Patient empowerment app generating Medical BLUEPRINT™

Patient empowerment app generating Medical BLUEPRINT™
Patient empowerment app generating Medical BLUEPRINT™


UzObi Medical BLUEPRINT™ is a digital service ensuring alignment with patient values across all care settings: routine, urgent, and end-of-life.
The web app guides patients through a dedicated questionnaire, allowing them to define preferred actions in critical situations. The result is a comprehensive profile, known as the Medical BLUEPRINT™, which can be shared with family, close ones, chosen doctors, or medical providers. By establishing individual healthcare decisions, patients ensure that all decisions regarding their health align with their preferences based on values, religion, or personal beliefs. The results can be displayed in various language modes for medical professionals and family members, ensuring the outcome is understandable for everyone involved.
The app also provides access to virtual consultations with industry-leading ethicists, ready to offer real-time support and help navigate complex decisions.
UzObi improves patient engagement and empowers informed decision-making in areas such as cultural considerations, identity, and personal values, enabling patients to articulate their care goals more effectively. This tool facilitates clear communication between patients and providers, providing benefits for all stakeholders:





The project began with a series of discovery workshops. During these sessions, we conducted in-depth interviews with the client to understand their project goals and business objectives. We also thoroughly identified and documented the desired features of the application.
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“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”
“Experience in medical Apps is a big advantage of Apzumi for me. The team members are also very helpful with their valuable insight.”



Joanna Kasprzak, Ph.D. in Bioinformatics, is a specialist in data simulations and algorithms. In Apzumi, she has led over 30 successful Digital Health applications as a Project Manager or Product Owner.


Sebastian Zarzycki, MSCS in Software Engineering, has over 18 years of experience in designing, architecting, implementing and overseeing software. He's involved in all key Apzumi projects.
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UzObi Medical BLUEPRINT™ is a digital service ensuring alignment with patient values across all care settings: routine, urgent, and end-of-life.
The web app guides patients through a dedicated questionnaire, allowing them to define preferred actions in critical situations. The result is a comprehensive profile, known as the Medical BLUEPRINT™, which can be shared with family, close ones, chosen doctors, or medical providers. By establishing individual healthcare decisions, patients ensure that all decisions regarding their health align with their preferences based on values, religion, or personal beliefs. The results can be displayed in various language modes for medical professionals and family members, ensuring the outcome is understandable for everyone involved.
The app also provides access to virtual consultations with industry-leading ethicists, ready to offer real-time support and help navigate complex decisions.
UzObi improves patient engagement and empowers informed decision-making in areas such as cultural considerations, identity, and personal values, enabling patients to articulate their care goals more effectively. This tool facilitates clear communication between patients and providers, providing benefits for all stakeholders:

The first step involved converting scanned documents into digital formats using OCR technology. This phase was crucial due to the diverse nature and quality of the scanned documents. Advanced OCR solutions were employed, capable of handling various text formats, handwriting, and even low-quality scans, ensuring high accuracy in digitization.
Once digitized, the documents were categorized into predefined classes such as medical reports, lab tests, and billing documents. This categorization was facilitated by a machine learning model trained on a large dataset of annotated healthcare documents. The model was fine-tuned to recognize and categorize documents accurately, even when the formats and templates varied significantly.
The extraction of key facts from the categorized documents was the next critical step. Using natural language processing (NLP) and machine learning algorithms, the system identified and extracted pertinent information such as patient names, birthdates, addresses, ICD codes, and details of medical procedures. The AI model was trained to understand the context and semantics of the healthcare domain, ensuring a high level of precision in fact retrieval.
The final step involved synthesizing the extracted information into coherent medical summaries and reports. Generative AI models, trained on a vast corpus of medical texts, were employed to generate summaries that were both accurate and easily comprehensible. These summaries provided a consolidated view of the patient's medical history and current claims, significantly aiding in the decision-making process.










The project began with a series of discovery workshops. During these sessions, we conducted in-depth interviews with the client to understand their project goals and business objectives. We also thoroughly identified and documented the desired features of the application.
In this phase, we meticulously crafted the information architecture and designed detailed user journeys to ensure an optimal user experience. We then progressed to creating low-fidelity and high-fidelity designs, applying meticulously prepared branding.
With well-defined goals and finalized designs, we had a solid foundation for the development process. Our development team adjusted their work pace to align with the external circumstances on the client's side, ensuring synchronization with the business development of the project.
With the deployment of the platform, our team initiated the final phase of project support, delivering ongoing optimization and making necessary adjustments to ensure the platform's continued success and performance.

