Nurse Practitioner

Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children

Description

The study will develop and implement a validated machine learning model to optimize voiding cystourethrogram timing and use for diagnosing vesicoureteral reflux (VUR) in children, aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections (fUTIs) by standardizing practices, minimizing unnecessary procedures, and ensuring timely diagnosis for those at highest risk, ultimately seeking to prevent renal injury from fUTIs.

Grant Number
K08 HS029526
Principal Investigator(s)
Wang, Hsin-Hsiao Scott

Survey-based work system assessment to facilitate large-scale dissemination of healthcare quality improvement programs.

Citation
Xie A, Koontz DW, Voskertchian A, Fackler JC, Milstone AM, Woods-Hill CZ. Survey-based work system assessment to facilitate large-scale dissemination of healthcare quality improvement programs. Pediatr Qual Saf. 2020 Apr 9;5(2):e288. doi: 10.1097/pq9.0000000000000288. PMID: 32426645.
Principal Investigator
Xie, Anping
Project Name
Development of a Clinical Decision Support Tool for Facilitating Naturalistic Decision Making and Improving Blood Culture Utilization

Information needs and requirements for decision support in primary care: an analysis of chronic pain care.

Citation
Harle CA, Apathy NC, Cook RL, Danielson EC, DiIulio J, Downs SM, Hurley RW, Mamlin BW, Militello LG, Anders S. Information needs and requirements for decision support in primary care: an analysis of chronic pain care. AMIA Annu Symp Proc. 2018 Dec 5;2018:527-534. PMID: 30815093.
Principal Investigator
Harle, Christopher Albert
Project Name
Designing User-Centered Decision Support Tools for Chronic Pain in Primary Care

Decision-centered design of patient information visualizations to support chronic pain care.

Citation
Harle CA, DiIulio J, Downs SM, Danielson EC, Anders S, Cook RL, Hurley RW, Mamlin BW, Militello LG. Decision-centered design of patient information visualizations to support chronic pain care. Appl Clin Inform. 2019 Aug;10(4):719-728. doi: 10.1055/s-0039-1696668. Epub 2019 Sep 25. PMID: 31556075.
Principal Investigator
Harle, Christopher Albert
Project Name
Designing User-Centered Decision Support Tools for Chronic Pain in Primary Care

An analysis of primary care clinician communication about risk, benefits, and goals related to chronic opioid therapy.

Citation
Danielson EC, Mazurenko O, Andraka-Christou BT, DiIulio J, Downs SM, Hurley RW, Harle CA. An analysis of primary care clinician communication about risk, benefits, and goals related to chronic opioid therapy. MDM Policy Pract. 2019 Dec 10;4(2):2381468319892572. doi: 10.1177/2381468319892572. PMID: 31853506.
Principal Investigator
Harle, Christopher Albert
Project Name
Designing User-Centered Decision Support Tools for Chronic Pain in Primary Care

Patient and clinician perspectives on a patient-facing dashboard that visualizes patient reported outcomes in rheumatoid arthritis.

Citation
Liu LH, Garrett SB, Li J, Ragouzeos D, Berrean B, Dohan D, Katz PP, Barton JL, Yazdany J, Schmajuk G. Patient and clinician perspectives on a patient-facing dashboard that visualizes patient reported outcomes in rheumatoid arthritis. Health Expect. 2020 Aug;23(4):846-859. doi: 10.1111/hex.13057. Epub 2020 Apr 9. PMID: 32270591.
Principal Investigator
Schmajuk, Gabriela
Project Name
Incorporating PRO Data Into RA Clinical Encounters Using Health-IT (PACT)

Health Information Technology and Provider Communication

Description
This is a questionnaire designed to be completed by physicians, nurse practitioners, and physician assistants in a perioperative/operative and hospital setting. The tool includes questions to assess the current state of health information technology including clinical documentation, computerized provider order entry systems, clinical decision support systems, hardware, mobile devices, secure messaging, text messaging, and EHRs/EMR.
Year of Survey
2015