The structured JSON format is designed for evaluation workflows and domain-specific model validation.",{"id":619,"question":620,"answer":621},6126,"What are the licensing terms and intended use?","Refer to the product page or the license provided with the data for the applicable terms. The benchmark is intended for research and model evaluation related to pediatric inpatient care plans; it does not replace clinical judgment or support unvalidated real-world treatment decisions.",[623,634,641],{"id":624,"relate_table":625,"relate_id":626,"file_size":572,"file_name":627,"path":8,"duration":572,"cate":483,"file_format":628,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":629,"cate_name":630,"overall_status":631,"care_plan_record":632,"consistency_findings":633},14904,"union_cubo",640554558,"样例_3.json","json","{\"overall_status\": \"inconsistent\", \"care_plan_record\": \"{\\\"patient_context\\\": {\\\"age_years\\\": 4, \\\"weight_kg\\\": 16.8}, \\\"orders\\\": [{\\\"order_number\\\": 1, \\\"domain\\\": \\\"activity\\\", \\\"instruction\\\": \\\"Strict bed rest; no out-of-bed activity.\\\", \\\"schedule\\\": \\\"08:00–12:00 today.\\\", \\\"conditions\\\": \\\"Maintain throughout the stated interval.\\\"}, {\\\"order_number\\\": 2, \\\"domain\\\": \\\"activity\\\", \\\"instruction\\\": \\\"Supervised hallway ambulation with physical therapy.\\\", \\\"schedule\\\": \\\"10:00 today.\\\", \\\"conditions\\\": \\\"Requires the patient to get out of bed during the session.\\\"}, {\\\"order_number\\\": 3, \\\"domain\\\": \\\"monitoring\\\", \\\"instruction\\\": \\\"Record temperature, pulse, and respirations.\\\", \\\"schedule\\\": \\\"Every 4 hours.\\\", \\\"conditions\\\": \\\"Continue throughout the day.\\\"}], \\\"applicable_rules\\\": [{\\\"rule_number\\\": 1, \\\"description\\\": \\\"Activity orders must be feasible within the same time interval\\\", \\\"applies_to_domains\\\": [\\\"activity\\\"], \\\"constraint\\\": \\\"A strict bed-rest order prohibiting out-of-bed activity cannot be active at the same time as an order requiring out-of-bed ambulation.\\\"}]}\", \"consistency_findings\": \"[{\\\"finding_number\\\": 1, \\\"issue_type\\\": \\\"mutually_infeasible\\\", \\\"severity\\\": \\\"moderate\\\", \\\"affected_order_numbers\\\": [1, 2], \\\"applicable_rule_numbers\\\": [1], \\\"rationale\\\": \\\"Order 1 requires strict bed rest through 12:00, while order 2 requires hallway ambulation at 10:00. The ambulation falls within the bed-rest interval, so both instructions cannot be carried out as written.\\\", \\\"suggested_resolution\\\": \\\"Ask the responsible clinician to clarify the intended activity level and revise either the bed-rest interval or the ambulation schedule.\\\"}]\"}","文本","inconsistent","{\"patient_context\": {\"age_years\": 4, \"weight_kg\": 16.8}, \"orders\": [{\"order_number\": 1, \"domain\": \"activity\", \"instruction\": \"Strict bed rest; no out-of-bed activity.\", \"schedule\": \"08:00–12:00 today.\", \"conditions\": \"Maintain throughout the stated interval.\"}, {\"order_number\": 2, \"domain\": \"activity\", \"instruction\": \"Supervised hallway ambulation with physical therapy.\", \"schedule\": \"10:00 today.\", \"conditions\": \"Requires the patient to get out of bed during the session.\"}, {\"order_number\": 3, \"domain\": \"monitoring\", \"instruction\": \"Record temperature, pulse, and respirations.\", \"schedule\": \"Every 4 hours.\", \"conditions\": \"Continue throughout the day.