醫院智慧醫療分流：創新與成長機會

人工智慧推動成長和新產品開發

醫院醫療分診有病患等待時間長、醫護人員工作量增加、分診存在人為失誤風險、病患轉診效果不理想等問題，有較大挑戰。這些因素影響患者分診的品質和效率，迫切需要創新的分診解決方案。

智慧醫療分診可望透過自動確定病患優先順序、提高準確性並支持醫護人員的臨床決策來提高效率。基於人工智慧的臨床決策支援系統等技術有望徹底改變醫院的醫療分診方式。

我們對醫院智慧醫療分流的分析概述了醫療分流、當前挑戰、創新分流解決方案及其優勢。涵蓋急診室 (ED) 和加護病房(ICU) 的醫療分診流程，重點介紹技術創新和成長機會。

本研究重點介紹了 ED 和 ICU 分診方面的關鍵創新，檢驗了智慧醫療分流解決方案的功能、案例研究、成長機會和關鍵專利。普通病房、診斷影像室以及與醫院管理相關的分診不符合資格。

目錄

策略要務

• 為什麼成長如此困難？
• The Strategic Imperative 8（TM）
• 關鍵策略要務對醫院智慧醫療分流產業的影響
• 成長機會推動Growth Pipeline Engine（TM）
• 調查方法
• 分析範圍
• 醫療分診 - 概述
• 醫療分流系統 - 緊急嚴重程度指數 (ESI)
• 傳統分診流程的主要挑戰
• 需要創新方法—智慧分流解決方案
• 為醫院實施智慧分流系統的好處
• 醫院智慧分流系統用例
• 按醫院科室細分
• 根據治療區域按應用細分

成長發電機

• 生長促進因子
• 成長抑制因素

細分分析：急診室 (ED)

• 急診分診的主要挑戰
• 解決急診分診挑戰的創新技術
• 急診分診的關鍵創新—商業化
• 急診分診的關鍵創新 - 正在研究中
• SWOT 分析 - 急診分診的創新

細分分析：加護病房(ICU)

• ICU分診的關鍵問題
• 解決 ICU 分診挑戰的創新技術
• ICU 分診的關鍵創新—商業化
• ICU 分診的關鍵創新 - 正在研究中
• SWOT 分析 - ICU 分診的創新

市場分析

• 智慧分診方案比較分析－急診室與重症加護病房
• 智慧分診解決方案的未來功能 - ED 與 ICU
• 案例研究1 - 能夠預測 ED 患者分診的 PT-4 AI 模型
• 案例研究2 - 基於機器學習的病患分診平台，可預測未來的病毒爆發
• 產業評估-資金籌措分析
• 產業評估-區域技術分析
• 產業評估-經營模式分析
• 產業評估-使用者體驗與招募挑戰
• 未來展望 - 醫療分流領域的人工智慧革命，2024-2029

專利分析

• 醫院智慧醫療分流 - 專利狀況
• 醫院智慧醫療分流 - 前 5 名專利持有者
• 醫院智慧醫療分流-關鍵專利

醫院智慧醫療分流的成長機會

• 成長機會1：基於NLP的急診分診語音輔助系統
• 成長機會 2：整合 XAI 和 IoMT 進行分類最佳化
• 成長機會 3：用於病患分診的 ChatGPT-4 LLM
• 成長機會4：簡單、低負擔的護理師分流系統

附錄

• 技術完備等級(TRL)：說明
• 細分 - 主要範例

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