🎯 Key Takeaways
- ✅ Email data 24-48 hours before appointment - gives doctor time to review and prepare specific recommendations
- ✅ Focus on key metrics: TIR%, average glucose, CV% - not overwhelming raw data dumps
- ✅ Highlight patterns and concerns, not just numbers - context helps doctors make better treatment decisions
- ✅ Bring 2-3 specific questions based on your data - makes consultations more productive
- ✅ Use visual summaries (charts, graphs) - easier for doctors to spot trends quickly in limited appointment time
You're tracking your glucose with CGM, monitoring sleep with Google Fit, and logging activity with Strava - but when you show up to your doctor's appointment with 1,000 data points on your phone, you get a blank stare.
The problem isn't your data - it's how you're presenting it. Most doctors have 10-15 minutes per patient and can't digest weeks of raw CGM readings, sleep logs, and activity charts in real-time. They need summarized, actionable information that helps them make treatment decisions quickly.
In this practical guide, you'll learn exactly how to prepare your health data for medical consultations, which metrics matter most to doctors, how to format reports they can actually use, and how to ask questions that lead to better care. Whether you're seeing an endocrinologist, primary care physician, or diabetes educator, these strategies will help you get the most out of your appointments.
💡 Skip the formatting work: My Health Gheware™ automatically generates doctor-ready PDF reports and sends them via email - no manual prep needed.
📋 In This Guide:
🩺 What Health Data to Share with Your Doctor
Not all data is equally useful for medical consultations. Focus on metrics that inform treatment decisions:
1. Glucose Metrics (Most Critical)
Core Glucose Metrics to Share:
- Time in Range (TIR) - Percentage of time glucose is 70-180 mg/dL (target: >70%)
- Average Glucose - Mean glucose over 2-4 weeks (correlates with HbA1c)
- Glycemic Variability (CV%) - Consistency of glucose levels (target: <36%)
- Time Below Range - Hypoglycemia risk indicator (target: <4% below 70 mg/dL)
- Time Above Range - Hyperglycemia exposure (target: <25% above 180 mg/dL)
Why these metrics matter: Your doctor uses TIR and CV% to assess diabetes control more accurately than HbA1c alone. HbA1c shows average glucose over 3 months but misses dangerous swings. A patient with HbA1c 7.0% could have stable glucose OR wild fluctuations between 50-250 mg/dL daily.
2. Sleep Data
Share sleep metrics if you're tracking with Google Fit, Apple Health, or wearables:
- Average sleep duration - Hours per night over 2-4 weeks
- Sleep quality score - Deep sleep, REM sleep percentages (if available)
- Sleep-glucose correlation - Do you see higher glucose on nights you sleep <6 hours?
- Sleep consistency - Do you maintain regular sleep/wake times?
Why it matters: Poor sleep (especially <6 hours) increases insulin resistance by 20-30%. If your doctor sees a pattern of high morning glucose after short sleep nights, they may recommend sleep interventions before increasing medication doses.
3. Physical Activity
- Weekly exercise frequency - How many days per week are you active?
- Types of activities - Walking, running, strength training, yoga, etc.
- Activity duration - Average minutes per session
- Activity-glucose impact - Do you see glucose drops during/after exercise? Delayed hypos 6-12 hours later?
Example to share: "I'm walking 30 minutes 5x/week. My glucose drops 40-60 mg/dL during walks and sometimes goes below 70 mg/dL 2-3 hours later. Should I reduce my pre-walk insulin dose?"
4. Nutrition Patterns
You don't need a detailed food diary, but patterns are helpful:
- Meal timing consistency - Regular meal schedule or erratic?
- Carb intake trends - High-carb breakfast vs low-carb? Consistent carb counting?
- Foods that spike glucose - "White rice raises my glucose to 220 mg/dL but brown rice only to 160 mg/dL"
- Alcohol consumption - Frequency and impact on glucose (delayed hypos common with alcohol)
5. Medication Adherence
Be honest about medication compliance:
- Doses taken vs prescribed - "I take 10 units before dinner 5 out of 7 days"
- Timing consistency - Do you take insulin at the same time daily?
