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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedSamal L, Fu HN, Camara DS
AHRQ Author: Camara DS, Wang J, Bierman AS
Health information technology to improve care for people with multiple chronic conditions.
The objective of this study was to review evidence regarding the use of Health Information Technology (health IT) interventions aimed at improving care for people living with multiple chronic conditions (PLWMCC) in order to identify critical knowledge gaps. The investigators concluded that the body of literature included in this review provides critical information on the state of the science as well as the many gaps that need to be filled for digital health to fulfill its promise in supporting care delivery that meets the needs of PLWMCC.
AHRQ-authored; AHRQ-funded; HS026849; 290201600001B.
Citation: Samal L, Fu HN, Camara DS .
Health information technology to improve care for people with multiple chronic conditions.
Health Serv Res 2021 Oct;56(Suppl 1):1006-36. doi: 10.1111/1475-6773.13860..
Keywords: Chronic Conditions, Health Information Technology (HIT), Evidence-Based Practice, Shared Decision Making, Healthcare Delivery
Harle CA, DiIulio J, Downs SM
Decision-centered design of patient information visualizations to support chronic pain care.
The objective of this study was to describe a decision-centered design process, and resultant interactive patient information displays, to support key clinical decision requirements in chronic noncancer pain care. Through critical decision method interviews and a half-day multidisciplinary design workshop, researchers designed an interactive prototype, the Chronic Pain Treatment Tracker. This prototype summarizes the current treatment plan, past treatment history, potential future treatments, and treatment options that require caution. The researchers concluded that the Chronic Pain Treatment Tracker presents clinicians with the information they need in a structure that promotes quick uptake, understanding, and action.
AHRQ-funded; HS023306.
Citation: Harle CA, DiIulio J, Downs SM .
Decision-centered design of patient information visualizations to support chronic pain care.
Appl Clin Inform 2019 Aug;10(4):719-28. doi: 10.1055/s-0039-1696668..
Keywords: Pain, Chronic Conditions, Shared Decision Making, Health Information Technology (HIT), Clinical Decision Support (CDS), Care Management, Healthcare Delivery