Call
+918447748545

Published on: Apr 05, 2020
3 minute read
By: Dr Rajan Choudhary

Ventilators, When Breathing Is Not Enough For Covid-19 Patients!

Ventilators. A device few had heard of before the pandemic.

This life saving machine is desperately sought after by hospitals around the world. COVID patients with the most severe symptoms require ventilator support to survive and recover. But what is this machine? And what does it actually do?

THE BASICS

Breathing is a simple task, one that we do not think about. When we breathe our chest expands, and air is pulled into our lungs. Here oxygen is exchanged into the blood and transported by the pumping heart throughout the body. In our cells the oxygen is used to release energy from our food, and drive every process and reaction that keeps us alive and functioning.

COVID-19 is a respiratory disease caused by the coronavirus. Its symptoms include a dry cough, fever, feeling tired and more. In most patients the disease is mild. However some suffer from severe disease, causing havoc in their lungs. It can cause viral pneumonia in both of the patients lungs, which reduces the amount of lung able to bring in oxygen to the lung. The patient’s respiratory rate increases, as they struggle to draw in oxygen.

If a person is struggling to breathe on room air doctors can provide them extra oxygen. This is given through a mask they wear on their face. Normal air only has 21% oxygen, but in hospitals it is possible to give air that is 100% oxygen. This means more oxygen reaches the blood, and the patient has to put in less effort to breathe to get the same amount of oxygen to their cells.

In severe cases it can cause widespread inflammation in the lungs, causing fluid to build up and making breathing harder and more laborious. The patient can become tired having to breathe quicker and harder, and this is when doctors look to intensive care specialists and ventilator support.

VENTILATION

If a person is unable to breathe for themselves, it is possible to do this manually or mechanically. Specialists can insert a tube into the mouth of an unconscious patient that enters their windpipe. A bag pump can be attached to this, which a doctor can squeeze to push air into the patient’s lungs. But a person cannot continuously squeeze this bag to keep ventilating someone, as this is time consuming and tiring.

Ventilators are composed of a compressible reservoir or turbine that can push air into the patients lungs. Unlike regular pumps that continuously push air or water, ventilators have to mimic how we breathe. We inspire air in, then expire air out. Ventilators achieve this by pushing in air for a few seconds, inflating the lungs, then releasing the pressure. The natural elasticity of the patients ribs and lungs squeezes the excess air out, mimicking exhalation.

Modern ventilators are very smart, and have many configurable settings. They can be set to deliver defined quantities of air, change the rate of breathing and other advanced settings.

Hospitals regularly use ventilators for patients who are struggling to breathe, patients who are in a coma and have lost the ability to breathe, and also for anaesthetised patients in operating theatres. During the pandemic hospitals are cancelling unnecessary or non-emergency operations, redistributing these ventilators to be used for COVID patients instead.

MAKE MORE VENTS

It is estimated that up to 30% of patients that are admitted to hospital require ventilators. Most hospitals across the world do not have enough ventilators because they have never needed to ventilate so many patients. Governments have recruited the help of manufacturing companies to ramp up production of ventilators. In the UK F1 teams, military aircraft constructors and hoover manufacturers have all taken up the challenge and repurposed their factories.

There have also been innovations to create new ventilator designs that are cheap and easy to produce. This often involves off-the-shelf equipment that is already present in hospitals, and 3D printed parts. Such machines often do not require electricity or circuit board electronics, and can even be powered by the high pressure oxygen flowing from gas canisters or hospital walls.

- University College Dublin: https://techcrunch.com/2020/03/19/open-source-project-spins-up-3d-printed-ventilator-validation-prototype-in-just-one-week/ ventilator prototype

- University of Oxford: http://www.ox.ac.uk/news/2020-03-31-ventilator-project-oxvent-gets-green-light-uk-government-proceed-next-stage-testing Ventilator project

NEVER A SIMPLE SOLUTION

But as always its not always this simple. Ventilators are complex machines requiring specialist training to function and maintain, as ventilation and respiratory physiology is quite complicated. Ventilators will be of limited use if hospitals do not have enough staff trained to use them safely.

Ventilators are not without risk either. Because they push air into the lung, continuous use, excessive pressures and improper use can cause some damage to the delicate anatomy inside the lung, causing problems in itself. The plastic tube can also be a source of infection. Some hospitals that have had a sharp increase in ventilated patients have encountered problems supplying all their patients with pressurised oxygen. The patient load is overwhelming their infrastructure.

Unfortunately like most things in medicine, ventilators are not a magic cure. Due to the shortage of ventilators not everyone who needs one is able to get it. Most patients who end up needing ventilation are severely ill. The longer a person is on a ventilator the less likely they are to survive. This means that current mortality is rather high.

As more ventilators become available this treatment may become available to those with less severe symptoms, who are more likely to survive especially with this extra help. It is difficult to make these predictions because so many different variables can have an effect. For now we will have to wait and see.

WHAT DOES IT MEAN FOR ME?

The best way to help in these situations is by not catching the virus. This is especially true for those who are elderly, have diabetes, cardiovascular issues or lung diseases. These high-risk patients are more likely to have more serious symptoms, requiring hospitalization. This is why so many countries have enforced lockdown measures. The fewer that are infected, the fewer that need ventilation.

If you do need to leave the house, always follow the following procedures:

- Wash your hands regularly for 20 seconds with soap or alcohol

- Wear a mask outside: This is now official WHO policy

- If you need to cough or sneeze do so into your arm or a tissue

- Only leave the house for essential activities, shopping or to visit the doctor.

Dr Rajan Choudhary, Chief Product Officer & President, Second Medic UK

www.secondmedic.com

Read Blog

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.

Request A Callback

+91

By using this website/app, I confirm that I am at least 18 years old and consent to the processing of my personal data in accordance with the Terms of Service, Privacy Policy, and Declaration.