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表紙：臨床意思決定支援システムの世界市場-2023年～2030年
市場調査レポート
商品コード
1352120

臨床意思決定支援システムの世界市場-2023年～2030年

Global Clinical Decision Support System Market - 2023-2030
出版日: | 発行: DataM Intelligence | ページ情報: 英文 195 Pages | 納期: 約2営業日

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臨床意思決定支援システムの世界市場-2023年～2030年
出版日: 2023年09月27日
発行: DataM Intelligence
ページ情報: 英文 195 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

概要

臨床意思決定支援システム市場の動向は、技術進歩の高まりとAIの利用により、製品の発売が増加していることを示しています。臨床意思決定支援システムは、意思決定支援システム（DSS）の一種で、企業における経営上の意思決定を支援するために広く使用されています。

さらに、モデル、デリバリーモード、コンポーネント、製品タイプ、パイプライン数の増加による臨床意思決定支援システム製品の採用増加、研究開発の増加が臨床意思決定支援システム市場規模を押し上げています。Inferscience, Inc、Cerner（Oracle）、Agfa Healthcare、Athenahealthのような重要な競合企業が市場で活発に活動しており、この分野での進歩が高まっている結果、北米地域の製品に対する需要が伸びています。

ダイナミクス

ビッグデータと健康ツールの注目と利用拡大が臨床意思決定支援システム市場の成長を牽引

医療業界では、意思決定を支援し、患者の転帰を向上させ、コストを削減するために、さまざまなソースからビッグデータが作成・分析されています。電子カルテ（EHR）、個人カルテ（PHR）、電子カルテ（EMR）、ウェアラブル医療技術やモバイルヘルスアプリのような広く使用されているデジタルヘルスツールによって生成されたデータは、医療業界で最も頻繁に使用されているビッグデータのソースの一部です。ビッグデータは近年、医療業界でますます広く使われるようになっています。

ビッグデータの活用は、単に健康上の成果を高めるだけではありません。ビッグデータ・アプリケーションは、経営や人事の強化、コストや非効率の削減、戦略的計画とともに製品開発といった面でも有望視されています。前述のような主張の結果として、予測期間を通じて市場は主導権を握ると予測されています。

主要企業による研究開発の進展が市場成長の機会を生み出す

様々な意思決定や患者ケア業務がCDSSの使用から恩恵を受けることが示されており、CDSSは質の高いケアの提供を継続的かつ広範囲に強化します。特にCPOEに基づくものでは、CDSSの特定の利用法には、それを裏付ける追加的なエビデンスがあります。電子カルテの時代において、CDSSへの支持は高まっていますが、相互運用性、展開のスピードと容易さ、コストの面ではまだ改善の余地があります。

Inferscience社は、drChronoが最先端の臨床意思決定支援システムInferaと完全に統合されたと発表しました。DrChronoのエンドユーザーは、Inferaからリアルタイムで患者に特化したエビデンスに基づくケアの推奨を受けることができます。Inferaは、カルテ内の構造化された情報だけでなく非構造化情報も読み取るため、患者の状態を完全に評価し、提供されるケア提案をインテリジェントに裏付けることができます。このような調査と進歩は、臨床意思決定支援システムの成長につながると思われます。

臨床意思決定支援システムに関連する課題が市場の成長を阻害する

臨床意思決定支援システムにはいくつかの課題があります。臨床意思決定支援システムは、その適用や設計が悪ければ、対処する以上の問題を引き起こす可能性があります。直感的でない臨床意思決定支援ソフトウェアは、医師の燃え尽き、アラーム疲れ、処方ミスを助長することで、患者の転帰や企業の財務状況に悪影響を及ぼします。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • ビッグデータと健康ツールの注目と利用拡大
      • 投薬ミスの増加
    • 抑制要因
      • 臨床意思決定支援システムに関する課題
    • 機会
      • 主要企業による研究開発の進展
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析

第6章 COVID-19分析

第7章 製品別

  • スタンドアロンCDSS
  • 電子カルテ一体型CDSS

第8章 タイプ別

  • 治療用CDSS
  • 診断用CDSS

第9章 コンポーネント別

  • ソフトウェア
  • ハードウェア
  • サービス

第10章 提供モード別

  • オンプレミス
  • ウェブベース
  • クラウドベース

第11章 モデル別

  • 知識ベースCDSS
  • 非知識ベースCDSS

第12章 助言形態別

  • 受動的CDSS
  • 能動的CDSS

第13章 エンドユーザー別

  • 病院・クリニック
  • 診断センター
  • 外来手術センター

第14章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • スペイン
    • イタリア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
      • その他アジア太平洋
  • 中東・アフリカ
    • 地域別の主な動向

