Rustom Lawyer is the Co-Founder and CEO of Augnito, an organization constructed on many years of expertise in scientific workflows and healthcare expertise. With a deep understanding of world healthcare techniques and governance, he has been instrumental in growing modern options that streamline scientific documentation and improve operational effectivity. His experience in healthcare integrations has formed Augnito’s mission to rework how clinicians work together with expertise, bettering accuracy and workflow automation.
Augnito is a number one supplier of Voice AI options for Medical Documentation and Ambient Medical Intelligence, serving greater than 500 hospitals and 15,000 clinicians worldwide. Its SaaS options improve workflow automation, guarantee accuracy in administrative duties, and equip clinicians with real-time, evidence-based suggestions and insights.
You began your first firm on the age of 19. How did your expertise in scientific transcription with the NHS form your imaginative and prescient for Augnito?
My journey in healthcare expertise started after I co-founded Scribetech within the UK at 19 years previous. This early enterprise turned a pioneer in scientific transcription companies for the Nationwide Well being Service (NHS), laying the essential basis for what would ultimately turn out to be Augnito.
Working with the NHS offered invaluable insights into healthcare documentation challenges on a large scale. We had been chosen as a number one provider on three consecutive nationwide framework contracts, every lasting about 5 years, giving us the uncommon alternative to work with the world’s largest single healthcare group. Our longstanding relationships with prestigious establishments like Chelsea and Westminster Hospital, College Hospital Birmingham, and Kingston College Belief taught us the intricacies of scientific workflows throughout numerous specialties.
These almost 20 years of expertise revealed a elementary reality: documentation was consuming an unsustainable quantity of clinicians’ time. We witnessed firsthand how this administrative burden impacted affected person care high quality and supplier satisfaction. This realization finally formed Augnito’s core mission—to create expertise that liberates healthcare professionals from documentation burdens whereas sustaining the very best requirements of accuracy and compliance.
The NHS expertise additionally instilled in us a deep appreciation for the significance of information safety, interoperability, and scalable options that might work throughout totally different healthcare environments. These rules stay central to Augnito’s growth philosophy at present.
Augnito was born out of a pivot from transcription companies to AI-driven voice options. What had been the important thing components that led to this strategic shift?
This strategic pivot emerged from a number of converging components. First, about 9 years in the past, we noticed our BPO income progress flattening as a consequence of rising automation calls for throughout the healthcare {industry}. Somewhat than resist this inevitable transition, we determined to disrupt our personal enterprise mannequin by investing income into growing what would turn out to be Augnito.
A essential perception drove this choice: we found that docs worldwide spend roughly 50% of their working hours on record-keeping, whereas nurses spend round 30% on comparable duties. This represented an infinite inefficiency in healthcare supply—helpful time that may very well be redirected towards affected person care.
The technological panorama was additionally evolving quickly. Cloud computing, superior AI algorithms, and improved speech recognition capabilities created new prospects that weren’t accessible after we began Scribetech. We acknowledged a possibility to leverage these applied sciences to handle the acute ache level of inefficient scientific documentation and interoperability challenges.
What started as an effectivity software for our transcription enterprise developed right into a complete answer that might rework scientific workflows fully. The shift from transcription companies to AI-driven voice options represented not only a technological improve however a elementary reimagining of how scientific documentation might work— emphasizing velocity, accuracy, and seamless integration with present healthcare techniques.
What have been a number of the greatest challenges in scaling Augnito from an India-based startup to a globally acknowledged AI firm?
Scaling Augnito globally offered a number of important challenges. At first was making certain information interoperability throughout vastly totally different healthcare techniques. Healthcare infrastructure varies dramatically worldwide, with every nation sustaining distinctive regulatory frameworks and documentation requirements. Constructing expertise that might combine seamlessly with these numerous techniques required intensive analysis and growth.
