OrthoPoP CEO Targets Early Diagnostic Gaps in Musculoskeletal Care

OrthoPoP首席执行官聚焦骨骼肌肉疾病早期诊断缺口 一线临床医生初步评估不足导致代价高昂的误诊，促使行业亟需AI驱动的移动诊断工具来弥合从症状到确诊之间的鸿沟。 Douglas Blacklidge探讨了骨科早期诊断中的关键缺口与系统性低效，并通过一名运动员被误诊为单纯扭伤而非移位性骨折的经历阐明了这一问题。他强调了一线临床医生在无法即时获得专科知识时面临的困境，以及患者尝试通过搜索引擎自我诊断时的难题。最后，他介绍了创新解决方案OrthoPoP，旨在弥合从症状到确诊的鸿沟，并推动骨科专业诊疗见解的普及与普惠。 据 ChatGPT 等工具估算，全球每年有数十亿次关于骨科健康问题的搜索查询，显示出极大的专科医疗信息需求。 (0:04) 年轻足球运动员 Alex 在急诊中心因缺乏影像学检查被匆忙误诊为脚踝扭伤，导致其腓骨远端移位骨折被延误诊断近四周。 (0:04) 初期评估不充分导致骨折在错误位置愈合，不仅危及患者的短期康复，更威胁到其成为消防员的职业梦想。 (0:04) 初级保健医生、执业护士等一线临床医护人员构成了最庞大的医疗服务群体，但他们日常缺乏快速获取骨科专科专业知识的渠道。 (2:28) 患者自主搜索时难以将身体局部的痛点转化为精准的医学术语，这种“从症状到诊断”的脱节导致了严重的时间与金钱浪费。 (2:28)

OrthoPoP CEO and foot and ankle surgeon Douglas Blacklidge argues that structural shortcomings in early musculoskeletal triage—notably inadequate specialist access for frontline clinicians and imprecise patient self-triage—lead to preventable diagnostic delays and compromised patient outcomes. The Clinical Risks of Diagnostic Delays (0:04) To illustrate the failures of existing care pathways, Dr. Blacklidge recounts the case of Alex, an amateur soccer player whose displaced distal fibular fracture was missed during an initial evaluation at an overcrowded urgent care facility. After waiting more than two hours, Alex received a hurried examination without X-rays or advanced imaging and was discharged with standard ankle sprain instructions to ice, elevate, brace, and follow up weeks later. Because standard initial interventions—such as immediate non-weight-bearing status, splinting, and surgical consultation—were bypassed, nearly four weeks passed before follow-up imaging ordered by a primary care physician revealed that the displaced bone was healing in the wrong position. This diagnostic delay compromised Alex's recovery, threatening both his athletic participation and his aspiration to become a firefighter. Frontline Provider Constraints in Musculoskeletal Care (2:28) Blacklidge attributes these clinical failures to systemic deficits across healthcare training and delivery. Healthcare students encounter persistent difficulties learning practical, patient-centered orthopedics for both routine and uncommon musculoskeletal disorders. At the delivery level, frontline providers—such as primary care physicians, physician assistants, nurse practitioners, physical and occupational therapists, and athletic trainers—constitute the fastest-growing tier of patient care. Despite handling the initial influx of injured patients, these clinicians routinely operate without rapid, direct access to specialized orthopedic expertise, forcing patients to expend unnecessary time and money within an inefficient system. The Symptom-to-Diagnosis Search Disconnect (2:28) Patients seeking to navigate their conditions independently face significant informational hurdles. Citing ChatGPT data indicating several billion annual inquiries regarding orthopedic health, Blacklidge notes that self-directed research on search engines and consumer AI platforms often deteriorates into guesswork. This breakdown occurs because a fundamental gap separates a patient's awareness of localized physical pain from the precise medical terminology required to describe an underlying pathology. Without specialized knowledge, early-stage self-triage fails to identify the correct clinical condition, diminishing the quality of care long before an expert evaluation takes place. Dr. Blacklidge concludes that healthcare systems must address why patients face such protracted journeys to accurate musculoskeletal diagnoses, leaving open the broader operational challenge of how best to equip frontline clinical teams and patients with immediate orthopedic expertise.

