全球臨床決策支援系統市場 - 2023-2030
市場調查報告書
商品編碼
1352120

全球臨床決策支援系統市場 - 2023-2030

Global Clinical Decision Support System Market - 2023-2030

出版日期: | 出版商: DataM Intelligence | 英文 195 Pages | 商品交期: 約2個工作天內

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簡介目錄

概述

由於技術進步和人工智慧的使用不斷增加,臨床決策支援系統市場趨勢顯示產品的推出不斷增加。它是一種獨特的決策支援系統(DSS),廣泛用於支援企業界的管理決策。

此外,由於模型、交付模式、組件和類型的可用性不斷提高以及市場管道數量的增加,臨床決策支援系統產品的採用率不斷上升,而研發的增加正在推動臨床決策支援系統市場規模。由於該領域不斷進步,市場對北美地區產品的需求不斷成長,Inferscience, Inc、Cerner (Oracle)、Agfa Healthcare 和 Athenahealth 等重要競爭對手在市場上積極運作。

動力學

巨量資料和健康工具的日益突出和使用推動了臨床決策支援系統市場的成長

醫療保健產業從各種來源創建和分析大資料,以幫助決策、提高病患治療效果並降低成本。電子健康記錄 (HER)、個人健康記錄 (PHR)、電子病歷 (EMR) 以及廣泛使用的數位健康工具(如穿戴式醫療技術和行動健康應用程式)產生的資料是當今最常見的大資料來源。醫療保健業。近年來,大資料在醫療保健產業的應用越來越廣泛。

大資料應用的作用不僅僅是改善健康結果。大資料應用在增強管理和人員、削減成本和效率、產品開發以及策略規劃方面也顯示出了前景。由於上述說法,預計市場將在整個預測期內處於領先地位。

關鍵參與者的不斷進步或研發為市場成長創造了機會

一系列決策和患者護理任務已被證明可以從 CDSS 的使用中受益,並且它們不斷廣泛地提高高品質護理的提供。特別是那些基於 CPOE 的應用,CDSS 的某些用途有額外的證據支持。在電子健康記錄時代,對CDSS的支援不斷成長,但在互通性、部署速度和易用性以及成本方面仍有改進的空間。

Inferscience表示,drchrono現已與其尖端臨床決策支援系統Infera完全整合。 DrChrono 的最終用戶將收到來自 Infera 的即時針對特定患者和基於證據的護理建議。 Infera 可以對患者狀態進行全面徹底的評估,以聰明地支持所提供的護理建議,因為它可以從圖表中讀取結構化和非結構化資訊。這些研究和進步將促使臨床決策支援系統的發展。

與臨床決策支援系統相關的課題將阻礙市場的成長

臨床決策支援系統面臨一些課題。然而,如果應用或設計不當,臨床決策支援系統可能會產生比其解決的問題更多的問題。不直覺的臨床決策支援軟體會促使醫生倦怠、警報疲勞和處方錯誤,從而對患者治療結果和企業財務狀況產生負面影響。

目錄

第 1 章:方法與範圍

  • 研究方法論
  • 報告的研究目的和範圍

第 2 章:定義與概述

第 3 章:執行摘要

  • 依產品分類
  • 依類型分類區隔
  • 依組件分類區隔
  • 依交付模式分類區隔
  • 依模型分類區隔
  • 依建議方式區隔
  • 最終使用者區隔
  • 依地區分類區隔

第 4 章:動力學

  • 影響因素
    • 動力
      • 巨量資料和健康工具的日益突出和使用
      • 用藥錯誤的發生率不斷增加
    • 限制
      • 與臨床決策支援系統相關的課題
    • 機會
      • 關鍵參與者的不斷進步或研發
    • 影響分析

第 5 章:產業分析

  • 波特五力分析
  • 供應鏈分析
  • 定價分析
  • 監管分析

第 6 章:COVID-19 分析

  • COVID-19 分析
    • COVID-19 之前的情況
    • COVID-19 期間的情況
    • COVID-19 後的情景
  • COVID-19 期間的定價動態
  • 供需譜
  • 疫情期間政府與市場相關的舉措
  • 製造商策略舉措
  • 結論

第 7 章:副產品

  • 獨立CDSS
  • 整合 CDSS 與電子健康紀錄

第 8 章:依類型

  • 治療性CDSS
  • 診斷性CDSS

第 9 章:依組件

  • 軟體
  • 硬體
  • 服務

第 10 章:依交付模式

  • 本地部署
  • 基於網路
  • 基於雲端

第 11 章:依型號

  • 基於知識的CDSS
  • 非知識型CDSS

第 12 章:依建議方式

  • 被動式CDSS
  • 主動式CDSS

第 13 章:最終用戶

  • 醫院和診所
  • 診斷中心
  • 門診手術中心

第 14 章:依地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
      • 亞太其他地區
  • 中東和非洲
    • 關鍵地區特定動態

第13章:競爭格局

  • 競爭場景
  • 市場定位/佔有率分析
  • 併購分析

第 14 章:公司簡介

  • Inferscience, Inc
    • 公司簡介
    • 產品組合和描述
    • 財務概覽
    • 主要進展
  • Cerner (Oracle)
  • Agfa Healthcare
  • NXGN Management, LLC
  • Carestream Health
  • Athenahealth
  • Medical Information Technology, Inc.
  • Epic Systems Corporation
  • Wolters Kluwer NV
  • Elsevier

第 15 章:附錄

簡介目錄
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