デフォルト表紙
市場調査レポート
商品コード
1566944

臨床意思決定支援プラットフォーム市場:コンポーネント別、提供形態別、用途別、エンドユーザー別:世界の機会分析と産業予測、2024年~2033年

Clinical Decision Support Platform Market By Component , By Delivery Mode By Application By End User : Global Opportunity Analysis and Industry Forecast, 2024-2033


出版日
ページ情報
英文 216 Pages
納期
2~3営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.82円
臨床意思決定支援プラットフォーム市場:コンポーネント別、提供形態別、用途別、エンドユーザー別:世界の機会分析と産業予測、2024年~2033年
出版日: 2024年07月10日
発行: Allied Market Research
ページ情報: 英文 216 Pages
納期: 2~3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

臨床意思決定支援プラットフォーム市場

臨床意思決定支援プラットフォーム市場は、2023年に12億米ドルと評価され、2024年から2033年にかけてCAGR 7.3%で成長し、2033年には24億米ドルに達すると予測されています。

臨床意思決定支援プラットフォームは、意思決定プロセスを洗練させることによってヘルスケアの提供を強化するために設計されたシステムです。このプラットフォームは、患者データと健康記録を既存のデータベースや評価と比較し、オーダーメイドの推奨事項を提供します。このプラットフォームの目的は、正確な診断、最適化された治療計画、エラーの減少、適切な診療の厳守を通じて、ヘルスケア提供の質を高めることです。

さまざまな地域におけるヘルスケアと患者の安全性にかかる支出の増加が、臨床意思決定支援プラットフォーム市場の成長を促進しています。また、臨床意思決定支援プラットフォームは、リソースの最適な利用を促進し、不必要な病院再入院のケースを減らすことでコスト削減を支援するため、高い需要を目の当たりにしています。デジタル時代には、AIとディープラーニングの特性を活用した臨床意思決定支援プラットフォームが脚光を浴びています。AIは、大量のデータを短時間で正確に評価・解釈することを可能にします。さらに、ディープラーニングは予測分析、パターン分析、画像認識を通じてAIの特性を補完します。

しかし、必要なリソースやインフラの構築とともに、プラットフォームの設置やメンテナンスは高価なプロセスであり、臨床意思決定支援プラットフォーム市場の成長抑制要因となっています。さらに、これらのプラットフォームはデータ漏洩やサイバー攻撃のリスクが高く、市場開拓の妨げとなっています。例えば、アメリカのヘルスケア企業であるチェンジ・ヘルスケアは、2024年2月にランサムウェア攻撃の標的となり、不正アクセスにより数百万人のアメリカ人の健康データが危険にさらされました。

セグメント別レビュー

臨床意思決定支援プラットフォーム市場は、コンポーネント、提供形態、アプリケーション、エンドユーザー、地域に区分されます。コンポーネント別では、市場はソフトウェアとサービスに二分されます。提供形態によって、オンプレミスとクラウドベースに分けられます。アプリケーション別では、薬物アレルギー警告、臨床ガイドライン、薬物-薬物相互作用、臨床リマインダー、その他に分類されます。エンドユーザー別では、病院、診療所、外来医療センター、学術・研究機関に分類されます。地域別では、北米、欧州、アジア太平洋、LAMEAで分析されています。

主な調査結果

コンポーネント別では、ソフトウェア分野が2023年の市場を独占しました。

デリバリーモード別では、オンプレミスセグメントが2023年の市場で高いシェアを獲得しました。

用途別では、薬物-薬物相互作用分野が2023年に高い市場シェアを占めました。

エンドユーザー別では、病院セグメントが2023年に市場で高いシェアを獲得しました。

地域別では、北米が2023年に最も高い収益を上げました。

本レポートのカスタマイズが可能です。

  • 規制ガイドライン
  • 顧客の関心に応じた企業プロファイルの追加
  • 企業プロファイルの拡張リスト
  • 過去の市場データ
  • 償還シナリオ

目次

第1章 イントロダクション

第2章 エグゼクティブサマリー

第3章 市場情勢

  • 市場の定義と範囲
  • 主な調査結果
    • 主な投資機会
    • 主要成功戦略
  • ポーターのファイブフォース分析
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会