\"}], \"applicable_rules\": [{\"rule_number\": 1, \"description\": \"Activity orders must be feasible within the same time interval\", \"applies_to_domains\": [\"activity\"], \"constraint\": \"A strict bed-rest order prohibiting out-of-bed activity cannot be active at the same time as an order requiring out-of-bed ambulation.\"}]}","[{\"finding_number\": 1, \"issue_type\": \"mutually_infeasible\", \"severity\": \"moderate\", \"affected_order_numbers\": [1, 2], \"applicable_rule_numbers\": [1], \"rationale\": \"Order 1 requires strict bed rest through 12:00, while order 2 requires hallway ambulation at 10:00. The ambulation falls within the bed-rest interval, so both instructions cannot be carried out as written.\", \"suggested_resolution\": \"Ask the responsible clinician to clarify the intended activity level and revise either the bed-rest interval or the ambulation schedule.\"}]",{"id":635,"relate_table":625,"relate_id":636,"file_size":572,"file_name":637,"path":8,"duration":572,"cate":483,"file_format":628,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":638,"cate_name":630,"overall_status":631,"care_plan_record":639,"consistency_findings":640},14903,227716181,"样例_2.json","{\"overall_status\": \"inconsistent\", \"care_plan_record\": \"{\\\"patient_context\\\": {\\\"age_years\\\": 9, \\\"weight_kg\\\": 28.1}, \\\"orders\\\": [{\\\"order_number\\\": 1, \\\"domain\\\": \\\"monitoring\\\", \\\"instruction\\\": \\\"Check capillary blood glucose.\\\", \\\"schedule\\\": \\\"At 06:00 and 12:00 daily.\\\", \\\"conditions\\\": \\\"Use the active inpatient monitoring schedule.\\\"}, {\\\"order_number\\\": 2, \\\"domain\\\": \\\"monitoring\\\", \\\"instruction\\\": \\\"Check capillary blood glucose.\\\", \\\"schedule\\\": \\\"At 06:00 and 12:00 daily.\\\", \\\"conditions\\\": \\\"Use the active inpatient monitoring schedule.\\\"}, {\\\"order_number\\\": 3, \\\"domain\\\": \\\"monitoring\\\", \\\"instruction\\\": \\\"Record temperature, pulse, respirations, and blood pressure.\\\", \\\"schedule\\\": \\\"Every 4 hours.\\\", \\\"conditions\\\": \\\"Continue unless separately revised.\\\"}], \\\"applicable_rules\\\": [{\\\"rule_number\\\": 1, \\\"description\\\": \\\"Duplicate monitoring entries should be reconciled\\\", \\\"applies_to_domains\\\": [\\\"monitoring\\\"], \\\"constraint\\\": \\\"The same measurement at the same scheduled times should appear only once in the active schedule; duplicate entries should be merged or one should be discontinued.\\\"}]}\", \"consistency_findings\": \"[{\\\"finding_number\\\": 1, \\\"issue_type\\\": \\\"duplicate\\\", \\\"severity\\\": \\\"low\\\", \\\"affected_order_numbers\\\": [1, 2], \\\"applicable_rule_numbers\\\": [1], \\\"rationale\\\": \\\"Orders 1 and 2 specify the same measurement at the same times with the same conditions, creating duplicate entries under rule 1.\\\", \\\"suggested_resolution\\\": \\\"Confirm that the entries represent the same intended monitoring plan, then retain one order and remove or merge the duplicate.\\\"}]\"}","{\"patient_context\": {\"age_years\": 9, \"weight_kg\": 28.1}, \"orders\": [{\"order_number\": 1, \"domain\": \"monitoring\", \"instruction\": \"Check capillary blood glucose.\", \"schedule\": \"At 06:00 and 12:00 daily.\", \"conditions\": \"Use the active inpatient monitoring schedule.\"}, {\"order_number\": 2, \"domain\": \"monitoring\", \"instruction\": \"Check capillary blood glucose.\", \"schedule\": \"At 06:00 and 12:00 daily.\", \"conditions\": \"Use the active inpatient monitoring schedule.\"}, {\"order_number\": 3, \"domain\": \"monitoring\", \"instruction\": \"Record temperature, pulse, respirations, and blood pressure.