Chapter 1. Research Scope
1.1. Research Objectives
1.2. Market Definition
1.3. Analysis Period
1.4. Market Size Breakdown by Segments
1.4.1. Market size breakdown, by type
1.4.2. Market size breakdown, by software
1.4.3. Market size breakdown, by pricing model
1.4.4. Market size breakdown, by deployment
1.4.5. Market size breakdown, by database
1.4.6. Market size breakdown, by functionality
1.4.7. Market size breakdown, by end user
1.4.8. Market size breakdown, by region
1.4.9. Market size breakdown, by country
1.5. Market Data Reporting Unit
1.5.1. Value
1.6. Key Stakeholders
Chapter 2. Research Methodology
2.1. Secondary Research
2.1.1. Paid
2.1.2. Unpaid
2.1.3. P&S Intelligence database
2.2. Primary Research
2.3. Market Size Estimation
2.4. Data Triangulation
2.5. Currency Conversion Rates
2.6. Assumptions for the Study
2.7. Notes and Caveats
Chapter 3. Executive Summary
Chapter 4. Market Indicators
Chapter 5. Industry Outlook
5.1. Market Dynamics
5.1.1. Trends
5.1.2. Drivers
5.1.3. Restraints/challenges
5.1.4. Impact analysis of drivers/restraints
5.2. Impact of COVID-19
5.3. Porter’s Five Forces Analysis
5.3.1. Bargaining power of buyers
5.3.2. Bargaining power of suppliers
5.3.3. Threat of new entrants
5.3.4. Intensity of rivalry
5.3.5. Threat of substitutes
Chapter 6. Global Market
6.1. Overview
6.2. Market Revenue, by Type (2017–2030)
6.3. Market Revenue, by Software (2017–2030)
6.4. Market Revenue, by Pricing Model (2017–2030)
6.5. Market Revenue, by Deployment (2017–2030)
6.6. Market Revenue, by Database (2017–2030)
6.7. Market Revenue, by Functionality (2017–2030)
6.8. Market Revenue, by End User (2017–2030)
6.9. Market Revenue, by Region (2017–2030)
Chapter 7. North America Market
7.1. Overview
7.2. Market Revenue, by Type (2017–2030)
7.3. Market Revenue, by Software (2017–2030)
7.4. Market Revenue, by Pricing Model (2017–2030)
7.5. Market Revenue, by Deployment (2017–2030)
7.6. Market Revenue, by Database (2017–2030)
7.7. Market Revenue, by Functionality (2017–2030)
7.8. Market Revenue, by End User (2017–2030)
7.9. Market Revenue, by Country (2017–2030)
Chapter 8. Europe Market
8.1. Overview
8.2. Market Revenue, by Type (2017–2030)
8.3. Market Revenue, by Software (2017–2030)
8.4. Market Revenue, by Pricing Model (2017–2030)
8.5. Market Revenue, by Deployment (2017–2030)
8.6. Market Revenue, by Database (2017–2030)
8.7. Market Revenue, by Functionality (2017–2030)
8.8. Market Revenue, by End User (2017–2030)
8.9. Market Revenue, by Country (2017–2030)
Chapter 9. APAC Market
9.1. Overview
9.2. Market Revenue, by Type (2017–2030)
9.3. Market Revenue, by Software (2017–2030)
9.4. Market Revenue, by Pricing Model (2017–2030)
9.5. Market Revenue, by Deployment (2017–2030)
9.6. Market Revenue, by Database (2017–2030)
9.7. Market Revenue, by Functionality (2017–2030)
9.8. Market Revenue, by End User (2017–2030)
9.9. Market Revenue, by Country (2017–2030)
Chapter 10. LATAM Market
10.1. Overview
10.2. Market Revenue, by Type (2017–2030)
10.3. Market Revenue, by Software (2017–2030)
10.4. Market Revenue, by Pricing Model (2017–2030)
10.5. Market Revenue, by Deployment (2017–2030)
10.6. Market Revenue, by Database (2017–2030)
10.7. Market Revenue, by Functionality (2017–2030)