第4章 臨床意思決定支援プラットフォーム市場:コンポーネント別

  • 市場概要
  • ソフトウェア
  • サービス

第5章 臨床意思決定支援プラットフォーム市場:提供形態別

  • 市場概要
  • オンプレミス
  • クラウドベース

第6章 臨床意思決定支援プラットフォーム市場:用途別

  • 市場概要
  • 薬剤アレルギー警告
  • 臨床ガイドライン
  • 薬物-薬物相互作用
  • 臨床リマインダー
  • その他

第7章 臨床意思決定支援プラットフォーム市場:エンドユーザー別

  • 市場概要
  • 病院
  • 診療所
  • 外来診療センター
  • 学術研究機関

第8章 臨床意思決定支援プラットフォーム市場:地域別

  • 市場概要
  • 北米
    • 主な市場動向と機会
    • 米国の臨床意思決定支援プラットフォーム市場
    • カナダの臨床意思決定支援プラットフォーム市場
    • メキシコ臨床意思決定支援プラットフォーム市場
  • 欧州
    • 主な市場動向と機会
    • フランスの臨床意思決定支援プラットフォーム市場
    • ドイツの臨床意思決定支援プラットフォーム市場
    • イタリアの臨床意思決定支援プラットフォーム市場
    • スペインの臨床意思決定支援プラットフォーム市場
    • 英国の臨床意思決定支援プラットフォーム市場
    • その他欧州の臨床意思決定支援プラットフォーム市場
  • アジア太平洋
    • 主な市場動向と機会
    • 中国の臨床意思決定支援プラットフォーム市場
    • 日本の臨床意思決定支援プラットフォーム市場
    • インドの臨床意思決定支援プラットフォーム市場
    • 韓国の臨床意思決定支援プラットフォーム市場
    • オーストラリアの臨床意思決定支援プラットフォーム市場
    • その他アジア太平洋の臨床意思決定支援プラットフォーム市場
  • ラテンアメリカ・中東・アフリカ
    • 主な市場動向と機会
    • ブラジルの臨床意思決定支援プラットフォーム市場
    • 南アフリカの臨床意思決定支援プラットフォーム市場
    • サウジアラビアの臨床意思決定支援プラットフォーム市場
    • その他のラテンアメリカ・中東・アフリカの臨床意思決定支援プラットフォーム市場

第9章 競合情勢

  • イントロダクション
  • 主要成功戦略
  • 主要10企業の製品マッピング
  • 競合ダッシュボード
  • 競合ヒートマップ
  • 主要企業のポジショニング(2023年)

第10章 企業プロファイル

  • Cerner Corporation
  • EPIC Systems Corporation
  • IBM
  • Change Healthcare Corporation
  • Medical Information Technology Inc
  • Koninklijke Philips NV
  • Siemens Healthcare
  • Allscripts Healthcare Solutions Inc.
  • Wolters Kluwer NV
  • McKesson Corporation.
目次
Product Code: A323980

Clinical Decision Support Platform Market

The clinical decision support platform market was valued at $1.2 billion in 2023 and is projected to reach $2.4 billion by 2033, growing at a CAGR of 7.3% from 2024 to 2033.

Clinical decision support platform is a system designed to enhance the delivery of healthcare by refining the decision-making process. The platform compares patient data & health records with the existing database & assessments and provides tailored recommendations. The aim of the platform is to elevate the quality of healthcare delivery through precise diagnoses, optimized treatment plans, reduced errors, and strict adherence to appropriate practices.

Increase in expenditure of healthcare and patient safety across different regions is driving the growth of the clinical decision support platform market. In addition, the clinical decision support platform is witnessing a high demand as it aids in cost savings by facilitating the optimal usage of resources and reducing the cases of unnecessary hospital readmissions. In the digital era, clinical decision support platforms powered by the properties of AI and deep learning are gaining prominence. AI enables the precise assessment and interpretation of loads of data in a short span of time. Moreover, deep learning complements the attributes of AI through predictive analysis, pattern analysis, and image recognition.