One other main hurdle was gaining belief from healthcare professionals. Drugs is understandably conservative when adopting new applied sciences, particularly AI options that deal with delicate affected person info. Overcoming this skepticism demanded not simply technical excellence but additionally a dedication to constructing relationships and demonstrating constant worth.
Technical challenges had been equally demanding. The variety of speech patterns, accents, and medical terminologies throughout areas required refined language fashions. In India alone, we confronted the complexity of quite a few regional accents and native languages that wanted correct interpretation in a medical context. This problem was compounded by the excessive stakes of healthcare documentation, the place even small errors can have critical penalties.
Moreover, serving to clinicians transition from legacy techniques to AI-powered options required cautious change administration. Many healthcare professionals had been accustomed to conventional documentation strategies, and facilitating this transition meant creating intuitive interfaces and offering complete assist techniques.
Maybe essentially the most persistent problem has been balancing innovation with sensible implementation. Whereas growing cutting-edge AI capabilities, we have had to make sure our options stay accessible, inexpensive, and instantly helpful to healthcare suppliers throughout totally different financial contexts and useful resource settings.
How does Augnito tailor its AI options to totally different healthcare techniques, given the various regulatory and operational environments throughout nations?
Augnito approaches this problem by flexibility in each design and deployment. We have created options that may be carried out as cloud-based SaaS or on-premises installations, relying on regulatory necessities and institutional preferences. This adaptability is essential for navigating the various panorama of healthcare techniques globally.
For regulatory compliance, we keep rigorous information localization capabilities and implement sturdy safety measures together with encryption and entry controls. Our techniques are designed to stick to regional requirements like HIPAA, GDPR, ADHICS, and numerous different nationwide healthcare information safety rules, making certain affected person information stays safe no matter geography.
Linguistically, we have developed our expertise to assist over quite a few languages for dialog seize, making it really inclusive throughout numerous populations. This multilingual functionality is especially helpful in areas with a number of official languages or dialectal variations.
Integration flexibility is one other key facet of our strategy. We provide APIs, HL7 interoperability, and SDKs with each low-code and no-code choices, permitting seamless reference to present healthcare IT infrastructure. This implies Augnito can combine with any PACS/RIS/LIS/HIS/EMR system, together with main platforms like Epic, Intersystems, Cloud Options, Cerner, and extra, with out disrupting established workflows.
Our scientific specialization additional enhances adaptability. Augnito helps over 55 medical specialties, from Basic Drugs to Oncology and Radiology, every with its distinctive terminology and documentation necessities. This specialised strategy ensures our options are clinically related throughout totally different follow settings and healthcare supply fashions.
Lastly, our human-centric design philosophy guides customization efforts, enabling us to offer personalised help that helps clinicians and enterprises undertake and combine our expertise with out altering their present workflows. This detailed consideration to person expertise has been essential to our profitable adaptation to numerous healthcare environments worldwide.
Omni is positioned as a groundbreaking AI platform for scientific documentation. How does it differ from conventional speech-to-text options?
Omni represents a elementary evolution past conventional speech-to-text expertise. Whereas standard options merely convert spoken phrases to written textual content, Omni leverages Ambient Medical Intelligence and Generative AI to create a complete, context-aware system that serves as an intuitive scientific accomplice somewhat than a mere transcription software.
The primary key distinction is Omni’s capacity to seize and transcribe pure scientific conversations in a number of languages in real-time. Not like conventional options that require structured dictation, Omni can interpret pure dialogue between suppliers and sufferers, eliminating the necessity for clinicians to switch their communication type or keep in mind particular instructions.
Extra importantly, Omni would not merely file interactions—it contextualizes them. The system intelligently constructions info into applicable scientific classes, making it EMR-ready and even assigning scientific codes mechanically. This represents a shift from reactive to agentic AI—techniques able to proactive, goal-oriented reasoning somewhat than merely responding to instructions.