10.8. Market Revenue, by End User (2017–2030)
10.9. Market Revenue, by Country (2017–2030)
Chapter 11. MEA Market
11.1. Overview
11.2. Market Revenue, by Type (2017–2030)
11.3. Market Revenue, by Software (2017–2030)
11.4. Market Revenue, by Pricing Model (2017–2030)
11.5. Market Revenue, by Deployment (2017–2030)
11.6. Market Revenue, by Database (2017–2030)
11.7. Market Revenue, by Functionality (2017–2030)
11.8. Market Revenue, by End User (2017–2030)
11.9. Market Revenue, by Country (2017–2030)
Chapter 12. U.S. Market
12.1. Overview
12.2. Market Revenue, by Type (2017–2030)
12.3. Market Revenue, by Software (2017–2030)
12.4. Market Revenue, by Pricing Model (2017–2030)
12.5. Market Revenue, by Deployment (2017–2030)
12.6. Market Revenue, by Database (2017–2030)
12.7. Market Revenue, by Functionality (2017–2030)
12.8. Market Revenue, by End User (2017–2030)
Chapter 13. Canada Market
13.1. Overview
13.2. Market Revenue, by Type (2017–2030)
13.3. Market Revenue, by Software (2017–2030)
13.4. Market Revenue, by Pricing Model (2017–2030)
13.5. Market Revenue, by Deployment (2017–2030)
13.6. Market Revenue, by Database (2017–2030)
13.7. Market Revenue, by Functionality (2017–2030)
13.8. Market Revenue, by End User (2017–2030)
Chapter 14. Germany Market
14.1. Overview
14.2. Market Revenue, by Type (2017–2030)
14.3. Market Revenue, by Software (2017–2030)
14.4. Market Revenue, by Pricing Model (2017–2030)
14.5. Market Revenue, by Deployment (2017–2030)
14.6. Market Revenue, by Database (2017–2030)
14.7. Market Revenue, by Functionality (2017–2030)
14.8. Market Revenue, by End User (2017–2030)
Chapter 15. France Market
15.1. Overview
15.2. Market Revenue, by Type (2017–2030)
15.3. Market Revenue, by Software (2017–2030)
15.4. Market Revenue, by Pricing Model (2017–2030)
15.5. Market Revenue, by Deployment (2017–2030)
15.6. Market Revenue, by Database (2017–2030)
15.7. Market Revenue, by Functionality (2017–2030)
15.8. Market Revenue, by End User (2017–2030)
Chapter 16. U.K. Market
16.1. Overview
16.2. Market Revenue, by Type (2017–2030)
16.3. Market Revenue, by Software (2017–2030)
16.4. Market Revenue, by Pricing Model (2017–2030)
16.5. Market Revenue, by Deployment (2017–2030)
16.6. Market Revenue, by Database (2017–2030)
16.7. Market Revenue, by Functionality (2017–2030)
16.8. Market Revenue, by End User (2017–2030)
Chapter 17. Italy Market
17.1. Overview
17.2. Market Revenue, by Type (2017–2030)
17.3. Market Revenue, by Software (2017–2030)
17.4. Market Revenue, by Pricing Model (2017–2030)
17.5. Market Revenue, by Deployment (2017–2030)
17.6. Market Revenue, by Database (2017–2030)
17.7. Market Revenue, by Functionality (2017–2030)
17.8. Market Revenue, by End User (2017–2030)
Chapter 18. Spain Market
18.1. Overview
18.2. Market Revenue, by Type (2017–2030)
18.3. Market Revenue, by Software (2017–2030)
18.4. Market Revenue, by Pricing Model (2017–2030)
18.5. Market Revenue, by Deployment (2017–2030)
18.6. Market Revenue, by Database (2017–2030)
18.7. Market Revenue, by Functionality (2017–2030)
18.8. Market Revenue, by End User (2017–2030)
Chapter 19. Japan Market
19.1. Overview
19.2. Market Revenue, by Type (2017–2030)
19.3. Market Revenue, by Software (2017–2030)