OrthoPoP Inc. 首席执行官兼足踝外科医生 Douglas Blacklidge 指出，现行骨科早期分诊体系存在严重的系统性缺陷，一线医务人员缺乏专科知识支持，加之患者在局部疼痛与精准医学术语之间存在认知断层，极易导致延误诊断与资源浪费。 误诊与延误照护的人身代价 (0:04) Blacklidge 医生以年轻足球运动员 Alex 的经历阐明了现行诊疗路径的失误。Alex 在当地联赛踢球受伤后前往过度拥挤的急救门诊，排队等待超过两小时，随后仅接受了执业护士仓促且简易的检查，在未进行 X 光或高级影像检查的情况下被诊断为普通踝关节扭伤，并被医嘱予以冰敷、抬高、支具固定并在数周后随访。 四周后，因症状未见好转，其家庭医生安排了 X 光检查，结果显示其远端腓骨发生移位骨折，且骨折部位已在错位状态下愈合。Blacklidge 指出，若在初始就诊时即明确诊断，Alex 本应立即进行严格的非负重制动、使用夹板或支具并接受手术评估；近四周的延误不仅直接威胁其伤势康复与足球运动，更危及其未来成为消防员的职业梦想。 基层专科支持缺口与症状认知断层 (2:28) Blacklidge 进一步指出了肌肉骨骼照护领域的宏观系统性失灵。尽管通过 ChatGPT 查询显示全球每年有数十亿次关于骨科病症的搜索，且初级保健医生、医师助理、执业护士、物理与作业治疗师以及运动防护师构成了医疗服务中规模最大、增长最快的群体，但医学生在学习阶段难以掌握实用的患者为中心骨科知识，一线人员在实际执业中也缺乏快速获取骨科专科支持的通道，导致患者在低效系统中耗费大量时间与金钱。 与此同时，患者在患病初期往往依赖搜索引擎或 ChatGPT 等人工智能工具寻找答案，但由于不掌握精准的医学术语，自行检索极易沦为盲目猜测。Blacklidge 强调，患者感知到的身体局部疼痛点与深层疾病的诊断名称之间存在明显断层，这种在早期照护阶段的信息鸿沟直接降低了整体诊断效率。 Blacklidge 强调，医疗系统亟需反思为何患者必须承受漫长等待与误诊风险，并应重点解决从患者身体痛点到专业医疗诊断之间的转化障碍，以提升一线照护能力并优化骨科转诊路径。

## Background 该视频由人工智能行业频道 Ai4 于 2025 年 8 月 24 日发布在 YouTube 平台。视频简介介绍了 OrthoPoP 首席执行官 Douglas Blacklidge 带来的分享，重点阐释了一款具有颠覆性的 AI 赋能骨科诊断应用程序，旨在解决早期骨科护理中因决策延误造成的医疗失效，将模糊的身体痛点精准匹配至 400 多种可能病症，让专科级骨科智慧触达每位智能手机用户。 ## TL;DR 演讲以年轻运动员 Alex 因急诊误诊导致腓骨骨折畸形愈合的沉痛案例切入，深刻揭示了现代医疗在患者“主观痛点”与“明确病名”之间存在的巨大认知与流程断层。针对基层医护缺乏专科支持及患者盲目搜索的困境，OrthoPoP 打造了依托 3D 高精解剖模型与进化型 AI 驱动的专科智能平台。该工具全面赋能医学生病理教学、辅助一线临床开具检查与保险内精准转诊，并指导患者获取拟诊清单与科学处置建议。其核心目标在于打破专科精英壁垒，在战地急救、基层诊所与普通家庭等广泛场景中实现骨科医疗的公平、精准与高效。 ## Atmosphere & style 整场演讲兼具资深临床医生的悲悯情怀与医疗创新者的炽热雄心。开篇以令人扼腕的真实误诊病例营造出强烈的紧迫感与系统反思，随后转入条理清晰、紧扣痛点的产品架构与赋能逻辑剖析。结尾描摹基层医护、战地军医与普通母亲皆能从容应对伤痛的图景，情绪饱满且充满人文温度，极具感染力与共鸣感。 ## Key takeaways - [00:04](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=4s) 全球每年关于骨科疾病的网络搜索量高达数十亿次，反映出公众对骨科健康认知的焦虑与巨大未满足需求。 - [00:04](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=4s) 青年运动员 Alex 因急诊中心接诊草率且未拍 X 光，将移位的腓骨远端骨折误诊为普通扭伤，导致畸形愈合并重创职业梦想。 - [02:28](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=148s) 现代医疗在患者身体的“具体疼痛点”与“确切疾病名称”之间存在严重断层，导致患者盲目猜测并错过早期干预的黄金窗口。 - [02:28](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=148s) 基层一线医护（如执业护士 NP、助理医师 PA、物理治疗师 PT 等）普遍面临专科知识调取困难与评估工具匮乏的系统性挑战。 - [04:01](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=241s) OrthoPoP 作为颠覆性的数字化诊断桥梁，通过移动端高精 3D 解剖模型与靶向临床问答连接痛点与确诊病理。 - [04:01](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=241s) 面向医学生，OrthoPoP 提供贴近临床实操的沉浸式 3D 病理教学，帮助其直观掌握常见及罕见骨科疾病。 - [04:01](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=241s) 面向临床医护，应用深度集成检查开具、ICD-10 自动编码、护具处方及医保网络内专科精准转诊等一站式辅助功能。 - [04:01](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=241s) 面向受创患者，系统即时生成拟诊清单并提供严谨的初期护理指引，明确告知何时、何地应寻求何种级别的医疗救护。 - [05:27](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=327s) OrthoPoP 底层知识库由资深专科医生构建，涵盖 400 多种骨科疾病，并依托进化型 AI 实现随医学前沿动态自我更新。 - [05:27](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=327s) 产品核心价值聚焦于准确性、公平性、可及性与时效性，赋能战地卫生兵、基层小镇诊所以及缺乏医疗资源的普通家庭。 - [05:27](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=327s) 骨科医疗的未来不再仅仅属于身披白大褂的少数专科精英，而是属于任何手握智能手机并心怀疑问的普通人。 ## Detailed walkthrough ### [00:04](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=4s) 改变认知的病例：青年运动员 Alex 的误诊经历 每年全球有多少人通过网络搜索骨科疾病的信息？OrthoPoP 首席执行官兼足踝外科医生 Douglas Blacklidge 曾向 ChatGPT 抛出过这个问题，得到的答案是“数十亿次”。这意味着海量人群每天都在焦虑地试图弄清自身的骨科健康状况。为了改变这一现状，他带领团队开发了 OrthoPoP，一款旨在将骨科专家的顶尖洞察送达每个人指尖的应用程序。在分享技术之前，Blacklidge 回顾了一起彻底改变他执业视角的真实临床案例——一位名叫 Alex 的年轻运动员。 Alex 初次来到 Blacklidge 的诊所时，步履蹒跚、神情沮丧且满心困惑。几周前，他在当地联赛踢足球时受伤，随后被送往一家极度拥挤的紧急护理中心（Urgent Care）。他在候诊室熬了两个多小时，才匆匆见上一名执业护士（Nurse Practitioner）。整个面诊仓促草率，体格检查草草了事，中心既未拍摄 X 光片，也未安排任何高级影像学检查，便仓促将他的伤势诊断为普通的“踝关节扭伤”。医嘱让他回家冰敷、抬高患肢几天，并建议戴个护踝；若几周后未见好转，再去找初级保健家庭医生复诊。 遵照医嘱的 Alex 伤情毫无起色，数周后不得不求助于家庭医生。家庭医生随即安排了 X 光检查，结果却令人震惊：片子清晰显示 Alex 遭遇的是“移位的腓骨远端骨折”（displaced distal fibular fracture），即外踝骨骼发生断裂并且已经移位。如果在最初的急诊阶段就能明确这一诊断，Alex 的初始治疗路径将彻底不同——他应当立刻制动免负重，佩戴专业支具、步行靴或夹板固定，并迅速转诊至骨科专科评估手术必要性。遗憾的是，现实中的 Alex 白白浪费了四周时间，断骨已经在错误的位置畸形愈合。当 Blacklidge 第一次见到他时，这已不再仅仅关乎这名年轻人的绿茵场梦想，更严重威胁到了他未来成为一名消防员的职业理想。一次被轻描淡写的“扭伤”，演变成了极具破坏性、长期的复杂损伤。 - 每年全球有关骨科疾病的信息检索量高达数十亿次。 - Alex 在急诊中心候诊逾 2 小时，接诊极度仓促，且未拍摄任何 X 光或高级影像。 - 最终确诊为移位的腓骨远端骨折，因延误导致畸形愈合近四周，严重威胁其足球生涯与消防员梦想。 ### [02:28](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=148s) 医疗体系的断层：从“身体痛点”到“疾病名称”的巨大鸿沟 Alex 的遭遇并非孤例，它血淋淋地揭示了现代医疗体系在应对肌肉骨骼系统疾病时的极度低效。在当前的医学教育中，医学生们往往难以通过贴近临床、以患者为中心的方式，扎实掌握常见及罕见的骨科病理；而在临床一线，作为医疗行业增长最庞大的人群——初级保健医生、助理医师（Physician Assistant）、执业护士、物理治疗师、职能治疗师以及运动防护师（Athletic Trainer），受限于极为有限的评估工具和专科知识获取通道，即使竭尽全力，也常常无法迅速调取专业的骨科认知。 处于风暴中心的患者们更是饱受折磨。他们在设计落后、运转迟钝的医疗体系中漫长等待，徒耗大量时间与金钱。绝大多数人在感到身体某处剧痛时，会本能地诉诸“谷歌医生”（Dr. Google）或使用 ChatGPT 寻求答案，但问题在于：在不知道确切病名或明确诊断的情况下，患者究竟该搜什么？绝大多数人只能“全凭猜测”。正如 Blacklidge 所指出的，现代医疗中存在着一条深不见底的裂痕——“在你身体某个具体的疼痛点与能够被检索、了解的疾病名称之间，存在着巨大的鸿沟。”在患者最需要专业判断的早期介入黄金窗口，现行体系往往辜负了他们，而这种缺位所带来的代价是巨大的，不仅损失了时间与金钱，更直接恶化了预后效果（outcomes）。 ```mermaid flowchart TD accTitle: 从身体痛点到确诊之间的系统性困境与鸿沟 subgraph Gap["核心鸿沟 (The Diagnostic Gap)"] A["身体某处的疼痛点<br/>(Painful Point)"] --> B["患者盲目猜测<br/>(Dr. Google / AI 检索无门)"] B --> C["缺乏病理名称与认知<br/>(Unknown Condition)"] end subgraph SystemFailure["体系弊端 (System Inefficiency)"] D["基层医护缺少专科知识支持"] E["急诊流程仓促、误诊漏诊"] F["耗费大量金钱与时间成本"] end subgraph Impact["严重后果 (Critical Impact)"] G["错过最佳黄金治疗期"] H["病变恶化与不良预后<br/>(Worse Clinical Outcomes)"] end C --> D D --> E E --> F F --> G G --> H ``` - 基层一线医护群体（NP、PA、PT、OT、AT）面临工具匮乏、缺乏专科骨科支持的严峻挑战。 - 患者在面对突发伤病时陷入盲目猜测，无法将主观的“疼痛部位”转化为专业的“医学病名”。 - 早期干预缺位导致医疗资源损耗，最终直接由患者承担功能残缺或病情恶化的恶果。 ### [04:01](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=241s) OrthoPoP 赋能三方：医学生、临床医护与患者的智能桥梁 为了填补这一鸿沟，OrthoPoP 应运而生。Blacklidge 强调，这款工具绝非市面上又一个简单的数字化工具，而是一次真正具有颠覆意义的临床革新（transformational）。OrthoPoP 的底层逻辑正是架设在“身体痛点”与“已知确切病名”之间的数字化桥梁，针对三类核心用户群体量身定制了全方位的赋能路径： 面向医学与健康专业学生，该应用以生动、高互动性且贴近临床实操的方式讲授现实世界的骨科病理学。学生只需在智能手机或平板电脑上调出高度精准的 3D 解剖模型，直接点击疼痛点，便能层层解锁专科医生的深度洞见，并借助 AI 深入探索关联病理；面向一线医护人员，应用不仅协助他们现场确认诊断，更深度集成临床辅助功能——自动推荐针对该病症适配的化验检查与影像学检查项目、智能匹配对应的 ICD-10 诊断代码、直接开具护具或夹板等医疗耗材，并能自动筛选匹配患者医疗保险的院内网络（in-network）骨科专家以完成精准转诊；而对于广大患者，系统将触屏点击的疼痛位置与多道针对性核心问答结合，即时生成一份高度可信的拟诊清单（working list of likely conditions），提供严谨的初步处置建议，清晰告知患者何时、何地应当寻求何种级别的医疗救护，真正将知情权与应对掌控权交还给受创者。 ```mermaid flowchart LR accTitle: OrthoPoP 赋能三大用户群体的核心架构 subgraph Input["交互起点"] P["移动端精确 3D 解剖模型<br/>(标定身体疼痛点)"] Q["靶向临床问答交互"] end subgraph Engine["OrthoPoP 智能中枢"] Core["专家骨科知识库 + 进化型 AI"] end subgraph Users["三大赋能场景"] S["学生教学<br/>• 真实骨科病理<br/>• 互动探索学习"] Pr["临床医护<br/>• 确诊与开具检查<br/>• 匹配 ICD-10 编码<br/>• 保险网络内转诊"] Pt["受创患者<br/>• 生成拟诊清单<br/>• 早期处置指引<br/>• 就医时机指导"] end P --> Core Q --> Core Core --> S Core --> Pr Core --> Pt ``` - **教育端**：依托移动端 3D 高精解剖模型，由痛点驱动沉浸式病理教学。 - **医护端**：覆盖诊断确认、化验/影像开具、ICD-10 自动编码、耗材申请及保内专科精准转诊。 - **患者端**：痛点标记结合靶向提问，生成可能病症清单，提供初期自我护理建议与就医指引。 ### [05:27](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=327s) 专科知识库驱动未来：让专业骨科智慧触手可及 剖析 OrthoPoP 的底层架构，其基石全部由资深专科医生亲手构建，并由不断进化的 AI 技术提供算力与逻辑支撑。它不是机械地罗列冰冷数据，而是每次被使用时都会主动学习、迭代并持续精进，针对多达 400 多种骨科疾病输出高含金量的专家洞察。团队在研发时深度着眼于长远未来：每一版 OrthoPoP 都内置了与现代 AI 体系的无缝接口，既能调取关于某一确诊病症的全球最新医疗资讯，也能伴随人类医学知识的更新换代实现自我同步演进。 患者端版本的推出，真正实现了让任何人在任何地点，仅凭一台智能手机或平板电脑就能用指尖主导自己的健康介入。正如 Blacklidge 动情地表示，这绝非单纯追求“便捷”，其核心价值在于“准确性、公平性、可及性与时间”。他为现场观众描摹了一幅未来医疗的画卷：偏远小镇诊所的执业护士不再需要对着未知损伤心虚猜测、盲目推诿，而是能够胸有成竹地下达专业处置；战地卫生兵在火线能借助专科级别的知识库，在分秒必争的生死关头作出果断抉择；毫无闲暇且缺乏医保支持的单亲妈妈，能在世界的任何角落拿起手机，为跌打损伤的孩子迅速辨识病情；医学名校的尖子生与乡村医学生使用的是同一套前沿专科工具。 回溯 Alex 的悲剧，如果当时接诊他的执业护士手中拥有 OrthoPoP，或者 Alex 自己在受伤当天就能在手机上使用这款应用，整个人生的轨迹都将被彻底改写。全世界仍有数以百万计的患者在症状与确诊之间的“灰色地带”苦苦徘徊。OrthoPoP 虽然不是万能魔杖，但它是迈向更完善医学教育、更精准诊断、更低医疗开销、更高运转效率及更聪明转诊机制的划时代飞跃。“骨科医疗的未来，绝不仅属于身披白大褂的少数专科精英，”Blacklidge 在演讲尾声铿锵有力地宣告，“它属于任何一个手握智能手机并心怀疑问的普通人。” - 知识库覆盖 400 多种骨科疾病，由专科专家奠基并利用 AI 自主进化。 - 深刻践行医疗公平（equity）、触达（access）、精准（accuracy）与时效（time）。 - 覆盖战地急救、基层诊所、弱势群体家庭等多种此前骨科专家无法触及的真实场景。 ## Notable quotes > [00:04](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=4s) 每年全球有多少人通过网络搜索骨科疾病的信息？得到的答案是‘数十亿次’。 — Douglas Blacklidge > [00:04](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=4s) 一次被轻描淡写的‘扭伤’，演变成了极具破坏性、长期的复杂损伤。 — Douglas Blacklidge > [02:28](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=148s) 在你身体某个具体的疼痛点与能够被检索、了解的疾病名称之间，存在着巨大的鸿沟。 — Douglas Blacklidge > [02:28](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=148s) 在患者最需要专业判断的早期介入黄金窗口，现行体系往往辜负了他们，而这种缺位所带来的代价是巨大的，不仅损失了时间与金钱，更直接恶化了预后效果。 — Douglas Blacklidge > [04:01](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=241s) 这款工具绝非市面上又一个简单的数字化工具，而是一次真正具有颠覆意义的临床革新。 — Douglas Blacklidge > [05:27](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=327s) 它不是机械地罗列冰冷数据，而是每次被使用时都会主动学习、迭代并持续精进，针对多达 400 多种骨科疾病输出高含金量的专家洞察。 — Douglas Blacklidge > [05:27](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=327s) 这绝非单纯追求‘便捷’，其核心价值在于‘准确性、公平性、可及性与时间’。 — Douglas Blacklidge > [05:27](https://www.youtube.com/watch?v=Qiauh8l3iHk&t=327s) 骨科医疗的未来，绝不仅属于身披白大褂的少数专科精英；它属于任何一个手握智能手机并心怀疑问的普通人。 — Douglas Blacklidge ## Mentioned Douglas Blacklidge, Alex, OrthoPoP Inc, Ai4, ChatGPT, Dr. Google, ICD-10 ## Video description Douglas Blacklidge, CEO, OrthoPoP Inc. Abstracts In the early phase of orthopedic care—the critical window where fast, smart decisions matter—we're failing the people who need us most. This failure costs time, money, and outcomes. Attendees will learn of a new diagnostic app that is not just digital--it's transformational. The AI-enabled app converts a painful "unknown" to one of 400 likely conditions. It learns, evolves and gets smarter each time it is used, delivering insight, not just information. The future of orthopedic care does not belong only to specialists in white coats; it belongs to anyone with a smartphone and a question. [Source](https://www.youtube.com/watch?v=Qiauh8l3iHk)

[0:04] Douglas Blacklidge: 每年全球有多少人通过网络搜索骨科疾病的信息？得到的答案是‘数十亿次’。 [0:04] Douglas Blacklidge: 一次被轻描淡写的‘扭伤’，演变成了极具破坏性、长期的复杂损伤。 [2:28] Douglas Blacklidge: 在你身体某个具体的疼痛点与能够被检索、了解的疾病名称之间，存在着巨大的鸿沟。 [2:28] Douglas Blacklidge: 在患者最需要专业判断的早期介入黄金窗口，现行体系往往辜负了他们，而这种缺位所带来的代价是巨大的，不仅损失了时间与金钱，更直接恶化了预后效果。 [4:01] Douglas Blacklidge: 这款工具绝非市面上又一个简单的数字化工具，而是一次真正具有颠覆意义的临床革新。 [5:27] Douglas Blacklidge: 它不是机械地罗列冰冷数据，而是每次被使用时都会主动学习、迭代并持续精进，针对多达 400 多种骨科疾病输出高含金量的专家洞察。 [5:27] Douglas Blacklidge: 这绝非单纯追求‘便捷’，其核心价值在于‘准确性、公平性、可及性与时间’。 [5:27] Douglas Blacklidge: 骨科医疗的未来，绝不仅属于身披白大褂的少数专科精英；它属于任何一个手握智能手机并心怀疑问的普通人。

[0:04] Douglas Blacklidge: a few billion unknown not just digital--it's transformational

