Worldish

Worldish Worldish breaks language barriers in healthcare through its' digital communication tool called 'Helen'.

25/08/2026

It’s hard to assume that patients have a good level of medical literacy. Many patients do not understand the medical jargon used by doctors and nurses. 🏥

Medical information can be complex, making it difficult for the average patient to fully understand what is happening throughout their treatment journey and how they need to follow the treatment procedures and instructions given by healthcare staff.

With Helen, we help facilitate better shared understanding between healthcare staff and patients by enabling communication not only through AI voice-to-voice translation and interpretation, but also through medically verified animations. 🤝

🎥 These animations help healthcare staff clearly communicate complicated medical instructions, procedures, and treatment plans to patients in a way that is easier to understand.

Here, you can see an example from a maternity care setting, where procedures such as CTG and lactate sampling are clearly communicated to patients with the aid of medically verified animations. 👩‍🍼

These animations have been developed in-house by the Worldish team and approved by our customer clinics and internal medical team, meaning they are certified for use in healthcare communication. ✅

So, Helen is not just an AI voice-to-voice interpreter.

It also integrates the ability to communicate through animations, further improving shared understanding between healthcare staff and patients. 💙

PatientCentredCare PatientEducation Worldish HelenAssistant

25/08/2026

It’s hard to assume that patients have a good level of medical literacy. Many patients do not understand the medical jargon used by doctors and nurses. 🏥

Medical information can be complex, making it difficult for the average patient to fully understand what is happening throughout their treatment journey and how they need to follow the treatment procedures and instructions given by healthcare staff.

With Helen, we help facilitate better shared understanding between healthcare staff and patients by enabling communication not only through AI voice-to-voice translation and interpretation, but also through medically verified animations. 🤝

🎥 These animations help healthcare staff clearly communicate complicated medical instructions, procedures, and treatment plans to patients in a way that is easier to understand.

Here, you can see an example from a maternity care setting, where procedures such as CTG and lactate sampling are clearly communicated to patients with the aid of medically verified animations. 👩‍🍼

These animations have been developed in-house by the Worldish team and approved by our customer clinics and internal medical team, meaning they are certified for use in healthcare communication. ✅

So, Helen is not just an AI voice-to-voice interpreter.

It also integrates the ability to communicate through animations, further improving shared understanding between healthcare staff and patients. 💙



Naveen Sasidharan Abhishek Jacob Linn Wenman Tahmina Bina Maroua Fellah Nidhin Sudhakaran Nithya Sobhan

21/08/2026

Facing language barriers, it's always difficult, especially in drop-in and emergency care situations. 🏥

Standard health declaration questions about allergies, previous medical history, and such can be time-consuming when a language barrier is in place.

And now, we don't have to worry about that with Helen's new Patient App.

Patients can scan a QR code while waiting in the waiting rooms of a primary care clinic, emergency care, or any drop-in clinic. They can fill in information about their medical background, history, and anamnesis in their own language before meeting the doctor.

Doctors receive a summary on their Helen tablets, summarized in their own language. This helps doctors and nurses review the information before meeting the patient.

So, time is saved, the quality of the care process is improved, and patient safety is enhanced. Clinicians can also save valuable consultation time, even when language barriers are involved, with Helen.

A simple step before the consultation that can make a real difference when care begins. 💙

qualityofcare aimedicalinterpreter mostaccurate

20/08/2026

Facing language barriers, it's always difficult, especially in drop-in and emergency care situations. 🏥

Standard health declaration questions about allergies, previous medical history, and such can be time-consuming when a language barrier is in place.

And now, we don't have to worry about that with Helen's new Patient App.

Patients can scan a QR code while waiting in the waiting rooms of a primary care clinic, emergency care, or any drop-in clinic. They can fill in information about their medical background, history, and anamnesis in their own language before meeting the doctor.

Doctors receive a summary on their Helen tablets, summarized in their own language. This helps doctors and nurses review the information before meeting the patient.

So, time is saved, the quality of the care process is improved, and patient safety is enhanced. Clinicians can also save valuable consultation time, even when language barriers are involved, with Helen.