- Missed doses - When and why (forgot, ran out, side effects)?
- Side effects - Nausea, hypoglycemia, weight gain affecting adherence?
6. Symptoms & Quality of Life
- Hypoglycemia episodes - Frequency, severity (did you need glucagon? help from others?)
- Hyperglycemia symptoms - Frequent urination, excessive thirst, fatigue
- Energy levels - Do glucose swings affect your work, exercise, mood?
- Diabetes distress - Feeling overwhelmed, burnt out on diabetes management?
Pro tip: Summarize 2-4 weeks of data, not 6 months. Recent trends are more actionable than long-term averages when adjusting treatment.
📊 How to Format Reports for Doctors
Doctors can't parse 10 pages of raw CGM data in a 15-minute appointment. Here's how to format reports they can actually use:
The 1-Page Summary Rule
Goal: Fit your data summary on 1-2 pages maximum. Include:
✅ Ideal Report Structure:
- Patient info header - Name, date range, HbA1c if available
- Key metrics upfront - TIR %, average glucose, CV% in large text
- Visual glucose chart - AGP (Ambulatory Glucose Profile) or 14-day overlay
- Secondary metrics table - Time below/above range, hypoglycemia episodes
- Patterns & concerns - 2-3 bullet points: "Post-lunch spikes to 200+", "Overnight lows 3x/week"
- Your questions - 2-3 specific data-driven questions
Use Visual Summaries, Not Raw Data
❌ Don't do this: Hand your doctor 50 pages of timestamped CGM readings
✅ Do this: Show a 14-day glucose overlay chart (all days overlaid on 00:00-23:59 axis) so they can spot patterns:
- Dawn phenomenon - Glucose rising 3am-7am (insulin resistance surge)
- Post-meal spikes - Sharp rises after breakfast/lunch/dinner
- Overnight lows - Hypoglycemia during sleep (dangerous)
- Exercise impact - Glucose drops during/after activity
| Metric | Your Value | Target Range | Status |
|---|---|---|---|
| Time in Range | 68% | >70% | ⚠️ Close to target |
| Average Glucose | 154 mg/dL | 70-154 mg/dL | ✅ On target |
| CV% (Variability) | 42% | <36% | ❌ Too variable |
| Time Below 70 | 2% | <4% | ✅ Safe |
| Time Above 180 | 30% | <25% | ⚠️ Slightly high |
Example summary text to include:
"My TIR is 68% (target >70%). Main issue: post-lunch glucose spikes to 200+ mg/dL on 9 out of 14 days. Morning glucose is well-controlled (80-110 range). No overnight lows. Questions: Should I increase lunchtime insulin? Try lower-carb lunch options? Consider postprandial walk?"
Context is Critical
Always provide time period context:
- Date range: "Data from Oct 28 - Nov 10, 2025 (14 days)"
- Life context: "Normal routine week - no travel, illness, or major stress"
- Recent changes: "Started walking 30min after dinner on Nov 1"
📧 Email Templates for Sending Data
Emailing data 24-48 hours before your appointment gives your doctor time to review and prepare specific recommendations.
Template 1: Routine Follow-Up Appointment
Subject: Glucose Data for Nov 15 Appointment - [Your Name]
Hi Dr. [Last Name],
I have my follow-up appointment on Nov 15 at 2pm. I'm attaching my glucose data from the past 14 days (Nov 1-14).
Quick summary:
- Time in Range: 68% (previous: 62%)
- Average glucose: 154 mg/dL
- Main concern: Post-lunch spikes to 200+ mg/dL
Questions I'd like to discuss:
- Should we adjust my lunchtime insulin dose?
- Would a postprandial walk help flatten these spikes?
PDF report attached. See you Thursday!
