We use Microsoft Dynamics 365 Marketing and Salesforce Marketing Cloud, which provide valuable patient insights, streamline campaigns, and deliver personalized healthcare experiences, all of which help increase patient engagement and business success.

 

 

From lead generation to post-sales follow-up, our CRM solutions, powered by Microsoft Dynamics 365 Sales and Salesforce Sales Cloud, provide a comprehensive view of every sales interaction, enabling streamlined processes, improved customer relationships, and growth.

Key features include lead and opportunity management, accurate sales forecasting, and detailed reporting and analytics, enabling healthcare B2B sales teams to improve efficiency and productivity while achieving their sales goals.

 

 

Using our CRM solutions, based on Microsoft Dynamics 365 Service or Salesforce Service Cloud, healthcare providers can deliver top-notch customer service, improving patient satisfaction and building stronger relationships.

Key features include contact and case management, analytics and reporting, automated notifications, knowledge management, multi-channel support, customizable dashboards, and seamless integration with existing healthcare systems.

 

 

Increase customer efficiency with our specialized business apps. Automate ID identification, customer communication, case processing, payment verification, and contract management for accuracy and streamlined operations, ultimately improving customer satisfaction and productivity.

 

 

Our healthcare-focused business applications streamline inventory processes, providing real-time tracking, automated replenishment commands and seamless integration with existing systems. Ensure on-time inventory replenishment, reduce inventory, and improve patient care with our easy-to-use solutions.

This solution involves the use of machine learning algorithms to analyze large amounts of patient data, such as medical history, symptoms, and treatment plans, to extract relevant information and classify it for easier access and processing. By automating this process, healthcare professionals can save time and effort, improving efficiency and accuracy in patient care.

This solution involves the automation of medical billing documents using machine learning algorithms. By doing so, healthcare organizations can help ensure accuracy and compliance with industry regulations while reducing the risk of human error.

The analysis of medical images, such as X-rays, CT scans, and MRIs, can be time-consuming and challenging for healthcare professionals. The solution of computer vision and deep learning algorithms can help automate this process, providing faster and more accurate diagnoses, ultimately improving patient outcomes.

This solution involves the automated monitoring of prescriptions for controlled substances. By doing so, healthcare organizations can ensure compliance with regulations and identify potential cases of drug abuse or diversion. This can help to improve patient safety and reduce the risk of substance abuse.