19.4. Market Revenue, by Pricing Model (2017–2030)
19.5. Market Revenue, by Deployment (2017–2030)
19.6. Market Revenue, by Database (2017–2030)
19.7. Market Revenue, by Functionality (2017–2030)
19.8. Market Revenue, by End User (2017–2030)
Chapter 20. China Market
20.1. Overview
20.2. Market Revenue, by Type (2017–2030)
20.3. Market Revenue, by Software (2017–2030)
20.4. Market Revenue, by Pricing Model (2017–2030)
20.5. Market Revenue, by Deployment (2017–2030)
20.6. Market Revenue, by Database (2017–2030)
20.7. Market Revenue, by Functionality (2017–2030)
20.8. Market Revenue, by End User (2017–2030)
Chapter 21. India Market
21.1. Overview
21.2. Market Revenue, by Type (2017–2030)
21.3. Market Revenue, by Software (2017–2030)
21.4. Market Revenue, by Pricing Model (2017–2030)
21.5. Market Revenue, by Deployment (2017–2030)
21.6. Market Revenue, by Database (2017–2030)
21.7. Market Revenue, by Functionality (2017–2030)
21.8. Market Revenue, by End User (2017–2030)
Chapter 22. Australia Market
22.1. Overview
22.2. Market Revenue, by Type (2017–2030)
22.3. Market Revenue, by Software (2017–2030)
22.4. Market Revenue, by Pricing Model (2017–2030)
22.5. Market Revenue, by Deployment (2017–2030)
22.6. Market Revenue, by Database (2017–2030)
22.7. Market Revenue, by Functionality (2017–2030)
22.8. Market Revenue, by End User (2017–2030)
Chapter 23. South Korea Market
23.1. Overview
23.2. Market Revenue, by Type (2017–2030)
23.3. Market Revenue, by Software (2017–2030)
23.4. Market Revenue, by Pricing Model (2017–2030)
23.5. Market Revenue, by Deployment (2017–2030)
23.6. Market Revenue, by Database (2017–2030)
23.7. Market Revenue, by Functionality (2017–2030)
23.8. Market Revenue, by End User (2017–2030)
Chapter 24. Brazil Market
24.1. Overview
24.2. Market Revenue, by Type (2017–2030)
24.3. Market Revenue, by Software (2017–2030)
24.4. Market Revenue, by Pricing Model (2017–2030)
24.5. Market Revenue, by Deployment (2017–2030)
24.6. Market Revenue, by Database (2017–2030)
24.7. Market Revenue, by Functionality (2017–2030)
24.8. Market Revenue, by End User (2017–2030)
Chapter 25. Mexico Market
25.1. Overview
25.2. Market Revenue, by Type (2017–2030)
25.3. Market Revenue, by Software (2017–2030)
25.4. Market Revenue, by Pricing Model (2017–2030)
25.5. Market Revenue, by Deployment (2017–2030)
25.6. Market Revenue, by Database (2017–2030)
25.7. Market Revenue, by Functionality (2017–2030)
25.8. Market Revenue, by End User (2017–2030)
Chapter 26. Saudi Arabia Market
26.1. Overview
26.2. Market Revenue, by Type (2017–2030)
26.3. Market Revenue, by Software (2017–2030)
26.4. Market Revenue, by Pricing Model (2017–2030)
26.5. Market Revenue, by Deployment (2017–2030)
26.6. Market Revenue, by Database (2017–2030)
26.7. Market Revenue, by Functionality (2017–2030)
26.8. Market Revenue, by End User (2017–2030)
Chapter 27. South Africa Market
27.1. Overview
27.2. Market Revenue, by Type (2017–2030)
27.3. Market Revenue, by Software (2017–2030)
27.4. Market Revenue, by Pricing Model (2017–2030)
27.5. Market Revenue, by Deployment (2017–2030)
27.6. Market Revenue, by Database (2017–2030)
27.7. Market Revenue, by Functionality (2017–2030)
27.8. Market Revenue, by End User (2017–2030)
Chapter 28. U.A.E. Market
