Rustom Lawyer is the Co-Founder and CEO of Augnito, an organization constructed on many years of expertise in medical workflows and healthcare know-how. With a deep understanding of world healthcare programs and governance, he has been instrumental in creating progressive options that streamline medical documentation and improve operational effectivity. His experience in healthcare integrations has formed Augnito’s mission to remodel how clinicians work together with know-how, enhancing accuracy and workflow automation.
Augnito is a number one supplier of Voice AI options for Scientific Documentation and Ambient Scientific 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 medical transcription with the NHS form your imaginative and prescient for Augnito?
My journey in healthcare know-how started after I co-founded Scribetech within the UK at 19 years outdated. This early enterprise turned a pioneer in medical transcription companies for the Nationwide Well being Service (NHS), laying the crucial basis for what would ultimately develop into Augnito.
Working with the NHS offered invaluable insights into healthcare documentation challenges on an enormous 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 medical workflows throughout various specialties.
These practically twenty years of expertise revealed a basic 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 in the end formed Augnito’s core mission—to create know-how 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 ideas stay central to Augnito’s growth philosophy right now.
Augnito was born out of a pivot from transcription companies to AI-driven voice options. What had been the important thing elements that led to this strategic shift?
This strategic pivot emerged from a number of converging elements. First, about 9 years in the past, we noticed our BPO income progress flattening as a consequence of growing automation calls for throughout the healthcare {industry}. Moderately than resist this inevitable transition, we determined to disrupt our personal enterprise mannequin by investing income into creating what would develop into Augnito.
A crucial perception drove this resolution: 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—priceless time that could possibly 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 obtainable once we began Scribetech. We acknowledged a chance to leverage these applied sciences to deal with the acute ache level of inefficient medical documentation and interoperability challenges.
What started as an effectivity software for our transcription enterprise developed right into a complete resolution that might remodel medical workflows totally. The shift from transcription companies to AI-driven voice options represented not only a technological improve however a basic reimagining of how medical documentation might work— emphasizing pace, accuracy, and seamless integration with present healthcare programs.
What have been a few of the largest challenges in scaling Augnito from an India-based startup to a globally acknowledged AI firm?
Scaling Augnito globally offered a number of important challenges. Firstly was making certain knowledge interoperability throughout vastly totally different healthcare programs. Healthcare infrastructure varies dramatically worldwide, with every nation sustaining distinctive regulatory frameworks and documentation requirements. Constructing know-how that might combine seamlessly with these various programs required in depth analysis and growth.
One other main hurdle was gaining belief from healthcare professionals. Medication is understandably conservative when adopting new applied sciences, particularly AI options that deal with delicate affected person data. Overcoming this skepticism demanded not simply technical excellence but in addition 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 programs 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 help programs.
Maybe probably the most persistent problem has been balancing innovation with sensible implementation. Whereas creating cutting-edge AI capabilities, we have had to make sure our options stay accessible, inexpensive, and instantly priceless to healthcare suppliers throughout totally different financial contexts and useful resource settings.
How does Augnito tailor its AI options to totally different healthcare programs, given the varied regulatory and operational environments throughout international locations?
Augnito approaches this problem by flexibility in each design and deployment. We have created options that may be applied as cloud-based SaaS or on-premises installations, relying on regulatory necessities and institutional preferences. This adaptability is essential for navigating the varied panorama of healthcare programs globally.
For regulatory compliance, we keep rigorous knowledge localization capabilities and implement sturdy safety measures together with encryption and entry controls. Our programs are designed to stick to regional requirements like HIPAA, GDPR, ADHICS, and varied different nationwide healthcare knowledge safety laws, making certain affected person knowledge stays safe no matter geography.
Linguistically, we have developed our know-how to help over quite a few languages for dialog seize, making it actually inclusive throughout various populations. This multilingual functionality is especially priceless in areas with a number of official languages or dialectal variations.
Integration flexibility is one other key side of our method. 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 medical specialization additional enhances adaptability. Augnito helps over 55 medical specialties, from Normal Medication to Oncology and Radiology, every with its distinctive terminology and documentation necessities. This specialised method ensures our options are clinically related throughout totally different apply settings and healthcare supply fashions.
Lastly, our human-centric design philosophy guides customization efforts, enabling us to offer customized help that helps clinicians and enterprises undertake and combine our know-how with out altering their present workflows. This detailed consideration to consumer expertise has been crucial to our profitable adaptation to various healthcare environments worldwide.
Omni is positioned as a groundbreaking AI platform for medical documentation. How does it differ from conventional speech-to-text options?