[0:04] So I asked chat GPT how many inquiries [0:07] are made annually for information about [0:08] orthopedic conditions and the answer was [0:11] a few billion. So a lot of people are [0:14] trying to find information about their [0:15] own health problems. [0:18] I'm Doug Blackage from Orthop and we're [0:21] here to share a new app that delivers [0:23] orthopedic expertise to your fingertips. [0:26] As a foot and ankle surgeon, I'm going [0:28] to take you back to a case that changed [0:30] things for me. And uh I encountered a [0:34] young athlete named Alex. [0:40] Alex walked into my clinic limping, [0:42] frustrated, and confused. He was injured [0:45] a few weeks prior playing soccer in a [0:47] local league and uh ultimately went to a [0:50] overly busy urgent care center where he [0:52] waited for more than two hours before [0:54] being seen by a nurse practitioner. His [0:57] visit was rushed. His examination was [0:59] minimal. No x-rays nor advanced imaging [1:01] were done. And he was quickly diagnosed [1:04] with a ankle sprain. [1:07] He was told he should ice and elevate [1:09] for a few days, [1:10] maybe get an ankle brace, [1:13] and if he didn't get better, he was [1:14] instructed to follow up with his primary [1:16] care doctor a few weeks later, which he [1:19] did because he didn't get better. And [1:21] ultimately his family doctor ordered [1:22] X-rays and the X-rays demonstrated a [1:24] displaced distal fibular fracture. [1:26] That's a fracture of the outer ankle [1:28] bone that's out of place. [1:31] If they knew this at the urgent care [1:33] visit, his initial treatment would have [1:35] been much different. He would have been [1:37] instructed to be nonweightbearing. He [1:39] would have been put put in some kind of [1:40] a brace or a boot or a splint, and he [1:43] would have had a quick um specialty [1:45] referral for possible surgical [1:46] treatment. but instead he wasted weeks [1:48] with a fracture that was healing in a [1:50] wrong position. [1:53] So by the time I saw him nearly four [1:55] weeks had passed [1:57] and at this point the problem was a [2:00] bigger problem than just for his uh [2:03] soccer career as a young athlete. It [2:04] could potentially also impact his career [2:06] as a firefighter which he had uh hoped [2:10] to be. [2:12] So what was initially diagnosed as an [2:13] ankle sprain unfortunately became much [2:15] more complex and damaging long term. And [2:18] as I looked at him, I thought, why did [2:21] this have to take so long? And what can [2:23] we as a health care system do better? [2:28] The truth is our health care system is [2:32] incredibly inefficient, especially when [2:34] it comes to muscularkeeletal conditions. [2:37] Healthc care students, they struggle to [2:39] learn about both common and uncommon [2:42] orthopedic conditions in a