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市場調查報告書

突破性技術建構優秀的醫院基礎設施

Breakthrough Technologies Building Superior Hospital Infrastructure

出版商 Frost & Sullivan 商品編碼 820550
出版日期 內容資訊 英文 39 Pages
商品交期: 最快1-2個工作天內
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突破性技術建構優秀的醫院基礎設施 Breakthrough Technologies Building Superior Hospital Infrastructure
出版日期: 2019年03月29日內容資訊: 英文 39 Pages
簡介

本報告針對未來醫院的基礎設施設計、及更新上的技術角色進行調查,分析產業概要、優質照護之供需、技術趨勢、創新趨勢、以及主要專利等。

第1章 摘要整理

第2章 主要調查結果

第3章 醫院基礎設施:產業概要、趨勢之評價

  • 市場整合的速度在全球都非常快速
  • 對於可相互運用的患者醫療記錄之需要高漲
  • 技術上重視在短期間收容更多患者
  • 醫院的再入院專案會向照護設施收取罰金

第4章 醫院基礎設施:對於優質照護供需的評價

  • 為了改善成本管理法的經營效率,而實施進化的組織
  • 在提供照護的各種階段,導入人工智慧的情況變多了
  • 近年的改善重視降低請款的複雜以及減少再度入院的情形
  • 歷來的醫療費償還模式在請款處理以及款項入帳上需要數個月的流程

第5章 技術檔案

  • 為了診斷糖尿病網膜症的AI型解決方案
  • 為了檢測醫院內不適當的活動而進行遵守法規分析
  • 擴大提供照護的遠距患者監控
  • 為了減少謄寫的錯誤,治療資料的自動文書生成

第6章 全球的醫院基礎設施產業中,創新技術的普及

  • 醫院因為更好的人力資本&擴展資源而重視提高效率
  • 穿戴式裝置讓醫師可以即時並且以共同的型式去追蹤患者的健康
  • 戰略上有效的實施方面困難度極高

第7章 主要專利列表

  • 重視改善醫院基礎設施的技術有較高的專利性
  • 決定手續以及決策自動化的深度學習系統使用、其他

第8章 主要企業

目錄
Product Code: D8A0

Evaluating the Role of Technologies in Designing and Upgrading Future Hospital Infrastructure

The global healthcare industry is undergoing a transformation from being provider-centric to being more patient-centric by focusing more on the outcomes and value of care delivered. This Research Service (RS) extensively evaluates a business case for technologies that enable better hospital design and strategic business models for healthcare enterprises that are focused on transforming the quality of care delivered to patients. The RS evaluates the demand chain in the process of delivering healthcare, best practice business models, and gaps in improving the quality/delivery and cost of care delivered by organizations. It identifies the technologies that enable better hospital designs that address gaps in existing technology-based business models and evaluate technology-enabled design strategies for hospitals of the future that actively transform care delivery.

Table of Contents

1.0 EXECUTIVE SUMMARY

  • 1.1. Objectives of Research
  • 1.2. Outcomes of Research
  • 1.3. Research Methodology

2.0 KEY FINDINGS

  • 2.1. Challenges to offer more autonomy to patients
  • 2.2. Lean innovation and diversifying business models are capital intensive
  • 2.3. Technologies deliver higher level of patient centricity

3.0 HOSPITAL INFRASTRUCTURE-INDUSTRY OVERVIEW AND TRENDS ASSESSMENT

  • 3.1. Pace of market consolidation is very high worldwide
  • 3.2. Rising demand for interoperable medical records of patients
  • 3.3. Technologies focus on accommodating more patients within short intervals of time
  • 3.4. Hospital readmission and rehospitalization programs impose penalties on care facilities

4.0 HOSPITAL INFRASTRUCTURE-ASSESSMENT OF THE SUPPLY AND DEMAND FOR QUALITY CARE

  • 4.1. More efforts to improve operational efficiency via cost control measures
  • 4.2. Higher adoption of artificial intelligence across various stages of care delivery
  • 4.3. Recent improvements focus on reducing claim complexities and rehospitalizations
  • 4.4. Traditional reimbursement models take months to process claims and revenue realization

5.0 TECHNOLOGY PROFILES

  • 5.1. AI-based Solution for Diagnosing Diabetic Retinopathy
  • 5.2. Compliance Analytics to Detect Inappropriate Activity within Hospitals
  • 5.3. Remote Patient Monitoring for Enhanced Care Delivery
  • 5.4. Automated Documentation of Treatment Data to Reduce Transcription Errors

6.0 DIFFUSION OF INNOVATIONS IN THE GLOBAL HOSPITAL INFRASTRUCTURE INDUSTRY

  • 6.1. Hospitals focus on increasing efficiency with deployment of better human capital and resources
  • 6.2. Wearables enables clinicians to track health and wellness in real-time and in a more collaborative manner
  • 6.3. High degree of bottlenecks exist to effective implementation of strategy

7.0 LIST OF KEY PATENTS

  • 7.1. Patentability is high for technologies focused on improving hospital infrastructure
  • 7.2. Use of deep learning systems to automate procedure-determination and decision making
  • 7.3. Deep learning neural records to classify data with expert input serving to be fast-learning model
  • 7.4. Virtual reality enhances the training process with better handling of bio-signal data

8.0 KEY INDUSTRY PARTICIPANTS

  • 8.1 List of Key Industry Participants
  • Legal Disclaimer
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