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

THE CHALLENGES FACED IN MAKING A VACCINE FOR COVID-19 — Part 2

Previously we’ve seen the difficulties researches face in trying to make a vaccine. But even if we make a vaccine, that’s just half the battle. Viruses are unique because they can mutate, and they can mutate to astonishing degrees. In humans mutations to tiny parts of our DNA can cause severe diseases or even death. In viruses mutations can change their structure, making them more infective and giving them a new coat. It gives them a survival advantage, the ability to evade our immune system and make our vaccines ineffective. This is why we need a new flu vaccine every year.

If it takes months to a year to develop a vaccine, it will be based off the virus found in December 2019. By this time the virus may have spread and mutated to such a degree that it is not effective. This does not mean all the effort was for nothing. Going through the steps and understanding the issues faced with making a COVID-19 vaccine can make the process quicker for subsequent vaccines against its mutated versions.

https://www.sciencealert.com/who-says-a-coronavirus-vaccine-is-18-months-away So Long to Develop a Vaccine

FAILURES FROM THE PAST

These issues were faced during the Ebola and Zika virus epidemics, and many large companies are understandably hesitant to develop vaccines for COVID-19. Ebola first broke out in 2014, and it was only in December 2019 that the first vaccine was approved for use by the European Commission and the United States. This is despite multiple large institutes in Canada and the UK working together to develop it.

13 different Ebola vaccine candidates had been identified soon after the outbreak, but none had been tested on humans. Unfortunately this is the most expensive part of development, and the area biopharmecuticals stand to loose the most money. Return on investments is also low, since epidemics usually take place in poorer countries, and the potential customers are unable to pay the high prices for these brand new treatments. It is an unfortunate realisation that research into medicines is driven by rich countries, for diseases that affect the rich.

https://newint.org/features/web-exclusive/2016/06/16/why-did-the-market-fail-to-produce-an-ebola-vaccine Ebola

WHERE ARE WE NOW?

This is all well and good, but what does it mean for COVID-19? We know we cannot rush a vaccine, because a poorly designed vaccine with unknown side effects can cause more harm than good, especially if given to children or the elderly. Currently the WHO are tracking 31 different attempts at making a COVID-19 vaccine, using different methods as discussed before. All of these are currently in the pre-clinical stage, focusing on isolating parts of the virus and creating a target the body will recognise and react to.

Researchers at the University of Queensland were one of the first to start using the genetic code of COVID-19, released openly by Chinese researchers. They have developed a test vaccine within 6 weeks using state-of-the-art genetic techniques, used for the first time. If animal models prove successful then human testing might begin within 6 months. In the pharmaceutical industry advancements this quick are almost unheard of.

Additionally over 293 clinical trials are taking place in China using existing drugs on the market. The advantage is we already know these drugs are safe to use in humans, but we are trying to work out if they will work against COVID-19. Some scientists are also looking at medications that were initially developed against SARS and MERS, but never completed because these outbreaks died down and the medication was no longer required.

https://www.aljazeera.com/news/2020/03/china-recovered-develop-effective-covid-19-treatments-200302082850237.html COVID-19 treatments

https://www.who.int/blueprint/priority-diseases/key-action/novel-coronavirus-landscape-ncov.pdf?ua=1 WHO news

https://www.theverge.com/2020/2/28/21156385/covid-coronavirus-vaccine-treatment-moderna-remdesivir-research COVID-19 treatment

Its not all doom and gloom. Challenges drive innovation, and we are already benefitting from this. New forms of genetic sequencing, new methods for extracting viral proteins, new techniques in creating a vaccine. These innovations are already benefitting us on the drive to create an effective vaccine for COVID-19, and they will benefit us in the future when the next pandemic hits.

Dr Rajan Choudhary, Product Manager Second Medic UK

www.secondmedic.com

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Digital Healthcare Automation India: Enabling Smart Workflows, Faster Care, and a Modern Clinical Ecosystem

Digital healthcare automation is redefining how India delivers medical services, manages clinical operations, and coordinates patient journeys. As hospitals, clinics, and digital health platforms move toward technology-driven processes, automation has become essential for ensuring efficiency, reducing manual work, minimizing delays, and improving care accuracy. In a healthcare system where patient volumes are high and specialist availability is uneven, automation empowers organizations to deliver faster, smarter, and more consistent care.

India’s healthcare automation growth aligns with national initiatives like ABDM (Ayushman Bharat Digital Mission), growing telemedicine adoption, rising digital literacy, and the increased use of AI-based medical tools. SecondMedic integrates automation into every stage of digital care-appointments, reporting, monitoring, follow-ups, and preventive health-allowing users and clinicians to experience a seamless, intelligent healthcare ecosystem.

Digital healthcare automation India is not simply about digitizing manual tasks; it is about augmenting healthcare with intelligent workflows that respond to real-time needs. By reducing repetitive workloads, automation allows clinicians to focus on what matters most: patient care.

Why Automation Matters in Indian Healthcare

India faces significant challenges: overloaded outpatient departments, resource shortages, manual data entry errors, delayed reports, and administrative inefficiencies. Automation addresses these issues by introducing structured, rule-based processes supported by AI and digital tools.

Key systemic challenges automation helps solve:

High patient-to-doctor ratios
Slow movement of information across departments
Inconsistent follow-up and monitoring
Manual errors in documentation and reporting
Unpredictable appointment flow
Inadequate time for patient–doctor interaction

Digital automation supports a more organized, reliable, and high-performance healthcare environment.

