Technology Research in Chronic & Critical Illness

NIH RePORTER · NIH · T32 · $210,922 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY ABSTRACT The use of technology to monitor health, deliver health care and manage chronic and critical illness is becoming more and more pervasive. Technology is increasingly touted as transforming health care. The speed at which the technology field is advancing, combined with the burgeoning number of elders and persons living in the community with complex illnesses and disabilities, and undeniable health inequities, make it imperative that nurse scientists be prepared to examine the vital role of technology and clinical data science in promoting better patient health outcomes within an interdisciplinary context. The overarching goal of this training program remains to provide rigorous research training and interdisciplinary culturalization to build nursing science aimed at promoting health, managing illness, reducing disability, and enhancing quality of life through the aid of technology and clinical data science. For this renewal we now add a greater emphasis on leveraging technology, clinical data analytics and design-justice to reduce health disparities and promote health equity for vulnerable populations due to social inequalities. Based on the growing need for nurse researchers to lead interdisciplinary teams and contribute their unique domain expertise to these rapidly growing fields the specific aims of the training program are to provide: 1) the theoretical and conceptual foundations to support the development of a program of research that examines ways that technological solutions can be used to address unmet clinical needs by enabling the prevention, detection, prediction, or management of health-related problems, 2) the methodological skills to combine nursing domain knowledge and emerging clinical data science strategies to better understand complex health phenomena, 3) the knowledge and skill to incorporate equity and justice in designing technology and clinical data science studies in order to mitigate social inequalities and health disparities, while promoting health equity across groups and vulnerable populations and 4) skills to lead interdisciplinary teams to conduct research of impact that propels technology solutions and clinical data science along pathways of translation into practice or commercialization. Funding is requested to continue the program for five years to support three predoctoral and two postdoctoral trainees per year. Clearly, nurse researchers need to be able to examine the effectiveness, as well as the appropriateness, acceptability, and adherence of patients and providers to high-tech health solutions and collaborate with the multiple disciplines that contribute to such efforts. Unquestionably, this program will enable nurse trainees to be well-positioned to conduct innovative, state- of-the-art research in this growing field.

Key facts

NIH application ID
10844462
Project number
5T32NR008857-18
Recipient
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
Principal Investigator
Young Ji Lee
Activity code
T32
Funding institute
NIH
Fiscal year
2024
Award amount
$210,922
Award type
5
Project period
2005-07-01 → 2027-06-30