PROVIDERS

Use Data & Insights To Enact Connected Care Models

01 .

Ingest and manage clinical and image data

Interoperability

Achieve interoperability with any EMR, picture archiving and communication system (PACS), radiology information system (RIS) and laboratory information system (LIS).

Exchange Information

Through vendor-neutral architecture and standard based bi-directional data to exchange information and the ability to use the information exchanged.

02 .

Data aggregation, analytics, and workflows

Get Information

Use the data to contrast with other clinical findings, use the visual tools and easy-to-interpret trend data, including early warning, patient monitoring, vital signs and discharge, monitor acute care patients to intervene early and prevent complications.

Customizations

It help clinicians evaluate the effectiveness of interventions along with providing context and synthesizing huge amounts of data, facilitate workflow customizations within the longitudinal enterprise platform to meet departmental needs with one single construct.

03 .

Advance AI/ML/DL functionality

Identify Patients

Identify patients at risk for a clinical exacerbation or who may be undiagnosed.

Decision support

Decision support on indicative diagnosis based on assessment of medical imaging & pathology reports and assessment of test reports & medical imaging of subsequent visits.

04 .

Connect with the wider care community

Integration and Interoperability,

With bi-directional integration and interoperability, the platform solution becomes a patient-oriented, longitudinal, cross-organizational electronic health record (EHR).
It easily extends EHR platform access outside hospital walls into outpatient settings and patient homes.

Securely Share Data

This enables healthcare organizations to securely share data and insights to collaborate and coordinate care across all patient touchpoints in the ecosystem to deliver superior Physician-Patient-Care Giver Engagement.