One other important distinction is Omni’s refined Medical Documentation Integrity (CDI) capabilities and automated code retrieval for ICD 10, SNOMED, or SBS codes. These options not solely save time but additionally enhance billing accuracy and cut back declare denials, straight impacting healthcare organizations’ monetary efficiency.
The influence on scientific workflows is substantial, with docs saving a mean of two+ hours per day and experiencing a 60% discount in documentation time. This effectivity achieve addresses the burnout epidemic amongst healthcare professionals whereas concurrently bettering documentation high quality.
Maybe most significantly, Omni embodies our philosophy that transformative expertise ought to function silently within the background, enhancing care with out intrusion. The system adapts to particular person clinician preferences, providing unmatched
customization whereas sustaining compliance with world well being requirements—making it really omnipresent but invisible within the scientific atmosphere.
AI in healthcare is usually met with skepticism relating to accuracy and safety. How does Augnito guarantee excessive accuracy (99%) and compliance with world information privateness rules?
Reaching and sustaining our 99% accuracy charge begins with our refined Machine Studying algorithms and Pure Language Understanding capabilities that permit exact interpretation of medical terminology throughout over 50 specialties and sub specialties. This accuracy is obtainable instantly upon implementation—no voice coaching required, which is a major benefit over many competing options.
Our expertise incorporates your complete language of drugs, eliminating spelling errors whereas precisely deciphering numerous accents of spoken English. That is significantly essential in numerous healthcare environments the place practitioners come from totally different linguistic backgrounds.
For information safety and privateness compliance, we make use of a multi-layered strategy. We implement sturdy encryption strategies to guard affected person information throughout each transmission and storage, making certain the very best stage of safety. Our techniques implement stringent entry controls that limit affected person information entry to approved personnel solely.
We keep complete audit trails that file all actions associated to affected person medical file entry and modification, creating accountability and transparency all through the system. This detailed monitoring functionality is important for compliance with rules like HIPAA, which may impose hefty fines for violations.
Our versatile deployment choices additional improve safety compliance. Whether or not shoppers choose cloud-based SaaS or on-premises set up, we guarantee industry-standard compliance and information localization in line with regional necessities. This adaptability is essential for navigating the advanced world panorama of healthcare information rules.
The inspiration of our strategy to each accuracy and safety is our 20+ years of expertise in healthcare documentation. This intensive background provides us a deep understanding of each scientific language nuances and the strict compliance necessities that govern protected well being info—insights which have been included into each facet of our expertise.
Are you able to clarify how Augnito’s AI improves scientific workflows whereas decreasing doctor burnout?
Augnito’s AI straight addresses the documentation burden that contributes considerably to doctor burnout—a essential difficulty affecting 63% of clinicians globally. By automating and streamlining documentation processes, our options create a number of workflow enhancements that collectively cut back stress and enhance effectivity.
The rapid influence comes from time financial savings—our options can save clinicians up to 3 hours per day on documentation duties. In our case research with Apollo Hospitals, physicians saved a powerful 44 hours every month, representing time reclaimed for affected person care or private well-being. This interprets to a 46% improve in general productiveness and a 60% discount in documentation time. All in simply 6 months.
Our Voice AI expertise makes scientific documentation 4 instances sooner than conventional strategies with 99% accuracy instantly upon implementation. This eliminates the frustration of correcting errors or repeating documentation duties, frequent sources of office stress.
Augnito Spectra’s dynamic templates system and personalization options like customized vocabularies and macros additional streamline workflows. Clinicians can add predefined templates for numerous scientific be aware sorts and management all the pieces by intuitive voice instructions, eliminating repetitive typing duties.
Omni AI Scribe takes this additional by permitting physicians to focus fully on their sufferers throughout consultations whereas AI handles documentation mechanically. This allows docs to take care of eye contact and have interaction extra meaningfully with sufferers as an alternative of dividing consideration between the affected person and the pc display.
Past time financial savings, our options enhance documentation high quality and cut back declare rejections. This eliminates the executive complications related to resubmitting claims or correcting documentation errors—one other supply {of professional} frustration.
