• Published on: May 06, 2022
  • 2 minute read
  • By: Second Medic Expert

How To Manage Addiction To Your Smartphone?

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The first step is recognizing that you have a problem. If you're constantly checking your phone for messages, notifications, or updates even when you're not expecting anything, then you're probably addicted to your smartphone.

The next step is breaking the habit. This can be done by turning off all notifications except for calls and putting your phone in a place where you can't see it or reach it easily. You might also want to delete any apps that are causing problems.

Finally, replace the bad habit with a good one. Instead of checking your phone all the time, try reading a book, going for a walk, or spending time with friends and family.

There are a few things you can do to help manage your addiction to your smartphone:

1. Set boundaries for yourself and stick to them. For example, decide that you will only check your phone for a certain number of times each day or that you will only use it for certain purposes (e.g., checking email, browsing the web, etc.).

2. Put your phone away when you're not using it. This will help keep you from constantly looking at it and getting distracted.

3. Make use of notification settings to customize how often you receive alerts for different types of messages (e.g., text messages, calls, emails, etc.).

4. Delete any apps that you find addictive or distracting. This will help make it easier to resist using your phone when you shouldn't be.

Some ways to manage addiction to your smartphone include setting time limits on how long you can use your phone each day, and turning off notifications for apps that you don't need to be constantly updated on. You can also try leaving your phone at home when you go out, orPutting it in a different room while you're trying to sleep. If all else fails, you can always delete the apps that are causing the most trouble. There are a few things you can do to manage your addiction to your smartphone. First, try to set some ground rules for yourself and stick to them. For example, try not to use your phone for the first hour after you wake up in the morning, or try not to use it for an hour before bedtime.

Another thing you can do is limit the amount of time you spend on your phone each day. Try setting a timer and only using your phone for a certain number of hours each day. And finally, try using an app like "Freedom" or "Cold Turkey" that will block certain websites or apps on your phone so that you're not tempted to use them. The first step is to become aware of your addiction and the triggers that set it off. For example, if you're addicted to your phone, you might find yourself checking it constantly when you're bored or when there's nothing else to do. You might also use it to avoid uncomfortable or stressful situations.

Once you know what sets off your addiction, the next step is to develop strategies for dealing with those triggers. If you're bored, for example, try occupying yourself with another activity instead of checking your phone. If you're feeling stressed, take a few deep breaths or go for a walk until the feeling subsides.

Track how many times you pick it up each day and how long you use it each time. Be honest with yourself.  If you're using your phone too much, start by setting some limits on yourself. Decide when and for how long you're going to use your phone each day. Put your phone away when you're done using it or hand it over to someone else during that time period. If that's too hard, try turning off notifications for certain apps or put your phone in Airplane Mode at night so you can't be disturbed. And lastly, don't keep your phone in your bedroom at night.

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AI transforming patient care

How Artificial Intelligence Is Transforming Patient Care in India

As a clinician working closely with patients across urban clinics and remote teleconsultation setups, I have seen firsthand how delayed diagnosis, fragmented follow-up, and specialist shortages affect outcomes in India. Artificial intelligence is not a futuristic concept in Indian healthcare anymore. It is actively reshaping how we diagnose diseases, monitor patients, and prevent complications.

AI, when used responsibly under clinical supervision, is becoming a critical support system for doctors and a powerful safety net for patients navigating a complex healthcare ecosystem.


Why India’s Healthcare System Needs AI

India’s healthcare challenges are deeply structural. A large population burdened by lifestyle diseases, combined with uneven access to medical expertise, creates gaps that traditional systems struggle to bridge.

In daily practice, we increasingly see patients presenting late with diabetes, hypertension, heart disease, or cancer. Many ask a simple but important question: why was this not detected earlier? The answer often lies in limited screening, overloaded clinicians, and lack of continuous monitoring.

Chronic conditions dominating Indian clinics today include:

  • Diabetes affecting over 100 million individuals.

  • Hypertension rising even among young adults.

  • Cardiovascular disease driven by late detection.

  • Increasing cancer incidence with delayed diagnosis.

AI matters here because it supports earlier identification of risk patterns, reduces diagnostic delays, and allows clinicians to focus on decision-making rather than data overload.


How AI Is Changing Medical Diagnosis

One common concern patients raise during consultations is whether AI can truly diagnose diseases accurately. In practice, AI does not replace a doctor. It acts as a high-speed analytical assistant.

AI in Imaging and Diagnostics

AI systems can rapidly analyse:

  • X-rays and CT scans.

  • MRI images.

  • Mammograms.

  • Pathology slides.