practical [2:44] patient- centered way. [2:46] Initial care providers like physicians [2:49] and mid-level providers like physician [2:51] assistants and nurse practitioners, [2:54] physical and occupational therapists, [2:56] athletic trainers. This is the largest [2:59] segment of health care uh that that [3:01] that's growing and um they do the best [3:03] they can with limited tools and lack of [3:05] quick access to specialized orthopedic [3:07] knowledge [3:09] and patients they wait they wait to get [3:13] on the right path [3:15] to resolving their problem. They waste [3:17] time and money in a system that isn't [3:19] efficiently designed to help them. [3:23] They'll often use Dr. Google or perhaps [3:27] you know nowadays do an AI search with [3:29] chat GPT but what would they search [3:32] without the name of a condition or a [3:34] diagnosis [3:36] they guess [3:39] there's a gap between the name of [3:41] there's a gap between a painful point on [3:43] your body somewhere and the name of a [3:45] condition that you can search and learn [3:46] more about and that's the gap that we're [3:48] trying to fix [3:51] in the early phases of care when when [3:53] patients need us most um that's we're [3:55] failing them. And this failure costs [3:56] time, money, and outcomes. Especially [3:58] outcomes. [4:01] That's why we developed a new kind of [4:02] app. [4:04] An app that's not just digital, it's [4:05] transformational. [4:07] Orthopot bridges the gap between a [4:09] painful point [4:12] and a known condition with a name. [4:15] For students, it teaches real world [4:17] orthopedic pathology [4:19] in a fun, interactive, and clinically [4:21] relevant way. [4:23] It begins with a point of pain and an [4:26] accurate 3D anatomical model on a [4:28] smartphone or tablet and ultimately [4:30] reveals specialist insight into and the [4:34] op and the option to learn more with AI [4:38] for providers. It additionally helps [4:40] confirm diagnosis, [4:43] order labs and imaging that are [4:44] appropriate for that problem, assign [4:46] ICD10 codes, order supplies like braces, [4:51] and ultimately let the patient know [4:53] which in network specialist could help [4:58] for providers or excuse me for patients. [5:01] It combines a point of pain and the [5:03] responses to targeted questions to [5:06] develop a working list of likely [5:07] conditions. [5:09] It offers initial treatment guidance, [5:12] lets them know when and where to seek [5:14] care, and most importantly, it empowers [5:16] them. [5:18] These screenshots [5:20] show