Rustom Lawyer is the Co-Founder and CEO of Augnito, an organization constructed on a long time of expertise in scientific workflows and healthcare know-how. With a deep understanding of world healthcare methods and governance, he has been instrumental in creating revolutionary options that streamline scientific 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 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My journey in healthcare know-how started after I co-founded Scribetech within the UK at 19 years outdated. This early enterprise grew to become a pioneer in scientific transcription companies for the Nationwide Well being Service (NHS), laying the vital basis for what would ultimately turn out to be 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 scientific workflows throughout numerous specialties.
These almost twenty years of expertise revealed a basic fact: 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 best requirements of accuracy and compliance.
The NHS expertise additionally instilled in us a deep appreciation for the significance of knowledge safety, interoperability, and scalable options that would work throughout completely different healthcare environments. These ideas stay central to Augnito’s growth philosophy right this moment.
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 development flattening because of rising automation calls for throughout the healthcare {industry}. Quite than resist this inevitable transition, we determined to disrupt our personal enterprise mannequin by investing earnings into creating what would turn out to be Augnito.
A vital perception drove this choice: we found that medical doctors 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—beneficial time that might 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 device for our transcription enterprise developed right into a complete answer that would rework scientific workflows solely. The shift from transcription companies to AI-driven voice options represented not only a technological improve however a basic reimagining of how scientific documentation may work— emphasizing velocity, accuracy, and seamless integration with present healthcare methods.
What have been among the greatest challenges in scaling Augnito from an India-based startup to a globally acknowledged AI firm?
Scaling Augnito globally introduced a number of important challenges. Firstly was guaranteeing information interoperability throughout vastly completely different healthcare methods. Healthcare infrastructure varies dramatically worldwide, with every nation sustaining distinctive regulatory frameworks and documentation requirements. Constructing know-how that would combine seamlessly with these numerous methods required in depth 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 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 range of speech patterns, accents, and medical terminologies throughout areas required subtle 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 methods 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 methods.
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, reasonably priced, and instantly beneficial to healthcare suppliers throughout completely different financial contexts and useful resource settings.
How does Augnito tailor its AI options to completely different healthcare methods, given the varied regulatory and operational environments throughout nations?
Augnito approaches this problem via 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 methods globally.
For regulatory compliance, we keep rigorous information localization capabilities and implement sturdy safety measures together with encryption and entry controls. Our methods are designed to stick to regional requirements like HIPAA, GDPR, ADHICS, and varied different nationwide healthcare information safety laws, guaranteeing affected person information 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 numerous populations. This multilingual functionality is especially beneficial 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 scientific specialization additional enhances adaptability. Augnito helps over 55 medical specialties, from Normal Drugs to Oncology and Radiology, every with its distinctive terminology and documentation necessities. This specialised method ensures our options are clinically related throughout completely different follow 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 person expertise has been vital 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 basic evolution past conventional speech-to-text know-how. Whereas typical 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 associate moderately than a mere transcription device.
The primary key distinction is Omni’s means 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 model or bear in mind particular instructions.
Extra importantly, Omni would not merely report interactions—it contextualizes them. The system intelligently constructions data into applicable scientific classes, making it EMR-ready and even assigning scientific codes robotically. This represents a shift from reactive to agentic AI—methods able to proactive, goal-oriented reasoning moderately than merely responding to instructions.
One other important distinction is Omni’s subtle Medical 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 cut back declare denials, immediately impacting healthcare organizations’ monetary efficiency.
The affect on scientific workflows is substantial, with medical doctors saving a median 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 world well being requirements—making it actually omnipresent but invisible within the scientific atmosphere.
AI in healthcare is commonly met with skepticism concerning accuracy and safety. How does Augnito guarantee excessive accuracy (99%) and compliance with world information privateness laws?
Attaining and sustaining our 99% accuracy price begins with our subtle 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 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 numerous healthcare environments the place practitioners come from completely different linguistic backgrounds.
For information safety and privateness compliance, we make use of a multi-layered method. We implement sturdy encryption strategies to guard affected person information throughout each transmission and storage, guaranteeing the best degree of safety. Our methods implement stringent entry controls that prohibit affected person information entry to licensed personnel solely.
We keep complete audit trails that report all actions associated to affected person medical report entry and modification, creating accountability and transparency all through the system. This detailed monitoring functionality is important for compliance with laws like HIPAA, which might impose hefty fines for violations.
Our versatile deployment choices additional improve safety compliance. Whether or not shoppers want cloud-based SaaS or on-premises set up, we guarantee industry-standard compliance and information localization based on regional necessities. This adaptability is essential for navigating the complicated world panorama of healthcare information laws.
The inspiration of our method to each accuracy and safety is our 20+ years of expertise in healthcare documentation. This in depth background provides us a deep understanding of each scientific language nuances and the strict compliance necessities that govern protected well being data—insights which were included into each side of our know-how.
Are you able to clarify how Augnito’s AI improves scientific workflows whereas lowering doctor burnout?
