Despite the clear advantages, skepticism surrounding the adoption of lab automation software persists. To clear the air and assure that investing in Laboratory Information Management Software (LIMS) is of worth, Anusha Ashwin, Content Consultant at HCITExpert Blog, recently got chatting with Group Director of Laboratory Medicine, Kauvery Hospital, Prof. Dr. C.N. Srinivas – popularly known as the ‘Father of Urine Automation’ in India. A dedicated Laboratory Medicine, Pathology & Transplantation Immunology Physician with over 31 years of expertise in designing and establishing Laboratory design & Operations & Total Quality Management Systems, & Accreditation, Prof CNS convinces us that investing in quality lab automation software is the order of the day and the future for personalized healthcare services.
Excerpts of the interaction
Anusha: From sample screening to audit report generation, AI & ML have a role to play at every stage of a diagnostic laboratory’s functioning. How do you view this development regarding automation in the last decade?
Prof. Srinivas: Over the last decade, laboratory automation has advanced significantly, and its impact on diagnostic laboratories has been profound. The integration of Artificial Intelligence (AI) and Machine Learning (ML) in diagnostic laboratories has revolutionized the field of diagnostics and pathological studies. Today, we have AI-powered algorithms that can analyze large amounts of data, reducing manual errors and increasing testing speed.
Well-developed automated systems can quickly help identify critical results, enabling timely interventions and better patient outcomes owing to increased turn around times (TAT). Automation has freed laboratory professionals from mundane tasks, allowing them to focus on high-value tasks, such as interpreting complex diagnostic tests and consulting with clinicians.
Let’s take corporate employee wellness screening as an example. Automation has freed laboratory professionals from mundane tasks for several batches of test samples. Instead, they can concentrate on employees’ tests flagged (by LIMS) with potential health risks. Lab experts can focus on more complex or follow-up tests that require skilled interpretation, ensuring accurate diagnosis and recommendations. We are witnessing widespread adoption of LIMS (Laboratory Information Management Software) among lab owners because it is proven to improve test reporting quality and, to a large extent, audit reporting.
Currently, the adoption of AI-enabled digital pathology platforms is slow, but as more pathological diagnostic labs adopt technology, we will witness increased remote monitoring, consultation, and diagnosis, improving access to all types of healthcare services.
Anusha: Mid-sized lab operators and franchise holders commonly perceive that investing in automation software is very cost-intensive and impacts human resources (e.g., job loss). What is your take on this? What is your advice to budding laboratory professionals who are seeing a good career opportunity in this field?
Prof: Srinivas: Mid-sized lab operators and franchise holders may view automation software as a costly investment while reducing human resources. However, it’s crucial to consider the long-term benefits that can outweigh these concerns. While there’s an upfront investment, automation can lead to significant cost savings in the long run. Reduced manual labor, minimized errors, and improved efficiency can translate to lower operational expenses.
Regarding job loss concerns, there is a need to upskill and reskill professionals in data analysis, software, and QC. Automation can lead to new career opportunities in laboratory informatics, data science, and medical research. Remember, the goal of automation is not to replace humans but to empower them to focus on the most critical aspects of their work—providing high-quality patient care and advancing scientific knowledge. My advice to young lab professionals is to figure out where the human touch can be rendered.
Focusing on high-value tasks like result interpretations, consulting, and connecting clinicians will enhance the laboratory’s image and bring it closer to a patient-centric laboratory. For anybody in the field of lab diagnosis, upskilling, reskilling, and adapting to new technologies can help them thrive in this evolving field.
Anusha: Clinical Decision Support Software is considered a must-have in diagnostic and histopathology labs today. How does this software aid in precision medicine?
Prof. Srinivas: Clinical Decision Support (CDS) software plays a vital role in precision medicine by interpreting complex data. CDS software developers are creating products that analyze large amounts of patient data, including genetic information, medical history, and laboratory results. Instead of simply providing lab results, CDS software becomes an advisor, analyzing a wealth of patient information—from their genes to their medical history—and offering personalized insights. When these insights are notated and shared with clinicians, they can confidently make informed decisions. The Tumor Board members especially believe in CDS software for precision cancer diagnosis.
Anusha: Where do you think the gaps in the adoption of lab automation software in India’s healthcare services companies exist, and how do you suggest they can be overcome?
Prof. Srinivas: I would say the first and foremost reason is limited awareness. Many healthcare services companies in India may not be aware of the benefits and potential of lab automation software. Of course, there are cost constraints. The initial investment required for lab automation software may be a barrier for many companies, but I opine that the RoI will yield profits.
However, the concern is also the lack of clear regulatory guidelines and standards for lab automation software in India. This definitely creates uncertainty among lab owners. I also see insufficient training and support for laboratory professionals as a difficulty in implementing and utilizing lab automation software effectively.
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