However, the installation and maintenance of the platform, along with the assembly of necessary resources & infrastructure is an expensive process that restraints the growth of the clinical decision support platform market. Furthermore, these platforms remain at a high risk of data breach and cyberattacks, which hampers the market development. For instance, Change Healthcare-an American healthcare company-was targeted to a ransomware attack on February 2024, risking the health data of millions of Americans due to unauthorized access.

Segment Review

The clinical decision support platform market is segmented into component, delivery mode, application, end user, and region. On the basis of component, the market is bifurcated into software and services. As per delivery mode, it is divided into on-premises and cloud based. Depending on application, it is classified into drug allergy alerts, clinical guidelines, drug-drug interactions, clinical reminders, and others. By end user, it is categorized into hospitals, clinics, ambulatory care centers, and academic & research institutes. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Key Findings

On the basis of component, the software segment dominated the market in 2023.

As per delivery mode, the on-premises segment acquired a high stake in the market in 2023.

Depending on application, the drug-drug interactions segment accounted for a high market share in 2023.

By end user, the hospitals segment was the highest shareholder of the market in 2023.

Region wise, North America was the highest revenue generator in 2023.

Competition Analysis

The major players of the global clinical decision support platform market include Cerner Corporation, EPIC Systems Corporation, IBM, Change Healthcare Corporation, Medical Information Technology Inc, Koninklijke Philips NV, Siemens Healthcare, Allscripts Healthcare Solutions Inc., Wolters Kluwer NV, and McKesson Corporation. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, to strengthen their foothold in the competitive market.

Additional benefits you will get with this purchase are:

  • Quarterly Update and* (only available with a corporate license, on listed price)
  • 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
  • Free Upcoming Version on the Purchase of Five and Enterprise User License.
  • 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
  • 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
  • Free data Pack on the Five and Enterprise User License. (Excel version of the report)
  • Free Updated report if the report is 6-12 months old or older.
  • 24-hour priority response*
  • Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

  • Regulatory Guidelines
  • Additional company profiles with specific to client's interest
  • Expanded list for Company Profiles
  • Historic market data
  • Reimbursement Scenario

Key Market Segments

By Component

  • Software
  • Services

By Delivery Mode

  • On-Premises
  • Cloud Based

By Application

  • Drug Allergy Alerts
  • Clinical Guidelines
  • Drug-Drug Interactions
  • Clinical Reminders
  • Others

By End User

  • Hospitals
  • Clinics
  • Ambulatory Care Centers
  • Academic and Research Institutes

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • France
    • Germany
    • Italy
    • Spain
    • UK
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • South Africa
    • Saudi Arabia
    • Rest of LAMEA

Key Market Players:

    • Cerner Corporation
    • EPIC Systems Corporation
    • IBM
    • Change Healthcare Corporation
    • Medical Information Technology Inc
    • Koninklijke Philips NV
    • Siemens Healthcare
    • Allscripts Healthcare Solutions Inc.
    • Wolters Kluwer NV
    • McKesson Corporation.

TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION

  • 1.1. Report Description
  • 1.2. Key Market Segments
  • 1.3. Key Benefits
  • 1.4. Research Methodology
    • 1.4.1. Primary Research
    • 1.4.2. Secondary Research
    • 1.4.3. Analyst Tools and Models

CHAPTER 2: EXECUTIVE SUMMARY

  • 2.1. CXO Perspective

CHAPTER 3: MARKET LANDSCAPE

  • 3.1. Market Definition and Scope
  • 3.2. Key Findings
    • 3.2.1. Top Investment Pockets
    • 3.2.2. Top Winning Strategies
  • 3.3. Porter's Five Forces Analysis
    • 3.3.1. Bargaining Power of Suppliers
    • 3.3.2. Threat of New Entrants
    • 3.3.3. Threat of Substitutes
    • 3.3.4. Competitive Rivalry
    • 3.3.5. Bargaining Power among Buyers
  • 3.4. Market Dynamics
    • 3.4.1. Drivers
    • 3.4.2. Restraints
    • 3.4.3. Opportunities

