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、医療機関における患者の情報を管理するためのシステムであり、さまざまな定義や種類、用途、関連する技術を持っています。このソフトウェアは、患者の基本情報や診療履歴、治療計画などを一元管理することで、医療の質を向上させることを目的としています。 患者登録ソフトウェアの主な機能には、患者の登録、情報の更新、診療の履歴管理、予約管理、請求管理などがあります。また、データのセキュリティやプライバシーの保護も重視されており、暗号化やアクセス権の設定などが導入されています。 種類としては、スタンドアロン型とクラウド型に分けられます。スタンドアロン型は、単一の端末で運用されるため、導入が比較的簡単ですが、複数の拠点での情報共有が難しいという欠点があります。一方、クラウド型は、インターネット経由で情報を管理できるため、複数の医療機関間での情報共有がスムーズに行えるという利点があります。このため、最近ではクラウド型のシステムが普及しつつあります。 患者登録ソフトウェアの用途は多岐にわたります。まず、患者の受付業務を効率化するために使用されます。診療所や病院において、患者が来院した際に、その詳細な情報を迅速に入力できることは、待ち時間の短縮につながります。次に、過去の診療履歴を容易に確認できることから、医師が治療方針を立てる際にも大きな助けとなります。また、患者へのフォローアップやリマインダーの送信、検査結果の通知など、患者とのコミュニケーションを強化する役割も果たします。 さらに、電子カルテとの連携が求められることが多いです。電子カルテは診療内容そのものを記録するものであり、患者登録ソフトウェアはその基礎となる情報を提供します。この二つのシステムが連携することで、データの一貫性が保たれ、医療の質が向上することが期待されます。 関連技術としては、データベース技術やセキュリティ技術、AI（人工知能）やビッグデータ分析があります。データベース技術は、患者情報を効率的に管理するために不可欠です。リレーショナルデータベースやNoSQLなど、さまざまな形式が利用されています。セキュリティ技術では、個人情報保護法に準拠するための暗号化や認証技術が重要です。また、AIを活用した分析機能により、過去のデータから患者の傾向を把握し、個別化された医療を提供することも可能になっています。 また、患者登録ソフトウェアは、他の医療関連システムと連携することで、より効果的に活用されます。たとえば、検査機器と自動連携することで、検査結果を自動的に患者情報に反映させることができます。これにより、ヒューマンエラーの減少や情報の一元化が実現され、医療スタッフの業務効率が向上します。 今後の展望としては、医療のデジタル化が進む中で、患者登録ソフトウェアの役割がさらに拡大することが考えられます。特に、遠隔医療の気運が高まる中で、患者の情報をリアルタイムで扱うニーズが増加しています。また、ビッグデータやAIの進展により、患者の予測診断や個別治療の実現が期待されています。このように、患者登録ソフトウェアは医療の未来を支える重要な要素であり、今後も発展が見込まれます。 まとめると、患者登録ソフトウェアは医療機関における情報管理の基盤であり、その種類や用途は非常に多様です。関連技術と融合することで、より効果的な医療サービスの提供が可能となることから、医療現場での重要性が増しています。