— name: oral-health-analyzer description: Analyzes oral-health data, identifies oral-problem patterns, evaluates oral-health status, and gives personalized oral-health advice. Supports correlation analysis with nutrition, chronic-disease, and medication data. risk: safe source: community — name: oral-health-analyzer # Oral-health analysis skill ## When to Use – When you need to analyze oral-health trends, caries risk, periodontal problems, or hygiene habits. – The task involves oral-health scoring, problem-pattern identification, or personalized oral-care advice. – The user requests an oral-health report or analysis of long-term oral records. ## Overview This skill provides comprehensive oral-health data analysis: trend identification, risk assessment, problem diagnosis, and personalized-advice generation. ## Medical disclaimer **Important:** the data analysis and advice this skill provides are for reference only and do not constitute medical diagnosis or treatment advice. – All oral problems should be diagnosed and treated by a professional dentist. – Analysis results cannot replace a professional oral examination. – In emergencies, seek care immediately. – Follow your dentist's professional advice. ## Core features ### 1. Trend analysis #### Caries-development trend – Identify the pattern and frequency of caries onset – Analyze caries distribution across tooth positions – Assess the speed of caries development – Predict future caries risk **Output:** caries-count curve, high-risk tooth-position identification, development-trend prediction, prevention advice. #### Periodontal-health change – Bleeding-frequency statistics, pocket-depth change, attachment-loss monitoring, gingival-recession progression. **Output:** periodontal-health score trend, disease-progression early warning, treatment-effect evaluation, maintenance advice. #### Hygiene-habit improvement – Brushing-frequency change, floss-use-frequency change, cleaning-record tracking, hygiene-habit score. **Output:** habit-improvement curve, score-change trend, goal-attainment status, motivation advice. ### 2. Risk assessment #### Caries-risk assessment Comprehensive assessment based on: dietary habits (sugar intake), oral-hygiene habits, fluoride use, salivary flow, prior caries history, family history. **Risk levels:** Low (good hygiene + low-sugar diet + regular checkups) · Medium (moderate sugar + average hygiene) · High (high-sugar diet + poor hygiene + irregular checkups + caries history). **Output:** risk level (low/medium/high), main risk factors, quantified risk score, risk-reduction advice. #### Periodontal-disease risk assessment Based on: gingival-bleeding frequency, pocket depth, degree of attachment loss, smoking status, diabetes control, stress level, family history. **Risk levels:** Healthy (no bleeding, probing depth 1-3 mm) · Gingivitis (bleeding on probing, depth 3-4 mm) · Mild periodontitis (depth 4-5 mm, mild attachment loss) · Moderate periodontitis (depth 5-6 mm, moderate attachment loss) · Severe periodontitis (depth >6 mm, severe attachment loss). **Output:** disease stage, risk-factor list, progression-risk prediction, management advice. #### Oral-cancer risk assessment Based on: smoking history, alcohol habits, betel-nut chewing, HPV infection, sun exposure (lip cancer), nutritional status, oral hygiene. **Risk levels:** Low (no risk factors) · Medium (1-2 risk factors) · High (3+ risk factors or prior lesion). **Output:** risk level, main risk factors, screening advice, prevention strategy. ### 3. Correlation analysis #### With the nutrition module **Sugar intake and caries risk:** analyze daily sugar intake, assess the effect of eating frequency on caries, identify high-sugar food types, recommend low-sugar alternatives. **Calcium and vitamin D and tooth health:** assess whether calcium intake is adequate, analyze vitamin-D level, assess effect on tooth strength, recommend supplements (if needed). **Oral signs of nutritional deficiency:** vitamin C deficiency -> gingival bleeding; B-vitamin deficiency -> mouth ulcers; iron deficiency -> tongue inflammation; protein deficiency -> mucosal atrophy. #### With the chronic-disease module **Diabetes and periodontal disease:** analyze the relationship between glucose control and periodontal health, assess complication risk, explain how periodontal disease affects glucose, joint-management advice. **Cardiovascular disease and periodontal