Best,
[Your Name]
Template 2: Urgent Pattern Requiring Review
Subject: URGENT: Recurring Overnight Lows - Need Guidance
Hi Dr. [Last Name],
I'm experiencing frequent overnight hypoglycemia and wanted to share my data before our scheduled appointment next week.
Pattern: Glucose dropping below 60 mg/dL between 2am-4am on 5 out of past 7 nights. I'm waking up with symptoms (sweating, rapid heartbeat).
What I've tried:
- Reduced dinner insulin by 2 units (minimal improvement)
- Added small bedtime snack with protein (still dropping low)
Request: Should I reduce basal insulin dose or make other changes while I wait for my appointment? Attached PDF with full data.
Thank you,
[Your Name]
[Phone number for urgent callback]
Template 3: First Time Sharing CGM Data
Subject: CGM Data for Review - First Time Sender
Hi Dr. [Last Name],
I recently started using a CGM (continuous glucose monitor) and wanted to share my first 14 days of data with you before our appointment.
I've attached a PDF summary with:
- Time in Range: 65%
- Average glucose: 162 mg/dL
- Pattern I noticed: Sharp spikes after breakfast (white bread/juice)
This is my first time sharing CGM data - please let me know if you'd prefer a different format or additional information.
Looking forward to discussing at our Nov 20 appointment.
Thanks,
[Your Name]
Email Best Practices
- PDF format preferred - More professional than screenshots or CSV files
- Keep email under 200 words - Summary only, details in PDF
- Include specific questions - Makes doctor's review more focused
- Confirm doctor's preferred email - Some use secure patient portals instead
- Send 24-48 hours before appointment - Not day-of (doctor won't have time to review)
💬 In-Appointment Communication Strategies
Even with emailed data, you need an in-person strategy to maximize your 10-15 minute appointment time.
Start with Your Top Concern (30-Second Opener)
❌ Don't say: "My glucose has been all over the place and I don't know what's happening."
✅ Do say: "My main concern is post-lunch spikes to 200+ mg/dL. My TIR is 68% but could be 75%+ if we fix lunch. I'd like to discuss insulin timing or dose adjustment."
Why it works: You've stated the problem, the impact (TIR), the goal, and the solution category (insulin) in 15 seconds. Your doctor can now focus discussion on insulin strategy.
Bring Your Data Physically (Even If Emailed)
- Print 2 copies - One for doctor, one for you to reference during discussion
- Highlight key patterns - Use yellow highlighter on glucose spikes or lows
- Sticky notes for questions - Mark sections you want to discuss
Reason: Not all doctors check email before appointments. Having physical copies ensures discussion happens even if email wasn't reviewed.
Use the "Data + Question" Framework
For each concern, pair data with a specific question:
| Data Observation | Specific Question |
|---|---|
| "Post-lunch glucose spikes to 200+ on 9/14 days" | "Should I increase my rapid insulin by 2 units at lunch?" |
| "Overnight lows 3x/week between 2-4am" | "Should we reduce my basal insulin dose or add a bedtime snack?" |
| "Glucose drops 50 mg/dL during 30-min walks" | "How much should I reduce pre-walk insulin to prevent hypos?" |
| "Worse control on nights I sleep <6 hours" | "Is sleep intervention more important than medication changes right now?" |
Take Notes During the Appointment
Write down specific recommendations:
- Medication changes - "Increase lunchtime insulin from 8 to 10 units"
- Lifestyle adjustments - "15-min walk after lunch to flatten spike"
- Follow-up timeline - "Send updated data in 2 weeks to assess changes"
- Red flags to watch - "Call if glucose drops below 50 or stays above 300 for >4 hours"
Pro tip: Ask your doctor, "Can I record this conversation on my phone so I remember your recommendations?" Most will say yes.
Request Specific Next Steps
End the appointment with clarity on action items:
"Just to confirm: I'll increase lunch insulin to 10 units, add a 15-min walk after lunch, and send you updated data in 2 weeks. If my TIR improves to 75%+, we'll keep this plan. If not, we'll discuss adding a second medication. Does that sound right?"
