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Published on: Apr 04, 2020
2 minute read
By: Raj Dwivedi

Protect Yourself From COVID-19 (novel Coronavirus)?

COVID-19 is a viral disease that is spread by airborne droplets, similar to other viral diseases such as the common cold. Symptoms include respiratory issues such as coughing and sneezing, and for this reason many people look towards masks to prevent the spread of this disease. Whilst masks have their place in the treatment and management of respiratory illnesses in the healthcare setting, for the general public masks are of little use. Most members of the public use simple surgical masks, and these are not as effective as the approved N95 particulate respirators used by healthcare professionals.

THE PROBLEM WITH MASKS

Simple face-masks help prevent large droplets and particles from teaching your mouth and nose, particles that may contain viruses and bacteria. In surgery they prevent bodily fluids from being transmitted between patient and surgeon, such as blood. However their design does not block the very small particles that are transmitted by coughs and sneezes. Furthermore they are loose fitting and so particulates can still enter through the gaps between the mask and the skin.

N95 respirators on the other hand are specially designed to prevent very fine particulate matter from entering the users nose and mouth. However even these are not perfect as they are only rated to block 95% of all such matter. Their use also depends on having a tight seal around the face, and cannot be used with facial hair. Application of the mask must also be done in a particular manner without touching the mask to ensure it remains sterile. It needs to be replaced as soon as it is damp, and by only touching the straps behind your head. Before and after putting on the mask your hands should be cleaned with alcohol based gels, or with soap and water.

Because of the issues associated with masks, the WHO has released recommendations on when members of the public should use masks:

· If you are healthy, you only need to wear a mask if you are taking care of a person with suspected 2019-nCoV infection.

· Wear a mask if you are coughing or sneezing.

· Masks are effective only when used in combination with frequent hand-cleaning with alcohol-based hand rub or soap and water.

THE IMPORTANCE OF HYGEINE

So if masks are not effective, what should you do? The simple answer is you should maintain good personal hygiene to minimise the risk of infection. Simple, frequent hand-washing with soap and water or with alcohol gel physically destroys the virus on your hands. This minimises any transmission risk to yourself and to other people. If sneezing, you should sneeze into the crook of your elbow or into a tissue, and dispose of this. After this you should once again clean your hands and dry them thoroughly. Washing your hands for 20 seconds is more effective at reducing the risk of infection than wearing a mask.

Antibiotics will not help in treating COVID-19 as this is a viral disease. Antibiotics have no effect on viruses because they are completely separate types of organisms, as different as a human is to a potato. Other drastic measures such as irradiating your body or using highly irritant cleaning products on the skin such as bleach can cause harm and create further medical problems. Using traditional or homemade medical therapies advocated on social media or by word-of-mouth are similarly not effective in destroying the virus. Some treatments can be harmful to your body as they are untested with no evidence to show they work, and unfortunately can provide you with a false sense of security. If you wish to obtain advice you should do so from a qualified health professional or from the World Health Organisation site on public advice. This can be found on https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public COVID-19.

www.secondmedic.com website

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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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