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Indian clinical research companies go hitech to streamline patient recruitment & predict accurate outcomes

Nandita Vijayasimha, Bengaluru
Thursday, October 24, 2024, 08:00 Hrs  [IST]

Indian clinical research companies are increasingly adopting high-tech solutions to enhance patient recruitment and improve outcome predictions. By leveraging advanced technologies such as artificial intelligence, machine learning, and big data analytics, these companies can target patient recruitment and machine learning models can forecast outcomes by analyzing historical data, helping researchers assess the likely success of clinical trials and optimize study designs.

According to Nandita Saini, associate vice president, engineering, GlobalLogic, digital technology is driving efficiency in clinical trials. Thanks to its large, diverse population, India is also emerging as a hub for clinical trials. However, the traditional clinical trial process is often time-consuming and costly. Here, digital health technologies are driving efficiency.
 
Artificial intelligence and machine learning are being used to streamline patient recruitment, identify suitable candidates based on health data, and predict outcomes more accurately. Moreover, decentralized trials, enabled by remote monitoring tools, allow broader participation, reduce geographic barriers, and speed up the process, she added.

As the country grapples with challenges of access, affordability, and infrastructure, innovative digital health solutions are emerging as game-changers poised to reshape the healthcare ecosystem. We recognize the pivotal role technology plays in addressing these challenges and unlocking new possibilities for enhanced patient outcomes, remote care, and more efficient clinical trials, Saini told Pharmabiz in an email.

Our country’s healthcare landscape is complex, characterized by a vast urban-rural divide in access to care, a shortage of medical professionals, and varying degrees of infrastructure readiness. Moreover, affordability remains a significant concern for most of the population. Yet, the integration of digital technologies like telemedicine, artificial intelligence and big data analytics is offering solutions to these pressing challenges, she said.

Even as telemedicine has gained significant traction, the AI-driven chatbots and virtual assistants enhance patient interactions, provide initial diagnostics, and offer advice, thereby reducing the load on healthcare professionals. AI can identify trends and predict potential health risks by analyzing vast amounts of patient data. For example, AI tools are being used to detect early signs of diseases such as diabetes and cardiovascular conditions, which are prevalent in India. Additionally, AI-driven diagnostic tools reduce the time needed for medical imaging analysis, enhance accuracy, and make critical diagnostic services more widely accessible, said Saini.

Big data analytics is also crucial in personalized medicine. By using genetic and lifestyle data, clinicians can develop more targeted and effective treatment plans tailored to individual patients, addressing a major gap in the one-size-fits-all approach to treatment.

The ability to provide remote care is not just a convenience but a necessity in a country where nearly 70% of the population resides in rural areas. Mobile health (mHealth) applications, telehealth platforms, and connected devices are enabling healthcare providers to monitor patients’ conditions in real-time, reducing the need for frequent hospital visits and allowing for timely interventions. This shift is especially critical in managing chronic diseases, where ongoing monitoring is key to preventing complications. The integration of wearable technologies is further enhancing patient outcomes.

Looking forward, we see several emerging trends that will further shape the future of healthcare in India. AI-driven diagnostics will continue to evolve, offering even more precise and rapid analysis. Wearable tech will become more sophisticated, providing continuous monitoring and enabling predictive healthcare. Additionally, personalized medicine will become more widespread, leveraging AI and genetic data to tailor treatments to individual patients, said Saini adding that GlobalLogic too is ensuring that these advancements are not only accessible but also transformative for the Indian healthcare ecosystem.

 

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