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Published on: May 31, 2021
1 minute read
By: Dr Rajan Choudhary

REGN-COV2 – Artificial "antibody Cocktail"

REGN-COV2 – Artificial "antibody cocktail"

Recently a new drug was approved for use in COVID patients in India. Known as REGN-COV2, this new therapy is based on monoclonal antibodies targeting the SARS-CoV-2 virus responsible for COVID. So how does it work? And is there any evidence behind the treatment?

Monoclonal antibodies are made from components of the human immune system. When the human body recognizes a bacteria or virus in the body, the immune system recognizes and processes proteins on the surface of that bacteria or virus. This is presented to the adaptive immune system, and antibodies have produced that lock onto these surface proteins, neutralizing their function and also tagging them for destruction by other white blood cells.

If we identify antibodies capable of efficiently tagging and neutralizing a certain virus, we can identify the cell capable of producing that antibody, clone it and produce it in vast quantities. The antibodies produced from this cloned cell line will be able to target the virus at the same efficiency and have the same ability to neutralize the virus. Just like with vaccines, there is a risk of mutations developing, resulting in changes in the surface protein that reduce binding and neutralizing effects of the antibodies, allowing them to escape and continue to cause disease

REGN-COV2 uses two neutralizing antibodies (Casirivimab/imdevimab), in an effort to minimize the ability of a mutant virus to develop resistance against the antibody cocktail, as the virus would need to develop mutations canceling both antibodies out at once. These antibodies neutralize the receptor-binding domain of SARS-CoV-2 spike protein, preventing viral entry through ACE2 receptors.

In a study published in the New England Journal of Medicine (one of the most prestigious journals in the medical field) data from 275 patients showed a drastic reduction in viral load in patients treated with REGN-COV2. This is clinically significant as hospitalized patients with severe symptoms have higher viral counts than non-hospitalized or asymptomatic patients, suggesting the hypoxaemic, shortness of breath symptoms are related to the viral count and resulting exaggerated immune response.

Based off this result the European Medicines Agency approved the use of REGN-COV2 antibody cocktail in patients who do not require supplemental oxygen but are at high risk of progressing to severe COVID-19.

FDA regulations currently recommend it for patients who are COVID positive with risk factors that may result in their hospitalization but do not recommend it for patients who are already hospitalized, requiring O2 therapy because of COVID or need chronic O2 therapy.

Those that fall into the high-risk categories include patients with a high BMI (over 35), diabetes, on immunosuppressive treatment or with an immunosuppressive disease, over 65 years of age or those with chronic diseases such as renal disease, cardiovascular disease, COPD, or other developmental disorders.

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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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