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Services

How we work

Case Studies

Our Team

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Case studies


Protocolling Radiology

Protocolling Radiology

Our project at the LUMC Radiology Department aimed to improve the protocoling workflow for radiological examinations, focusing on efficiency and accuracy. By implementing solutions like a structured request form and an NLP protocol selection tool, we received positive stakeholder feedback, setting the stage for future refinement and testing.

Streamlining Geriatric Care

At Spaarne Gasthuis's geriatric department, our project aims to reduce patient length of stay. Amidst mounting pressures on healthcare and nursing workload, we're exploring the potential of artificial intelligence to streamline processes. Our objective is to deliver customized recommendations emphasizing practical strategies to enhance efficiency and support healthcare personnel effectively.

More innovative projects

More innovative projects

Product market fit analysis for AI-driven Diagnostic Tool

At a Stealth Startup, we provided consultancy support for the development of an AI-powered diagnostics tool in the healthcare sector. Our work focused on understanding how the solution fit within the existing healthcare infrastructure, particularly in response to evolving laboratory challenges. We conducted a market analysis to evaluate its potential adoption and provided strategic recommendations to guide product development, with the aim of enhancing diagnostic efficiency and supporting laboratory professionals.


Product market fit analysis for AI-driven Diagnostic Tool

At a Stealth Startup, we provided consultancy support for the development of an AI-powered diagnostics tool in the healthcare sector. Our work focused on understanding how the solution fit within the existing healthcare infrastructure, particularly in response to evolving laboratory challenges. We conducted a market analysis to evaluate its potential adoption and provided strategic recommendations to guide product development, with the aim of enhancing diagnostic efficiency and supporting laboratory professionals.


Product market fit analysis for AI-driven Diagnostic Tool

At a Stealth Startup, we provided consultancy support for the development of an AI-powered diagnostics tool in the healthcare sector. Our work focused on understanding how the solution fit within the existing healthcare infrastructure, particularly in response to evolving laboratory challenges. We conducted a market analysis to evaluate its potential adoption and provided strategic recommendations to guide product development, with the aim of enhancing diagnostic efficiency and supporting laboratory professionals.


Product market fit analysis for AI-driven Diagnostic Tool

At a Stealth Startup, we provided consultancy support for the development of an AI-powered diagnostics tool in the healthcare sector. Our work focused on understanding how the solution fit within the existing healthcare infrastructure, particularly in response to evolving laboratory challenges. We conducted a market analysis to evaluate its potential adoption and provided strategic recommendations to guide product development, with the aim of enhancing diagnostic efficiency and supporting laboratory professionals.


Valorisation strategy for Amsterdam UMC AI Model

At Amsterdam UMC, in collaboration with Innovation Exchange Amsterdam (IXA), we developed a valorisation strategy for an AI model targeting colorectal liver metastases. The model aims to improve response assessment to neoadjuvant therapy and was developed with funding from the Dutch Cancer Society (KWF). By analyzing common strategies in the field and conducting interviews with various experts, we created a clear and actionable roadmap for valorisation.


Valorisation strategy for Amsterdam UMC AI Model

At Amsterdam UMC, in collaboration with Innovation Exchange Amsterdam (IXA), we developed a valorisation strategy for an AI model targeting colorectal liver metastases. The model aims to improve response assessment to neoadjuvant therapy and was developed with funding from the Dutch Cancer Society (KWF). By analyzing common strategies in the field and conducting interviews with various experts, we created a clear and actionable roadmap for valorisation.


Valorisation strategy for Amsterdam UMC AI Model

At Amsterdam UMC, in collaboration with Innovation Exchange Amsterdam (IXA), we developed a valorisation strategy for an AI model targeting colorectal liver metastases. The model aims to improve response assessment to neoadjuvant therapy and was developed with funding from the Dutch Cancer Society (KWF). By analyzing common strategies in the field and conducting interviews with various experts, we created a clear and actionable roadmap for valorisation.


Valorisation strategy for Amsterdam UMC AI Model

At Amsterdam UMC, in collaboration with Innovation Exchange Amsterdam (IXA), we developed a valorisation strategy for an AI model targeting colorectal liver metastases. The model aims to improve response assessment to neoadjuvant therapy and was developed with funding from the Dutch Cancer Society (KWF). By analyzing common strategies in the field and conducting interviews with various experts, we created a clear and actionable roadmap for valorisation.


AI-driven voice-to-text generator in Healthcare

At HealthTalk, we assisted in defining the company’s value proposition for its AI based clinical note taking application. The aim of the project was to clarify how this technology benefits healthcare professionals and patients. Through both qualitative and quantitative analysis, we developed a clear narrative of HealthTalk’s unique advantages. Additionally, we conducted an in-depth competitive analysis, identifying the strengths and weaknesses of key players in the market. These insights helped HealthTalk strategically position itself for success and uncover growth opportunities.

AI-driven voice-to-text generator in Healthcare

At HealthTalk, we assisted in defining the company’s value proposition for its AI based clinical note taking application. The aim of the project was to clarify how this technology benefits healthcare professionals and patients. Through both qualitative and quantitative analysis, we developed a clear narrative of HealthTalk’s unique advantages. Additionally, we conducted an in-depth competitive analysis, identifying the strengths and weaknesses of key players in the market. These insights helped HealthTalk strategically position itself for success and uncover growth opportunities.