our app in action, and we'd be [5:22] happy to share an in-person demo with uh [5:24] anyone who's interested. [5:27] Under the hood, Orthop [5:30] the foundation of it was built by [5:32] specialists, [5:33] and the app is powered by AI. It learns, [5:35] it evolves, it improves each time it's [5:37] used. [5:40] And it doesn't just spit out [5:41] information. It delivers specialist [5:43] insight to more than 400 conditions. [5:48] And we're building it with the future in [5:49] mind. Each version of Orthop includes [5:52] seamless interface to AI to access all [5:55] available information [5:57] about a known condition. [6:00] And as that information improves and [6:02] evolves, so does Orthop. [6:06] The patient version finally gives [6:08] individuals the insight to initiate [6:11] their own care with just their fingertip [6:13] and a smartphone or tablet from [6:15] anywhere. [6:17] This isn't just about convenience. It's [6:19] about accuracy, equity, access, and [6:21] time. [6:24] Imagine [6:26] a world where a student learns from the [6:28] same tools used by providers in [6:30] prestigious healthcare institutions. [6:32] Or where a nurse practitioner in a small [6:34] town clinic doesn't have to just guess [6:36] and refer, but can act confidently. [6:40] Where a combat medic has access to [6:42] specialists developed orthopedic [6:45] knowledge base to make split-second [6:46] decisions. [6:49] where a single mom with no time and no [6:50] insurance can use an app to help [6:52] identify her child's condition [6:54] regardless of where she lives. [6:57] Orthoped in the hands of the nurse [6:59] practitioner caring for Alex could have [7:00] dramatically changed his course. [7:04] Orthoped in the hands of Alex himself [7:06] could have dramatically changed his [7:07] course. [7:08] Orthopedic expertise can't exist [7:11] everywhere. [7:13] That's the world we're building. [7:17] We started with Alex, but truthfully, [7:19] there are millions of people just like [7:20] him wandering in the gray zone between [7:23] symptoms and answers. [7:25] The app isn't a magic wand, but it is a [7:27] big step forward, a leap really toward [7:29] better education, [7:32] more accurate diagnosis, lower healthare [7:34] costs, greater system efficiencies, and [7:37] smarter referrals. [7:40] And the most exciting part is that we're [7:41] just getting started. [7:44] The future of orthopedic care does not [7:46] belong [7:48] only to specialists in white coats. It [7:50] belongs to anybody with a smartphone in [7:52] a question. [7:54] Thank you.