• Published on: Jul 14, 2021
  • 1 minute read
  • By: Raj Dwivedi

Telemedicine, COVID-19 And Liver Diseases

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  • For liver diseases, there have been successful experiences with the use of different modalities of telemedicine [i.e. asynchronous telemedicine (analysis of patient's data by a single physician or multidisciplinary team), synchronous real-time patient management and tele-education]
  • Our Telemedicine program showed successful results as the sustained virologic responses achieved by those patients treated in primary care settings under the expert guidance.
  • Currently, this type of care is considered a vital tool for the goal of global elimination of HCV infection.In addition to HCV management, telemedicine offers opportunities for a better management of patients with chronic liver diseases by increasing their access to tertiary care, thus improving efficiency of healthcare delivery at reasonable cost .
  •  We forsee expansion of telemedicine into other areas of hepatology is desirable and hold potential for improving management of pre- and post-liver transplant patients, patients with hepatocellular carcinoma (HCC) and patients with both compensated and decompensated cirrhosis.
  • It is important to note that in liver transplant setting existing data suggest that use of telemedicine may expedite evaluation and listing of patients referred to liver transplant centers and could improve outcomes (hospital readmissions, and quality of life) after liver transplantation.
  • In the case of HCC, telemedicine aslo offers the possibility of multidisciplinary evaluation in virtual tumor boards leading to tailored and more effective treatments . Finally, in cirrhosis, telemedicine may enhance self-care and facilitate HCC surveillance eventually preventing readmissions in recently hospitalized patients.
  • With the onset of COVID-19 pandemic everyone has forced the implementation of telemedicine actions for many liver patients.
  • Major international societies have released recommendations encouraging the use of remote care to manage patients with all liver diseases, particularly liver transplant patients.
  • However, the crisis will seriously impact cirrhosis care with social distancing and isolation causing major delays in elective procedures and routine care with potential overwhelm of medical centers managing postponed and potentially decompensated patients in the upcoming months.
  • Developing robust telemedicine programs and revamping remote care initiatives in hepatology will be critical during COVID times. The next challenge will be how to integrate telemedicine into routine clinical care beyond the COVID-19 pandemic.
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Busting Nutrition Myths in India: An Evidence-Based Guide Powered by SecondMedic’s AI Health Guide

Busting Nutrition Myths in India: An Evidence-Based Guide Powered by SecondMedic’s AI Health Guide

Nutrition misinformation has become increasingly common in India. From viral social media diets to generational food beliefs, many individuals struggle to separate fact from fiction. These myths can influence daily habits, delay proper treatment and contribute to the growing burden of lifestyle diseases.

SecondMedic’s AI Health Guide was designed to offer clarity. By analysing scientific literature, Indian dietary patterns and personal health inputs, it explains complex nutrition topics in a human-friendly, practical manner. This blog explores the most widespread nutrition myths in India and how an AI-enabled approach helps users make informed dietary decisions.

 

Why Nutrition Myths Persist in India

1. Cultural dietary traditions

Food practices often evolve through experience but not always through evidence. Certain long-held assumptions continue despite scientific updates.

2. Rise of viral misinformation

Millions of Indians search diet advice online daily, and misleading content spreads rapidly without expert review.

3. High prevalence of lifestyle diseases

ICMR and NFHS-5 highlight escalating rates of:

  • Diabetes

  • Obesity

  • Hypertension

  • PCOS

  • Thyroid disorders
     

The public seeks quick solutions, making myths appealing.

4. Limited access to qualified dietitians

Many people rely on hearsay or generic tips rather than personalised nutrition guidance.

SecondMedic’s AI Health Guide bridges this gap by offering accessible, evidence-backed explanations.

 

Myth 1: “Carbohydrates always lead to weight gain.”

Carbohydrates are not inherently harmful.
The problem lies in refined carbohydrates like white bread, sugary drinks and packaged snacks.

