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、医療機関において患者の情報を管理するためのシステムです。これにより、患者の基本情報、診療歴、検査結果、処方内容などを一元的に管理することができます。患者登録ソフトウェアは、医療の質を向上させるとともに、効率的な診療を促進する役割を担っています。 このソフトウェアの種類には、主に電子カルテ（EMR）システム、患者管理システム、クリニック管理システムなどがあります。電子カルテは、患者の診療記録やスケジュールをデジタルで管理し、医療スタッフが迅速に情報を共有できるようにします。患者管理システムは、患者の予約管理や処方内容の追跡を主な目的とし、患者とのコミュニケーションを円滑にするための機能を備えています。クリニック管理システムは、診療所やクリニック全体の運営をサポートし、医療業務を効率化するための総合的な機能を含んでいます。 患者登録ソフトウェアの用途は多岐にわたります。まず、患者情報の登録と管理が挙げられます。患者が初めて医療機関を訪れた際に、その情報を迅速に登録し、今後の診療に活用します。また、診療履歴やアレルギー情報、慢性疾患のデータなどを一元的に保存することで、医療従事者は適切な診療を行うための情報を容易に得ることができます。 次に、レポーティングやデータ分析の機能も重要です。患者登録ソフトウェアは、集積されたデータをもとに医療の質や患者の満足度を評価するためのレポートを生成します。不具合や改善点を分析することで、より良い医療サービスの提供につながります。 更に、患者とのコミュニケーション機能も充実していることが求められます。例えば、予約のリマインダーや検査結果の通知、健康管理に関する情報提供などを行うことで、患者の参加を促進します。これにより、患者自身が自分の健康管理に積極的に関与することが期待されます。 患者登録ソフトウェアは、関連技術として電子医療記録（EMR）、クラウドコンピューティング、ビッグデータ分析、そして人工知能（AI）などが挙げられます。EMRは、医療従事者が患者の記録にアクセスしやすくし、診療情報を迅速に共有するための基盤となる技術です。クラウドコンピューティングを利用することで、データの保存や管理が行いやすくなり、アクセス性が向上します。 ビッグデータ分析は、大規模な患者データを解析し、医療のトレンドや健康に関する洞察を得るために使用されます。これにより、医療機関はより戦略的な計画を立てることができます。人工知能は、患者の症状や過去の診療内容を解析し、診断支援や治療方針の提案を行う技術として注目されています。 最後に、患者登録ソフトウェアの導入と運用にあたっては、セキュリティとプライバシーの確保が非常に重要です。患者の個人情報を守るために、暗号化やアクセス制御、データバックアップといった対策が求められます。また、医療機関が遵守しなければならない法律や規制にも配慮する必要があります。 患者登録ソフトウェアは、現代の医療において不可欠な要素となっており、医療従事者と患者の双方にとって利益をもたらす重要なツールです。今後も技術の進歩に伴い、より効率的で安全な患者管理が実現されることが期待されます。これにより、医療の質がさらに向上し、患者の健康がより一層支援されることでしょう。

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