disease:** analyze the effect of periodontitis on CVD, assess inflammation-marker links, preventive-treatment advice, joint-monitoring advice. **Oral health in pregnancy:** pregnancy-gingivitis risk assessment, dental-treatment-timing advice, drug-safety assessment, pregnancy oral-care guidance. **Osteoporosis and tooth health:** assess the effect of bone density on teeth, analyze side effects of anti-resorptive drugs, tooth-protection advice. #### With the medication module **Drug-induced dry mouth:** identify drugs causing dry mouth, assess severity, relief advice, communicate medication adjustment with the doctor. **Drug-induced gingival overgrowth:** identify causative drugs, assess degree, management advice, discuss alternatives with the doctor. **Drug effects on tooth color:** identify drugs causing discoloration, cosmetic solutions, prevention advice. #### With the eye-health module **Sjogren's syndrome:** joint analysis of dry mouth and dry eye, assess systemic autoimmune disease, multi-system symptom tracking, specialist-referral advice. **Oral signs of autoimmune disease:** oral lesions in lupus, TMJ involvement in rheumatoid arthritis, oral signs of other immune diseases. ### 4. Personalized advice #### Prevention advice **Caries prevention:** brushing-technique guidance (Bass method), floss-use method, fluoride-product recommendations, dietary adjustment, regular-checkup reminders. **Periodontal-disease prevention:** improve hygiene habits, smoking-cessation support, stress management, glucose control (for diabetics), regular-cleaning advice. **Oral-cancer prevention:** quit smoking / limit alcohol, avoid betel nut, sun protection (lips), balanced nutrition, regular self-exam method. #### Treatment advice **By problem type:** routine-checkup advice (every 6 months), emergency-handling guidance, specialist-referral advice (if needed), treatment-timing advice, cost-estimate reference. #### Lifestyle advice **Dietary adjustment:** reduce free-sugar intake, increase calcium and vitamin D, drink more water (prevent dry mouth), avoid very hard foods (protect crowns). **Habit improvement:** personalized brushing plan, gradually increase floss use, build an oral-hygiene routine, set up a reminder system. **Risk-factor management:** smoking-cessation strategy, alcohol-limit advice, stress-management techniques, bruxism management. ### 5. Goal management #### Goal setting – Negotiate realistic goals with the user, break into achievable steps, set time points, establish evaluation criteria. **Common goal types:** raise floss-use frequency, improve brushing technique, reduce sugar intake, regular oral checkups, quit smoking. #### Progress tracking – Periodically assess goal attainment, provide motivation and feedback, adjust goals (if needed), celebrate milestones. #### Obstacle identification – Identify factors blocking goals, provide strategies to overcome them, adjust the plan to fit reality, provide ongoing support. ### 6. Statistical analysis #### Composite health score Computed from: oral-hygiene habits (40%), checkup frequency (20%), treatment completion (20%), problem control (10%), goal attainment (10%). **Range:** 0-100. Excellent 90-100 · Good 75-89 · Fair 60-74 · Poor <60. #### Oral-health age – Computed from tooth status, periodontal health, hygiene habits; compared to actual age; with improvement advice. #### Treatment statistics – Treatment-type distribution, treatment-cost statistics, treatment-frequency analysis, dentist-visit records. #### Problem statistics – Problem-type distribution, problem frequency, problem duration, resolution-rate statistics. ### 7. Alert system #### Regular-checkup reminders – 30 days to next checkup: gentle reminder · 7 days: urgent reminder · overdue: overdue reminder. #### Problem alerts – Toothache >3 days: see a dentist · gingival bleeding for 1 week: get checked · mouth ulcer >2 weeks: biopsy advised · new lump / white patch: seek care immediately. #### Trend alerts – Rapid caries increase: risk escalation · worsening periodontal indicators: refer to periodontist · declining hygiene habits: intervention advice · rising treatment frequency: in-depth assessment. ## Use cases ### Case 1: Periodic health assessment **Request:** analyze the last 6 months of oral health. **Flow:** read all oral-health records of the last 6 months -> analyze checkup/treatment/problem records -> assess hygiene-habit change -> compute health-score change -> identify improving/worsening trends -> generate a composite report. **Output:** health-score trend, main improvements, issues to watch, next-step advice. ### Case 2: Diagnosis support **Request:** my gums bleed when brushing, for 1 week now. **Flow:** retrieve recent oral-exam records -> analyze periodontal history -> assess current hygiene -> check related medication records -> analyze nutrition data (e.g. vitamin C intake) -> generate a diagnosis-support report. **Output:** possible causes, severity assessment, care advice, home-care methods, prevention. ### Case 3: Treatment planning **Request:** I want to improve oral hygiene and lower caries risk. **Flow:** assess current caries risk -> analyze main risk factors -> assess current hygiene -> identify areas to improve -> set staged goals -> build a personalized plan. **Output:** current risk assessment, improvement goals, action plan, timeline, progress-tracking method. ### Case 4: Multidisciplinary joint analysis **Request:** I have diabetes; how does it affect my oral health? **Flow:** read diabetes-management data -> analyze glucose control -> assess periodontal status -> analyze the link -> assess complication risk -> generate joint-management advice. **Output:** effect of diabetes on the mouth, effect of oral health on glucose, complication-risk assessment, joint-management strategy, monitoring-indicator advice. ### Case 5: Preventive guidance **Request:** I'm planning to get pregnant; what oral issues should I watch? **Flow:** assess current oral health -> identify potential risks -> analyze current medication safety -> assess treatment urgency -> generate a pregnancy oral-management plan. **Output:** pre-pregnancy oral-checkup advice, common oral issues in pregnancy, drug-use safety, treatment-timing advice, pregnancy-care guidance. ## Data-analysis methods ### Quantitative – Descriptive statistics (mean, median, std), trend analysis (linear regression, moving average), correlation analysis (Pearson/Spearman), risk-score computation (multi-factor weighting). ### Qualitative – Free-text analysis, symptom-pattern recognition, chief-complaint classification, satisfaction assessment. ### Visualization – Time-series charts, tooth-position distribution maps, risk-assessment radar charts, progress dashboards, comparison bar charts. ## Quality assurance ### Data validation – Check completeness, verify consistency, identify outliers, handle missing data. ### Result validation – Medical-logic check, comparison with clinical guidelines, expert review (if available), user-feedback collection. ### Continuous improvement – Periodically update algorithms, incorporate new scientific evidence, optimize UX, expand functionality. ## Reference resources ### Clinical guidelines – American Dental Association (ADA) guidelines – World Health Organization (WHO) oral-health guidelines – Chinese Stomatological Association clinical guidelines – Cochrane Oral Health Group systematic reviews ### Assessment tools – DMFT index (decayed-missing-filled teeth) – CPI index (Community Periodontal Index) – Oral Health Impact Profile (OHIP-14) – Caries-risk Assessment Tool (CAT) ### Data sources – User-record data, nutrition-module data, chronic-disease-module data, medication-module data, eye-health-module data. ## Limitations ### System limits – Cannot replace a professional oral exam; cannot perform imaging; cannot perform lab tests; results depend on data quality. ### Data limits – Depends on record accuracy; records may be missing; subjective assessment has bias; the time span may be insufficient. ### Advice limits – Cannot account for every individual factor; cannot predict every complication; must be combined with clinical judgment; cannot guarantee 100% accuracy. ## Future extensions ### Planned features – AI image recognition (X-ray analysis), voice-record input, smart reminder system, community-support features, integration with dental systems. ### Research directions – Machine-learning prediction models, personalized prevention strategies, genetic-risk analysis, microbiome analysis. — name: oral-health-analyzer **Version**: v1.0.0 **Last updated**: 2025-01-06 **Maintainer**: WellAlly Tech ## Limitations – Use this skill only when the task clearly matches the scope described above. – Do not treat the output as a substitute for environment-specific validation, testing, or expert review. – Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.