This recap ensures you and your doctor agree on the treatment plan.
🔄 Follow-Up Protocols
Sharing data isn't a one-time event - it's an ongoing feedback loop.
When to Send Follow-Up Data
| Situation | Follow-Up Timing |
|---|---|
| Medication dose changed | Send data after 7-14 days to confirm improvement/side effects |
| New lifestyle intervention (exercise, diet change) | Send data after 3-4 weeks to show trend changes |
| Well-controlled diabetes, no changes | Send quarterly data 1 week before routine appointment |
| Struggling with control, frequent hypos | Send weekly updates until patterns stabilize |
| Dangerous patterns (severe lows, persistent >300) | Immediate - call/email same day, don't wait for appointment |
How to Track Treatment Changes
Keep a simple log of what changed when:
- Nov 1: Increased lunchtime insulin from 8 to 10 units
- Nov 5: Started 15-min post-lunch walk
- Nov 8: Switched from white bread to whole grain at breakfast
When you send follow-up data, include this timeline so your doctor can see which changes worked.
What to Include in Follow-Up Reports
- Before/After comparison - "TIR was 68%, now 74% after insulin increase"
- What worked - "Post-lunch walk flattened spikes from 200 to 160 mg/dL"
- What didn't work - "Still seeing overnight lows despite bedtime snack"
- New concerns - "Now experiencing afternoon fatigue around 3pm"
- Next question - "Should we make another adjustment or wait another 2 weeks?"
⚠️ Common Mistakes to Avoid
1. Overwhelming Your Doctor with Data
❌ Mistake: Bringing 6 months of CGM readings printed on 100 pages
✅ Fix: Show 2-4 weeks of recent data summarized on 1-2 pages. Mention long-term trends verbally ("My average glucose has improved from 180 to 154 over past 3 months")
2. Sharing Data Without Context
❌ Mistake: "Here's my glucose data" (hands doctor PDF with no explanation)
✅ Fix: "This is 14 days during normal routine. Main concern highlighted: post-dinner spikes. No illness or travel during this period."
3. Asking Vague Questions
❌ Mistake: "What do you think about my glucose?"
✅ Fix: "My TIR is 68%. Should we aim for 75%+ by adjusting mealtime insulin, or is 68% acceptable given my situation?"
4. Not Bringing Questions
❌ Mistake: Showing data and waiting for doctor to interpret everything
✅ Fix: Prepare 2-3 specific questions based on patterns you've noticed. Doctors appreciate patients who engage actively.
5. Ignoring Doctor's Data Preferences
❌ Mistake: Emailing data to a doctor who prefers patient portal uploads
✅ Fix: Ask at your first appointment: "What's your preferred way to receive CGM data? Email, portal upload, or physical printout?"
6. Sharing Data Day-Of Appointment
❌ Mistake: Emailing data the morning of your 2pm appointment
✅ Fix: Send 24-48 hours in advance so doctor has time to review before seeing you
7. Not Following Up After Treatment Changes
❌ Mistake: Doctor increases insulin dose, you wait 3 months for next appointment without any updates
✅ Fix: Send brief update after 1-2 weeks: "TIR improved from 68% to 74% after insulin increase. No hypos. Staying on this dose."
🤖 My Health Gheware's Email Report Feature
Manually formatting health data for doctors takes 30-60 minutes. My Health Gheware™ (MHG™) automates this entire process.
