医院智慧医疗分流：创新与成长机会

人工智慧推动成长和新产品开发

医院医疗分诊有病患等待时间长、医护人员工作量增加、分诊存在人为失误风险、病患转诊效果不理想等问题，有较大挑战。这些因素影响患者分诊的品质和效率，迫切需要创新的分诊解决方案。

智慧医疗分诊可望透过自动确定病患优先顺序、提高准确性并支持医护人员的临床决策来提高效率。基于人工智慧的临床决策支援系统等技术有望彻底改变医院的医疗分诊方式。

我们对医院智慧医疗分流的分析概述了医疗分流、当前挑战、创新分流解决方案及其优势。涵盖急诊室 (ED) 和加护病房(ICU) 的医疗分诊流程，重点介绍技术创新和成长机会。

本研究重点介绍了 ED 和 ICU 分诊方面的关键创新，检验了智慧医疗分流解决方案的功能、案例研究、成长机会和关键专利。普通病房、诊断影像室以及与医院管理相关的分诊不符合资格。

目录

策略要务

• 为什么成长如此困难？
• The Strategic Imperative 8（TM）
• 关键策略要务对医院智慧医疗分流产业的影响
• 成长机会推动Growth Pipeline Engine（TM）
• 调查方法
• 分析范围
• 医疗分诊 - 概述
• 医疗分流系统 - 紧急严重程度指数 (ESI)
• 传统分诊流程的主要挑战
• 需要创新方法—智慧分流解决方案
• 为医院实施智慧分流系统的好处
• 医院智慧分流系统用例
• 按医院科室细分
• 根据治疗区域按应用细分

成长发电机

• 生长促进因子
• 成长抑制因素

細項分析：急诊室 (ED)

• 急诊分诊的主要挑战
• 解决急诊分诊挑战的创新技术
• 急诊分诊的关键创新—商业化
• 急诊分诊的关键创新 - 正在研究中
• SWOT 分析 - 急诊分诊的创新

細項分析：加护病房(ICU)

• ICU分诊的关键问题
• 解决 ICU 分诊挑战的创新技术
• ICU 分诊的关键创新—商业化
• ICU 分诊的关键创新 - 正在研究中
• SWOT 分析 - ICU 分诊的创新

市场分析

• 智慧分诊方案比较分析－急诊室与重症加护病房
• 智慧分诊解决方案的未来功能 - ED 与 ICU
• 案例研究1 - 能够预测 ED 患者分诊的 PT-4 AI 模型
• 案例研究2 - 基于机器学习的病患分诊平台，可预测未来的病毒爆发
• 产业评估-资金筹措分析
• 产业评估-区域技术分析
• 产业评估-经营模式分析
• 产业评估-使用者体验与招募挑战
• 未来展望 - 医疗分流领域的人工智慧革命，2024-2029

专利分析

• 医院智慧医疗分流 - 专利状况
• 医院智慧医疗分流 - 前 5 名专利持有者
• 医院智慧医疗分流-关键专利

医院智慧医疗分流的成长机会

• 成长机会1：基于NLP的急诊分诊语音辅助系统
• 成长机会 2：整合 XAI 和 IoMT 进行分类优化
• 成长机会 3：用于病患分诊的 ChatGPT-4 LLM
• 成长机会4：简单、低负担的护理师分流系统

附录

• 技术完备等级(TRL)：说明
• 细分 - 主要范例

下一步

Artificial Intelligence to Drive Growth and New Product Development

Medical triaging in hospitals has significant challenges, including long patient wait times, increased healthcare staff workload, risk of human error in triaging, and unsatisfactory patient outcomes, primarily due to manual triaging processes. These factors impact the quality and efficiency of patient triaging, creating an urgent need for innovative triaging solutions.

Intelligent medical triaging is poised to improve efficiency by automating patient prioritization, enhancing accuracy, and supporting clinical decision making for healthcare staff. Technologies such as AI-based clinical decision support systems are set to revolutionize how medical triaging is performed in hospitals.

