 | • レポートコード：C-MOR-100126 • 出版社/出版日：Mordor Intelligence / 2019年9月 • レポート形態：英文、PDF、115ページ • 納品方法：Eメール（受注後2-3営業日） • 産業分類：IT |
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レポート概要
| 本調査レポートでは、臨床意思決定支援システムの世界市場について調査・分析し、臨床意思決定支援システムの世界市場規模、市場動向、市場環境分析、市場展望、セグメント別分析、地域別分析、関連企業情報など以下の構成でお届け致します。 |
Market Overview
The growing need for reducing human errors, the rising demand to reduce healthcare expenditure, need for improvement in the quality of care, rising chronic disease population, and more adoption rate in emerging economies are the major factors that are likely to boost the growth of the clinical decision support systems market. However, lack of trust in the system as CDSS is in its initial stages of development, lack of skilled labor and suggestions from CDSS for unnecessary diagnostic testing hinders the market growth.
Scope of the Report
Clinical Decision Support Systems (CDSS) refer to a healthcare IT system designed specifically to assist clinical decision support for healthcare professionals and physicians. CDS comprises of various tools, which helps to enhance decision-making in the clinical workflow. These tools include computerized alerts and reminders to care providers and patients, clinical guidelines, focused patient data reports and summaries, diagnostic support, and documentation templates, among other tools.
Key Market Trends
Cloud-Based Segment Holds Significant Market Share
The growing adoption of cloud computing is the major driver for the expansion of cloud-based CDSS segment. According to a 2016 survey by RightScale, nearly 95% of organizations are running cloud-based applications. The hardware of electronic medical record (EMR) systems of different vendors are different, hence, developing a standard CDSS software, which can run on multiple EMRs is a major challenge. Moreover, cloud-based applications are not dependent on web browsers, which makes them scalable and inherently safer than web-based applications. In a cloud-based clinical decision support system, the processing units are hosted on remote servers, which can be located in multiple data centers across the world, making them less vulnerable to cyber attacks. In addition, increasing availability of cloud technology, coupled with its flexibility and scalability is expected to drive the usage of cloud-based CDS system, over the forecast period.
North America Dominates the Global Clinical Decision Support Systems Market
The factors, such as rise in the technological advancement in the market of CDSS, high awareness among patients, and rising investments in HCIT solutions in the region are expected to boost the growth of the market over the forecast period. The Agency for Healthcare Research and Quality (AHRQ) launched a new initiative to disseminate and implement patient-centered outcomes research (PCOR) findings through clinical decision support (CDS) in 2016. The two major goals of these initiatives were to accelerate the movement of evidence into practice through CDS and to make CDS more shareable, standards-based, and publicly available. These research efforts help to engage relevant stakeholders, such as patients, clinicians, provider organizations, guideline and quality measurement developers, and information technology professionals, in order to improve the health care decision making with the help of CDS systems. This type of initiatives is expected to propel the growth of the market over the forecast period in North America.
Competitive Landscape
Market players are continuously focusing on acquisitions and mergers, provisions of solutions which are customized and expansion of companies in untapped commercial markets. Moreover, companies are also investing huge amounts on developing new products and platforms with enhanced and improved features as a part of a commercialization strategy. For instance, in 2018, the US Food and Drug Administration (FDA) announced marketing clearance for Viz.AI’s Contact application, the first artificial intelligence-based clinical decision support (CDS) solution cleared for sale in the United States. Viz.AI Contact is designed to analyze computed tomography (CT) results.
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The market estimate (ME) sheet in Excel format
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1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Need for Reducing Human Errors
4.2.2 Rising Demand to Reduce Healthcare Expenditure
4.2.3 Need for Improvement in Quality of Care
4.3 Market Restraints
4.3.1 Lack of Trust in the System due to CDSS being in its Initial Stages of Developement
4.3.2 Lack of Skilled Professionals
4.4 Porter’s Five Force Analysis
4.4.1 Threat of New Entrants
4.4.2 Bargaining Power of Buyers/Consumers
4.4.3 Bargaining Power of Suppliers
4.4.4 Threat of Substitute Products
4.4.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By Model
5.1.1 Knowledge-based CDSS
5.1.2 Non-Knowledge CDSS
5.2 By Mode of Delivery
5.2.1 Cloud-based
5.2.2 On-premise
5.3 By Component
5.3.1 Hardware
5.3.2 Software
5.3.3 Services
5.4 By Product
5.4.1 Integrated System
5.4.2 Stand-alone System
5.4.3 Standard-based
5.4.4 Service Model-based
5.4.5 Other Products
5.5 By Application
5.5.1 Medical Diagnosis
5.5.2 Alerts and Reminders
5.5.3 Prescription Decision Support
5.5.4 Information Retrieval
5.5.5 Image Recognition and Interpretation
5.5.6 Therapy Critiquing and Planning
5.5.7 Other Applications
5.6 Geography
5.6.1 North America
5.6.1.1 US
5.6.1.2 Canada
5.6.1.3 Mexico
5.6.2 Europe
5.6.2.1 Germany
5.6.2.2 UK
5.6.2.3 France
5.6.2.4 Italy
5.6.2.5 Spain
5.6.2.6 Rest of Europe
5.6.3 Asia Pacific
5.6.3.1 China
5.6.3.2 Japan
5.6.3.3 India
5.6.3.4 Australia
5.6.3.5 South Korea
5.6.3.6 Rest of Asia-Pacific
5.6.4 Middle East and Africa
5.6.4.1 GCC
5.6.4.2 South Africa
5.6.4.3 Rest of Middle East and Africa
5.6.5 South America
5.6.5.1 Brazil
5.6.5.2 Argentina
5.6.5.3 Rest of South America
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Cerner Corporation
6.1.2 EPIC
6.1.3 IBM
6.1.4 Mckesson Corporation
6.1.5 Meditech
6.1.6 Koninklijke Philips N.V.
6.1.7 Siemens Healthcare
7 MARKET OPPORTUNITIES AND FUTURE TRENDS