Development and validation of a digital tool to aid in migraine diagnosis
By
Rachel Potter
Manjit Matharu
Gemma Pearce
Swati Raina
Kimberley Stewart
Martin Underwood
December 4, 2025
Clinical Scorecard: Development and validation of a digital tool to aid in migraine diagnosis
At a Glance
Category Detail
Condition Migraine Key Mechanisms Diagnosis based on patient history; potential use of AI and machine learning for classification. Target Population Individuals experiencing chronic headaches, particularly migraine. Care Setting Primary care and specialist headache clinics.
Key Highlights
Migraine affects 14-15% of the global population and accounts for significant disability. Only 30% of individuals presenting with headaches receive a formal migraine diagnosis. Development of an online tool to assist in migraine diagnosis and encourage formal consultations. High agreement (89%) between computerized diagnostic tools and reference diagnoses. Co-production methodology involved patients in the development of the diagnostic tool. Guideline-Based Recommendations
Diagnosis
Utilize patient history and validated questionnaires for migraine diagnosis. Encourage formal diagnosis from healthcare professionals. Management
Consider triptans and other specific migraine treatments for diagnosed patients. Monitoring & Follow-up
Regular follow-ups for patients diagnosed with migraine to assess treatment efficacy. Risks
Potential for misdiagnosis of serious secondary headaches if not properly evaluated. Patient & Prescribing Data
Individuals with chronic headaches, particularly those who may have undiagnosed migraine.
Inadequate use of migraine-specific medications among diagnosed individuals.
Clinical Best Practices
Implement online tools to facilitate early diagnosis of migraine. Train healthcare providers to use diagnostic tools effectively. Engage patients in the development of healthcare resources. Related Resources & Content
