• Published on: Jul 09, 2020
  • 2 minute read
  • By: Dr Rakesh Choudhary

COVID- 19 Tests – What Do You Need To Know?

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COVID- 19 tests – What do you need to know?

Author: Dr. Rakesh Choudhary MBBS, MS, FRCS UK, FRCS Orth UK, MChOrth UK.

 Dr. Choudhary is a practicing consultant surgeon in the UK.

So many of us think it is not their job to learn about COVID-19 tests and this should be left for the experts and governments to decide about these tests. But I strongly suggest the public must have a basic understanding of these tests which they may have to have themselves.

Basically there are two types of tests, one which can detect the virus in the body and the other one which tells if the person had the previous infection.

Virus test

The virus test detects an active infection. It detects the genetic material (RNA) of the virus during an active infection. It is also called a PCR (polymerase chain reaction) test or nucleic acid test and is sometimes inaccurately called an antigen test.

 A swab is taken from deep in the back of your throat and deep in the nose. The swab should go deep up to 7-8 cm and is generally uncomfortable for the patient. Swabbing patients using the correct technique is paramount in ensuring an accurate result. By simply swabbing the inside of the nasal passage is not deep enough to verify that the virus is present.

What does virus testing tell you?

This test tells us if a patient is actively infected with the COVID-19 virus. Virus testing is used mainly for the diagnosis of COVID-19.

When should it be done?

The virus test works best during the first seven days of symptoms.

The coronavirus can be detected in  swabs even before symptoms of illness first appear . This is why people can be infectious for a few days before the onset of symptoms, which usually appear about 5 days after the virus infects. Some people have no symptoms throughout their infection but are positive on the virus test and infectious to others. After a few days of illness, the concentration of the virus falls (as seen in swab samples) and the symptoms of the illness usually recede. 

Accuracy of the test

In a person with COVID-19, the test is less likely to give a positive result late in the course of infection once the virus has been cleared by the immune system, or if an inadequate sample is taken from the nose or throat. There are concerns that the rate of ‘false negative’ test results could be as high as 30% and a significant number of people are wrongly being told they do not have the virus.

Antibody test

Antibody tests check your blood by looking for antibodies, which may tell you if you had a past infection with the virus that causes COVID-19. Antibodies are protein structures that are produced by the immune system in response to certain infections. The antibody can help fight off infections and can provide protection against getting that disease again (immunity). Antibodies are disease-specific. For example, measles antibodies will protect you from getting measles if you are exposed to it.

The antibody test detects the presence of antibodies as a marker of past infection. The antibody test (blood test) will only detect infections after the immune system has produced antibodies that recognize the virus. This happens approximately 7–10 days after symptoms develop.

Tests carried out a week after a patient develops symptoms will detect only 30% of people who had COVID-19 infection. Accuracy increases to 72% at two weeks and to 94% in the third week. Some people may take even longer to develop antibodies, and some people who are infected may not ever develop antibodies.

Interpretation of the antibody test is complex for non-medical people. Basically having antibodies to the virus that causes COVID-19 may provide protection from getting infected with the virus again. If it does, we do not know how much protection the antibodies may provide or how long this protection may last.

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

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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