Advanced Patient Management Solutions

Our advanced solutions bring patient management to guidelines, precision oncology decision support, and clinical research within a clinic or practice workflow to truly enable precision oncology and value-based care models.


EurekaHealth is a unique technology architecture that enables the integration of data from multiple sources and sites to support insights into quality, efficiency, and research opportunities not possible within traditional EMR and data warehouse environments.

Clinical Research

Unknown clinical variability can lower the effectiveness of a practices’ management of risk. Our leading AI tools help you identify and understand this variability and translate it into an effective clinical management framework that can be integrated into practice management.

Clinical Management

Unique models for integrating research activities within clinical workflows help identify patients for clinical study eligibility, enroll patients into trials that may bring them therapeutic benefit, and complete studies more successfully.

Patient Care Monitor / Patient Reported Outcomes

The Patient Care Monitor integrates patient-reported outcomes into the EMR and assists with meeting Oncology Care Model requirements.

Monitor and track patient symptoms at the point-of-care and in between visits with a validated Core Symptom Survey.

Meet reporting requirements of organizations and alternative payment models such as QOPI, OCM, CoC and MIPS.

Enable real-time management with live dashboards on patient-reported outcomes that include:

  • Complete Review of Systems (eg: Core Symptom Survey)
  • Psychosocial Distress Screening (eg: PHQ2, PHQ9)
  • Tobacco Use Screening and History
  • CAHPS Oncology Patient Satisfaction/Experience Survey
  • ECOG Assessment
  • Falls Risk Assessment
  • Learning Needs Assessment
  • Quality of Life (eg: FACT)

Research Abstracts

Understanding patient advance directives status in a community oncology practice using an electronic patient-reported outcomes (ePRO) system.

Read the Full Abstract