Ditstek's SaaS-Based Remote Patient Monitoring System
Ditstek's SaaS-based remote patient monitoring system is a comprehensive solution that enables healthcare providers to monitor patients' vital signs and health data in real-time. It includes a user-friendly mobile application for patients and a web-based dashboard for healthcare providers, facilitating seamless communication and data exchange.
Implementation and
Integration
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The collaboration between Ditstek and its client involved a smooth and efficient implementation of the remote patient monitoring system. Ditstek's team of experts worked closely with the organization’s stakeholders to understand their unique requirements and tailor the solution accordingly. The system was seamlessly integrated into its existing healthcare infrastructure, ensuring minimal disruption to daily operations.
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The system developed included applications for patients and their family members to monitor the former’s vitals regularly. It ensured compliance with care plans, treatment plans, and prescriptions. Additionally, counseling sessions and remote appointments were also provided when necessary.
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The remote monitoring reduced the cost of hospitalization, eased the burden on healthcare professionals, patients, and family members, and minimized unnecessary hospital visits. The system also reduced insurance claim costs and eliminated the need for unnecessary tests and procedures for patients who only require observation.
Case in Point
Comprehensive and Scalable Solution
Ditstek's remote patient monitoring system was developed on a SaaS-based multi-tenancy architecture, offering the client a scalable solution that saved costs while expanding their capacity to provide care. The system was designed to accommodate various components, including BHI/Virtual, HR integration, third-party data gathering, bio-markers/RPM data, etc. This comprehensive framework enabled the client to gather and analyze patient data efficiently.
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Hipaa Compliant Remote Patient Monitoring Platform
Ditstek's remote patient monitoring system ensured compliance with HIPAA regulations, safeguarding patient privacy and data security. Healthcare providers and care teams at the client company could remotely track patients' health at home, collaborate with their doctors, and proactively detect potential issues to prevent hospital readmissions. The system integrated seamlessly with medical and wellness devices, such as blood pressure monitors, glucose meters, oximeters, Fitbit, Apple Health, Samsung Health, and Google Fit. This holistic approach resulted in better patient outcomes while reducing costs.
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Advanced Data Analytics and Predictive Precision Medicine
Ditstek's remote patient monitoring system served as a data analytics platform, empowering the client to leverage artificial intelligence (AI) and machine learning (ML) for data analysis. By harnessing the power of AI and ML, the client could identify patterns and trends in patient data, enabling to predict and prevent hospitalizations and re-hospitalizations. This focus on value-based care improved patient outcomes while optimizing resource allocation.
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Workflow Management and Care Coordination
The remote patient monitoring system provided the client with a suite of tools to streamline workflow management and care coordination. Features such as staff and provider management, appointment scheduling, task management, and triggers/flags management improved operational efficiency and ensured timely interventions. Additionally, the system offered customizable document templates, survey management, care plan and notes management, and billing code management, enabling the client to tailor their processes to meet specific patient needs and regulatory requirements
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Conclusion
Ditstek’s collaboration with the client and the adoption of their SaaS-based remote patient monitoring system revolutionized their care delivery and patient outcomes. By implementing this innovative solution, the company improved its ability to provide connected care, remotely monitor patients' health, and collaborate with patients' healthcare providers. The system's comprehensive features, including advanced data analytics, predictive precision medicine, and workflow management, enabled the company to optimize their operations, reduce costs, and enhance patient experiences.
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