第13章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第14章 企業プロファイル

  • Inferscience, Inc
    • 会社概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な動向
  • Cerner（Oracle）
  • Agfa Healthcare
  • NXGN Management, LLC
  • Carestream Health
  • Athenahealth
  • Medical Information Technology, Inc.
  • Epic Systems Corporation
  • Wolters Kluwer N.V.
  • Elsevier

第15章 付録

目次
Product Code: HCIT1700

Overview

The clinical decision support system market trends show rising product launches owing to the rising technological advancements and usage of AI. It is a distinct kind of decision support system (DSS), which is widely used to support managerial decisions in the corporate world.

Furthermore, rising adoption of products for clinical decision support system due to the rising availability of model, delivery mode, component and type and increase in the number of pipelines in the market, and an increase in the research and development is driving up the clinical decision support system market size. The market is experiencing a growth demand for products from North American areas as a result of the rising advancements in this field with significant competitors like Inferscience, Inc, Cerner (Oracle), Agfa Healthcare, and Athenahealth actively operating in the market.

Dynamics

Rising Prominence & Usage of Big Data and Health Tools Drive the Growth of the Clinical Decision Support System Market

Big data is created and analyzed in the healthcare industry from a variety of sources to help with decision-making, enhance patient outcomes, and lower costs. Electronic health records (HER), personal health records (PHRs), electronic medical records (EMR), and data generated by widely used digital health tools like wearable medical technology and mobile health apps are some of the most frequent sources of big data in the healthcare industry. Big data has become increasingly widely used in the healthcare industry in recent years.

Big data applications can do much more than just enhance health outcomes. Big data applications have also demonstrated promise in terms of enhancing management and personnel, cutting costs and ineffectiveness, product development along with strategic planning. The market is predicted to take the lead throughout the forecast period as a consequence of the aforementioned claims.

Rising Advancements or Research and Development by Key Players Creates Opportunities for the Growth of the Market

A range of decisions as well as patient care tasks have been shown to benefit from the use of CDSS, and they continually and widely enhance the provision of high-quality care. Particularly those based on CPOE, certain uses of CDSS have additional evidence to support them. In the era of the electronic health record, support for CDSS is growing, but there is still room for improvement in terms of interoperability, deployment speed and ease, and cost.

Inferscience said that drchrono is now completely integrated with its cutting-edge clinical decision support system, Infera. End users of DrChrono will receive real-time patient-specific and evidence-based care recommendations from Infera. Infera provides a fully thorough evaluation of the patient state to intelligently back the care suggestions offered because it reads structured as well as unstructured information from within the chart. These kind of research and advancements will lead to growth of clinical decision support system.

Challenges Associated with Clinical Decision Support System will hamper the growth of the market

Several challenges are linked with the clinical decision support systems. Clinical decision support systems, though, have the potential to create more issues than they address if they are applied or designed badly. Unintuitive clinical decision support software has a negative influence on patient outcomes and businesses' financial lines by contributing to physician burnout, alarm fatigue, and prescription errors.

Segment Analysis

The global clinical decision support system market is segmented based on product, type, component, delivery mode, model, mode of advice, end user and region.

Owing to High Utilization, the Integrated CDSS with Electronic Health Record from Product Segment Accounted for Approximately 57.9% of the Clinical Decision Support System Market Share

The integrated CDSS with electronic health record category held the largest market share in 2022 and is expected to maintain its dominance over the forecast period due to a growth in chronic diseases incidence worldwide, amongst the population. As electronic health records (EHRs) develop, the incorporation of computerized clinical decision support (CDS) holds the potential of organizing, gathering, and displaying this data to enhance patient care. In a range of healthcare situations, CDS technologies have proven to be able to enhance patient outcomes.

Numerous systems are currently available in the market. In order to provide students and healthcare providers with access to a wide range and depth of reliable content, ClinicalKey was created as a clinical knowledge solution. ClinicalKey provides the most recent research across specialties to students and healthcare providers in a number of media, such as full-text reference journals and books, point-of-care monographs, prescription information, and videos. Smart search algorithms for faster results, HER connection for improved clinical workflow, and a mobile app for both Android and Apple smartphones are features.

