Remote patient monitoring for value based care organizations provides cost-effective actionable insights and patient engagement in order to prioritize outreach.
Value-based Telehealth Problems and Our Solution
- RPM solutions are too complex
- Not scalable or efficient
- Expensive, prohibitive pricing
- Expensive, hard to use devices
- Limited disease/condition use cases
- Easy to use, patient focussed solution
- Scalable to 1,000,000 + patients
- Less than $10 per patient per 30 days
- Use existing devices, or none at all
- Works with ALL chronic health conditions, mental health conditions, and ancillary health needs
- 24/7 operation by State licensed RN’s
- Individualized care plans
- Multimode patient communication (call, message, app, portal, video, etc)
Monitoring Solutions to Support Value Based Care
If you need to …
- Improve Value Based Care Metrics
- Minimize ED Utilization
- Boost Patient Engagement
An Individualized and Customized Patient Experience
Chronic Condition Management
- Asthma
- COPD
- Diabetes
- Diabetes (Insulin Dependent)
- Dialysis
- Epilepsy
- Gestational Diabetes
- Heart Failure
- Hypertension
Complementary Support
- Basic Patient Needs
- Caregiver Support
- Fall Risk
- Healthy Living
- Heart Risk
- Med Adherence
- Medication Tracking
- Wellness
Behavioral Health
Screening Reminders
- Colorectal Cancer
- Breast Cancer
- Cervical Cancer
- Diabetes Ophthalmology
- Chlamydia Screening
- Lead Screening
- COVID
Discharge Support
- Pneumonia
- Post Discharge
- Referral
- Surgery
Maternal Health
- Breastfeeding
- Breastfeeding (Self-Manage)
- Post Partum Depression
- Fetal Monitoring
Real Time Risk Monitoring
- Question/Answer workflow with embedded clinical measurement
- Easy to use App and Web Portal
- Use existing patient devices
Measure vital signs, including:
- Blood saturation / pulse
- Respiration rate
- Blood Pressure
- Weight
- Blood Glucose
- ECG / CTG
- Lung function
- Continuous glucose measurement
- Temperature
- Glucose / Protein in urine
- CRP
- Hemoglobin
Personalized Patient Experience and Monitoring Plan
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References:
Stefan Wagner and Esben Hunnerup. 2017. OpenTele+ for extending telemedicine with pervasive healthcare features. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth ’17). Association for Computing Machinery, New York, NY, USA, 482–483. DOI:https://doi.org/10.1145/3154862.3154903
S. Wagner and E. Hunnerup, “Ambient Assisted Living Ecosystem for Supporting Senior Citizens’ Human System Interaction,” 2018 11th International Conference on Human System Interaction (HSI), 2018, pp. 221-225, doi: 10.1109/HSI.2018.8431357.
Passive Monitoring for Senior Living
QVNTRA monitors resident’s wellness and safety around the clock. We help care professionals scale their most valuable superpower – caring for our elderly loved ones.
Food Prescriptions
Food prescriptions are part of a broader concept of social prescribing. Pioneered in the United Kingdom and growing in popularity in the United States and Canada, social prescriptions are issued by health-care practitioners to provide patients with non-pharmaceutical interventions, including dance classes, walking groups, volunteer work, art lessons and, of course, fresh fruits and vegetables.
Medical Nutrition Therapy
Medical nutrition therapy (MNT) is a key component of diabetes education and management. MNT is defined as a “nutrition-based treatment provided by a registered dietitian nutritionist.” It includes “a nutrition diagnosis as well as therapeutic and counseling services to help manage diabetes.
Heart Disease Risk
Heart disease risk from saturated fats may depend on what foods they come from – new research.
Remote Patient Monitoring for Value Based Care
Remote monitoring for value based care organizations. CENSON Health RPM provides actionable insights and patient engagement to prioritize outreach.
Key Components of a Tech-Enabled RPM Program
Remote Patient Monitoring (RPM) is not the cure-all to every issue in healthcare. But recent developments in AI and machine learning are able to solve for many of the challenges previously experienced with traditional RPM solutions.
