TECHNOLOGY

Thynk Health is the most robust and intelligent patient management platform available for managing incidental findings and complex disease pathways. It leverages highly reliable, non-hallucinatory, state-of-the-art natural language processing (NLP) to extract and track clinically significant details buried in unstructured data—such as pathology and radiology reports—across the EHR. LLM’s are used cautiously when appropriate and can be thoroughly tested and monitored through more mainstay ML based NLP techniques. Thynk Health enables proactive, longitudinal patient tracking by surfacing actionable findings, automating follow-up workflows, and integrating biomarker data and AI-driven malignancy risk scores from third-party systems. This ensures no patient falls through the cracks, regardless of how or where critical findings are documented.

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TECH SPECS

EHR/EMR Compatibility:

Thynk Health supports standard communication protocols such as HL7, DICOM, and APIs for communication. Our standards-based approach allows easy and quick integration to any EHR/EMR also supports these standards. Thynk Health has successfully integrated with EPIC, Cerner Meditech, Allscripts, and other EHR/EMR/PACS.

Universal Access:

All products are available to users at any location, any time. The products centrally track all patients across their incidental management and screening continuum. Administrators can invite an unlimited number of users to the platform for access to reporting, analytics, and management of one or all solutions.

Security:

We implement and make use of industry best practices and up-to-date technologies to provide proper user security, role-based access control, and API data resources. SOC 2 Type 2 compliant.

Cloud Environment:

The solution is built in an AWS Serverless environment hosted in a US region. Customers have access directly from a web browser which does not require any additional plugins or installs. A virtual machine is installed locally for transmitting data from the healthcare institution to Thynk Health’s cloud-based solution.

Software Updates:

Releases are pushed to a staging platform for testing purposes by customers and then pushed to production every two weeks. Hot-fixes are pushed on an as-needed basis.

Solution Uptime:

The Thynk Health solution maintains a 99.9999% uptime. Downtime is not required for upgrades or hot-fixes. With AWS Serverless our solution is available when you need it to be.

Customer Success:

We offer multiple contact options for the service center which is available Monday through Friday from 9 am – 5 pm EST. We are available by phone, e-mail, customer portal, and support widget.

Historical Backload:

All historical data collected for the screening program is imported into Thynk Health’s platform for reference as well as reporting and analytics purposes. Data from the ACR, local spreadsheets, databases, previous vendors, and/or EMR exports can be used to populate all historical data into the solution.

Workflow Automation:

Users are able to create unlimited communications to patients and physicians to communicate information such as results, reminders, and referrals. With workflow automation, these communications can be built to send automatically based on system events or manually based on user requirements.

ACR Submission:

All required data elements are collected automatically for submission to the ACR without requiring workflow changes in the organization.

Deployment & Configuration:

Thynk Health’s solution is deployed and completely configured for the needs of your organization. Enterprise organizations may choose a single platform for all management activities or a multi-tenant approach for defining customized workflow automation rules per tenant. Analytics are available at any level the organization desires.

Implementation:

The implementation process is standardized and configured for each customer's needs from an IT/clinical perspective. Test and production environments are available for user access at kick-off. Clinical and technical workflow discussions will determine the level of configuration needs as well as implementation timeline. Go-live consists of historical data backload, customer configurations, data feed activation, and workflow automation for a successful implementation of the end-to-end solution.