Omni represents a basic evolution past conventional speech-to-text know-how. Whereas typical options merely convert spoken phrases to written textual content, Omni leverages Ambient Scientific Intelligence and Generative AI to create a complete, context-aware system that serves as an intuitive medical companion relatively than a mere transcription software.
The primary key distinction is Omni’s skill to seize and transcribe pure medical conversations in a number of languages in real-time. In contrast to conventional options that require structured dictation, Omni can interpret pure dialogue between suppliers and sufferers, eliminating the necessity for clinicians to switch their communication model or bear in mind particular instructions.
Extra importantly, Omni would not merely document interactions—it contextualizes them. The system intelligently buildings data into acceptable medical classes, making it EMR-ready and even assigning medical codes mechanically. This represents a shift from reactive to agentic AI—programs able to proactive, goal-oriented reasoning relatively than merely responding to instructions.
One other important distinction is Omni’s refined Scientific Documentation Integrity (CDI) capabilities and computerized code retrieval for ICD 10, SNOMED, or SBS codes. These options not solely save time but in addition enhance billing accuracy and scale back declare denials, instantly impacting healthcare organizations’ monetary efficiency.
The impression on medical workflows is substantial, with docs saving a mean of two+ hours per day and experiencing a 60% discount in documentation time. This effectivity acquire addresses the burnout epidemic amongst healthcare professionals whereas concurrently enhancing documentation high quality.
Maybe most significantly, Omni embodies our philosophy that transformative know-how 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 international well being requirements—making it actually omnipresent but invisible within the medical surroundings.
AI in healthcare is commonly met with skepticism concerning accuracy and safety. How does Augnito guarantee excessive accuracy (99%) and compliance with international knowledge privateness laws?
Attaining 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 out there instantly upon implementation—no voice coaching required, which is a big benefit over many competing options.
Our know-how incorporates the complete language of medication, eliminating spelling errors whereas precisely deciphering varied accents of spoken English. That is notably necessary in various healthcare environments the place practitioners come from totally different linguistic backgrounds.
For knowledge safety and privateness compliance, we make use of a multi-layered method. We implement sturdy encryption methods to guard affected person knowledge throughout each transmission and storage, making certain the very best degree of safety. Our programs implement stringent entry controls that limit affected person knowledge entry to licensed personnel solely.
We keep complete audit trails that document all actions associated to affected person medical document entry and modification, creating accountability and transparency all through the system. This detailed monitoring functionality is crucial for compliance with laws like HIPAA, which may impose hefty fines for violations.
Our versatile deployment choices additional improve safety compliance. Whether or not purchasers want cloud-based SaaS or on-premises set up, we guarantee industry-standard compliance and knowledge localization in line with regional necessities. This adaptability is essential for navigating the complicated international panorama of healthcare knowledge laws.
The inspiration of our method to each accuracy and safety is our 20+ years of expertise in healthcare documentation. This in depth background offers us a deep understanding of each medical language nuances and the strict compliance necessities that govern protected well being data—insights which were integrated into each side of our know-how.
Are you able to clarify how Augnito’s AI improves medical workflows whereas decreasing doctor burnout?
Augnito’s AI instantly addresses the documentation burden that contributes considerably to doctor burnout—a crucial challenge affecting 63% of clinicians globally. By automating and streamlining documentation processes, our options create a number of workflow enhancements that collectively scale back stress and enhance effectivity.
The fast impression comes from time financial savings—our options can save clinicians up to a few 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% enhance in general productiveness and a 60% discount in documentation time. All in simply 6 months.
Our Voice AI know-how makes medical documentation 4 instances quicker than conventional strategies with 99% accuracy instantly upon implementation. This eliminates the frustration of correcting errors or repeating documentation duties, widespread 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 varied medical be aware varieties and management every thing by intuitive voice instructions, eliminating repetitive typing duties.
Omni AI Scribe takes this additional by permitting physicians to focus totally on their sufferers throughout consultations whereas AI handles documentation mechanically. This permits docs to take care of eye contact and interact 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 scale 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 medical 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 relatively than changing human decision-making?
I’ve all the time maintained that Augnito’s options are designed to reinforce and empower clinicians, not change their experience by any means. Our know-how operates on the precept that transformative healthcare know-how ought to operate silently in the background, enhancing care with out intrusion.
