# Center for Innovation in Sleep Self-Management- Informatics Core

> **NIH NIH P30** · UNIVERSITY OF WASHINGTON · 2020 · $129,160

## Abstract

Informatics and Patient-Centered Technologies (IPCT) Core
ABSTRACT
Efforts to target the development and testing of self-management interventions to assist adults and children to
obtain adequate, good quality sleep is timely and important, especially for those living with a chronic illness.
The mission of the CISSM is to design and test innovative and tailored self-management interventions to assist
people across the lifespan to sleep better and simultaneously improve health, well-being, and quality of life.
The Informatics and Patient-Centered Technologies (IPCT) Core is integral to meeting the Center's mission by
fostering innovation and the integration of informatics methods and novel patient-centered technologies into
tailored sleep self-management interventions. The IPCT Core will provide CISSM investigators with expertise
and resources regarding the collection, maintenance and analysis of common data elements (CDEs) in patient-
reported outcomes and self-management, actigraphy, large monitoring data and other complex data sets as
well as facilitate the selection of existing and the design of new patient-centered technologies that can be
integrated into self-management interventions for sleep deficiency.

## Key facts

- **NIH application ID:** 9955329
- **Project number:** 5P30NR016585-05
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** George Demiris
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $129,160
- **Award type:** 5
- **Project period:** — → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9955329

## Citation

> US National Institutes of Health, RePORTER application 9955329, Center for Innovation in Sleep Self-Management- Informatics Core (5P30NR016585-05). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/9955329. Licensed CC0.

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