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臨床意思決定支援システム(CDSS)市場レポート:コンポーネント、製品、タイプ、提供モード、モデル、用途、地域別、2024-2032Clinical Decision Support Systems Market Report by Component, Product, Type, Delivery Mode, Model, Application, and Region 2024-2032 |
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臨床意思決定支援システム(CDSS)市場レポート:コンポーネント、製品、タイプ、提供モード、モデル、用途、地域別、2024-2032 |
出版日: 2024年03月02日
発行: IMARC
ページ情報: 英文 138 Pages
納期: 2~3営業日
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世界の臨床意思決定支援システム(CDSS)市場規模は、2023年に16億米ドルに達しました。今後、IMARC Groupは、2024年から2032年にかけてCAGR 6.72%を示し、2032年までに30億米ドルに達すると予測しています。サービス指向のインテリジェントなヘルスケア意思決定ソフトウェアに対する需要の増加と医療過誤の増加が、市場を牽引する主な要因となっています。
臨床意思決定支援システム(CDSS)は、電子カルテ(EHR)記録システム内のデータを分析するために設計された専門情報コンピュータベースのアプリケーションを指します。臨床医、医師、スタッフにリマインダーを提供し、効果的な患者ケアのためにより良い臨床治療を提案します。CDSSは、クラウドストレージなどの様々なハードウェアやソフトウェアベースのソリューションを採用しており、アクセス可能な膨大な量の臨床データや管理データを管理・保存するのに役立っています。CDSSは、対象となる臨床・健康関連情報を用いて複雑な医療上の意思決定を行い、ワークフローを合理化し、投薬ミスのリスクを抑制し、誤診を減らし、多様な管理業務の遂行を支援することで、ヘルスケアの提供を強化します。これとは別に、医療行為を管理し、信頼できる情報と観察を提供し、全体的な業務効率を最適化します。その結果、CDSSは病院や診療所で使用され、薬物アレルギーの警告を提供し、患者に優れたケアを提供することで、より良い臨床転帰を確実にします。
いくつかの慢性疾患を治療するためのCDSSソリューションを含め、特殊なアルゴリズム、対話型インターフェース、サービス指向アーキテクチャを備えた様々な先進システムに対するニーズの高まりが、主に市場の成長に向けた原動力となっています。これに伴い、人為的な介入による投薬ミスの事例が急増していることから、より良い臨床判断を下すためにヘルスケア分野でCDSSの採用が広がっており、これも成長を促す要因となっています。さらに、病院での医療情報通信技術(HICT)の導入を促進するために各国政府が行っている積極的な取り組みも、市場の成長を後押ししています。このような製品は、医療従事者に信頼できるデータを提供することで、低費用で患者に質の高いケアを提供するのに役立ちます。さらに、人工知能(AI)、機械学習(ML)、CPOE(Computerized Provider Order Entry)、統計的パターン認識ソリューションを大規模に統合し、情報抽出のためのデータ測定を分析することが、市場成長を後押ししています。これらの技術は、デスクトップ、タブレット、生体認証モニタリングシステム、ウェアラブルデバイスなど、複数の消費者向け電子機器を通じてさらに管理することが可能であり、これが市場成長を後押ししています。これとは別に、ヘルスケアインフラの大幅な強化、CDSSの利用可能性と有益な特性に関する消費者の意識の高まり、先進的なCDSSソリューションを設計するための主要企業間の継続的な合併・買収(M&A)が、市場に明るい見通しを生み出しています。
The global clinical decision support systems (CDSS) market size reached US$ 1.6 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 3.0 Billion by 2032, exhibiting a CAGR of 6.72% during 2024-2032. The increasing demand for service-oriented intelligent healthcare decision-making software and the rising instances of medical errors represent some of the key factors driving the market.
The clinical decision support system (CDSS) refers to a specialized information computer-based application designed to analyze data within electronic health record (EHR) record systems. It provides reminders to clinicians, physicians, and staff to suggest better clinical treatments for effective patient care. It employs various hardware and software-based solutions, such as cloud storage, which helps manage and store an excessive amount of accessible clinical and administrative data. CDSS assists in enhancing healthcare delivery by making complex medical decisions with targeted clinical and health-related information, streamlines the workflow, inhibits the risk of medication errors, reduces misdiagnoses, and helps in executing diverse administrative operations. Apart from this, it manages medical practices, provides reliable information and observations, and optimizes overall operational efficiency. As a result, CDSS is used by hospitals and clinics to provide drug allergy alerts and ensure better clinical outcomes by providing exceptional care to patients.
