In a global context where public health is a top priority, the World Health Organization (WHO) announces the launch in 2025 of the Digital Open Rule Integrated Cause of Death Selection (DORIS) tool. This digital tool aims to transform cause-of-death coding by facilitating the use of ICD-11 (International Classification of Diseases, 11th Revision) for health statistics reporting. DORIS: An Innovative Tool for Cause-of-Death Coding DORIS is designed to automate the selection of the underlying cause of death (UCOD) based on a set of digital coding rules. With this tool, countries can now improve the accuracy and consistency of death coding, a key aspect for optimized public health management. With version 1.1 of DORIS, significant improvements have been made, reflecting direct user feedback. Advanced features notably enhance specificity for pathologies such as infections, neoplasms, and trauma. These elements represent crucial advances for coders, examiners, and trainers. Key Features of DORIS 1.1 The new DORIS tool integrates several complementary visualization modes to effectively assist users. The main features are: Text Report : Provides a detailed description of rules and warnings at each step of the process. Tabular Report : Allows an interactive view of each rule applied in relation to the Medical Certificate of Cause of Death (MCCD). Rule Flow Report : Visualizes the logical path leading to the final selection of the underlying cause.Rule Sequence Report
: Displays the sequence of rules applied horizontally.
DORIS, as a medical technology tool , not only facilitates coding; it also plays a fundamental role in improving the quality of mortality data globally. Improving the Quality of Health Statistics
Thanks to the implementation of DORIS, countries can expect significant progress in the field of health statistics. Indeed, accurate coding of causes of death helps identify the most deadly diseases, thus facilitating decision-making for the development of public health policies. For example, in mortality status reporting, more reliable data leads to rapid adjustments in public health programs. Research shows that coding systems that integrate digital tools, such as DORIS, increase data reliability by approximately 20% to 30%. This has a direct impact on health resource planning, government decisions, and the strategic direction of public health institutions. CriteriaBefore DORIS After DORISCoding Accuracy 65%95%
Coding Time
Up to 30 minutes
- Less than 10 minutes Documented Error Rate
- 25% 5% Ultimately, this tool is becoming an essential link in the health data analysis chain, ensuring the sustainable development of health systems by ensuring a better understanding of epidemiological dynamics.Implementing ICD-11 with DORIS
- ICD-11 is the global standard for coding diseases and causes of death. With the integration of DORIS, the implementation of this classification becomes more accessible for countries around the world. DORIS users can thus benefit from simplified access and ongoing training on the use of ICD-11. This transition from ICD-10 to ICD-11 constitutes a major reform, as the latter offers better representation of modern diseases. , including more options for coding emerging diseases. It is therefore becoming crucial for monitoring global health goals. With this in mind, here are some key points:
- Modernization of classifications : ICD-11 incorporates advances that take into account recent epidemics and lifestyle changes.
Data accessibility : DORIS allows various healthcare stakeholders to access universal data in real time.Continuing education
: DORIS users benefit from regular updates on the latest developments in ICD-11.
Healthcare systems around the world must prepare to adopt these significant changes in 2025, which will have a direct impact on improving the quality of health data. It is therefore imperative that countries commit to this transition to establish best reporting practices. The Challenges of the Transition to ICD-11 The transition to ICD-11 presents numerous challenges for healthcare systems around the world. The main challenges are:Training and Awareness: It is crucial to train healthcare professionals on the new classifications and how DORIS works. Improving IT Infrastructure:
Countries must invest in systems capable of supporting the DORIS tool by integrating ICD-11 requirements. Data Interoperability: DORIS will be more effective if healthcare systems communicate with each other and data can be easily exchanged. These challenges are essential to ensure the successful implementation of DORIS and ICD-11.DORIS: Digital Technology for Sustainable Development
| The launch of DORIS is part of a broader approach to sustainable development within global healthcare systems. Optimizing coding and reporting processes | directly impacts healthcare resource management and budget allocation. | DORIS reduces administrative burdens for healthcare facilities, giving healthcare professionals more time to focus on patient care. This is part of a sustainable development framework where the efficiency of healthcare services is paramount. Here’s how the tool contributes to this approach: |
|---|---|---|
| Reduces human error | : By automating coding, DORIS reduces the risk of errors in critical data entry. | Optimizes resources |
| : Facilities can direct resources toward care, rather than burdensome administrative tasks. | Promotes equitable health | : Better monitoring of mortality data allows priority public health issues to be addressed effectively. Aspect |
| Before DORIS | With DORIS | Administrative costs |
High
Reduced by 40%
Resource efficiency Limited Optimized Coder satisfaction rateLess than 60%
More than 90% Beyond death coding, DORIS embodies an aspiration for a radical transformation of health systems, redefining traditional approaches and integrating innovation into all facets of health management.A promising future for global health with DORIS
- The launch of DORIS in 2025 symbolizes a significant step towards more optimized global health. Countries are now encouraged to prepare for this decisive tool that simplifies administrative processes while improving the quality of data collected. Ultimately, this is a step forward towards a world where health data is transparent, accessible, and optimally used for the well-being of all.
