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市场调查报告书

突破性技术建构优秀的医院基础设施

Breakthrough Technologies Building Superior Hospital Infrastructure

出版商 Frost & Sullivan 商品编码 820550
出版日期 内容资讯 英文 39 Pages
商品交期: 最快1-2个工作天内
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突破性技术建构优秀的医院基础设施 Breakthrough Technologies Building Superior Hospital Infrastructure
出版日期: 2019年03月29日内容资讯: 英文 39 Pages
简介

本报告针对未来医院的基础设施设计、及更新上的技术角色进行调查,分析产业概要、优质照护之供需、技术趋势、创新趋势、以及主要专利等。

第1章 摘要整理

第2章 主要调查结果

第3章 医院基础设施:产业概要、趋势之评价

  • 市场整合的速度在全球都非常快速
  • 对于可相互运用的患者医疗记录之需要高涨
  • 技术上重视在短期间收容更多患者
  • 医院的再入院专案会向照护设施收取罚金

第4章 医院基础设施:对于优质照护供需的评价

  • 为了改善成本管理法的经营效率,而实施进化的组织
  • 在提供照护的各种阶段,导入人工智慧的情况变多了
  • 近年的改善重视降低请款的复杂以及减少再度入院的情形
  • 历来的医疗费偿还模式在请款处理以及款项入帐上需要数个月的流程

第5章 技术档案

  • 为了诊断糖尿病网膜症的AI型解决方案
  • 为了检测医院内不适当的活动而进行遵守法规分析
  • 扩大提供照护的远距患者监控
  • 为了减少誊写的错误,治疗资料的自动文书生成

第6章 全球的医院基础设施产业中,创新技术的普及

  • 医院因为更好的人力资本&扩展资源而重视提高效率
  • 穿戴式装置让医师可以即时并且以共同的型式去追踪患者的健康
  • 战略上有效的实施方面困难度极高

第7章 主要专利列表

  • 重视改善医院基础设施的技术有较高的专利性
  • 决定手续以及决策自动化的深度学习系统使用、其他

第8章 主要企业

目录
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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