How MHG™ Report Generation Works
- Import your data - Upload CGM glucose data (LibreView CSV), sync Google Fit sleep/activity
- AI analyzes correlations - Claude AI finds sleep-glucose patterns, activity impacts, meal trends (10 minutes)
- Generate doctor report - Click "Email Report to Doctor" button
- Receive PDF via email - Professional 1-2 page summary with all key metrics, charts, and AI insights
- Forward to your doctor - Simply forward the email or download PDF to upload via patient portal
What's Included in MHG™ Reports
📄 MHG™ Doctor Report Contents:
- Glucose Metrics Summary: TIR %, average glucose, CV%, time below/above range
- Visual Charts: 14-day glucose overlay, TIR trend graph, daily patterns
- Sleep-Glucose Correlations: "Glucose control worsens by 12% on nights with <6hr sleep"
- Activity Impact Analysis: "30-min walks reduce post-meal glucose by avg 45 mg/dL"
- AI-Generated Insights: Patterns identified by Claude AI ("Post-lunch spikes occur on 9/14 days, avg peak 210 mg/dL")
- Time Period Context: Date range, number of days analyzed, data completeness percentage
- Recommendations Section: AI suggestions for insulin timing, meal adjustments, exercise timing
Pricing
Free tier: 500 free credits (each report generation costs 100 credits = 5 free reports)
Paid tier: ₹1,490/month for unlimited reports + priority email support
Benefits Over Manual Reporting
| Manual Reporting | MHG™ Automated Reports |
|---|---|
| 30-60 minutes to format data manually | ⚡ 10 minutes total (AI analysis + report generation) |
| Excel skills required for charts/tables | ✅ No technical skills needed - one-click generation |
| Miss correlation patterns (sleep-glucose, activity impact) | 🤖 AI automatically finds multi-data correlations |
| Inconsistent format each time | 📊 Professional, standardized format doctors recognize |
| Must manually email or print PDF | 📧 Report sent to your email - forward directly to doctor |
Example Use Case
Deepti, Type 2 Diabetes (45 years old, Bangalore)
"I used to spend an hour before every doctor appointment trying to summarize my glucose data in Excel. Half the time I'd miss important patterns. Now I just upload my LibreView CSV to MHG™, sync Google Fit, and get a professional report emailed to me in 10 minutes. My endocrinologist loves it because the report shows sleep-glucose correlations she wouldn't have spotted otherwise. We've improved my TIR from 58% to 74% in 3 months by adjusting insulin based on AI insights."
How to Get Started
- Sign up free: https://health.gheware.com (Google login, 30 seconds)
- Import glucose data: Upload LibreView CSV or manually enter readings
- Sync sleep/activity: Connect Google Fit account (optional but recommended for correlations)
- Generate report: Click "Email Report to Doctor" - receive PDF in 10 minutes
- Send to doctor: Forward email or upload PDF via patient portal
🚀 Ready to Simplify Doctor Data Sharing?
Generate professional, AI-powered health reports in 10 minutes - no manual formatting required
Start Free - 500 Credits Included →No credit card required • Google login only • 5 free reports
📝 Final Checklist: Doctor Data Sharing
Before your next appointment, make sure you've covered these bases:
- ☐ Summarized 2-4 weeks of recent data (not 6 months)
- ☐ Included key metrics upfront: TIR %, average glucose, CV%
- ☐ Created visual summaries (charts, not raw data dumps)
- ☐ Highlighted 2-3 main concerns with specific questions
- ☐ Emailed data 24-48 hours before appointment
- ☐ Printed 2 physical copies (one for doctor, one for you)
- ☐ Prepared to take notes during appointment
- ☐ Ready to request specific next steps at end of appointment
- ☐ Planned follow-up timeline for sending updated data
Remember: Effective data sharing transforms doctor appointments from "How are you feeling?" check-ins to data-driven treatment optimization sessions. Your doctor wants to help you achieve better glucose control - giving them the right data in the right format makes their job easier and your care better.
IIT Madras alumnus and founder of Gheware Technologies, with 25+ years spanning top investment banks (JPMorgan, Deutsche Bank, Morgan Stanley) and entrepreneurship. When both he and his wife were diagnosed with diabetes, Rajesh applied his decades of data analytics expertise to build My Health Gheware™—an AI platform that helped them understand and manage their condition through multi-data correlation. His mission: help people get rid of diabetes through personalized, data-driven insights. He also founded TradeGheware (portfolio analytics) to democratize investment insights for retail traders.