CHAPTER 4: CLINICAL DECISION SUPPORT PLATFORM MARKET, BY COMPONENT

  • 4.1. Market Overview
    • 4.1.1 Market Size and Forecast, By Component
  • 4.2. Software
    • 4.2.1. Key Market Trends, Growth Factors and Opportunities
    • 4.2.2. Market Size and Forecast, By Region
    • 4.2.3. Market Share Analysis, By Country
  • 4.3. Services
    • 4.3.1. Key Market Trends, Growth Factors and Opportunities
    • 4.3.2. Market Size and Forecast, By Region
    • 4.3.3. Market Share Analysis, By Country

CHAPTER 5: CLINICAL DECISION SUPPORT PLATFORM MARKET, BY DELIVERY MODE

  • 5.1. Market Overview
    • 5.1.1 Market Size and Forecast, By Delivery Mode
  • 5.2. On-Premises
    • 5.2.1. Key Market Trends, Growth Factors and Opportunities
    • 5.2.2. Market Size and Forecast, By Region
    • 5.2.3. Market Share Analysis, By Country
  • 5.3. Cloud Based
    • 5.3.1. Key Market Trends, Growth Factors and Opportunities
    • 5.3.2. Market Size and Forecast, By Region
    • 5.3.3. Market Share Analysis, By Country

CHAPTER 6: CLINICAL DECISION SUPPORT PLATFORM MARKET, BY APPLICATION

  • 6.1. Market Overview
    • 6.1.1 Market Size and Forecast, By Application
  • 6.2. Drug Allergy Alerts
    • 6.2.1. Key Market Trends, Growth Factors and Opportunities
    • 6.2.2. Market Size and Forecast, By Region
    • 6.2.3. Market Share Analysis, By Country
  • 6.3. Clinical Guidelines
    • 6.3.1. Key Market Trends, Growth Factors and Opportunities
    • 6.3.2. Market Size and Forecast, By Region
    • 6.3.3. Market Share Analysis, By Country
  • 6.4. Drug-Drug Interactions
    • 6.4.1. Key Market Trends, Growth Factors and Opportunities
    • 6.4.2. Market Size and Forecast, By Region
    • 6.4.3. Market Share Analysis, By Country
  • 6.5. Clinical Reminders
    • 6.5.1. Key Market Trends, Growth Factors and Opportunities
    • 6.5.2. Market Size and Forecast, By Region
    • 6.5.3. Market Share Analysis, By Country
  • 6.6. Others
    • 6.6.1. Key Market Trends, Growth Factors and Opportunities
    • 6.6.2. Market Size and Forecast, By Region
    • 6.6.3. Market Share Analysis, By Country

CHAPTER 7: CLINICAL DECISION SUPPORT PLATFORM MARKET, BY END USER

  • 7.1. Market Overview
    • 7.1.1 Market Size and Forecast, By End User
  • 7.2. Hospitals
    • 7.2.1. Key Market Trends, Growth Factors and Opportunities
    • 7.2.2. Market Size and Forecast, By Region
    • 7.2.3. Market Share Analysis, By Country
  • 7.3. Clinics
    • 7.3.1. Key Market Trends, Growth Factors and Opportunities
    • 7.3.2. Market Size and Forecast, By Region
    • 7.3.3. Market Share Analysis, By Country
  • 7.4. Ambulatory Care Centers
    • 7.4.1. Key Market Trends, Growth Factors and Opportunities
    • 7.4.2. Market Size and Forecast, By Region
    • 7.4.3. Market Share Analysis, By Country
  • 7.5. Academic And Research Institutes
    • 7.5.1. Key Market Trends, Growth Factors and Opportunities
    • 7.5.2. Market Size and Forecast, By Region
    • 7.5.3. Market Share Analysis, By Country