Essentially the most fast impression on doctor-patient interactions comes from liberating clinicians from documentation burdens throughout consultations. With Omni AI Scribe, docs can keep eye contact and interact extra meaningfully with sufferers as an alternative of typing notes throughout the encounter. This restores the sanctity of patient-provider interactions—a nurse can concurrently monitor a crucial case and verbally replace data hands-free, exemplifying know-how that serves relatively 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 complicated 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 long run 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 data, makes closing selections, and offers the human connection that sufferers want.
By dealing with routine administrative duties, our know-how permits clinicians to give attention to their core competencies—diagnosing situations, creating therapy plans, and constructing therapeutic relationships with sufferers. In actual fact, physicians utilizing our options doubtlessly have time to see further sufferers or spend extra high quality time with every affected person.
Finally, our purpose is to create know-how that makes healthcare extra environment friendly, correct, and human-centered—enhancing relatively than changing the human intelligence and compassion on the coronary heart of medication.
How does Augnito combine with present healthcare infrastructure like EMRs, and what are the largest interoperability challenges you’ve confronted?
Augnito has designed its integration method with flexibility and ease of implementation as core ideas. 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 crucial in healthcare environments the place a number of legacy programs usually coexist.
We have made integration technically simple by our APIs and SDKs, providing each low-code and no-code choices. This method minimizes disruption to present workflows and reduces implementation timelines. Healthcare organizations can select between cloud-based SaaS or on-premises set up fashions primarily based 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 knowledge alternate between totally different Hospital Info or Medical File programs. The fragmentation of healthcare knowledge throughout disparate programs usually prevents the creation of complete affected person histories.
One other interoperability problem entails standardization—or lack thereof—throughout healthcare programs. Completely different organizations usually use various terminology, knowledge buildings, and documentation codecs, complicating seamless data alternate. Our programs have to be adaptable sufficient to accommodate these variations whereas sustaining constant accuracy and efficiency.
To deal with these challenges, we have developed a human-centric method to implementation and integration. We offer customized help to assist clinicians and enterprises undertake and combine our know-how with out altering their present workflows. This detail-oriented buyer success method has been instrumental in overcoming interoperability obstacles and facilitating profitable deployments.
With growing 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 medical speech recognition and pure language understanding know-how achieves 99% accuracy out-of-box, with out requiring voice coaching. This fast accuracy eliminates the irritating “coaching interval” widespread with many competing options.
Our deep healthcare experience units us aside—with over twenty years of expertise in medical documentation and shut partnerships with the NHS and different international healthcare leaders. This area data is embedded in our options, which help over 55 medical specialties from Normal Medication to Oncology and Radiology.
Our know-how is particularly designed to know various accents and language patterns. We have developed programs that may precisely decipher any accent of spoken English and seize medical conversations in a number of languages. This linguistic flexibility is especially priceless in various healthcare environments.
We additionally differentiate by our human-centric design philosophy, which permeates every thing from product growth to buyer help. Our programs are co-designed with physicians to make them extraordinarily intuitive to make use of. We offer customized help to assist clinicians and enterprises undertake our know-how with out disrupting present workflows.
The measurable impression of our options offers 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% enhance in general productiveness and physicians saving 44 hours month-to-month.
Maybe most distinctively, our imaginative and prescient extends past mere documentation to creating actually agentic AI—programs able to proactive, goal-oriented reasoning. In contrast to typical instruments that merely reply to instructions, our know-how contextualizes knowledge, identifies crucial insights, and anticipates clinician wants, functioning as an intuitive companion relatively than a passive software.
Lastly, we keep a dedication to steady innovation, with ongoing R&D investments continually enhancing consumer expertise. This forward-looking method ensures our options evolve alongside healthcare wants and technological capabilities.
There’s rising debate concerning 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 impression each side of medication. 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 programs changing into more and more refined in analyzing medical photographs and detecting situations earlier. By 2025, Gartner predicts that 30% of recent medication will probably be found utilizing generative AI, slashing the normal 10–15-year drug growth timeline. The international 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 basic shift in how AI is perceived inside healthcare organizations. Moderately than viewing AI options as software program merchandise, establishments will more and more see them as “AI employees” important crew members that deal with particular capabilities alongside human professionals. This attitude shift is critical 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—programs able to proactive, goal-oriented reasoning with contextual continuity, predictive company, and acceptable moral boundaries. In continual care administration, for instance, agentic AI built-in with wearable gadgets might present customized voice check-ins analyzing glucose traits, 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 reinforcing 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, nevertheless, will not be measured in market dimension however in remodeled human connections: clinicians freed to heal, sufferers empowered to thrive, and know-how that silently elevates each. Essentially the most profitable AI implementations will stability effectivity with empathy, creating healthcare programs 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.