• Published on: Apr 04, 2020
  • 3 minute read
  • By: Dr Rajan Choudhary

Anyone With Flu Like Symptoms Are Now Encouraged

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The Bold Strategy the UK has adopted against COVID-19

The UK government had outlined its Coronavirus strategy in three distinct steps. The first stage was to contain the virus. This was implemented when spread of the virus was primarily by infected patients from abroad. Public health advice was provided, campaigns on washing hands, not touching the face, practicing safe hygiene. Potentially infected individuals were informed to self-quarantine for 14 days whilst waiting for symptoms to develop and testing to occur. Now it is evident this is not enough. The virus has spread to enough people that transmission can now occur locally, between people who have never been abroad. Containment is not the aim, mitigation of number of cases to prevent burdening the health services. The second stage aims to reduce the epidemic’s peak, flatten it out so the number of cases do not occur at once.

Anyone with flu like symptoms are now encouraged to stay home for 7 days, and testing will only occur for hospital admissions. Beyond this little appears to have changed. Schools will remain open, social gatherings have not been cut yet (but is expected over the next week) and general life will continue as normal. This is a risky measure, one that suggests the government is not taking the issue seriously. France, Spain and Italy have enacted lockdown measures, Germany has begun cutting social gatherings. So why is the UK not following in step? Are people going to die as a result of this inaction?

DELAY THE SPREAD

The answer is of course complex. PM Boris Johnson has acknowledged that as a result of his decision people may die, especially the elderly who are seen as a very vulnerable population. But this plan has been discussed with multiple scientists, doctors, public health specialists, and there is method in the madness. Currently the UK is in the early stages of the epidemic. The number of infected are expected to rise sharply in 4 weeks, with a peak in 10–14 weeks. Implementing harsh restrictions too early can lead to “self isolation fatigue”, resulting in people not following the restrictions stringently or leaving their homes at the height of the epidemic. Restrictions also come with their own problems, and implementing them may lead to more harm than good. Simple measures such as hand washing and self isolation can itself reduce the peak of cases by 20%.

Schools have not yet been closed because COVID-19 does not appear to affect children as much. Closure of schools would also mean parents having to stay at home to look after their children (after all, nurseries, creches and other forms of childcare would still result in a spread of infection). In some cases these parents are also healthcare professionals, and the UK needs every single doctor, nurse and allied health professional to be on the frontline treating patients.

So what is the strategy? The NHS is currently full of patients due to the winter burden, one that is expected to taper off in the coming months. Slowing the onset of the epidemic’s peak to Summer, spreading it across the next few months so the maximum number of people can be treated in the hospital setting without overburdening. The aim is no longer to prevent the spread of infection but to protect the most vulnerable age groups. This model allows the young and healthy to become infected, almost encourages it.

INFECT YOUR CITIZENS

Now this sentence may sound ridiculous when said out loud. Allow infection. But why? The UK has acknowledged there is no way to stop the infection. Whilst the mortality in the elderly population and those with medical conditions are high, in the young and healthy it manifests as a mild illness with almost all infected cases recovering. More importantly, recovered patients have immunity against the virus, manifesting as antibodies in their blood. Immune patients cannot infect other people, so the more immune patients there are the slower the virus will spread. This is known as herd immunity, and the process is discussed in length in our blog on vaccines. Herd immunity needs to be achieved before the onset of winter in 2020, as winter admissions alongside COVID admissions would result in a disaster.

https://medium.com/@rajneesh.dwivedi/developing-a-vaccine-for-covid-19-part-1-f7263ae9bf88 Rajneesh secondmedic

The strategy is of course risky, and one that has not been implemented before. And since the infection will not be contained people will die. But by spreading the burden of the infection across a longer time period will allow those who require treatment to receive it in a far less burdened health system. And it has received support from health professionals, even those who are fierce critics of the PM and Conservative government. But it has resulted in confusion amongst the population, a population that looks at authoritative action taking place in other countries and not understanding why their own doesn’t follow suit. The issue is these draconian measures are not sustainable, and if implemented correctly the UK strategy may result in far less lasting damage on its health service and the economy.

