Tempus Next
Pathways

Care pathway intelligence solutions for oncology providers.

AI-enabled care pathway intelligence

Tempus Next Pathways for oncology providers applies technology, data, and AI to enable precision medicine, empowering providers to deliver the next step in a cancer patient’s care journey.

 

Improve adherence to clinical guidelines through AI-enabled and targeted notifications at the point of care.

Features

Identify and contextualize cancer patients in their care journey

 

AI-enabled solutions designed to surface deep insights from multimodal, longitudinal patient data including medical imaging data, EHR data, lab results, pathology reports and clinician notes.

A blurred image featuring a flowchart with a green 'Yes' bubble and an unreadable document.A blurred image featuring a flowchart with a green 'Yes' bubble and an unreadable document.

Surface precision care pathways at the point of care

 

Tiered and customized notifications consistent with precision medicine guidelines in the physician’s workflow reduce alert fatigue.

Screenshot of an email client displaying inbox, message list, and the reading pane.Screenshot of an email client displaying inbox, message list, and the reading pane.

Track patients for timely follow-up to help improve outcomes

 

Patient Tracking for patients with current disease who need management, Patient Lists to search for subsets of patients and Dashboards to track insights into a hospital’s patient population.

Software interface displaying customer details for Sam Stafford, including profile and activity history.Software interface displaying customer details for Sam Stafford, including profile and activity history.

Monitor notification effectiveness and guidelines adoption

 

Institution-level insights reports delivered to hospital systems help understand effectiveness of the notifications and emerging trends in guideline adoption.

A data analytics dashboard displaying a funnel chart, cohort numbers, and senior profiling report.A data analytics dashboard displaying a funnel chart, cohort numbers, and senior profiling report.

Increase equitable access to care

 

Timely and accurate diagnostics, procedures and therapies for all cancer patients, regardless of socioeconomic status.

Line graph comparing days to clinical follow-up for rural and urban populations over time.Line graph comparing days to clinical follow-up for rural and urban populations over time.

Figure: In this study, black patients saw a larger decrease in average time from index echo to follow up (120 vs 64 days) compared to white patients (57 to 36 days), showing the improvement in black patients’ time to follow up towards the average seen in white patients’ (narrowing the gap).

 

Horde G, Sotelo M, D’Amico A, et al. Use of an echocardiographic-based, artificial intelligence system to improve racial disparities in care of patients with valvular heart disease. European Heart Journal – Cardiovascular Imaging. 2023;24(Suppl 1):38.3.

This is AI-enabled precision medicine

This is the future of healthcare.