The ROI extends past scientific satisfaction. Organizations utilizing our options have achieved a 21-fold return on funding inside simply six months, demonstrating that addressing burnout by AI-powered documentation additionally makes monetary sense for healthcare establishments.
What function does Augnito’s AI play in enhancing doctor-patient interactions somewhat than changing human decision-making?
I’ve at all times maintained that Augnito’s options are designed to enhance and empower clinicians, not exchange their experience in any respect. Our expertise operates on the precept that transformative healthcare expertise ought to operate silently in the background, enhancing care with out intrusion.
Essentially the most rapid influence on doctor-patient interactions comes from liberating clinicians from documentation burdens throughout consultations. With Omni AI Scribe, docs can keep eye contact and have interaction extra meaningfully with sufferers as an alternative of typing notes through the encounter. This restores the sanctity of patient-provider interactions—a nurse can concurrently monitor a essential case and verbally replace data hands-free, exemplifying expertise that serves somewhat than disrupts.
We acknowledge that whereas AI excels at processing huge quantities of information and figuring out patterns, the human components of healthcare—empathy, intuitive understanding, and sophisticated decision-making—stay irreplaceable. Our AI capabilities as a classy software in a doctor’s arsenal, very like how the stethoscope revolutionized medication in its time.
The longer term we envision is considered one of seamless collaboration between AI and healthcare professionals. Whereas our AI can transcribe and construction affected person conversations, analyze patterns, and recommend potential diagnoses, it is the doctor who contextualizes this info, makes ultimate selections, and supplies the human connection that sufferers want.
By dealing with routine administrative duties, our expertise permits clinicians to deal with their core competencies—diagnosing situations, growing remedy plans, and constructing therapeutic relationships with sufferers. In truth, physicians utilizing our options doubtlessly have time to see further sufferers or spend extra high quality time with every affected person.
Finally, our aim is to create expertise that makes healthcare extra environment friendly, correct, and human-centered—enhancing somewhat than changing the human intelligence and compassion on the coronary heart of drugs.
How does Augnito combine with present healthcare infrastructure like EMRs, and what are the most important interoperability challenges you’ve confronted?
Augnito has designed its integration strategy with flexibility and ease of implementation as core rules. As talked about beforehand, our options combine seamlessly with any PACS/RIS/LIS/HIS/EMR system, together with main platforms like
Epic, Intersystems, Cloud Options, Cerner, and extra. This versatility is essential in healthcare environments the place a number of legacy techniques typically coexist.
We have made integration technically easy by our APIs and SDKs, providing each low-code and no-code choices. This strategy minimizes disruption to present workflows and reduces implementation timelines. Healthcare organizations can select between cloud-based SaaS or on-premises set up fashions based mostly on their infrastructure necessities and safety insurance policies.
Regardless of these capabilities, interoperability stays considered one of healthcare’s most persistent challenges. Essentially the most important hurdle we have encountered is information change between totally different Hospital Data or Medical Report techniques. The fragmentation of healthcare information throughout disparate techniques typically prevents the creation of complete affected person histories.
One other interoperability problem includes standardization—or lack thereof—throughout healthcare techniques. Completely different organizations typically use various terminology, information constructions, and documentation codecs, complicating seamless info change. Our techniques should be adaptable sufficient to accommodate these variations whereas sustaining constant accuracy and efficiency.
To deal with these challenges, we have developed a human-centric strategy to implementation and integration. We offer personalised help to assist clinicians and enterprises undertake and combine our expertise with out altering their present workflows. This detail-oriented buyer success strategy has been instrumental in overcoming interoperability obstacles and facilitating profitable deployments.
With rising competitors in AI-powered medical documentation, how does Augnito differentiate itself from different AI-driven healthcare options?