Geographical Penetration

North America Accounted for Approximately 36.5% of the Market Share in 2022, Owing to the Strong Presence of Major Players and Increasing Healthcare Infrastructure Investment

Due to the rising need for clinical decision support system for knowledge purpose in healthcare, manufacturers in North America have chances of increasing their operations. There are many producers and suppliers in North America and owing to the quick economic growth of the region, industrial production has expanded, driving the demand for clinical decision support system treatment.

Increasing expenditure on healthcare and rising adoption among end users, advancement of technologies for products or model or modes, and increase in pharmaceutical business establishment across the region are also contributing to the growth of clinical decision support system market share of this region.

It is also anticipated that the main healthcare organizations' and enterprises' collaborative research projects as well as new product development, which constantly seeks to improve available medications alternatives, will contribute to the expanding demand. Individuals are becoming more aware of various advanced products that are being utilized for providing better product, leading to the expansion of the market in this region. The above-mentioned factors further proves the dominance of North America on a global scale.

Competitive Landscape

The major global players in the clinical decision support system market include Inferscience, Inc, Cerner (Oracle), Agfa Healthcare, NXGN Management, LLC, Carestream Health, Athenahealth, Medical Information Technology, Inc., Epic Systems Corporation, Wolters Kluwer N.V. and Elsevier among others.

COVID-19 Impact Analysis

Russia Ukraine Conflict Analysis

Due to the low prevalence as well as absence of major market participants in this region, it is predicted that the Russia-Ukraine conflict will not have a significant effect on the worldwide clinical decision support system market. The growth of the global clinical decision support system market, however, is anticipated to be relatively unaffected by the import and export of raw materials over the forecast period.

By Product

  • Standalone CDSS
  • Integrated CDSS with Electronic Health Record

By Type

  • Therapeutic CDSS
  • Diagnostic CDSS

By Component

  • Software
  • Hardware
  • Services

By Delivery Mode

  • On-premise
  • Web Based
  • Cloud Based

By Model

  • Knowledge-based CDSS
  • Non-Knowledge based CDSS

By Mode of Advice

  • Passive CDSS
  • Active CDSS

By End User

  • Hospitals & Clinics
  • Diagnostic Centers
  • Ambulatory Surgical Centers

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • U.K.
    • France
    • Spain
    • Italy
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • On June 20, 2023, the YASASII electronic medical record (EMR) solution developed by Fakeeh Technologies has become the first to incorporate Wolters Kluwer Health's UpToDate clinical decision support (CDS), a provider of clinical technology or evidence-based solutions. Three medical centers in Saudi Arabia and the United Arab Emirates now use the well acclaimed CDS, thanks to Fakeeh Care Group, a top healthcare network and care management firm.
  • On August 2, 2022, Wolters Kluwer, Health, a professional software solutions, information, and services provider for the healthcare industry, announced that it donated three most demanded clinical decision support (CDS) tools to Mercy Ships, a nonprofit organization that runs two floating hospitals serving underserved populations. The tools donated are Lexicomp, UpToDate, and Lippincott Procedures. Medical professionals operating on the Africa Mercy and the more modern, newest ship, the Global Mercy, will be assisted by the donated software.
  • On January 20, 2021, an integrated electronic patient record (EPR) system will be implemented during the course of a 10-year contract between Cerner and the County Durham and Darlington NHS Foundation Trust. Since the Trust selected Cerner to roll out the Cerner Millennium HER solution, healthcare practitioners will always have access to the complete electronic record of a patient in one location.

Why Purchase the Report?

  • To visualize the global clinical decision support system market segmentation based on product, type, component, delivery mode, model, mode of advice, end user and region as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of clinical decision support system market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global clinical decision support system market report would provide approximately 93 tables, 93 figures and 195 Pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Product
  • 3.2. Snippet by Type
  • 3.3. Snippet by Component
  • 3.4. Snippet by Delivery Mode
  • 3.5. Snippet by Model
  • 3.6. Snippet by Mode of Advice
  • 3.7. Snippet by End User
  • 3.8. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rising Prominence & Usage of Big Data and Health Tools
      • 4.1.1.2. Growing Incidence of Medication Errors
    • 4.1.2. Restraints
      • 4.1.2.1. Challenges Associated with Clinical Decision Support System
    • 4.1.3. Opportunity
      • 4.1.3.1. Rising Advancements or Research and Development by Key Players
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Forces Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID-19
    • 6.1.2. Scenario During COVID-19
    • 6.1.3. Scenario Post COVID-19
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Product