What Is Digital Healthcare Automation?

Digital healthcare automation refers to the use of AI, software systems, connected devices, and workflow engines to automate medical and administrative procedures. These tools reduce manual intervention wherever possible and ensure accuracy, repeatability, and continuity.

Core areas of automation include:

Appointment management and scheduling
Electronic medical record updates
Auto-generation of diagnostic summaries
Automated clinical reminders
Medication and health-plan notifications
Remote monitoring and alert systems
Digital report formatting
Workflow optimization for hospital operations

SecondMedic incorporates automation across its telemedicine, diagnostics, monitoring, and preventive-care systems.

Automated Appointment Scheduling and Coordination

Appointment automation is one of the most practical innovations in India’s digital health landscape. Without automation, patients often encounter long queues, missed follow-ups, and scheduling conflicts.

Automated scheduling helps by:

Matching patients to the right doctor
Reducing wait times
Preventing double bookings
Prioritizing urgent cases
Coordinating virtual and in-person consults
Helping doctors manage daily workloads efficiently

SecondMedic’s automated scheduling engine analyzes doctor availability, user urgency, and specialty requirements to optimize appointment flow.

Automation in Diagnostics and Reporting

Medical diagnostics often involve multiple steps that traditionally require human intervention-uploading reports, comparing past results, formatting summaries, highlighting abnormalities, and generating clear interpretations.

Automation enhances diagnostic workflows by:

Auto-organizing digital medical reports
Highlighting abnormal ranges
Identifying missing test values
Summarizing patient history for doctors
Formatting structured reports instantly
Automating comparisons with past results

For AI-based imaging and lab analytics, automation helps radiologists and clinicians detect patterns faster and reduce minor reporting inconsistencies.

Remote Monitoring and Automated Alerts

Remote patient monitoring has grown rapidly in India, especially for chronic diseases. Wearable devices and home-health tools generate continuous data streams. Automation helps turn these raw inputs into actionable insights.

Monitoring automation includes:

Auto-detection of abnormal vitals
Alerts for risky trends
Medication reminders
Follow-up triggers
Predictive alerts using AI
Aggregated health reports for doctors

For chronic care, this ensures timely intervention and reduces emergency visits.

Enhancing Hospital and Clinic Workflows

Healthcare automation in clinical facilities improves operational efficiency and reduces administrative bottlenecks. Hospitals benefit significantly from automated workflows that ensure consistency and speed.

Applications include:

Patient flow management
Automated admission and discharge processes
Digital billing and inventory management
Lab and pharmacy integration
Nursing task automation
Centralized communication dashboards

These improvements reduce patient wait times and improve overall care delivery.

Improving Patient Engagement Through Automation

Automation supports patients by making healthcare more accessible and predictable. Many individuals struggle to remember follow-ups or understand complex medical guidance. Automated systems simplify this journey.

Key patient-facing automation benefits include:

Reminders for medications and appointments
Preventive health notifications
Personalized care tips
AI-driven chat support for common queries
Post-consultation guidance delivery
Automated sharing of doctor notes and reports

SecondMedic uses automation to ensure patients remain engaged throughout their health journey.

Automation and AI: A Powerful Combination

AI enhances healthcare automation by making it adaptive and context-aware. Instead of following fixed rules, AI learns from patterns, outcomes, and user behavior to optimize workflows.

AI strengthens automation through:

Predictive recommendations
Dynamic scheduling adjustments
Automated report summaries
Early detection of errors
Smart escalation of high-risk cases

This combination powers advanced clinical systems that support both providers and patients.

Challenges in Implementing Healthcare Automation in India

Automation requires planning, infrastructure, and careful integration. Key challenges include:

Fragmented patient data across facilities
Infrastructure limitations in rural areas
Varying digital readiness across hospitals
Need for staff training
Ensuring compliance with DPDP and ABDM standards

Despite these challenges, adoption is increasing as digital health becomes mainstream.

The Future of Digital Healthcare Automation in India

India is poised for significant automation growth, driven by advancements in AI, 5G connectivity, cloud platforms, and interoperable health records. Over the next decade, digital healthcare automation will include:

AI-powered hospital command centers
Fully automated radiology and pathology workflows
Robotic process automation (RPA) in administrative processes
Automated care coordination for chronic diseases
Voice-based digital assistants for patient queries
Smart triage algorithms integrated across telemedicine networks
Predictive automation for emergency care

SecondMedic is building a modern digital ecosystem that integrates AI, automation, and predictive healthcare tools, creating a seamless and intelligent healthcare experience for users.

Conclusion

Digital healthcare automation India is unlocking a new era of efficiency, precision, and patient-centered care. By automating clinical workflows, diagnostic tasks, and patient engagement processes, healthcare organizations can deliver faster, more reliable services. Automation supports doctors with real-time insights, reduces administrative burdens, and ensures that patients receive timely interventions.

SecondMedic continues to lead this transformation by integrating automation into virtual care, diagnostics, monitoring, and preventive health solutions, shaping the future of digital healthcare in India.

To access advanced automated digital healthcare tools, visit www.secondmedic.com

References

NITI Aayog – Digital Health India
ABDM – National Digital Health Mission
IMARC – Healthcare Automation Market India
WHO – Digital Health Workflow Automation
FICCI – Hospital Automation India

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