Express Healthcare

SRIT partners with Simbo.ai to provide voice-enabled patient care

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The partnership aims at transforming doctor-patient engagement and facilitate seamless Electronic Medical Records in less than 30 seconds

Simbo.ai has partnered with SRIT to augment the latter’s eHealth and mhealth solutions and enable them to deliver voice-based Electronic Medical Records (EMRs) documentation.

A flagship product of Simbo.ai – SimboAlpha – is a cloud-based application programming interface (API) platform. It is based on Artificial Neural Networks and is trained on over 10 million recordings, supporting native and all Indian-English accents.

Trained on international and Indian clinical terms, SimboAlpha’s prescription digitisation is highly accurate even in noisy environments, with 2.58 per cent Word Error Rate (WER) and 3.16 per cent Sentence Error Rate.

“We have integrated our solution with Simbo.ai as our AI partner for voice-enabled care. We have offered the application to some of our customers and buoyant of their feedback, we have plans to extend the synergy to all our clients as an integrated offering. This paces up our vision of automating and easing clinician-led care,” said Dr Madhu Nambiar, Chairman and MD, SRIT.

Adding to it, Baljit Singh, Co-founder and CEO, Simbo.ai, said, “SRIT will be taking SimboAlpha across India and other geographies providing us an opportunity to serve clinicians and patients and thus will enrich our Made-in-India product. SimboAlpha’s transformative technology will enable the healthcare stakeholders to disrupt the way clinicians approach patient documentation.”

Simbo uses in-house speech-to-text engine and advanced clinical NLU trained from over 10 million audio recordings. It is available as a cloud-based API so that it can plug in into any existing Healthcare Information System (HIS) or EMR software system.

SimboAlpha is designed to be compatible with both generic and speciality-specific EHR/HIS systems. As a smart digital assistant, SimboAlpha is aimed at freeing doctors from time-consuming EHR data entry and improving their interactions with patients.

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