The increasing need for various advanced systems with specialized algorithms, interactive interfaces, and service-oriented architectures, including CDSS solutions to treat several chronic disorders, is primarily driving the market toward growth. In line with this, the escalating instances of medication errors due to human intervention have intensified the widespread adoption of CDSS in the healthcare sector to make better clinical decisions, which is acting as another growth-inducing factor. Additionally, favorable initiatives undertaken by governments of various countries to promote the uptake of health information and communication technology (HICT) in hospital settings are favoring the market growth. Such products help provide high-quality care to patients at lower expenditure by furnishing health workers with reliable data. Moreover, the large-scale integration of artificial intelligence (AI), machine learning (ML), computerized provider order entry (CPOE), and statistical pattern recognition solutions to analyze data measurements for extracting information is propelling the market growth. These technologies can be further administered through multiple consumer electronic devices, such as desktops, tablets, biometric monitoring systems, and wearable devices, which is impelling the market growth. Apart from this, significant enhancements in the healthcare infrastructure, growing consumer awareness regarding its availability and beneficial properties, and ongoing mergers and acquisitions (M&A) amongst key players to engineer advanced CDSS solutions are creating a positive outlook for the market.
IMARC Group provides an analysis of the key trends in each segment of the clinical decision support systems (CDSS) market, along with forecasts at the global, regional, and country level from 2024-2032. Our report has categorized the market based on component, product, type, delivery mode, model, and application.
Hardware
Software
Services
The report has provided a detailed breakup and analysis of the clinical decision support systems (CDSS) market based on the component. This includes hardware, software and services. According to the report, services represented the largest segment.
Integrated CDSS
Standalone CDSS
A detailed breakup and analysis of the clinical decision support systems (CDSS) market based on the product has also been provided in the report. This includes integrated and standalone CDSS. According to the report, integrated CDSS accounted for the largest market share.
Therapeutic
Diagnostic
The report has also provided a detailed breakup and analysis of the clinical decision support systems (CDSS) market based on the type. This includes therapeutic and diagnostic. According to the report, therapeutic represented the largest segment.
On Premise
Cloud Based
A detailed breakup and analysis of the clinical decision support systems (CDSS) market based on the delivery mode has also been provided in the report. This includes on premise and cloud based. According to the report, on-premise accounted for the largest market share.
Knowledge Based
Non-Knowledge Based
The report has also provided a detailed breakup and analysis of the clinical decision support systems (CDSS) market based on the model. This includes knowledge and non-knowledge based. According to the report, knowledge based represented the largest segment.
Drug Allergy Alerts
Clinical Guidelines
Drug-Drug Interactions
Clinical Reminders
Others
A detailed breakup and analysis of the clinical decision support systems (CDSS) market based on the application has also been provided in the report. This includes drug allergy alerts, clinical guidelines, drug-drug interactions, clinical reminders and others. According to the report, drug allergy alert accounted for the largest market share.
North America
United States
Canada
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
The report has also provided a comprehensive analysis of all the major regional markets that include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and Middle East and Africa. According to the report, North America was the largest market for clinical decision support systems. Some of the factors driving the North America clinical decision support system market included the increasing demand for service-oriented intelligent healthcare decision-making software and the rising instances of medical errors.
Competitive Landscape
The report has also provided a comprehensive analysis of the competitive landscape in the global clinical decision support system market. Detailed profiles of all major companies have also been provided. Some of the companies covered include Athenahealth Inc., Change Healthcare (United Health Group Incorporated), Epic Systems Corporation, General Electric Company, International Business Machines Corporation, Koninklijke Philips N.V., NextGen Healthcare Inc., Oracle Corporation, Siemens Healthineers AG (Siemens AG), Wolters Kluwer N.V., Zynx Health Incorporated (Hearst Business Media Corporation), etc. Kindly, note that this only represents a partial list of companies, and the complete list has been provided in the report.
Kindly, note that this only represents a partial list of companies, and the complete list has been provided in the report