Data requirements of an informative, directive, and preventive mobile health application for gastric cancer
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By
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Vahideh Zolfaghari
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Hamid Moghaddasi
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Reza Rabiei
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Mitra Ahadi
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May 29, 2026
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Clinical Scorecard: Essential Data Needs for an Effective Mobile Health App Focused on Gastric Cancer Prevention and Guidance
At a Glance
| Category | Detail |
| Condition | |
| Key Mechanisms | |
| Target Population | General population without gastric cancer or severe gastrointestinal diseases, including those with common non-specific gastrointestinal symptoms. |
| Care Setting | |
Key Highlights
- Over one million new gastric cancer cases and approximately 769,000 deaths reported in 2020.
- Early diagnosis can increase the 5-year survival rate to as high as 90%.
- Rule-based chatbots provide transparency and control, essential for patient safety.
- The application assesses individual risk based on demographic and medical history.
Guideline-Based Recommendations
Diagnosis
- Histopathological examination for stage 0 gastric cancer diagnosis.
- Identification of precursor conditions based on medical guidelines.
Management
- Provide educational messages and preventive recommendations.
- Display warnings for high-risk individuals to consult a gastroenterologist.
Monitoring & Follow-up
- Continuous recording and monitoring of users' health status.
Risks
- Delayed care or unnecessary anxiety due to incorrect recommendations.
Patient & Prescribing Data
Individuals with common non-specific gastrointestinal symptoms.
Focus on primary prevention and timely specialist intervention.
Clinical Best Practices
- Utilize rule-based chatbots for transparency and explainability.
- Incorporate demographic and medical history for risk assessment.
- Provide personalized recommendations based on individual data.
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