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

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

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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
Machine Learning in Healthcare India: A New Era of Predictive and Personalized Care

Machine Learning in Healthcare India: A New Era of Predictive and Personalized Care

Machine learning is driving one of the biggest transformations in Indian healthcare. Machine learning in healthcare India is improving diagnostics, predicting diseases early, and enabling personalized treatment plans based on large volumes of medical data. India’s enormous population, diverse health patterns, and rising burden of lifestyle diseases make ML an essential technology for improving care outcomes.

SecondMedic integrates machine learning across diagnostics, risk scoring, preventive care, and remote monitoring to create intelligent, data-driven healthcare experiences.

Why Machine Learning Is Crucial for India’s Healthcare

India faces major challenges: increasing chronic diseases, low doctor-to-patient ratio, and gaps in early diagnosis. Machine learning helps overcome these limitations through automated analysis and predictive insights.

ML supports:

  • Accurate disease prediction

  • Faster diagnosis

  • Personalized treatment

  • Proactive health management

  • Population-level insights
     

These benefits significantly improve care outcomes.

Machine Learning in Diagnostics

ML excels at interpreting complex medical data faster than traditional methods.

ML improves diagnostics by:

  • Identifying abnormal patterns

  • Analyzing imaging scans

  • Interpreting lab values

  • Comparing historical trends

  • Supporting clinical decisions
     

This reduces misdiagnosis and saves time.

Predictive Healthcare with Machine Learning

Predictive analytics is one of the most powerful ML applications.

ML predicts risks for:

  • Heart disease

  • Diabetes

  • Kidney disorders

  • Thyroid imbalances

  • Mental health issues

  • Respiratory disorders
     

SecondMedic provides predictive scoring for early detection.

Personalized Treatment Planning

Machine learning tailors treatment to individual needs.

ML personalizes care based on:

  • Age and genetics

  • Lifestyle patterns

  • Vitals and wearable data

  • Sleep and stress levels

  • Previous medical history
     

This ensures more accurate and effective treatment.

ML in Remote Patient Monitoring

With the rise of home healthcare, ML analyzes continuous vitals data.

ML monitors:

  • Heart rate

  • Blood oxygen

  • Blood sugar

  • Blood pressure

  • Sleep cycles
     

AI-generated alerts support timely intervention.

ML in Medical Imaging

ML enhances imaging interpretation by detecting subtle visual patterns.

Applications include:

  • Lung infections

  • Cancer markers

  • Cardiac abnormalities

  • Brain lesions

  • Kidney anomalies
     

This improves radiology accuracy and speed.

ML for Population Health in India

ML identifies health trends at a large scale, helping policymakers and hospitals plan resources.

ML provides:

  • Outbreak prediction

  • Disease burden patterns

  • Community health insights

  • Regional risk mapping
     

These tools help improve national healthcare planning.

Challenges in ML Healthcare Adoption

While ML is powerful, challenges include:

  • Data quality issues

  • Need for clinical validation

  • Privacy concerns

  • Infrastructure limitations

  • Need for skilled professionals
     

SecondMedic follows ethical ML standards and ensures secure data practices.

Future of Machine Learning in Indian Healthcare

Upcoming innovations include:

  • Deep learning diagnostics

  • Digital health twins

  • Fully AI-driven preventive dashboards

  • ML-based robotic treatments

  • Genomic ML predictions
     

SecondMedic is committed to building future-ready ML healthcare solutions.

Conclusion

Machine learning in healthcare India is transforming medical care through predictive analytics, personalized treatment, and early disease detection. SecondMedic uses machine learning across its digital ecosystem to deliver accurate, efficient, and patient-centered care.

To explore ML-powered healthcare tools, visit www.secondmedic.com

References

  1. NITI Aayog – AI & ML in Indian Healthcare

  2. WHO – Machine Learning in Clinical Practice

  3. ICMR – India Chronic Disease Data

  4. IMARC – AI & ML Healthcare India

  5. FICCI – Emerging Health Technologies India

See all

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