AI-driven voice-to-text generator in Healthcare

At HealthTalk, we assisted in defining the company’s value proposition for its AI based clinical note taking application. The aim of the project was to clarify how this technology benefits healthcare professionals and patients. Through both qualitative and quantitative analysis, we developed a clear narrative of HealthTalk’s unique advantages. Additionally, we conducted an in-depth competitive analysis, identifying the strengths and weaknesses of key players in the market. These insights helped HealthTalk strategically position itself for success and uncover growth opportunities.

AI-driven voice-to-text generator in Healthcare

At HealthTalk, we assisted in defining the company’s value proposition for its AI based clinical note taking application. The aim of the project was to clarify how this technology benefits healthcare professionals and patients. Through both qualitative and quantitative analysis, we developed a clear narrative of HealthTalk’s unique advantages. Additionally, we conducted an in-depth competitive analysis, identifying the strengths and weaknesses of key players in the market. These insights helped HealthTalk strategically position itself for success and uncover growth opportunities.

Custom LLMs to create content for Kind bij de Dokter

At Kind bij de Dokter, we developed a practical method and manual for using custom large language models (LLMs) to support content creation. These models can be used to generate original materials tailored to the organization’s voice or to translate content into multiple languages while maintaining tone and meaning. The approach was shaped through a mix of desk research, expert interviews, and iterative testing, resulting in a flexible and efficient framework for high-quality, multilingual communication.

Custom LLMs to create content for Kind bij de Dokter

At Kind bij de Dokter, we developed a practical method and manual for using custom large language models (LLMs) to support content creation. These models can be used to generate original materials tailored to the organization’s voice or to translate content into multiple languages while maintaining tone and meaning. The approach was shaped through a mix of desk research, expert interviews, and iterative testing, resulting in a flexible and efficient framework for high-quality, multilingual communication.

Custom LLMs to create content for Kind bij de Dokter

At Kind bij de Dokter, we developed a practical method and manual for using custom large language models (LLMs) to support content creation. These models can be used to generate original materials tailored to the organization’s voice or to translate content into multiple languages while maintaining tone and meaning. The approach was shaped through a mix of desk research, expert interviews, and iterative testing, resulting in a flexible and efficient framework for high-quality, multilingual communication.

Custom LLMs to create content for Kind bij de Dokter

At Kind bij de Dokter, we developed a practical method and manual for using custom large language models (LLMs) to support content creation. These models can be used to generate original materials tailored to the organization’s voice or to translate content into multiple languages while maintaining tone and meaning. The approach was shaped through a mix of desk research, expert interviews, and iterative testing, resulting in a flexible and efficient framework for high-quality, multilingual communication.

Jeroen Bosch Hospital & Gemeente Den Bosch

At the Gemeente Den Bosch and the Jeroen Bosch Ziekenhuis we tried to achieve the objective to make this city healthier and make healthcare more equal. We analysed 6 different datasets that gave a thorough overview of alle the different aspects of health of the population in Den Boisch. We combined publicly availabel data with anonymized data from the hospital. We created an overview and performed data analysis to supply the large peripheral hospital and the municipality a toolbox to improve health for the entire populaiton.

Jeroen Bosch Hospital & Gemeente Den Bosch

At the Gemeente Den Bosch and the Jeroen Bosch Ziekenhuis we tried to achieve the objective to make this city healthier and make healthcare more equal. We analysed 6 different datasets that gave a thorough overview of alle the different aspects of health of the population in Den Boisch. We combined publicly availabel data with anonymized data from the hospital. We created an overview and performed data analysis to supply the large peripheral hospital and the municipality a toolbox to improve health for the entire populaiton.

Jeroen Bosch Hospital & Gemeente Den Bosch

At the Gemeente Den Bosch and the Jeroen Bosch Ziekenhuis we tried to achieve the objective to make this city healthier and make healthcare more equal. We analysed 6 different datasets that gave a thorough overview of alle the different aspects of health of the population in Den Boisch. We combined publicly availabel data with anonymized data from the hospital. We created an overview and performed data analysis to supply the large peripheral hospital and the municipality a toolbox to improve health for the entire populaiton.

Jeroen Bosch Hospital & Gemeente Den Bosch

At the Gemeente Den Bosch and the Jeroen Bosch Ziekenhuis we tried to achieve the objective to make this city healthier and make healthcare more equal. We analysed 6 different datasets that gave a thorough overview of alle the different aspects of health of the population in Den Boisch. We combined publicly availabel data with anonymized data from the hospital. We created an overview and performed data analysis to supply the large peripheral hospital and the municipality a toolbox to improve health for the entire populaiton.

Commercialization strategy evaluation for Club Diabetes

At Club Diabetes, we provided consultancy support for the development of an app that includes an AI chat-support, to aid diabetics in improving their health status. We specificillay focused on the optimal strategeis to make sure that cliub diabtes could be used or reimbuirsed via insurance pathways, or other strategies, such as the GLI programmes.

Commercialization strategy evaluation for Club Diabetes

At Club Diabetes, we provided consultancy support for the development of an app that includes an AI chat-support, to aid diabetics in improving their health status. We specificillay focused on the optimal strategeis to make sure that cliub diabtes could be used or reimbuirsed via insurance pathways, or other strategies, such as the GLI programmes.

Commercialization strategy evaluation for Club Diabetes

At Club Diabetes …

Commercialization strategy evaluation for Club Diabetes

At Club Diabetes, we provided consultancy support for the development of an app that includes an AI chat-support, to aid diabetics in improving their health status. We specificillay focused on the optimal strategeis to make sure that cliub diabtes could be used or reimbuirsed via insurance pathways, or other strategies, such as the GLI programmes.