Dr Rajan Choudhary, London UK

Head Of Products, Second Medic Inc (www.secondmedic.com)

Read Blog
Healthcare Data Analytics in India: Powering Smarter, Predictive Care | SecondMedic

Healthcare Data Analytics in India: Powering Smarter, Predictive Care | SecondMedic

In today’s digital era, data is transforming Indian healthcare. From hospitals to telehealth apps, analytics is turning raw information into actionable medical intelligence.

For a country with 1.4 billion people and one of the fastest-growing healthcare markets in the world, data analytics is the key to making care predictive, preventive, and personalized.

And platforms like SecondMedic are using this power to revolutionize the way India stays healthy.

 

The Rise of Healthcare Data Analytics in India

According to NASSCOM’s HealthTech Report (2025), the healthcare analytics market in India is valued at USD 1.3 billion and is expected to grow at a CAGR of 24.5% through 2030.

The drivers behind this growth include:

  • The explosion of digital health data via ABDM (Ayushman Bharat Digital Mission).

  • Rapid adoption of AI & machine learning in healthcare.

  • The need for predictive models to handle chronic disease management.

  • Growing demand for real-time insights to improve care delivery.
     

With every diagnostic test, wearable device, and teleconsultation generating data - analytics is now the engine of modern healthcare.

 

What Data Analytics Can Do in Healthcare

  1. Early Disease Prediction – AI-driven data models can predict diabetes, heart attacks, and cancer with high accuracy.

  2. Operational Efficiency – Hospitals can optimize staffing, resource use, and patient scheduling using predictive algorithms.

  3. Public Health Management – Real-time outbreak tracking and vaccination analytics improve community health planning.

  4. Cost Reduction – Data analytics can lower healthcare costs by 20–25% through better preventive strategies.

  5. Personalized Medicine – Treatment plans are tailored based on patient data and genetic factors.
     

 

How SecondMedic Uses Data Analytics for Smarter Health

At SecondMedic, data analytics isn’t just a tool - it’s the foundation of intelligent healthcare delivery.

Our AI-powered system gathers insights from diagnostics, patient profiles, and wearable data to offer:

  • Predictive risk scoring for chronic conditions.

  • Smart health dashboards that track real-time trends.

  • Personalized doctor recommendations based on analytics.

  • Population health data for corporate and wellness programs.
     

“At SecondMedic, data isn’t about numbers - it’s about saving lives before symptoms even appear.”
- Dr. Meenakshi Sharma, Medical Director, SecondMedic

 

Market Insights & Reports

  • Market Size: USD 1.3 Billion (2025) ? USD 4.9 Billion by 2030 (IMARC Group)

  • Digital Health Records Coverage: 380 Million Indians under ABDM (NHA 2025)

  • AI Usage in Diagnostics: Expected growth 35?GR (Statista 2025)

  • Hospital Data Analytics Adoption: 61% of large hospitals using analytics tools (FICCI HealthTech 2025)

  • SecondMedic AI Data: 500,000+ risk profiles analyzed since 2023
     

 

Challenges in Healthcare Data Analytics

Despite rapid progress, India faces several challenges:

  • Data fragmentation across hospitals and labs.

  • Lack of interoperability between systems.

  • Privacy and cybersecurity risks.

  • Limited AI awareness among healthcare professionals.
     

However, the ABDM and NITI Aayog Health Data Policy are addressing these issues through secure digital frameworks and data standardization.

 

The Future of Healthcare Data Analytics in India

As India’s digital health infrastructure grows, analytics will play an even larger role - from precision medicine to AI-powered predictive care.

With platforms like SecondMedic, healthcare is shifting from reactive treatment to data-informed prevention, ensuring better outcomes for millions.

 

Conclusion

Healthcare data analytics in India is not about numbers - it’s about insights that save lives.

By turning data into meaningful health actions, SecondMedic is helping build a future where diseases are predicted before they progress and care is delivered before it’s too late.

Experience data-driven preventive healthcare at www.secondmedic.com

 

References

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