What the science says

Whole grains, millets, oats and fibre-rich carbs improve:

  • Gut health

  • Blood sugar regulation

  • Energy levels
     

Research in Lancet Public Health confirms that complex carbs support metabolic wellbeing.

AI Health Guide perspective

The system evaluates:

  • Activity level

  • Blood sugar trends

  • Dietary preferences
     

Then recommends the type and quantity of carbs suitable for the individual.

 

Myth 2: “Protein damages the kidneys.”

This is one of India’s most common misconceptions.

Clinical reality

Protein affects kidneys only in individuals with existing kidney disease.

NFHS-5 shows that most Indians do not meet their daily protein requirement.

Balanced approach

Safe protein sources:

  • Lentils

  • Paneer

  • Eggs

  • Tofu

  • Chicken

  • Fish
     

An AI-guided nutrition plan ensures intake matches needs and health conditions.

 

Myth 3: “All fats are unhealthy.”

Fats play essential roles in:

  • Hormone production

  • Brain function

  • Vitamin absorption
     

Good fats

  • Nuts and seeds

  • Olive oil

  • Flaxseed

  • Fatty fish
     

Harmful fats

  • Trans fats

  • Hydrogenated oils

  • Deep-fried packaged snacks
     

SecondMedic’s AI Health Guide analyses dietary logs to suggest healthier fat alternatives.

 

Myth 4: “Detox diets cleanse the body.”

Detox teas, juices and cleanses are popular but not scientifically validated.

Actual detoxification

The liver, kidneys and digestive system naturally remove toxins.

Risks of extreme detox diets

  • Fatigue

  • Digestive distress

  • Slow metabolism

  • Nutrient deficiencies
     

A sustainable alternative includes balanced meals, hydration and fibre-rich foods.

 

Myth 5: “Eating after 8 PM causes weight gain.”

Timing is not the primary factor.
Weight gain depends on:

  • Total calorie intake

  • Food quality

  • Portion control

  • Sleep-wake cycles
     

For shift workers or late diners, an AI-based guide personalises eating windows that match biological rhythms.

 

How AI Personalises Nutrition Guidance for India

The AI Health Guide adapts advice based on:

• Clinical inputs

Blood reports, symptoms, chronic conditions.

• Lifestyle signals

Sleep, activity, stress, work schedules.

• Cultural eating patterns

North Indian, South Indian, vegetarian, non-vegetarian diets.

• Personal health goals

Weight control, energy improvement, disease management.

This ensures that the guidance is not generic-it is tailored for real-life Indian scenarios.

 

How an AI Health Guide Supports Preventive Healthcare

1. Early risk identification

AI recognises patterns that may indicate:

  • Rising blood sugar

  • Nutrient deficiencies

  • Poor digestion

  • Inflammatory markers
     

2. Behavioural nudges

Small, realistic changes are suggested instead of extreme diet plans.

3. Improved health literacy

Users understand why certain foods are better choices.

4. Better medical support

Clear explanations enhance doctor and dietitian consultations.

 

Conclusion

Nutrition myths can lead individuals toward restrictive diets, nutrient deficiencies and misguided health decisions. With rising lifestyle diseases in India, accurate nutrition knowledge is essential. A scientific, personalised approach-supported by an AI Health Guide-helps individuals navigate misinformation confidently.

By combining evidence-based insights with individual dietary needs, SecondMedic’s AI-driven guidance empowers people to adopt sustainable, preventive and truly health-enhancing food habits.

 

References

• ICMR Indian Nutrition Profile & Dietary Science Study
• National Family Health Survey (NFHS-5) - Protein Intake & Micronutrient Data
• NITI Aayog - Preventive Health & Digital Nutrition Insights
• WHO Global Dietary Guidelines & Balanced Nutrition Framework
• Lancet Public Health - Carbohydrate Quality & Metabolic Health Studies
• Statista - India Digital Nutrition & Health Behaviour Analysis
• EY-FICCI - AI and Preventive Healthcare Consumer Report

See all

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