Improving the patient experience throughout the cancer journey
Elicit patient preferences, clinical trial interest & physical/psychosocial issues, and quantify risk to optimize treatment decisions.
- Patient risk stratification
- Shared-decision making
- IOM Care Management Plans
- Advance care planning/advance directives
- Clinical trial matching
REMOTE SYMPTOM MONITORING
Monitor patient’s self-reported symptoms remotely. Studies have shown this can, which has been shown in multiple studies to extend time-on-treatment and overall survival, improve quality of life, and decrease emergency room visits and hospitalizations.
- Symptom self-management plans
- Symptom trending dashboards
POST TREATMENT CARE
Continuously monitor patient-reported late effects of treatment and coordinate care and services, including diagnostic tests to detect new or recurrent cancers.
- Survivorship care plans
- Remote recurrence monitoring
Access aggregated patient experience data and benchmarking for continuous quality improvement. RWE data to support oncology pragmatic research.
- Population health management
- Continuous practice improvement
Overcoming Barriers to Adoption
“Technology barriers have been almost nonexistent.”
Minimizing Disruption to Operations
“We had minimal issues recruiting patients, getting them enrolled, and pushing out the survey questionnaires.”
Supportive One-on-One Physician Training
“It’s a relatively simple process for physicians to go through.”
Close Monitoring of Patient Engagement
“Patients are more engaged in their care, especially those in the initial phases of treatment.”
The Carevive Approach
We leverage your existing EHR technology & patient portal for seamless embedded integration ensuring no disruptions in clinical workflow featuring personalized and intuitive patient and provider user interfaces.
Driven by patient data
Building an end-to-end intelligent platform to support efficient capture and sharing of patient data and combining it with EHR data throughout the patient journey. Real-time exchange of patient data drives patient content and provider decision-making. Data drives continuous process improvement and learning.
Based upon real-world evidence – we maintain and do the heavy lifting to ensure clinical content is accurate and up-to-date.