Augnito’s AI immediately addresses the documentation burden that contributes considerably to doctor burnout—a vital concern 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 affect comes from time financial savings—our options can save clinicians up to a few hours per day on documentation duties. In our case examine with Apollo Hospitals, physicians saved a formidable 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 scientific documentation 4 instances quicker 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 varied scientific word varieties and management the whole lot via intuitive voice instructions, eliminating repetitive typing duties.
Omni AI Scribe takes this additional by permitting physicians to focus solely on their sufferers throughout consultations whereas AI handles documentation robotically. This allows medical doctors to keep up 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 via AI-powered documentation additionally makes monetary sense for healthcare establishments.
What function does Augnito’s AI play in enhancing doctor-patient interactions moderately than changing human decision-making?
I’ve at all times maintained that Augnito’s options are designed to reinforce and empower clinicians, not change their experience in any respect. 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 rapid affect on doctor-patient interactions comes from liberating clinicians from documentation burdens throughout consultations. With Omni AI Scribe, medical doctors can keep eye contact and have interaction 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 vital case and verbally replace information hands-free, exemplifying know-how that serves moderately than disrupts.
We acknowledge that whereas AI excels at processing huge quantities of knowledge and figuring out patterns, the human components of healthcare—empathy, intuitive understanding, and complicated decision-making—stay irreplaceable. Our AI features as a complicated device in a doctor’s arsenal, very similar to how the stethoscope revolutionized drugs in its time.
The long run we envision is certainly one of seamless collaboration between AI and healthcare professionals. Whereas our AI can transcribe and construction affected person conversations, analyze patterns, and counsel potential diagnoses, it is the doctor who contextualizes this data, makes closing choices, and offers the human connection that sufferers want.
By dealing with routine administrative duties, our know-how permits clinicians to concentrate on their core competencies—diagnosing circumstances, creating therapy plans, and constructing therapeutic relationships with sufferers. In truth, physicians utilizing our options probably have time to see extra sufferers or spend extra high quality time with every affected person.
Finally, our objective is to create know-how that makes healthcare extra environment friendly, correct, and human-centered—enhancing moderately 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 vital in healthcare environments the place a number of legacy methods typically coexist.
We have made integration technically easy via 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 based mostly on their infrastructure necessities and safety insurance policies.
Regardless of these capabilities, interoperability stays certainly one of healthcare’s most persistent challenges. Essentially the most important hurdle we have encountered is information trade between completely different Hospital Info or Medical Document methods. The fragmentation of healthcare information throughout disparate methods typically prevents the creation of complete affected person histories.
One other interoperability problem entails standardization—or lack thereof—throughout healthcare methods. Completely different organizations typically use various terminology, information constructions, and documentation codecs, complicating seamless data trade. Our methods 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 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 rising competitors in AI-powered medical documentation, how does Augnito differentiate itself from different AI-driven healthcare options?
Augnito stands aside via 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 know-how 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 twenty years of expertise in scientific documentation and shut partnerships with the NHS and different world healthcare leaders. This area information is embedded in our options, which help over 55 scientific specialties from Normal Drugs to Oncology and Radiology.
Our know-how is particularly designed to grasp numerous accents and language patterns. We have developed methods that may precisely decipher any accent of spoken English and seize scientific conversations in a number of languages. This linguistic flexibility is especially beneficial in numerous healthcare environments.
We additionally differentiate via our human-centric design philosophy, which permeates the whole lot from product growth to buyer help. Our methods 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 affect of our options offers compelling differentiation. Organizations utilizing Augnito have achieved a 21-fold return on funding inside six months. In our case examine 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—methods able to proactive, goal-oriented reasoning. Not like typical instruments that merely reply to instructions, our know-how contextualizes information, identifies vital insights, and anticipates clinician wants, functioning as an intuitive associate moderately than a passive device.
Lastly, we keep a dedication to steady innovation, with ongoing R&D investments always enhancing person 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 drugs. 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 purposes to complete ecosystems that affect each side of medication. The worldwide healthcare AI market is projected to succeed in $188 billion by 2030, reflecting this extraordinary development trajectory.
Within the close to time period, we’ll see AI revolutionizing diagnostic capabilities, with methods changing into more and more subtle in analyzing medical photographs and detecting circumstances earlier. By 2025, Gartner predicts that 30% of latest medication can 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 exceptional 35.1% CAGR.
I anticipate a basic shift in how AI is perceived inside healthcare organizations. Quite than viewing AI options as software program merchandise, establishments will more and more see them as “AI workers” important crew members that deal with particular features 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 can be towards agentic AI—methods able to proactive, goal-oriented reasoning with contextual continuity, predictive company, and applicable moral boundaries. In continual care administration, for instance, agentic AI built-in with wearable gadgets may 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 prime 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 final word evolution, nonetheless, will not be measured in market measurement however in reworked 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 methods that aren’t simply technologically superior however essentially extra humane.
Thanks for the nice interview, readers who want to study extra ought to go to Augnito.