Remote patient monitoring for cardiac rehabilitation
Remote patient monitoring for cardiac rehabilitation
Chanl Health provides a comprehensive suite of tools and services that help patients manage their health more effectively, including telemedicine consultations, remote monitoring, and personalized health coaching. The platform also offers a range of wellness services to help patients improve their overall health and wellbeing.
The platform is designed to be easy to use and accessible to patients of all ages and backgrounds. It is built on a secure, HIPAA-compliant infrastructure, ensuring that patient data is protected at all times. The solution is implemented in over 50 hospitals across the USA.
Business objective: integrating a remote rehabilitation program with a network of clinics, using a comprehensive software platform.
The traditional cardiac rehabilitation, conducted at the time of the project's start back in 2017, involved all appointments being conducted physically in clinics. Patients had to either stay in hospitals or commute to them for rehabilitation sessions.
Consequently, the primary goal of the product's MVP phase was to conduct tests of the program on patients to demonstrate the effectiveness of remote rehabilitation compared to traditional solutions.
From the patients' perspective, the opportunity to undergo such rehabilitation remotely:
Our client came with a concept and the initial version of the app. We developed the product from the backend perspective and practically rewrote the entire frontend. By creating the MVP, we were able to release the application for initial testing on patients.
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Mobile & Web
+ Further Scaling
“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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Chanl Health provides a comprehensive suite of tools and services that help patients manage their health more effectively, including telemedicine consultations, remote monitoring, and personalized health coaching. The platform also offers a range of wellness services to help patients improve their overall health and wellbeing.
The platform is designed to be easy to use and accessible to patients of all ages and backgrounds. It is built on a secure, HIPAA-compliant infrastructure, ensuring that patient data is protected at all times. The solution is implemented in over 50 hospitals across the USA.
Business objective: integrating a remote rehabilitation program with a network of clinics, using a comprehensive software platform.
The traditional cardiac rehabilitation, conducted at the time of the project's start back in 2017, involved all appointments being conducted physically in clinics. Patients had to either stay in hospitals or commute to them for rehabilitation sessions.
Consequently, the primary goal of the product's MVP phase was to conduct tests of the program on patients to demonstrate the effectiveness of remote rehabilitation compared to traditional solutions.
From the patients' perspective, the opportunity to undergo such rehabilitation remotely:
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.
Our client came with a concept and the initial version of the app. We developed the product from the backend perspective and practically rewrote the entire frontend. By creating the MVP, we were able to release the application for initial testing on patients.
With this phase, we transitioned into product discovery with a specific focus on optimizing the application for the patient's experience. This involved conducting a comprehensive redesign and delving deeper into the areas of user registration and daily task management.
This stage involves the creation of two distinct management units: a mobile patient app and a web hospital unit dashboard. Our aim was to seamlessly integrate all virtual management frameworks, processes, and training into a single comprehensive software platform.
This ongoing stage involves adapting to legal, non-legal, and regulatory requirements while expanding the application to accommodate additional medical units. The application is also being functionally personalized to meet the specific needs of hospitals.
Chanl Health is a HIPAA-compliant platform hosted on AWS with a separate mobile application for patients developed using hybrid technology with Ionic, as well as a dashboard for employees created using Angular. We also utilize Twilio for chatting with patients via SMS within the web interface.