CHAPTER 8: CLINICAL DECISION SUPPORT PLATFORM MARKET, BY REGION

  • 8.1. Market Overview
    • 8.1.1 Market Size and Forecast, By Region
  • 8.2. North America
    • 8.2.1. Key Market Trends and Opportunities
    • 8.2.2. Market Size and Forecast, By Component
    • 8.2.3. Market Size and Forecast, By Delivery Mode
    • 8.2.4. Market Size and Forecast, By Application
    • 8.2.5. Market Size and Forecast, By End User
    • 8.2.6. Market Size and Forecast, By Country
    • 8.2.7. U.S. Clinical Decision Support Platform Market
      • 8.2.7.1. Market Size and Forecast, By Component
      • 8.2.7.2. Market Size and Forecast, By Delivery Mode
      • 8.2.7.3. Market Size and Forecast, By Application
      • 8.2.7.4. Market Size and Forecast, By End User
    • 8.2.8. Canada Clinical Decision Support Platform Market
      • 8.2.8.1. Market Size and Forecast, By Component
      • 8.2.8.2. Market Size and Forecast, By Delivery Mode
      • 8.2.8.3. Market Size and Forecast, By Application
      • 8.2.8.4. Market Size and Forecast, By End User
    • 8.2.9. Mexico Clinical Decision Support Platform Market
      • 8.2.9.1. Market Size and Forecast, By Component
      • 8.2.9.2. Market Size and Forecast, By Delivery Mode
      • 8.2.9.3. Market Size and Forecast, By Application
      • 8.2.9.4. Market Size and Forecast, By End User
  • 8.3. Europe
    • 8.3.1. Key Market Trends and Opportunities
    • 8.3.2. Market Size and Forecast, By Component
    • 8.3.3. Market Size and Forecast, By Delivery Mode
    • 8.3.4. Market Size and Forecast, By Application
    • 8.3.5. Market Size and Forecast, By End User
    • 8.3.6. Market Size and Forecast, By Country
    • 8.3.7. France Clinical Decision Support Platform Market
      • 8.3.7.1. Market Size and Forecast, By Component
      • 8.3.7.2. Market Size and Forecast, By Delivery Mode
      • 8.3.7.3. Market Size and Forecast, By Application
      • 8.3.7.4. Market Size and Forecast, By End User
    • 8.3.8. Germany Clinical Decision Support Platform Market
      • 8.3.8.1. Market Size and Forecast, By Component
      • 8.3.8.2. Market Size and Forecast, By Delivery Mode
      • 8.3.8.3. Market Size and Forecast, By Application
      • 8.3.8.4. Market Size and Forecast, By End User
    • 8.3.9. Italy Clinical Decision Support Platform Market
      • 8.3.9.1. Market Size and Forecast, By Component
      • 8.3.9.2. Market Size and Forecast, By Delivery Mode
      • 8.3.9.3. Market Size and Forecast, By Application
      • 8.3.9.4. Market Size and Forecast, By End User
    • 8.3.10. Spain Clinical Decision Support Platform Market
      • 8.3.10.1. Market Size and Forecast, By Component
      • 8.3.10.2. Market Size and Forecast, By Delivery Mode
      • 8.3.10.3. Market Size and Forecast, By Application
      • 8.3.10.4. Market Size and Forecast, By End User
    • 8.3.11. UK Clinical Decision Support Platform Market
      • 8.3.11.1. Market Size and Forecast, By Component
      • 8.3.11.2. Market Size and Forecast, By Delivery Mode
      • 8.3.11.3. Market Size and Forecast, By Application
      • 8.3.11.4. Market Size and Forecast, By End User
    • 8.3.12. Rest of Europe Clinical Decision Support Platform Market
      • 8.3.12.1. Market Size and Forecast, By Component
      • 8.3.12.2. Market Size and Forecast, By Delivery Mode
      • 8.3.12.3. Market Size and Forecast, By Application
      • 8.3.12.4. Market Size and Forecast, By End User
  • 8.4. Asia-Pacific
    • 8.4.1. Key Market Trends and Opportunities
