全球临床决策支援系统市场 - 2023-2030
市场调查报告书
商品编码
1352120

全球临床决策支援系统市场 - 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: 约2个工作天内

价格

本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

概述

由于技术进步和人工智慧的使用不断增加,临床决策支援系统市场趋势显示产品的推出不断增加。它是一种独特的决策支援系统(DSS),广泛用于支援企业界的管理决策。

此外,由于模型、交付模式、组件和类型的可用性不断提高以及市场管道数量的增加,临床决策支援系统产品的采用率不断上升,而研发的增加正在推动临床决策支援系统市场规模。由于该领域不断进步,市场对北美地区产品的需求不断增长,Inferscience, Inc、Cerner (Oracle)、Agfa Healthcare 和 Athenahealth 等重要竞争对手在市场上积极运作。

动力学

大数据和健康工具的日益突出和使用推动了临床决策支援系统市场的成长

医疗保健产业从各种来源创建和分析大资料,以帮助决策、提高病患治疗效果并降低成本。电子健康记录 (HER)、个人健康记录 (PHR)、电子病历 (EMR) 以及广泛使用的数位健康工具(如穿戴式医疗技术和行动健康应用程式)产生的资料是当今最常见的大资料来源。医疗保健业。近年来,大资料在医疗保健产业的应用越来越广泛。

大资料应用的作用不仅仅是改善健康结果。大资料应用在增强管理和人员、削减成本和效率、产品开发以及策略规划方面也显示出了前景。由于上述说法,预计市场将在整个预测期内处于领先地位。

关键参与者的不断进步或研发为市场成长创造了机会

一系列决策和患者护理任务已被证明可以从 CDSS 的使用中受益,并且它们不断广泛地提高高品质护理的提供。特别是那些基于 CPOE 的应用,CDSS 的某些用途有额外的证据支持。在电子健康记录时代,对CDSS的支援不断增长,但在互通性、部署速度和易用性以及成本方面仍有改进的空间。

Inferscience表示,drchrono现已与其尖端临床决策支援系统Infera完全整合。 DrChrono 的最终用户将收到来自 Infera 的即时针对特定患者和基于证据的护理建议。 Infera 可以对患者状态进行全面彻底的评估,以聪明地支持所提供的护理建议,因为它可以从图表中读取结构化和非结构化资讯。这些研究和进步将导致临床决策支援系统的发展。

与临床决策支援系统相关的挑战将阻碍市场的成长

临床决策支援系统面临一些挑战。然而,如果应用或设计不当,临床决策支援系统可能会产生比其解决的问题更多的问题。不直观的临床决策支援软体会导致医生倦怠、警报疲劳和处方错误,从而对患者治疗结果和企业财务状况产生负面影响。

目录

第 1 章:方法与范围

  • 研究方法论
  • 报告的研究目的和范围

第 2 章:定义与概述

第 3 章:执行摘要

  • 按产品分类的片段
  • 按类型分類的片段
  • 按组件分類的片段
  • 按交付模式分類的片段
  • 按模型分類的片段
  • 按建议方式摘录
  • 最终使用者的片段
  • 按地区分類的片段

第 4 章:动力学

  • 影响因素
    • 司机
      • 大数据和健康工具的日益突出和使用
      • 用药错误的发生率不断增加
    • 限制
      • 与临床决策支援系统相关的挑战
    • 机会
      • 关键参与者的不断进步或研发
    • 影响分析

第 5 章:产业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监管分析

第 6 章:COVID-19 分析

  • COVID-19 分析
    • COVID-19 之前的情况
    • COVID-19 期间的情况
    • COVID-19 后的情景
  • COVID-19 期间的定价动态
  • 供需谱
  • 疫情期间政府与市场相关的倡议
  • 製造商策略倡议
  • 结论

第 7 章:副产品

  • 独立CDSS
  • 整合 CDSS 与电子健康纪录

第 8 章:按类型

  • 治疗性CDSS
  • 诊断性CDSS

第 9 章:按组件

  • 软体
  • 硬体
  • 服务

第 10 章:依交付模式

  • 本地部署
  • 基于网路
  • 基于云端

第 11 章:依型号

  • 基于知识的CDSS
  • 非知识型CDSS

第 12 章:按建议方式

  • 被动式CDSS
  • 主动式CDSS

第 13 章:最终用户

  • 医院和诊所
  • 诊断中心
  • 门诊手术中心

第 14 章:按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
      • 亚太其他地区
  • 中东和非洲
    • 关键地区特定动态

第13章:竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第 14 章:公司简介

  • Inferscience, Inc
    • 公司简介
    • 产品组合和描述
    • 财务概览
    • 主要进展
  • Cerner (Oracle)
  • Agfa Healthcare
  • NXGN Management, LLC
  • Carestream Health
  • Athenahealth
  • Medical Information Technology, Inc.
  • Epic Systems Corporation
  • Wolters Kluwer NV
  • Elsevier

第 15 章:附录

简介目录
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