Evidence-Based Practice (EBP) is a systematic approach to clinical decision-making that is based on the best available evidence, clinical experience, and patient preferences. This approach aims to integrate the most current and relevant research into clinical practice to improve the quality of healthcare and patient outcomes.
Artificial Intelligence (AI) in healthcare represents the use of algorithms and machine learning to analyze large volumes of data, which can improve diagnosis, treatment, and disease prognosis. AI has the potential to transform EBP by accelerating the process of translating scientific discoveries into clinical practice and making healthcare more personalized and efficient.
In the context of Bulgaria, improving the tracking of stroke patients is essential as the country has some of the highest stroke mortality rates in Europe. Statistics show that about 50 000 cases of stroke are registered annually in Bulgaria, with mortality significantly higher compared to other European countries.
To reduce the number of secondary strokes, it is necessary to improve work with risk groups through effective prevention programs. Comparison with global data shows that globally stroke remains the second leading cause of death and the third leading cause of death and disability, expressed in Disability-Adjusted Life Years (DALYs).
The following steps are necessary for the successful implementation of EBP+AI in the Bulgarian health system:
1. Assessment of the health system’s readiness to implement AI.
2. Development of strategies for training and developing the skills of health professionals to work with AI.
3. Creation of a regulatory framework that supports the integration of AI into clinical practice.
4. Pilot projects to test AI tools in real clinical environments.
5. Continuous monitoring and evaluation of the impact of AI on clinical outcomes and patient care.
The implementation of these steps may take several years, but with the right investments and commitment, Bulgaria can start implementing EBP+AI within the next 5 to 10 years. This could lead to a significant reduction in stroke cases, with an expected reduction in primary strokes by up to 20% and secondary strokes by up to 30%* over the next 10 to 15 years.
In conclusion, the integration of EBP and AI into the Bulgarian health system requires a strategic approach and commitment from all stakeholders. With the right steps and support, this can lead to significant improvements in healthcare and reduce the burden of stroke in the country."
* The assumptions for reducing primary and secondary strokes are prognostic, based on various studies that show that improved tracking and prevention can lead to a significant reduction in stroke cases:
- measures such as high blood pressure control, diabetes control, quitting smoking, and maintaining a healthy lifestyle can reduce primary stroke cases by up to 20%;
- appropriate drug therapy and lifestyle changes can reduce secondary strokes by up to 30%.
Association for Stroke and Aphasia
2024
You can read more about the EBP+AI here: New evidence-based practice: Artificial intelligence as a barrier breaker - PMC (nih.gov)