\", \"schedule\": \"Every 4 hours.\", \"conditions\": \"Continue unless separately revised.\"}], \"applicable_rules\": [{\"rule_number\": 1, \"description\": \"Duplicate monitoring entries should be reconciled\", \"applies_to_domains\": [\"monitoring\"], \"constraint\": \"The same measurement at the same scheduled times should appear only once in the active schedule; duplicate entries should be merged or one should be discontinued.\"}]}","[{\"finding_number\": 1, \"issue_type\": \"duplicate\", \"severity\": \"low\", \"affected_order_numbers\": [1, 2], \"applicable_rule_numbers\": [1], \"rationale\": \"Orders 1 and 2 specify the same measurement at the same times with the same conditions, creating duplicate entries under rule 1.\", \"suggested_resolution\": \"Confirm that the entries represent the same intended monitoring plan, then retain one order and remove or merge the duplicate.\"}]",{"id":642,"relate_table":625,"relate_id":643,"file_size":572,"file_name":644,"path":8,"duration":572,"cate":483,"file_format":628,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":645,"cate_name":630,"overall_status":631,"care_plan_record":646,"consistency_findings":647},14902,1874919677,"样例_1.json","{\"overall_status\": \"inconsistent\", \"care_plan_record\": \"{\\\"patient_context\\\": {\\\"age_years\\\": 6, \\\"weight_kg\\\": 20.4}, \\\"orders\\\": [{\\\"order_number\\\": 1, \\\"domain\\\": \\\"diet\\\", \\\"instruction\\\": \\\"NPO: no food or fluids by mouth.\\\", \\\"schedule\\\": \\\"From 06:00 until completion of the scheduled procedure.\\\", \\\"conditions\\\": \\\"Applies during the pre-procedure interval.\\\"}, {\\\"order_number\\\": 2, \\\"domain\\\": \\\"diet\\\", \\\"instruction\\\": \\\"Give 120 mL of oral rehydration solution by mouth.\\\", \\\"schedule\\\": \\\"08:00 once.\\\", \\\"conditions\\\": \\\"One-time oral fluid order.\\\"}, {\\\"order_number\\\": 3, \\\"domain\\\": \\\"diagnostic_test\\\", \\\"instruction\\\": \\\"Diagnostic imaging with sedation.\\\", \\\"schedule\\\": \\\"09:30.\\\", \\\"conditions\\\": \\\"Scheduled during the active pre-procedure interval.\\\"}], \\\"applicable_rules\\\": [{\\\"rule_number\\\": 1, \\\"description\\\": \\\"Pre-procedure fasting constraint\\\", \\\"applies_to_domains\\\": [\\\"diet\\\", \\\"diagnostic_test\\\"], \\\"constraint\\\": \\\"While the NPO interval is active, no food or fluid may be given by mouth before the procedure is completed unless the order is explicitly amended by the responsible clinician.\\\"}]}\", \"consistency_findings\": \"[{\\\"finding_number\\\": 1, \\\"issue_type\\\": \\\"conflicting\\\", \\\"severity\\\": \\\"moderate\\\", \\\"affected_order_numbers\\\": [1, 2], \\\"applicable_rule_numbers\\\": [1], \\\"rationale\\\": \\\"Order 1 prohibits oral intake during the interval that includes 08:00, while order 2 directs oral fluid at 08:00. Both cannot be followed as written under rule 1.\\\", \\\"suggested_resolution\\\": \\\"Ask the responsible clinician to clarify whether the NPO interval or the oral-fluid order should be amended, then update the schedule accordingly.\\\"}]\"}","{\"patient_context\": {\"age_years\": 6, \"weight_kg\": 20.4}, \"orders\": [{\"order_number\": 1, \"domain\": \"diet\", \"instruction\": \"NPO: no food or fluids by mouth.\", \"schedule\": \"From 06:00 until completion of the scheduled procedure.\", \"conditions\": \"Applies during the pre-procedure interval.\"}, {\"order_number\": 2, \"domain\": \"diet\", \"instruction\": \"Give 120 mL of oral rehydration solution by mouth.\", \"schedule\": \"08:00 once.