CRM SaaS Solution for a Growing E-commerce Platform
- E-commerce
- Saas
EHR SaaS Solution for a Multi-Hospital Healthcare Network
We helped a healthcare institution in the United States to help them build and deploy a highly efficient electronic healthcare record system. The client struggled with a manual record-keeping process that lacked accessibility and regulatory compliance. Our team designed an EHR solution that brought 25% improvement in regulatory compliance while enhancing accessibility to patient records by 50%.
Industry
Healthcare
Client Location
United States
Project Duration
16 months
Team Size
35 members
Key Technologies
AWS, Kubernetes, React.js, Node.js, MySQL, AI/ML, HIPAA Compliance, Power BI
Client Background
The client is a renowned hospital in the USA with a capacity of 1000 beds and multiple health specialists under one roof. The hospital has been a medical hub for people from 10+ cities for more than 50 years. The traditional patient management system turned inefficient as the number of patients increased in the recent decade. The manual tracking of patient data caused accessibility challenges, while manual record keeping often caused human errors that compromised the efficiency of the patient care plan.
Project Scope of EHR SaaS for Healthcare Network
After the thorough analysis of client challenges and hospital requirements, we envisaged a smart electronic health record system that centralizes end-to-end patient data in one place. The software would be designed on a cloud platform that allows patients and healthcare professionals to easily access their entire medical history with just a click. The strategic planning also ensured the software capability to integrate with different types of medical devices that actively help to update patient medical data.
Our Development Approach
We collaborated with the team of senior healthcare professionals to have a better view of real-time challenges. In order to build a solution that aligns with client goals, we curated a personalized list of features and technologies that help build an advanced EHR platform. We deployed an agile project management methodology that helps to divide the entire project into sprints and ensure the defined quality standard throughout the process.
AI Features Introduced in EHR SaaS Solution
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Centralized Data Platform
- The feature was imparted in the software that offers a safe and accessible data storage facility to patient to keep their medical records and visuals like X-rays, CT-scans, etc.
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Predictive Health Analytics
- The software carries AI prowess that monitors patients’ current health conditions and symptoms to accurately predict the chances of potential illness, along with offering preventive measures.
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Visual Scanning
- The EHR system was integrated with virtual scanning features that help medical professionals to scan X-rays, CT scans, and other medical visuals to identify illness, bone fractures, and even tumors.
Addressing Challenges Faced by the Healthcare Network
The client hospital mainly struggled with random, scattered data that impacted the accessibility of medical data about the patient. The manual handling of data often caused human errors that impacted the efficiency of treatment plans. At the same time, the evolving regulatory changes in the medical industry turned the legacy system incompetent to ensure compliance. Furthermore, the existing tech infrastructure of the hospital lacked scalability according to changing industry trends.
EHR SaaS Solution Business Impact
Since the deployment of the EHR SaaS solution, the firm has reported a 30% improvement in patient care efficiency. The access to patients’ records for healthcare professionals has increased by 50%. At the same time, it is now 25% easier for the hospital administration to keep track of evolving regulatory compliance and ensure adherence.
Project Milestones We Achieved
| Milestone | Tasks | Timeline | Responsible |
|---|---|---|---|
| Project Initiation | Project workshop, budget, and resource allocation | Month 1 | Project Manager |
| System Design and Prototype | Curate EHR system architecture, database scheme, and prototype development | Month 2-3 | Solution Architect |
| Development and Model Training | Build EHR module, AI integration, cloud integration | Month 4-7 | Development Team |
| Testing and QA | Unit testing, performance testing, automated testing, and manual testing | Month 8-10 | QA Team |
| Deployment | Data migration, post-launch monitoring, and creating a user manual | Month 11-12 | Project Manager, IT Team |
