Digital Darwin is transforming the sports and healthcare industries with its cutting-edge technologies, pushing the limits of human potential with sophisticated AI solutions. This business was founded on February 11, 2021, by visionary entrepreneur Rahul Bajaj, a Deep Tech specialist and former FMS and BITS Pilani student. Since then, it has grown to become a major force in the AI space! Renowned for his ‘Transformation Supply Chain’ methodology, he approaches problems with the accuracy of fixing a chain’s weak points, guaranteeing a comprehensive transformation strategy. His creative ideas have not only sparked significant technological advancements but also the development of forward-thinking businesses that are constantly on the cutting edge. Offering a 360-degree perspective and integrating multiple athletic departments, Speeed.AI is a comprehensive athlete management and performance solution. This tool is changing how pro teams, leagues, federations and national and state sports bodies oversee and improve athlete performance. Since its inception in January 2024, it has accounted for more than 10% of the Indian elite athlete market thanks to its integrated analytics and data integration. With over ten prominent clients, such as the Sports Authority of India in Bangalore, which is home to the Indian National Hockey Team and Karni Singh Shooting Range, which is home to Indian Olympian shooters, it is expanding at an astounding 22% each month. Additionally, it has been evaluated for NIC hosting, is PDP-compliant and is connected with the National Sports Science Database. Conversely, we also have Shitiz Ruhail, a seasoned leader with 15 years of expertise who serves as Digital Darwin’s co-founder and chief growth officer. He has demonstrated exceptional proficiency in spearheading corporate transformation, strategic planning and mergers and acquisitions in a variety of industries, such as healthcare and finance. Let’s go over an exclusive interview with Rahul and Shitiz, Darwin Digitech Pvt Ltd, the founder and CEO of Digital Darwin & co-founder and chief growth officer respectively:
Why is “near-zero hallucination” important for healthcare applications?
Rahul Bajaj: HealthMates.AI’s “near-zero hallucination” is the result of careful implementation and architectural design. Initially, it uses a multi-agent system, implying inherent cross-validation and redundancy. Second, the AI’s knowledge base is customised to the healthcare industry by utilising optimised LLMs (Large Language Models). Importantly, the system uses RAG (Retrieval-Augmented Generation), which means that the AI retrieves data from reliable sources, such as the integrated HIMS/EMR system, rather than only producing responses from its learned model. The possibility of producing inaccurate or fake information is greatly decreased by this foundation on validated facts. “Near-zero hallucination” is crucial in the medical field since false information can have serious repercussions. If the AI gives inaccurate information, there could be a danger of misdiagnosis, improper treatment regimens and negative drug interactions. AI systems must be reliable and accurate in order to be employed properly in clinical settings, where patient safety is of utmost importance.
Describe how Follow-up Agent helps hospitals make more money!
Shitiz Ruhail: The issue of patients “slipping through the cracks” following initial consultations or procedures—a frequent source of wasted revenue and less-than-ideal results—is directly addressed by HealthMate, Meera. It uses the EHR to automatically identify patients who need follow-ups, such as specialty consultations, OPD reminders, or post-discharge check-ins. After receiving approval from the Human Manager, it begin individualised outreach to these patients, customising the message to meet their unique requirements (e.g., a post-surgery conversation or a cardiology follow-up). By taking a proactive stance, patients are more likely to schedule and receive the care they require, which increases the number of procedures, improves resource use and increases the number of OPD visits that turn into IPD admissions. It increases patient retention and encourages more patients to schedule procedures, which increases hospital revenue by guaranteeing timely engagement.
Which are the main sources of information that the AI Analyst Agent consults in order to offer insights?
Rahul Bajaj: To produce insights, Ana, uses a wide range of well screened data sources. She consults peer-reviewed medical literature, established clinical recommendations from top healthcare institutions and meticulously curated computerised health records. Ana also incorporates real-time updates from clinical trial repositories and regulatory agencies to make sure her analyses are up to date and supported by evidence. In addition to improving the precision and applicability of the insights offered, this multi-source strategy facilitates sound, well-informed decision-making in crucial healthcare environments.
In what ways does the OPD Booking Agent enhance conventional appointment scheduling techniques?
Shitiz Ruhail: By simplifying and automating the procedure to get rid of frequent inefficiencies, Sarthi, reinvents conventional appointment scheduling. In contrast to traditional approaches that frequently depend on manual scheduling, lengthy phone calls by hospital staff and possible misunderstandings, Sarthi uses cutting-edge AI to offer real-time availability, immediate booking confirmations and customised appointment recommendations based on patient preferences and history over a straightforward phone call or text message. Sarthi guarantees correct and current scheduling information by integrating with hospital systems and electronic health records in a smooth manner, thereby lowering administrative loads and decreasing errors. By making the booking process quicker and more dependable, this creative method not only increases patient convenience but also boosts overall operational effectiveness in healthcare facilities.
Give an example of how HealthMates.AI might assist a hospital in cutting expenses!
Rahul Bajaj: It improves revenue management and directly and visibly reduces man-hours by automating important administrative processes. For example, Sarthi, replaces multiple contact center agents by automating the appointment scheduling process—eliminating manual call handling and the back-and-forth inherent in traditional reservations. This speeds up patient care while significantly lowering staffing costs. At the same time, Medusa automates medical coding to revolutionise billing processes. This ensures that clinical facts are accurately captured and minimises errors that may result in revenue leakage or delayed reimbursements. When combined, these agents greatly improve operational efficiency and financial performance while freeing up vital staff time so that medical personnel can focus on patient care.
In what ways does it work with current EMR/HIMS systems?
Shitiz Ruhail: Through a strong interoperability architecture that makes use of secure API connections and industry-standard protocols like HL7 and FHIR, it interfaces with current HIMS/EMR systems with ease. Real-time synchronisation of clinical records, appointment scheduling and patient data is made possible by this integration, which guarantees that data moves between systems without interfering with current activities. The platform’s adaptable design enables it to adhere strictly to data security and regulatory standards while accommodating the unique configurations and requirements of various healthcare organisations. Hospitals get improved operational effectiveness, precise data management and a single view of patient data across all systems as a result.