A simple step before the consultation that can make a real difference when care begins. 💙



Naveen Sasidharan Abhishek Jacob Nidhin Sudhakaran Linn Wenman Tahmina Bina Maroua Fellah Nithya Sobhan

Everyone talks about the challenges facing healthcare today and how digitalization and AI could be the answer to many of...
13/08/2026

Everyone talks about the challenges facing healthcare today and how digitalization and AI could be the answer to many of those challenges. But what we at Worldish have realized is that whatever technology or products we bring into healthcare to improve efficiency, improve the lives of healthcare staff and patients, and reduce stress, they need to be validated in real-life healthcare environments. 🏥

Products that are tested and validated in laboratory environments do not necessarily work in real healthcare settings, which are often under immense pressure and constrained by many different factors. That is why, with Helen Assistant, we have continuously collected and validated feedback directly from healthcare staff throughout the development process. The innovation itself was developed together with healthcare, including Region Östergötland, Linköping University Hospital, Sahlgrenska University Hospital, and Västra Götalandsregionen in Gothenburg. 🤝

Through this close collaboration, we have always sought to understand the challenges connected to existing solutions for language barriers. Healthcare staff told us that there is a widespread lack of quality among interpreters used in healthcare, and that there is often no feedback mechanism to understand whether information has actually been communicated correctly by human interpreters. Human interpreters with medical competence are inevitable and will continue to play an important role, but high-quality interpretation is mandatory, and in many cases, the need is not being adequately met by existing suppliers. 🩺

At the same time, they told us that general AI tools were unreliable and could create huge risks to patient safety. What they wanted was a solution where qualified human interpreters with medical competence could work hand-in-hand with a medically trained and medically validated AI interpretation solution. That is the answer we brought to them with the Helen Assistant®, and they have welcomed it with open arms. 🤖🤝🧑‍⚕️

This has been our journey, and we believe it is an important lesson for every healthcare innovation. We hope that healthcare innovators everywhere will talk to their end users—healthcare staff, nurses, doctors, and support staff—very early in the development process. By doing so, you can develop products according to their real needs and create solutions that truly work in environments where they are needed most. 🌍💙



Naveen SasidharanNidhin SudhakaranLinn WenmanMaroua FellahAbhishek JacobTahmina Bina

🏥 We had a wonderful onboarding session last week with a new hospital joining our customer family. These are clicks wher...
11/08/2026

🏥 We had a wonderful onboarding session last week with a new hospital joining our customer family. These are clicks where our team member is explaining to the staff group how Helen can be used in their day-to-day work life, where they meet and serve patients who have language barriers.

The staff groups were amazingly impressed by Helen's capabilities, especially given that they have been subject to conditions where not enough qualified medical interpreters have been available to support them in their consultations, and have been using uncertified apps before.

The hospital management has taken a bold step to implement Helen Assistant, a proven, medically trained, medical-grade product, and facilitate increased patient safety and equal care for patient communities. 🩺🤝

Reducing inequalities in healthcare and facilitating better communication between healthcare staff and patients is our mission. And in that sense, this day was a true success and accomplishment of our dream. ❤️

🌍 Language barriers in healthcare is a global problem, and we are well set to eradicate this problem once and for all with our product, Helen Assistant.

Even with medical interpreters, Helen can be used, and qualified medical interpreters can seek support from Helen to translate medical jargon and complicated medical terms accurately and in simpler terms. Helen's abilities are truly amazing. ✨

It not only empowers doctors, nurses, and patients, but also medical interpreters to do their job even better.

Helen Assistant is not a replacement for human interpreters, but it is an empowerment tool for interpreters to do their job better with higher medical accuracy. 👩‍⚕️👨‍⚕️🤝



Abhishek Jacob Naveen Sasidharan Linn Wenman Tahmina Bina
Maroua Fellah Nidhin Sudhakaran Nithya

🌍 We have had a wonderful onboarding session at CHU Saint-Pierre / UMC Sint-Pieter, covering 42 different clinical depar...
05/08/2026

🌍 We have had a wonderful onboarding session at CHU Saint-Pierre / UMC Sint-Pieter, covering 42 different clinical departments and specialties.

The energy and ambience among the staff groups were amazing and extremely positive. Everyone was highly enthusiastic about adopting Helen Assistant, a proven, cutting-edge AI medical interpretation technology, to help solve language barriers in their day-to-day work.

🙏 A heartfelt thank you to the CHU Saint-Pierre management, and especially Philippe Vandenbergh, for your amazing support throughout the one-year pilot process we have had.

The collection of evidence related to improvements in quality of care and clinical safety was important to you and the management. This is a true role model for implementing a healthcare innovation that can improve the lives of both healthcare staff and patients.

A big thank you as well to Caroline De Voecht, Evelyn Vass, Léo Foucher, and the rest of the CHU Saint-Pierre management for the trust you have placed in us. 🤝

We look forward to continuing this amazing journey together and facilitating more and more options for you to deliver equal care in the context of language barriers in Brussels, the heart of Europe. 🇪🇺

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Naveen Sasidharan Abhishek Jacob Maroua Fellah Nidhin Sudhakaran Linn Wenman Tahmina Bina PariSanté Campus Regional utveckling - Region Östergötland Linköping Science Park

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