Hemi HL7 Integrations

PatientTrak provides top-tier patient tracking solutions suitable for a variety of healthcare environments that require efficient management of patient flow. Whether it's a solo provider's office, a large hospital network, or a multi-site healthcare organization, our systems are designed to be both cost-effective and easily expandable. With features like PatientTrak Text Messaging, Online Reservation, and Text to Sign-In, healthcare facilities can establish a virtual waiting room, allowing patients to check in remotely, while also notifying them when it's their turn to be seen. This innovative approach not only enhances patient experience but also streamlines operations within the healthcare setting.

Mule acts as the core runtime engine for the Anypoint Platform, operating as a dynamic Java-based enterprise service bus (ESB) and integration solution that streamlines the process for developers to connect applications effectively, thereby enabling efficient data sharing. This platform encourages the smooth integration of various systems, regardless of the technologies employed, including JMS, Web Services, JDBC, and HTTP, among others. It is designed to be deployed across different environments, allowing the ESB to handle and orchestrate events in real time or through batch processing, while ensuring universal connectivity. A key advantage of implementing an ESB is its capacity to facilitate communication between distinct applications, acting as a conduit that transfers data among various applications within an organization or across the web. Moreover, it supports the exposure and hosting of reusable services by leveraging the ESB as a lightweight service container, simultaneously providing a buffer against multiple message formats and protocols. By separating business logic from messaging, the ESB allows for location-independent service invocations, thus increasing the flexibility and scalability of integration solutions. Overall, Mule significantly boosts the ability of organizations to forge a more cohesive digital ecosystem, ultimately leading to enhanced operational efficiency and collaboration. This capability not only streamlines workflows but also fosters innovation by allowing teams to focus on developing new functionalities without being bogged down by integration complexities.

The Mage Sensitive Data Discovery module is designed to reveal concealed data locations within your organization. It enables the detection of hidden information across various data stores, including structured, unstructured, and Big Data environments. Utilizing Natural Language Processing and Artificial Intelligence, this tool is capable of locating data in even the most challenging scenarios. Its patented discovery method guarantees effective identification of sensitive data while keeping false positives to a minimum. You can enhance your data classifications with over 70 existing categories that encompass all widely recognized PII and PHI data types. Furthermore, the module streamlines the discovery process, allowing you to schedule sample scans, complete scans, and incremental scans at your convenience. This versatility ensures that your organization can maintain robust data security measures while efficiently managing data discovery tasks.

Safeguard, oversee, and identify critical enterprise data across various platforms and settings. Streamline your subject rights handling and showcase adherence to regulations, all within a single comprehensive solution that enhances both security and efficiency.