# Noninvasive Adherence-independent Longitudinal Remote Chronic Disease Monitoring and Exacerbation Inference

> **NIH NIH R21** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2020 · $236,250

## Abstract

Abstract:
The 30-day hospital readmission rate in the U.S. exceeds 3 million patients per year with cost estimates
exceeding $40B. More than 10% of these hospitalizations are considered preventable. Chronic and recurrent
cardiopulmonary diseases (heart failure, pneumonia, COPD, cardiac dysrhythmias, acute myocardial
infarction) are among the most common causes of rehospitalization. Heart failure alone affects more than 6
million US patients, is responsible for >1 million hospitalizations annually, and is associated with remarkably
high hospital readmission rates (~25% at 30 days; ~50% by 6 months). Intense focus has centered on
improving outpatient disease management using remote monitoring during vulnerable periods (immediately
after hospital discharge) and in vulnerable underserved populations. Despite its promise, the utility of remote
health monitoring has been limited by lack of adherence to patient self-measurement and data transmission.
Even implantable devices often require patient-initiated data transmission. We propose a noninvasive and fully
adherence-independent in-home monitor of cardiopulmonary clinical biomarkers with fully automated data
transmission. By overcoming the compliance barrier, the sensing platform enables reliable longitudinal
measurement with potential to infer signatures of impending hospitalizations. The proposed R21 will 1) deploy
the technology into the homes of patients discharged after a hospitalization for heart failure exacerbation with
volume overload, and 2) perform longitudinal monitoring to generate data that will be used for inference and
patient feedback. If successful, this real-world pilot data will inform design of a formal observational trial to infer
signatures of chronic disease decompensation and impending need for hospitalization.

## Key facts

- **NIH application ID:** 9896693
- **Project number:** 1R21NR018558-01A1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** Kevin R King
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $236,250
- **Award type:** 1
- **Project period:** 2020-02-20 → 2022-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9896693

## Citation

> US National Institutes of Health, RePORTER application 9896693, Noninvasive Adherence-independent Longitudinal Remote Chronic Disease Monitoring and Exacerbation Inference (1R21NR018558-01A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9896693. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*