Research

Evidence-based insights, updates, and use cases from Tenovi’s work in remote patient monitoring (RPM), remote therapeutic monitoring (RTM), and value-based care models.

Managing hypertension in pregnancy

Managing Hypertension in Pregnancy with RPM: Findings from Recent Studies

Conditions, Research /

Managing hypertension in pregnancy is crucial for ensuring maternal and fetal health. Hypertensive disorders affect about 1 in every 12 to 17 pregnant women in the U.S., and pose significant risks if left unmanaged. This is because elevated blood pressure can lead to preeclampsia, stroke, preterm delivery, and even maternal death if not detected early. […]

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digital health for cancer care

Research in Digital Health Innovations for Cancer Care

Conditions, Research /

Cancer treatment is complex and involves many challenges for patients, caregivers, and healthcare providers. Digital health interventions have become valuable tools to support patients throughout their cancer care experience. The Digital Innovations in Cancer Care survey conducted by the Association of Community Cancer Centers (ACCC) provides insights into how digital health tools are being used

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cardiac remote patient monitoring

New Research & Guidance into Cardiac Remote Patient Monitoring

Research /

Remote patient management technologies have been shown to improve cardiac patient care outcomes and reduce healthcare costs. The American College of Cardiology (ACC) has highlighted the importance of remote patient technology. Additionally,  a study published in Telemedicine and e-Health touches on research into telenursing and cardiac remote patient monitoring. Cardiac Remote Patient Monitoring — ACC

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remote patient monitoring cost savings

Remote Patient Monitoring Cost Savings in Acute Heart Patients

Research /

Healthcare systems have increasingly moved toward home-based models to assist in managing complex cardiac cases. The following article explores the findings of federal research on the Acute Hospital Care at Home (AHCAH) initiative conducted in 2024. The research covers remote patient monitoring cost savings and its impact on the quality of care for acute heart

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lowering heart failure readmission rates

Leveraging RPM to Reduce Heart Failure Readmission Rates

Conditions, Research /

Heart failure readmission rates remain a significant challenge in healthcare, particularly within 30 days post-discharge. Remote patient monitoring (RPM) empowers care teams to intervene early and manage heart failure patients more effectively. Research shows that RPM reduces readmission rates. This article explores how RPM programs have successfully reduced heart failure rehospitalizations, drawing on research and real-world

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heart failure management at home

Is Hospital-at-Home Effective for Heart Failure Patients?

Research /

A study published on the effectiveness of Cleveland Clinic’s hospital-at-home (HaH) program for patients with acute heart failure (AHF), gives insight into the feasibility, safety, and quality of a virtual care model compared to a traditional hospital setting. By integrating elements of heart failure management at home, this program demonstrates a growing approach to addressing

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RPM Payer Solutions

RPM Payer Solutions: Cost Containment, Quality, Member Engagement & ROI

Benefits, Research /

Payer solutions using digital health technologies such as remote patient monitoring (RPM) are standing out for achieving the triple aim of healthcare: improving the patient experience, improving population health, and reducing per capita costs. With continuous, real-time monitoring of members outside of traditional clinical settings, advanced payer solutions such as RPM allow health plans to

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digital heath technologies examples in research

5 Dynamic Examples of Digital Health Technologies

Research /

Digital health technologies offer patients opportunities to monitor and manage their health while healthcare providers can deliver more personalized and efficient care. From remote patient monitoring (RPM) devices to the integration of artificial intelligence (AI) and mobile health applications, the landscape of digital health is continually evolving. This article explores telemedicine research in digital health

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