    • 8.4.2. Market Size and Forecast, By Component
    • 8.4.3. Market Size and Forecast, By Delivery Mode
    • 8.4.4. Market Size and Forecast, By Application
    • 8.4.5. Market Size and Forecast, By End User
    • 8.4.6. Market Size and Forecast, By Country
    • 8.4.7. China Clinical Decision Support Platform Market
      • 8.4.7.1. Market Size and Forecast, By Component
      • 8.4.7.2. Market Size and Forecast, By Delivery Mode
      • 8.4.7.3. Market Size and Forecast, By Application
      • 8.4.7.4. Market Size and Forecast, By End User
    • 8.4.8. Japan Clinical Decision Support Platform Market
      • 8.4.8.1. Market Size and Forecast, By Component
      • 8.4.8.2. Market Size and Forecast, By Delivery Mode
      • 8.4.8.3. Market Size and Forecast, By Application
      • 8.4.8.4. Market Size and Forecast, By End User
    • 8.4.9. India Clinical Decision Support Platform Market
      • 8.4.9.1. Market Size and Forecast, By Component
      • 8.4.9.2. Market Size and Forecast, By Delivery Mode
      • 8.4.9.3. Market Size and Forecast, By Application
      • 8.4.9.4. Market Size and Forecast, By End User
    • 8.4.10. South Korea Clinical Decision Support Platform Market
      • 8.4.10.1. Market Size and Forecast, By Component
      • 8.4.10.2. Market Size and Forecast, By Delivery Mode
      • 8.4.10.3. Market Size and Forecast, By Application
      • 8.4.10.4. Market Size and Forecast, By End User
    • 8.4.11. Australia Clinical Decision Support Platform Market
      • 8.4.11.1. Market Size and Forecast, By Component
      • 8.4.11.2. Market Size and Forecast, By Delivery Mode
      • 8.4.11.3. Market Size and Forecast, By Application
      • 8.4.11.4. Market Size and Forecast, By End User
    • 8.4.12. Rest of Asia-Pacific Clinical Decision Support Platform Market
      • 8.4.12.1. Market Size and Forecast, By Component
      • 8.4.12.2. Market Size and Forecast, By Delivery Mode
      • 8.4.12.3. Market Size and Forecast, By Application
      • 8.4.12.4. Market Size and Forecast, By End User
  • 8.5. LAMEA
    • 8.5.1. Key Market Trends and Opportunities
    • 8.5.2. Market Size and Forecast, By Component
    • 8.5.3. Market Size and Forecast, By Delivery Mode
    • 8.5.4. Market Size and Forecast, By Application
    • 8.5.5. Market Size and Forecast, By End User
    • 8.5.6. Market Size and Forecast, By Country
    • 8.5.7. Brazil Clinical Decision Support Platform Market
      • 8.5.7.1. Market Size and Forecast, By Component
      • 8.5.7.2. Market Size and Forecast, By Delivery Mode
      • 8.5.7.3. Market Size and Forecast, By Application
      • 8.5.7.4. Market Size and Forecast, By End User
    • 8.5.8. South Africa Clinical Decision Support Platform Market
      • 8.5.8.1. Market Size and Forecast, By Component
      • 8.5.8.2. Market Size and Forecast, By Delivery Mode
      • 8.5.8.3. Market Size and Forecast, By Application
      • 8.5.8.4. Market Size and Forecast, By End User
    • 8.5.9. Saudi Arabia Clinical Decision Support Platform Market
      • 8.5.9.1. Market Size and Forecast, By Component
      • 8.5.9.2. Market Size and Forecast, By Delivery Mode
      • 8.5.9.3. Market Size and Forecast, By Application
      • 8.5.9.4. Market Size and Forecast, By End User
    • 8.5.10. Rest of LAMEA Clinical Decision Support Platform Market
      • 8.5.10.1. Market Size and Forecast, By Component
      • 8.5.10.2. Market Size and Forecast, By Delivery Mode
      • 8.5.10.3. Market Size and Forecast, By Application
      • 8.5.10.4. Market Size and Forecast, By End User

