Whereas the world races to deploy AI scribes, a quiet revolution is taking form in India, one which listens earlier than it transcribes. Chennai-based Ekko believes the way forward for scientific AI might be constructed regionally, not imported.
Stroll into any outpatient clinic in Chennai, Coimbatore, or Kochi, and you will note a well-recognized scene. A health care provider, mid-consultation, glances down at a paper register or sorts furiously into an EHR whereas a affected person describes their signs. The eye contact is fleeting. The dialog is fragmented. And by night, the physician remains to be catching up on documentation she ought to have completed hours earlier.
That is the silent friction in Indian healthcare: not a scarcity of scientific information, however a scarcity of scientific consideration. And it’s this friction that ambient AI guarantees to dissolve.
Most ambient AI instruments out there right now weren’t designed with Indian clinicians in thoughts. They had been educated on American transcripts, optimised for fee-for-service billing workflows, and constructed round documentation conventions that bear little resemblance to how an Indian outpatient division truly runs.
That hole between imported expertise and indigenous actuality is precisely what Ekko was constructed to shut.
A Completely different Beginning Level
Most AI scribe merchandise begin with a query: how can we automate documentation? Ekko began with a unique one: What does an Indian clinician really need from AI?The solutions, gathered throughout lots of of conversations with common physicians, specialists, and hospital directors throughout India, had been hanging. Clinicians didn’t ask for quicker transcription. They requested for fewer interruptions. They didn’t need longer notes. They needed cleaner affected person histories. They weren’t impressed by language fashions. They had been impressed by instruments that revered their time and their judgment.
This perception formed Ekko from the floor up. The place different platforms focus narrowly on word technology, Ekko constructed an end-to-end scientific documentation companion able to capturing the dialog, structuring vitals and lab outcomes, sustaining longitudinal affected person historical past, and surfacing related context when the clinician wants it.
That readability of function didn’t emerge from a boardroom. It got here from the clinic. Ekko was based by Dr. Gerrit Jacob, a doctor who had spent years watching colleagues lose treasured session time to the calls for of documentation. His mission was by no means summary: give docs their time again. What made the transition from downside to platform unusually quick was a uncommon convergence. Dr. Jacob mixed a clinician’s perception into real-world healthcare bottlenecks with a deep ardour for expertise and years of immersion in Silicon Valley. What he took away from Silicon Valley was not a playbook however a self-discipline: that constructing something begins with a well-defined downside and the individuals who can clear up it. Ekko was the product that developed from that self-discipline.
Designed for Indian Medical Actuality
Indian outpatient care has its personal rhythm. A senior guide may even see 60 sufferers in a single session. Research throughout authorities hospital OPDs doc common a great deal of 40 to 60 sufferers per doctor per day, with sure specialties exceeding 200.[1] A number of languages could also be spoken in a single session: Tamil and English, Hindi and English, Malayalam and English. Affected person recordsdata journey in bodily folders, on WhatsApp, and throughout a number of hospital programs. Lab outcomes arrive as PDFs, images, and printed sheets.Ambient AI constructed elsewhere struggles with this complexity. Ekko was designed for it.
The platform is engineered to deal with code-switching between English and Indian languages, to ingest vitals and lab information from disparate sources, and to take care of a coherent medical historical past throughout visits, even when the underlying data are fragmented. For clinicians, the expertise is deliberately minimal. The expertise recedes into the background. The dialog with the affected person returns to the foreground.
The Trust Equation
What separates a instrument clinicians tolerate from one they belief? In conversations with practising docs, three themes recur.
The first is transparency. AI that operates as a black field invitations doubt; AI that reveals its reasoning invitations possession. Ekko’s outputs are structured for speedy clinician overview, designed to be corrected in seconds, with the physician at all times in management of what enters the file.
The second is respect for scientific workflow. Software program that calls for the physician adapt to it will likely be deserted by week two. Ekko was constructed to fit into present workflows, not substitute them.
The third, and maybe most necessary, is native fluency. A platform that understands the cadence of Indian scientific care, the linguistic variety of Indian sufferers, and the operational realities of Indian healthcare will at all times have an edge over one engineered elsewhere.
Why This Second Issues
India is at an inflection level in digital well being. The Ayushman Bharat Digital Mission (ABDM), which had linked over 490 million well being data to ABHA IDs as of early 2025, is constructing the rails for nationwide well being information interoperability.[2] Medical workforce shortages stay acute, and India continues to fall in need of the WHO-recommended doctor-to-population ratio of 1:1000, with important urban-rural maldistribution compounding the pressure,[3] pushing hospitals to hunt productiveness positive aspects wherever they will. And sufferers, more and more digital natives, anticipate a extra attentive, fashionable care expertise.
Ambient AI is not a futuristic idea. It’s an energetic infrastructure. By the shut of 2025, almost two-thirds of U.S. hospitals on Epic EHR programs had been already utilising ambient AI documentation instruments, with research displaying reductions in documentation time of as much as 16 minutes per encounter.[4] India’s adoption curve is simply starting. And the query is not whether or not Indian clinicians will undertake it; it’s whose product they are going to undertake.
Ekko’s guess is easy. The clinicians who will outline the subsequent decade of Indian healthcare need AI that was constructed with them, not for them. They need a accomplice that listens earlier than it speaks, that adapts to their workflow relatively than disrupting it, and that earns belief by getting the small issues proper, go to after go to, affected person after affected person.
The belief equation in healthcare AI just isn’t solved by greater fashions or louder advertising and marketing. It’s solved by listening. And that, maybe, is the most scientific factor of all.
Ekko is an Ambient-AI powered scientific documentation platform headquartered in Chennai, India. The firm companions with hospitals and impartial clinicians throughout India to scale back documentation burden, enhance affected person interplay high quality, and preserve complete longitudinal affected person data.
MEDIA CONTACT
E-mail: information@ekkomd.com
Telephone: +91 95009 95295
Workplace: 70A, New. 116B, Vellalar Road, Mogappair, Chennai 600037
Net: www.ekkomd.com
REFERENCES
[1] Patel et al., “Affected person-doctor ratio throughout 9 tremendous speciality clinics in authorities hospital,” Worldwide Journal of Neighborhood Medication and Public Well being — ijcmph.com
[2] Ministry of Well being and Household Welfare, GOI, “Replace on Ayushman Bharat Digital Mission,” February 2025 — mohfw.gov.in
[3] Sriram et al., “Human useful resource scarcity in India’s well being sector: a scoping overview,” PMC / NCBI, 2024 —pmc.ncbi.nlm.nih.gov
[4] Tierney et al., “Ambient AI Software Adoption in US Hospitals and Related Elements,” American Journal of Managed Care (AJMC), 2025 — ajmc.com
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