28.1. Overview
28.2. Market Revenue, by Type (2017–2030)
28.3. Market Revenue, by Software (2017–2030)
28.4. Market Revenue, by Pricing Model (2017–2030)
28.5. Market Revenue, by Deployment (2017–2030)
28.6. Market Revenue, by Database (2017–2030)
28.7. Market Revenue, by Functionality (2017–2030)
28.8. Market Revenue, by End User (2017–2030)
Chapter 29. Competitive Landscape
29.1. List of Market Players and their Offerings
29.2. Competitive Benchmarking of Key Players
29.3. Product Benchmarking of Key Players
29.4. Recent Strategic Developments
Chapter 30. Company Profiles
30.1. IQVIA Inc
30.1.1. Business overview
30.1.2. Product and service offerings
30.1.3. Key financial summary
30.2. IBM Corporation
30.2.1. Business overview
30.2.2. Product and service offerings
30.2.3. Key financial summary
30.3. Optum Inc.
30.3.1. Business overview
30.3.2. Product and service offerings
30.3.3. Key financial summary
30.4. Phlexglobal Ltd.
30.4.1. Business overview
30.4.2. Product and service offerings
30.4.3. Key financial summary
30.5. Mckesson Corporation
30.5.1. Business overview
30.5.2. Product and service offerings
30.5.3. Key financial summary
30.6. FIGMD Inc.
30.6.1. Business overview
30.6.2. Product and service offerings
30.6.3. Key financial summary
30.7. Elekta
30.7.1. Business overview
30.7.2. Product and service offerings
30.7.3. Key financial summary
30.8. Conduent Inc.
30.8.1. Business overview
30.8.2. Product and service offerings
30.8.3. Key financial summary
30.9. Evado Clinical
30.9.1. Business overview
30.9.2. Product and service offerings
30.9.3. Key financial summary
Chapter 31. Appendix
31.1. Abbreviations
31.2. Sources and References
31.3. Related Reports
| ※参考情報 患者登録ソフトウェアは、医療機関や研究機関において、患者の情報を収集、管理、分析するためのシステムです。このソフトウェアは、患者の個人情報や病歴、治療内容、経過観察結果などをデジタル化し、効率的に運用できるようにします。 このソフトウェアの主な種類には、電子カルテシステム(EHR)、患者管理システム、臨床試験管理システムなどがあります。電子カルテシステムは、患者の診療情報を一元化し、診療の質を向上させることを目的としています。患者管理システムは、患者の予約やフォローアップ、診察スケジュールなどを管理し、患者とのコミュニケーションを円滑に進められるようにします。臨床試験管理システムは、治験に参加する患者の情報を管理し、試験の進捗状況やデータ収集を支援します。 患者登録ソフトウェアの用途は非常に幅広く、医療機関においては、患者の受付から診療、退院後のフォローアップまでの全プロセスをサポートします。また、患者の情報の整理と分析を行うことで、医療の質を向上させ、効率的な治療につなげる役割も果たします。さらに、研究機関では、臨床研究や疫学研究のために患者データを収集・解析する際にも重要な役割を果たします。 患者登録ソフトウェアの重要な機能としては、データ入力・更新機能、検索機能、レポート作成機能、データセキュリティ機能などがあります。データ入力・更新機能は、患者の個人情報や診療情報を迅速に登録できるようにします。また、検索機能を用いることで、必要な患者情報を瞬時に取り出すことができ、医療従事者の負担を軽減します。レポート作成機能は、患者の経過を示す資料を自動生成し、治療方針の決定や関係者への報告をサポートします。データセキュリティ機能に関しては、患者のプライバシーを守るために厳重な管理が求められ、アクセス権限の設定やデータ暗号化などの対策が施されています。 関連技術としては、クラウドコンピューティングやビッグデータ解析、人工知能(AI)、医療情報標準(HL7やFHIRなど)などがあります。クラウドコンピューティングを利用することで、患者情報を安全に保存し、どこからでもアクセスできるようになります。また、ビッグデータ解析により、大量の患者データから傾向を見出し、より精度の高い医療提供が可能となります。AIは、患者のデータをもとに病気の予測や治療法の提案を行うことが期待されており、医療業界の発展に寄与しています。医療情報標準に従うことで、異なるシステム間での情報交換が円滑になり、医療の質が向上します。 さらに、患者登録ソフトウェアは、患者中心の医療を実現する上でも重要な役割を果たします。患者自身が自分の健康情報を管理しやすくすることで、自己管理能力が向上し、治療の継続性が促進されます。また、患者と医療従事者間のコミュニケーションが活発になり、患者の希望や意見を反映した医療を提供することが可能となります。 今後、患者登録ソフトウェアは進化し続け、より多くの機能が追加されたり、他の医療システムと連携することが期待されています。特に、テレメディスンや遠隔診療の普及により、患者の情報の管理や提供方法が大きく変わる可能性があります。 このように、患者登録ソフトウェアは医療のデジタル化が進む中で、重要な役割を果たしていると言えます。患者のケアを向上させ、効率的な医療サービスを提供するためには、これらのソフトウェアの導入や活用が欠かせません。医療の質を向上させるために、患者登録ソフトウェアの進化と普及が期待されるところです。 |
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