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 7.1.2. Market Attractiveness Index, By Product
  • 7.2. Standalone CDSS *
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Integrated CDSS with Electronic Health Record

8. By Type

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 8.1.2. Market Attractiveness Index, By Type
  • 8.2. Therapeutic CDSS *
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Diagnostic CDSS

9. By Component

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 9.1.2. Market Attractiveness Index, By Component
  • 9.2. Software *
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Hardware
  • 9.4. Services

10. By Delivery Mode

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Mode
    • 10.1.2. Market Attractiveness Index, By Delivery Mode
  • 10.2. On-premise *
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Web Based
  • 10.4. Cloud Based

11. By Model

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 11.1.2. Market Attractiveness Index, By Delivery Model
  • 11.2. Knowledge-based CDSS*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Non-Knowledge-based CDSS

12. By Mode of Advice

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Mode of Advice
    • 12.1.2. Market Attractiveness Index, By Mode of Device
  • 12.2. Passive CDSS *
    • 12.2.1. Introduction
    • 12.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 12.3. Active CDSS

13. By End User

  • 13.1. Introduction
    • 13.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 13.1.2. Market Attractiveness Index, By End User
  • 13.2. Hospitals & Clinics *
    • 13.2.1. Introduction
    • 13.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 13.3. Diagnostic Centers
  • 13.4. Ambulatory Surgical Centers

14. By Region

  • 14.1. Introduction
    • 14.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 14.1.2. Market Attractiveness Index, By Region
  • 14.2. North America
    • 14.2.1. Introduction
    • 14.2.2. Key Region-Specific Dynamics
    • 14.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 14.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 14.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 14.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Mode
    • 14.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 14.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Mode of Advice
    • 14.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 14.2.10. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 14.2.10.1. U.S.
      • 14.2.10.2. Canada
      • 14.2.10.3. Mexico
  • 14.3. Europe
    • 14.3.1. Introduction
    • 14.3.2. Key Region-Specific Dynamics
    • 14.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 14.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 14.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 14.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Mode
    • 14.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 14.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Mode of Advice
    • 14.3.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 14.3.10. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 14.3.10.1. Germany
      • 14.3.10.2. U.K.
      • 14.3.10.3. France
      • 14.3.10.4. Spain
      • 14.3.10.5. Italy
      • 14.3.10.6. Rest of Europe
  • 14.4. South America
    • 14.4.1. Introduction
    • 14.4.2. Key Region-Specific Dynamics
    • 12.4.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 12.4.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Mode
    • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Mode of Advice
    • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.8.1. Brazil
      • 12.4.8.2. Argentina
      • 12.4.8.3. Rest of South America
  • 12.5. Asia-Pacific
    • 12.5.1. Introduction
    • 12.5.2. Key Region-Specific Dynamics
    • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Mode
    • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Mode of Advice
    • 12.5.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 12.5.10. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.10.1. China
      • 12.5.10.2. India
      • 12.5.10.3. Japan

Australia

      • 12.5.10.4. Rest of Asia-Pacific
  • 12.6. Middle East and Africa
    • 12.6.1. Introduction
    • 12.6.2. Key Region-Specific Dynamics
    • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Mode
    • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 12.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Mode of Advice
    • 12.6.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User

13. Competitive Landscape

  • 13.1. Competitive Scenario
  • 13.2. Market Positioning/Share Analysis
  • 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

  • 14.1. Inferscience, Inc *
    • 14.1.1. Company Overview
    • 14.1.2. Product Portfolio and Description
    • 14.1.3. Financial Overview
    • 14.1.4. Key Developments
  • 14.2. Cerner (Oracle)
  • 14.3. Agfa Healthcare
  • 14.4. NXGN Management, LLC
  • 14.5. Carestream Health
  • 14.6. Athenahealth
  • 14.7. Medical Information Technology, Inc.
  • 14.8. Epic Systems Corporation
  • 14.9. Wolters Kluwer N.V.
  • 14.10. Elsevier

LIST NOT EXHAUSTIVE

15. Appendix

  • 15.1. About Us and Services
  • 15.2. Contact Us