The analysis of intelligent medical triaging in hospitals provides an overview of medical triaging, current challenges, innovative triaging solutions, and their benefits. It covers medical triaging processes in emergency departments (ED) and intensive care units (ICU), highlighting technology innovations and growth opportunities.

Featuring key innovations in ED and ICU triaging, it examines the capabilities of intelligent medical triaging solutions, case studies, growth opportunities, and key patents. The study does not cover general wards, imaging rooms, and hospital operations-related triaging.

Key questions answered in the analysis:

•      What are the key challenges of the traditional triage process?
•      Why is there a need for innovative triaging solutions?
•      What are the growth drivers and restraints of the intelligent medical triaging market?
•      What are the innovative technologies for intelligent medical triaging in ED and ICU?
•      What is the SWOT analysis of key innovations?
•      What are the current and future capabilities of intelligent medical triaging solutions?
•      How does the industry assessment for intelligent medical triaging look like?
•      What are the key growth opportunities in the intelligent medical triaging space?

Table of Contents

Strategic Imperatives

• Why Is It Increasingly Difficult to Grow?
• The Strategic Imperative 8™
• The Impact of the Top 3 Strategic Imperatives on the Intelligent Medical Triaging in Hospitals Industry
• Growth Opportunities Fuel the Growth Pipeline Engine™
• Research Methodology
• Scope of Analysis
• Medical Triage-An Overview
• Medical Triage System-Emergency Severity Index (ESI)
• Key Challenges in the Traditional Triage Process
• Need for Innovative Approach-Intelligent Triage Solutions
• Benefits of Implementing Intelligent Triage Systems in Hospitals
• Use Cases of Intelligent Triage Systems in Hospitals
• Segmentation by Hospital Department
• Segmentation by Application According to Therapy Area*

Growth Generator

• Growth Drivers
• Growth Restraints

Segment Analysis-Emergency Department (ED)

• Key Challenges for ED Triaging
• Innovative Technologies Solving ED Triaging Challenges
• Key Innovations for ED Triage-Commercialized
• Key Innovations for ED Triage-Under Research
• SWOT Analysis-Innovations for ED Triaging

Segment Analysis-Intensive Care Unit (ICU)

• Key Challenges for ICU Triaging
• Innovative Technologies* Solving ICU Triaging Challenges
• Key Innovations for ICU Triage-Commercialized
• Key Innovations for ICU Triage-Under Research
• SWOT Analysis-Innovations for ICU Triaging

Market Analysis

• Comparative Analysis of Intelligent Triaging Solutions-ED vs ICU
• Expected Future Capabilities of Intelligent Triaging Solutions-ED vs ICU
• Case Study 1-PT-4 AI Model with Predictive Capabilities for ED Patients Triaging
• Case Study 2-ML-based Patient Triage Platform to Predict Future Viral Outbreaks
• Industry Assessment-Funding Analysis
• Industry Assessment-Regional Technology Analysis
• Industry Assessment-Business Model Analysis
• Industry Assessment-User Experience and Adoption Challenges
• Future Outlook-AI Revolution in Medical Triage, 2024-2029

Patent Analysis

• Intelligent Medical Triaging in Hospitals-Patent Landscape
• Intelligent Medical Triaging in Hospitals-Top 5 Patent Assignees
• Intelligent Medical Triaging in Hospitals-Key Patents

Growth Opportunity Universe in Intelligent Medical Triaging in Hospitals

• Growth Opportunity 1: Natural Language Processing-based Voice Assistance System for Triage in the ED
• Growth Opportunity 2: Integration of XAI and IoMT for Triage Optimization
• Growth Opportunity 3: ChatGPT-4 LLM for Patient Triaging
• Growth Opportunity 4: Simple and Less Distractive Triage Systems for Nurses

Appendix

• Technology Readiness Levels (TRL): Explanation
• Segmentation-Key Examples

Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• Take the Next Step
• Legal Disclaimer