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Augnito Enhancing
Clinician's Efficiency

Building Scribetech’s voice-based medical transcription tool Augnito

Curious to know more....

Why was there a need for Augnito?

In the landscape of clinical documentation services for the NHS, there was a distinct need for enhanced efficiency and accuracy. Traditional methods fell short, prompting the exploration of a transformative solution. The emergence of speech recognition, AI, and NLP technologies paved the way for Augnito, a voice-AI product. Yet, key questions remained: How could these technologies revolutionize documentation? Would Augnito deliver the expected improvements? The venture into digitizing clinical data raised concerns about potential challenges and their impact on care quality and resource management. Our goal was to address these complexities in the pursuit of innovation.

Project Tags : UX Research | System Thinking | Product Strategy | User Interface & Branding

Overview

Scribetech has been working with the National Health Service (NHS) in the UK for over 20 years, providing clinical documentation services through teams based in Manchester and Bangalore. The evolution of speech recognition tools and the emergence of AI and natural language processing (NLP) technologies presented an opportunity to build a voice-AI-based solution that could provide greater efficiency and accuracy at a competitive price.

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Aim

We aimed to make Augnito the product that enables effortless medical workflows via Automatic Speech Recognition and natural Language Processing.

Product's design process

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  1. Identifying Opportunity

  2. User-Centric Goal 

  3. Integrated Solutions

  4. Addressing Unique Challenges

5. Cost-Effective Alternatives

6. Ideal Use Case Identification

7. Iterative Design Process / High - fidelity prototype

8. Branding and UI

Identifying Opportunities:

Recognized the strength's of Scribetech's
extensive database of diverse accents.


One of the advantages for Scribetech was access to a large existing database of medical voice recordings, representing doctors from all over the world who had varying accents.
User Centric Goal:

Aimed to develop an accessible,
cost-effective medical dictation tool.


Existing products were prohibitively expensive for most doctors, hence the plan was to use this data to develop an accessible, error-free medical dictation tool.
Intergrated Solution:

Crafted an integrated
solution for Augnito 


In order to make Augnito as accessible as possible, we developed an integrated solution that required no additional hardware beyond what doctors might already be using.
Addressing Unique Challenges:

Inconsistency was recognized and
unique challenges were addressed.


Certain settings posed unique challenges for voice recording. For example, ENT exams tend to involve movement from one screening tool to another, sometimes to different rooms as well. This would potentially lead to inconsistent audio quality, assuming that the recording device was placed in a fixed position in the exam room
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Cost-Effective Alternatives:

Explored
alternatives for hardware


Explored alternatives to high-end portable headsets, aiming for cost-effectiveness and user convenience.
Intergrated Solution:

Crafted an integrated
solution for Augnito 


In order to make Augnito as accessible as possible, we developed an integrated solution that required no additional hardware beyond what doctors might already be using.
Ideal Use Case Identification:

Inconsistency was recognized and
unique challenges were addressed.


We noted that radiologists usually sit at their desks and write reports while going through scans.

This led us to step into using mobile phones
as our tool to make it cost-efficient
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Branding and UI:

Starting from the brand identity, we designed various strategies for all the different user stories that could occur across devices, including chat and customer support.

Commenced with defining the brand identity for Augnito.

Designed multiple user interfaces tailored to various user stories across devices, including chat and customer support.

​1. Document Analysis:

  •   Initiated the process by analyzing documents,   specifically discharge summaries, to gain insights      into existing practices.

2. Patient Journey Understanding:

  •    Delved into understanding the patient journey     

         within typical Indian outpatient settings.

  •    Explored various interactions between doctors  

          and patients to inform user-centric design.

3. Electronic Medical Records (EMRs) Research:

  •    Conducted comprehensive research on the creation

          and storage of Electronic Medical Records (EMRs).

  •    Examined existing practices and identified

          potential pain points.

4. Clinical Transcription Process Exploration:

  •    Mapped out the clinical transcription process to

         comprehend the entire journey, from initial     

         interactions to the creation of investigation reports

         or discharge summaries, depending on the     

         prescribed treatment.

5. User Interaction Mapping:

  • Mapped out the types of interactions between doctors and patients, ensuring a thorough understanding of user needs and pain points.

6. Iterative Prototyping:

  • Employed iterative prototyping to translate insights into tangible design solutions.

  • Ensured continuous refinement based on user feedback and evolving requirements.

7. Usability Testing:

  • Conducted usability testing to validate the effectiveness of design solutions.

  • Gathered feedback from users to further refine and enhance the user experience.

8. Adaptive Design Approach:

  • Adopted an adaptive design approach, considering the dynamic nature.

  • Healthcare processes and the evolving

      needs of both doctors and patients.

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Few states of floating augnito

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Launched
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Paused
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Active
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Client-facing solutions developed by
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Thank You
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