  • Cardiac and neurological imaging.

These tools flag abnormalities within seconds, allowing doctors to prioritise critical findings. Clinical studies published in peer-reviewed journals have shown that AI models can match specialist-level accuracy for specific imaging tasks when used correctly.

From a physician’s perspective, the real benefit is not speed alone. It is consistency. AI reduces the risk of missed findings during high-volume diagnostic workflows, especially in resource-constrained settings.


Can AI Monitor Patients Outside Hospitals

Patients managing chronic illness often ask whether technology can help them avoid repeated hospital visits. AI-enabled remote monitoring is one of the most meaningful advances in this area.

AI-Supported Remote Patient Monitoring

AI continuously evaluates trends in:

  • Blood pressure.

  • Heart rate variability.

  • Blood glucose patterns.

  • Oxygen saturation.

  • Physical activity and sleep quality.

Rather than reacting to a single abnormal value, AI identifies worsening trends over time. Clinically, this allows early intervention before complications escalate.

Evidence from global health system studies shows that continuous monitoring can significantly reduce avoidable hospital admissions, particularly for diabetes, heart disease, and elderly patients.


Using AI to Predict and Prevent Chronic Diseases

Preventive healthcare remains underdeveloped in India. Most patients seek care after symptoms appear. AI helps shift this model.

By analysing medical history, lifestyle habits, vitals, and environmental factors, predictive models can estimate:

  • Future heart attack risk.

  • Progression of diabetes.

  • Decline in kidney function.

  • Stroke probability.

  • Asthma exacerbation triggers.

Patients often ask if AI can really prevent disease. Prevention here means early warnings. When risk patterns are detected early, doctors can adjust treatment plans, recommend lifestyle changes, and prevent irreversible damage.


Personalised Treatment in a Diverse Indian Population

Indian patients differ widely in genetics, diet, stress patterns, and cultural habits. Standardised treatment protocols often fall short.

AI supports personalised care by analysing:

  • Medication responses.

  • Dietary intake.

  • Blood markers.

  • Sleep and stress trends.

  • Coexisting medical conditions.

For example:

  • In diabetes care, AI helps personalise carbohydrate distribution and medication timing.

  • In hypertension, it identifies sodium sensitivity and stress-related spikes.

  • In hormonal conditions like PCOS, it aligns nutrition and activity with cycle patterns.

From a clinical standpoint, personalised insights improve adherence and reduce relapse rates.


AI-Enabled Telemedicine and Smarter Consultations

Telemedicine has become an essential part of care delivery in India. Patients frequently ask whether online consultations are as effective as in-person visits.

AI enhances telemedicine by:

  • Structuring symptom inputs before consultations.

  • Routing patients to the appropriate specialist.

  • Generating concise medical summaries for doctors.

  • Supporting follow-up reminders and medication adherence checks.

When used correctly, AI reduces diagnostic delays and improves consultation efficiency without compromising safety.


Expanding Healthcare Access Beyond Cities

A major question in public health is whether AI can truly improve rural healthcare access. In practice, it already is.

AI enables:

  • Remote diagnostics supported by portable devices.

  • Virtual specialist consultations for rural clinics.

  • Smartphone-based imaging and screening tools.

  • AI-guided triage in underserved regions.

By reducing dependence on physical proximity to specialists, AI helps bridge longstanding geographical barriers in India’s healthcare system.


Safety, Ethics, and the Role of Doctors in AI Care

Patients rightly express concern about safety, privacy, and over-reliance on technology. These concerns are valid.

Responsible AI use in healthcare requires:

  • Transparent algorithms.

  • Explicit patient consent.

  • High-quality, verified medical datasets.

  • Strict data privacy safeguards.

  • Continuous clinical supervision.

In ethical practice, AI outputs never replace medical judgment. Doctors remain accountable for decisions. Human-in-the-loop verification is essential to ensure patient safety and trust.


What This Transformation Means for Indian Patients

Artificial intelligence is fundamentally changing patient care in India by making healthcare more proactive, more precise, and more accessible. From early diagnosis to personalised treatment and continuous monitoring, AI empowers both patients and clinicians with data-backed clarity.

SecondMedic’s patient-first approach integrates AI as a clinical support system, not a replacement for doctors. By combining medical expertise with digital intelligence, the goal remains simple: better outcomes, earlier intervention, and care that adapts to each patient’s real-world needs.

As clinicians, our responsibility is to ensure that technology serves patients ethically and effectively. When used with care and oversight, AI has the potential to redefine healthcare delivery across India in a way that is inclusive, preventive, and sustainable.

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