At a Glance
The main idea of Seewithin is to enhance healthcare outcomes. Their solutions focus on automating follow-ups, ensuring patient compliance, and streamlining communication among radiologists, physicians, and patients, ultimately reducing healthcare costs and improving efficiency.
Cloudpacer enhanced tier operations and services by implementing bi-directional communication with Twilio, multi-tenancy support, prescription data parsing, interactive React-based dashboards, ML-driven data workflows, and operational automation.
Solutions Implemented
Developed a bi-directional communication feature using Twilio.
Built data extraction and parsing techniques for physician-prescribed prescriptions.
Enabled multi-tenancy to support various service providers.
Collaborated with machine learning and NLP teams for data cleansing and follow-up recommendations.
Designed a React-based frontend with interactive charts, graphs, and real-time data updates.
Automated workflows to streamline operations and reduce costs.
Outcomes Expected
SeeWithin reduces overall operational cost by 28% via managing patient and doctor data.
Within 6 months of its launch SeeWithin expanded to more than 950 providers and payers and more than 75 health systems in over 45 states.
Post completion SeeWithin was acquired by ImagineSoft for an undisclosed amount.
Implemented NLP for automated prescription analysis, predicting diseases and follow-up schedules.
Enhanced communication between stakeholders in the healthcare ecosystem.
Accurate and efficient extraction of critical data from prescriptions.
User-friendly interface for data visualization and tracking patient status.
Company
SeeWithin offer radiology administrators the latest workflow automation and AI technology – saving time, improving margins, and elevating the quality of care
Location
Brooklyn, New York
Industry
Services
Transforming Radiology and Patient Care with Automation and Intelligent Data Solutions
Cloudpacer played a pivotal role in SeeWithin’s mission to transform healthcare by addressing complex technical challenges and delivering scalable, secure, and efficient solutions. Leveraging expertise in backend engineering and advanced technologies like NLP, Machine Learning, and cloud-based architectures, Cloudpacer enabled seamless communication between stakeholders, accurate data extraction, robust multi-tenancy, and real-time data visualization. By automating key workflows and ensuring data quality, Cloudpacer significantly reduced operational inefficiencies, empowering SeeWithin to enhance patient care while lowering healthcare costs.
Challenges
Implementing Secure Bi-Directional Communication
Implementing a system to enable seamless communication between patients, radiologists, and physicians while maintaining data security and scalability. This required ensuring HIPAA compliance, protecting sensitive patient information from unauthorized access, and delivering high performance under varying load conditions. Additionally, the system needed to manage and synchronize multiple concurrent interactions without compromising response times or user experience.
Challenges in Extracting Prescription Data
Physicians issue prescriptions in diverse formats, ranging from handwritten notes to digital files, often containing unstructured and inconsistent data. The challenge was to develop an intelligent data parsing mechanism that could accurately identify, extract, and structure relevant information, such as patient details, prescribed medications, and follow-up instructions. This was crucial for building a reliable automation pipeline for follow-ups and compliance tracking.
Maintaining Consistency Across Diverse Platforms and Devices
Delivering a consistent user experience across web, iOS, and Android platforms proved difficult due to variations in device capabilities, screen sizes, and operating system behaviors. Ensuring that the platform’s design and functionality performed uniformly across all devices was a significant challenge.
Multi-Tenancy Limitations for Healthcare Providers
SeeWithin needed a platform that could support multiple healthcare providers while ensuring data isolation and efficient resource utilization. This required designing a multi-tenant architecture that offered individual providers a customized experience without sacrificing performance or scalability. Ensuring the integrity and security of each tenant’s data was a critical component of this challenge.
Limitations in Real-Time Data Visualization
Visualizing patient data in real-time required building a dynamic frontend capable of rendering interactive charts, graphs, and dashboards. The integration of chat features added an additional layer of complexity, requiring real-time updates and secure message exchanges. The solution needed to provide a seamless and intuitive user experience for all stakeholders, including physicians, radiologists, and patients.
The Challenge of Cost Reduction
Manual processes, such as scheduling follow-ups, sending reminders, and consolidating patient data, were time-consuming and error-prone. The challenge was to design automation workflows that could reliably handle these tasks, reduce administrative burdens, and minimize operational costs without compromising accuracy or compliance. Ensuring scalability of these workflows to handle growing user demands was also a critical consideration.
Solutions by Cloudpacer
Developed a robust communication framework
Cloudpacer developed a robust communication framework leveraging Twilio, ensuring HIPAA-compliant data exchange among patients, radiologists, and physicians. This framework handled multiple concurrent interactions efficiently, providing a seamless and secure user experience even under high load conditions.
Advanced Data Parsing and NLP Integration
To tackle diverse prescription formats, Cloudpacer implemented cutting-edge NLP algorithms and custom data parsing techniques. These solutions automated the extraction and structuring of key information from prescriptions, enhancing the reliability of follow-up schedules and compliance tracking.
Multi-Tenant Platform Architecture
Cloudpacer designed and implemented a multi-tenant architecture that provided isolated data environments for healthcare providers. This ensured secure and efficient operations while allowing scalability to accommodate new providers seamlessly.
Data Cleansing and Standardization
Cloudpacer developed a data cleansing pipeline to resolve inconsistencies, remove duplicates, and standardize patient data formats. This significantly improved data quality, enabling accurate insights and recommendations for patient care.
Interactive Real-Time Visualization and Chat Features
The team built an intuitive frontend using React, featuring real-time dashboards with interactive charts and graphs. The integration of secure chat functionality facilitated seamless communication among stakeholders, enhancing user engagement and efficiency.
Automation of Workflows
Cloudpacer automated key healthcare processes, such as scheduling follow-ups, sending reminders, and consolidating patient data. This reduced administrative burdens, minimized errors, and achieved significant cost savings while maintaining high-quality patient care.
Company
SeeWithin offer radiology administrators the latest workflow automation and AI technology – saving time, improving margins, and elevating the quality of care
Location
Brooklyn, New York