Augnito stands aside by a number of key differentiators, a few of which I’ve already touched on, that collectively create distinctive worth for healthcare organizations. First, our proprietary high-quality scientific speech recognition and pure language understanding expertise achieves 99% accuracy out-of-box, with out requiring voice coaching. This rapid accuracy eliminates the irritating “coaching interval” frequent with many competing options.
Our deep healthcare experience units us aside—with over 20 years of expertise in scientific documentation and shut partnerships with the NHS and different world healthcare leaders. This area data is embedded in our options, which assist over 55 scientific specialties from Basic Drugs to Oncology and Radiology.
Our expertise is particularly designed to grasp numerous accents and language patterns. We have developed techniques that may precisely decipher any accent of spoken English and seize scientific conversations in a number of languages. This linguistic flexibility is especially helpful in numerous healthcare environments.
We additionally differentiate by our human-centric design philosophy, which permeates all the pieces from product growth to buyer assist. Our techniques are co-designed with physicians to make them extraordinarily intuitive to make use of. We offer personalised help to assist clinicians and enterprises undertake our expertise with out disrupting present workflows.
The measurable influence of our options supplies compelling differentiation. Organizations utilizing Augnito have achieved a 21-fold return on funding inside six months. In our case research with Apollo Hospitals, we documented a 46% improve in general productiveness and physicians saving 44 hours month-to-month.
Maybe most distinctively, our imaginative and prescient extends past mere documentation to creating really agentic AI—techniques able to proactive, goal-oriented reasoning. Not like standard instruments that merely reply to instructions, our expertise contextualizes information, identifies essential insights, and anticipates clinician wants, functioning as an intuitive accomplice somewhat than a passive software.
Lastly, we keep a dedication to steady innovation, with ongoing R&D investments continuously bettering person expertise. This forward-looking strategy ensures our options evolve alongside healthcare wants and technological capabilities.
There’s rising debate in regards to the function of AI in medication. How do you see AI evolving in healthcare over the subsequent 5-10 years?
I consider we’re on the threshold of a profound transformation in healthcare, with AI evolving from remoted functions to complete ecosystems that influence each facet of drugs. The worldwide healthcare AI market is projected to achieve $188 billion by 2030, reflecting this extraordinary progress trajectory.
Within the close to time period, we’ll see AI revolutionizing diagnostic capabilities, with techniques changing into more and more refined in analyzing medical photos and detecting situations earlier. By 2025, Gartner predicts that 30% of recent medicine will probably be found utilizing generative AI, slashing the standard 10–15-year drug growth timeline. The world GenAI healthcare market particularly is projected to develop from $1.96 billion in 2024 to $39.68 billion by 2034—a outstanding 35.1% CAGR.
I anticipate a elementary shift in how AI is perceived inside healthcare organizations. Somewhat than viewing AI options as software program merchandise, establishments will more and more see them as “AI employees” important group members that deal with particular capabilities alongside human professionals. This attitude shift is important as a result of it means AI will disrupt not simply the enterprise software program market (valued in tens of billions) however the companies market (valued in trillions).
The subsequent evolution will probably be towards agentic AI—techniques able to proactive, goal-oriented reasoning with contextual continuity, predictive company, and applicable moral boundaries. In power care administration, for instance, agentic AI built-in with wearable units might present personalised voice check-ins analyzing glucose tendencies, dietary patterns, and train motivation ranges.
Healthcare organizations are already prioritizing AI implementation, with 45% of healthcare operations leaders contemplating it a high precedence for enhancing effectivity. This momentum will speed up as AI demonstrates tangible advantages like 30% shorter hospital stays, 60% increased affected person satisfaction, and billions in value financial savings.
The last word evolution, nonetheless, will not be measured in market dimension however in reworked human connections: clinicians freed to heal, sufferers empowered to thrive, and expertise that silently elevates each. Essentially the most profitable AI implementations will stability effectivity with empathy, creating healthcare techniques that aren’t simply technologically superior however essentially extra humane.
Thanks for the good interview, readers who want to study extra ought to go to Augnito.