\", \"conditions\": \"One-time oral fluid order.\"}, {\"order_number\": 3, \"domain\": \"diagnostic_test\", \"instruction\": \"Diagnostic imaging with sedation.\", \"schedule\": \"09:30.\", \"conditions\": \"Scheduled during the active pre-procedure interval.\"}], \"applicable_rules\": [{\"rule_number\": 1, \"description\": \"Pre-procedure fasting constraint\", \"applies_to_domains\": [\"diet\", \"diagnostic_test\"], \"constraint\": \"While the NPO interval is active, no food or fluid may be given by mouth before the procedure is completed unless the order is explicitly amended by the responsible clinician.\"}]}","[{\"finding_number\": 1, \"issue_type\": \"conflicting\", \"severity\": \"moderate\", \"affected_order_numbers\": [1, 2], \"applicable_rule_numbers\": [1], \"rationale\": \"Order 1 prohibits oral intake during the interval that includes 08:00, while order 2 directs oral fluid at 08:00. Both cannot be followed as written under rule 1.\", \"suggested_resolution\": \"Ask the responsible clinician to clarify whether the NPO interval or the oral-fluid order should be amended, then update the schedule accordingly.\"}]","{\"overall_status\":\"inconsistent\",\"care_plan_record\":\"{\\\"patient_context\\\": {\\\"age_years\\\": 4, \\\"weight_kg\\\": 16.8}, \\\"orders\\\": [{\\\"order_number\\\": 1, \\\"domain\\\": \\\"activity\\\", \\\"instruction\\\": \\\"Strict bed rest; no out-of-bed activity.\\\", \\\"schedule\\\": \\\"08:00–12:00 today.\\\", \\\"conditions\\\": \\\"Maintain throughout the stated interval.\\\"}, {\\\"order_number\\\": 2, \\\"domain\\\": \\\"activity\\\", \\\"instruction\\\": \\\"Supervised hallway ambulation with physical therapy.\\\", \\\"schedule\\\": \\\"10:00 today.\\\", \\\"conditions\\\": \\\"Requires the patient to get out of bed during the session.\\\"}, {\\\"order_number\\\": 3, \\\"domain\\\": \\\"monitoring\\\", \\\"instruction\\\": \\\"Record temperature, pulse, and respirations.\\\", \\\"schedule\\\": \\\"Every 4 hours.\\\", \\\"conditions\\\": \\\"Continue throughout the day.\\\"}], \\\"applicable_rules\\\": [{\\\"rule_number\\\": 1, \\\"description\\\": \\\"Activity orders must be feasible within the same time interval\\\", \\\"applies_to_domains\\\": [\\\"activity\\\"], \\\"constraint\\\": \\\"A strict bed-rest order prohibiting out-of-bed activity cannot be active at the same time as an order requiring out-of-bed ambulation.\\\"}]}\",\"consistency_findings\":\"[{\\\"finding_number\\\": 1, \\\"issue_type\\\": \\\"mutually_infeasible\\\", \\\"severity\\\": \\\"moderate\\\", \\\"affected_order_numbers\\\": [1, 2], \\\"applicable_rule_numbers\\\": [1], \\\"rationale\\\": \\\"Order 1 requires strict bed rest through 12:00, while order 2 requires hallway ambulation at 10:00. The ambulation falls within the bed-rest interval, so both instructions cannot be carried out as written.\\\", \\\"suggested_resolution\\\": \\\"Ask the responsible clinician to clarify the intended activity level and revise either the bed-rest interval or the ambulation schedule.\\\"}]\"}","MOBIUSI INC","https:\u002F\u002Fstatic.mobiusi.com\u002Fmobiwusi\u002F20250829\u002F7bf4ac62b4533e2b809998a6f1c5491e.png?Expires=1792463130&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=v6Tr8jBrdm4s5wU1SnnyGsYg%2Bhw%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_35%2Ch_35",[652,658],{"type":653,"title":654,"count_data":655},"bar","Length distribution",[656],{"name":657,"value":483},"1k lower",{"type":659,"title":660,"count_data":661},"pie","Language distribution",[662],{"name":663,"value":483},"English"]