Dose Management Systems : From Setting up to Quality Assurance.

Format:

Book

Author/Creator:

IAEA.

Series:

IAEA Human Health Series No Series

IAEA Human Health Series No Series ; v.49

Language:

English

Physical Description:

1 online resource (160 pages)

Edition:

1st ed.

Place of Publication:

Vienna : International Atomic Energy Agency, 2025.

Summary:

This publication provides comprehensive guidance on dose management systems (DMS), an essential tool for advancing quality assurance, patient safety and optimization in medical imaging. DMS technology has become integral to modern clinical practice, enabling the collection, monitoring and evaluation of patient dose metrics and technical data from both ionizing and non-ionizing imaging modalities. Beyond dose tracking, these systems facilitate the optimization of imaging protocols, enhance quality management programmes and support regulatory compliance, which make them indispensable for improving diagnostic accuracy and patient care. This publication is targeted at health professionals, including clinically qualified medical physicists, medical radiation technologists, radiologists, nuclear medicine physicians and health managers.

Contents:

Intro

1. INTRODUCTION

1.1. Background

1.2. Objective

1.3. Scope

1.4. Structure

2. ROLES AND RESPONSIBILITIES

2.1. introduction

2.2. Administrative and technical support

2.3. User groups

2.4. dms committee

3. BASIC CONCEPTS

3.1. Dosimetric quantities

3.2. Dose metrics in A DMS

3.3. DIAGNOSTIC Reference Levels

3.4. Information systems

3.5. Clinical workflow

4. DMS TECHNOLOGY

4.1. Components of a DMS

4.2. Basic functionalities

4.3. Advanced functionalities

5. SETTING UP a DMS

5.1. Initial installation

5.2. Data categorization

5.3. review of protocols

5.4. Setting DIAGNOSTIC REFERENCE LEVEL values in the DMS

5.5. Setting alerts and trigger levels

5.6. Setting up dosimetric correction factors

6. DMS TECHNICAL SPECIFICATIONS

6.1. General requirements

6.2. Data connection and transfer requirements

6.3. Patient data

6.4 Statistical analysis and export capabilities

6.5. Customization

6.6. Implementation process

7. QUALITY ASSURANCE

7.1. Introduction

7.2. Acceptance testing

7.3. commissioning and user Setup

7.4. routine QUALITY CONTROL

8. USE CASE SCENARIOS

8.1. Case 1: Average Glandular Dose in mammography

8.2. Case 2: Monthly MEAN AVERAGE GLANDULAR DOSE distribution

8.3. Case 3: Weekly average of compression force

8.4. Case 4: Median doses in interventional cardiology

8.5. Case 5: Run chart for monitoring ka,r in fluoroscopically guided interventional procedures

8.6. Case 6: Computed Tomography activity dashboards

8.7. Case 7: Computed Tomography Median dose metrics

8.8. Case 8: Scatter plots for Computed Tomography dose monitoring

8.9. Case 9: Computed Tomography protocol optimization

8.10. Case 10: Computed tomography dose metrics summary reports

8.11. Case 11: Equipment utilization analysis.

8.12. Case 12: Study level metrics and multiple orders in Computed Tomography

8.13. Case 13: interpretation of Computed Tomography irradiation events

8.14. Case 14: MAGNETIC RESONANCE IMAGING patient data analysis

8.15. Case 15: Specific absorption rate analysis

8.16. Case 16: Automated mammography QUALITY CONTROL monitoring

8.17. Case 17: Adapting diagnostic reference levels for dose optimization in breast screening

9. FUTURE PROSPECTS

9.1. Quality of data

9.2. Personalized organ dose and risk assessment

9.3. Big data

9.4. Quality management and DMS

9.5. Artificial intelligence and DMS

9.6. industry 4.0 and DMS

10. CONCLUSIONS

Appendix I SURVEY RESULTS

Appendix II LIST OF DMS DEVELOPERS

REFERENCES

ABBREVIATIONS

CONTRIBUTORS TO DRAFTING AND REVIEW.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

92-0-108825-6