CHAPTER 9: COMPETITIVE LANDSCAPE

  • 9.1. Introduction
  • 9.2. Top Winning Strategies
  • 9.3. Product Mapping of Top 10 Player
  • 9.4. Competitive Dashboard
  • 9.5. Competitive Heatmap
  • 9.6. Top Player Positioning, 2023

CHAPTER 10: COMPANY PROFILES

  • 10.1. Cerner Corporation
    • 10.1.1. Company Overview
    • 10.1.2. Key Executives
    • 10.1.3. Company Snapshot
    • 10.1.4. Operating Business Segments
    • 10.1.5. Product Portfolio
    • 10.1.6. Business Performance
    • 10.1.7. Key Strategic Moves and Developments
  • 10.2. EPIC Systems Corporation
    • 10.2.1. Company Overview
    • 10.2.2. Key Executives
    • 10.2.3. Company Snapshot
    • 10.2.4. Operating Business Segments
    • 10.2.5. Product Portfolio
    • 10.2.6. Business Performance
    • 10.2.7. Key Strategic Moves and Developments
  • 10.3. IBM
    • 10.3.1. Company Overview
    • 10.3.2. Key Executives
    • 10.3.3. Company Snapshot
    • 10.3.4. Operating Business Segments
    • 10.3.5. Product Portfolio
    • 10.3.6. Business Performance
    • 10.3.7. Key Strategic Moves and Developments
  • 10.4. Change Healthcare Corporation
    • 10.4.1. Company Overview
    • 10.4.2. Key Executives
    • 10.4.3. Company Snapshot
    • 10.4.4. Operating Business Segments
    • 10.4.5. Product Portfolio
    • 10.4.6. Business Performance
    • 10.4.7. Key Strategic Moves and Developments
  • 10.5. Medical Information Technology Inc
    • 10.5.1. Company Overview
    • 10.5.2. Key Executives
    • 10.5.3. Company Snapshot
    • 10.5.4. Operating Business Segments
    • 10.5.5. Product Portfolio
    • 10.5.6. Business Performance
    • 10.5.7. Key Strategic Moves and Developments
  • 10.6. Koninklijke Philips NV
    • 10.6.1. Company Overview
    • 10.6.2. Key Executives
    • 10.6.3. Company Snapshot
    • 10.6.4. Operating Business Segments
    • 10.6.5. Product Portfolio
    • 10.6.6. Business Performance
    • 10.6.7. Key Strategic Moves and Developments
  • 10.7. Siemens Healthcare
    • 10.7.1. Company Overview
    • 10.7.2. Key Executives
    • 10.7.3. Company Snapshot
    • 10.7.4. Operating Business Segments
    • 10.7.5. Product Portfolio
    • 10.7.6. Business Performance
    • 10.7.7. Key Strategic Moves and Developments
  • 10.8. Allscripts Healthcare Solutions Inc.
    • 10.8.1. Company Overview
    • 10.8.2. Key Executives
    • 10.8.3. Company Snapshot
    • 10.8.4. Operating Business Segments
    • 10.8.5. Product Portfolio
    • 10.8.6. Business Performance
    • 10.8.7. Key Strategic Moves and Developments
  • 10.9. Wolters Kluwer NV
    • 10.9.1. Company Overview
    • 10.9.2. Key Executives
    • 10.9.3. Company Snapshot
    • 10.9.4. Operating Business Segments
    • 10.9.5. Product Portfolio
    • 10.9.6. Business Performance
    • 10.9.7. Key Strategic Moves and Developments
  • 10.10. McKesson Corporation.
    • 10.10.1. Company Overview
    • 10.10.2. Key Executives
    • 10.10.3. Company Snapshot
    • 10.10.4. Operating Business Segments
    • 10.10.5. Product Portfolio
    • 10.10.6. Business Performance
    • 10.10.7. Key Strategic Moves and Developments