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Search All Research Studies
AHRQ Research Studies Date
Topics
- (-) Care Management (4)
- Children/Adolescents (1)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (1)
- Communication (1)
- Community-Based Practice (1)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (2)
- (-) Health Information Technology (HIT) (4)
- Inpatient Care (2)
- Obesity (1)
- Obesity: Weight Management (1)
- Outcomes (1)
- Pain (1)
- Patient Safety (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedMichelson KA, Ho T, Pelletier A
A mobile, collaborative, real time task list for inpatient environments.
The researchers created a mobile, collaborative, real-time task list application on the iOS platform. They then described their experience designing and piloting the application with an inpatient pediatric ward team at an academic pediatric hospital. They found that physicians preferred the immediacy and familiarity of paper, and did not experience an efficiency benefit when using the electronic tasklist.
AHRQ-funded; HS000063.
Citation: Michelson KA, Ho T, Pelletier A .
A mobile, collaborative, real time task list for inpatient environments.
Appl Clin Inform 2015 Nov 18;6(4):677-83. doi: 10.4338/aci-2015-05-cr-0050.
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Keywords: Care Management, Communication, Health Information Technology (HIT), Inpatient Care, Health Information Technology (HIT)
Juckett DA, Davis FN, Gostine M
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
The researchers aimed to build a phenotype-to-outcome model targeting chronic pain to be used to drive clinical decision support for pain medicine in the community setting. Exploratory factor analysis of the intake Pain Health Assessment revealed 15 orthogonal factors representing pain levels; physical, social, and emotional functions; the effects of pain on these functions; vitality and health; and measures of outcomes and satisfaction.
AHRQ-funded; HS022335.
Citation: Juckett DA, Davis FN, Gostine M .
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
BMC Med Inform Decis Mak 2015 May 28;15:41. doi: 10.1186/s12911-015-0164-4..
Keywords: Care Management, Chronic Conditions, Community-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes, Pain
Shaikh U, Berrong J, Nettiksimmons J
Impact of electronic health record clinical decision support on the management of pediatric obesity.
The investigators assessed the impact of electronic health record-based clinical decision support in improving the diagnosis and management of pediatric obesity. They found a statistically significant increase in the diagnosis of overweight/obesity, scheduling of follow-up appointments, frequency of ordering recommended laboratory investigations, and assessment and counseling for nutrition and physical activity.
AHRQ-funded; HS018567.
Citation: Shaikh U, Berrong J, Nettiksimmons J .
Impact of electronic health record clinical decision support on the management of pediatric obesity.
Am J Med Qual 2015 Jan-Feb;30(1):72-80. doi: 10.1177/1062860613517926.
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Keywords: Care Management, Children/Adolescents, Clinical Decision Support (CDS), Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Obesity, Obesity: Weight Management
Banerjee T, Enayati M, Keller JM
Monitoring patients in hospital beds using unobtrusive depth sensors.
The researchers presented an approach for patient activity recognition in hospital rooms using depth data collected using a Kinect sensor. They described a technique to reduce false alerts such as pillows falling off the bed or equipment movement. They tested their algorithm on 96 hours obtained in two hospital rooms from the University of Missouri Hospital.
AHRQ-funded; HS018477.
Citation: Banerjee T, Enayati M, Keller JM .
Monitoring patients in hospital beds using unobtrusive depth sensors.
Conf Proc IEEE Eng Med Biol Soc 2014;2014:5904-7. doi: 10.1109/embc.2014.6944972.
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Keywords: Care Management, Inpatient Care, Health Information Technology (HIT), Patient Safety