Data Visualization

Patient perceptions of an electronic-health-record-based rheumatoid arthritis outcomes dashboard: A mixed-methods study.

Citation

Nasrallah C, Wilson C, Hamblin A, Hariz C, Young C, Li J, Yazdany J, Schmajuk G. Patient perceptions of an electronic-health-record-based rheumatoid arthritis outcomes dashboard: A mixed-methods study. BMC Med Inform Decis Mak. 2024 Oct 12;24(1):302. doi: 10.1186/s12911-024-02696-9. PMID: 39395970; PMCID: PMC11470722.

Principal Investigator

Schmajuk, Gabriela

Project Name

Incorporating PRO Data Into RA Clinical Encounters Using Health-IT (PACT)

A step-by-step roadmap for the development and deployment of an electronic health record sidecar application that tracks patient outcomes: The RA PRO dashboard.

Citation

Schmajuk G, Nasrallah C, Berrean B, Prugh J, Wilson C, Hamblin A, Young C, Jacobsohn L, Kay J, Li J, Kersey E, Subash M, Murray S, Yazdany J. A step-by-step roadmap for the development and deployment of an electronic health record sidecar application that tracks patient outcomes: The RA PRO dashboard. Digit Health. 2024 Oct 10;10:20552076241288739. doi: 10.1177/20552076241288739. PMID: 39421306; PMCID: PMC11483702.

Principal Investigator

Schmajuk, Gabriela

Project Name

Incorporating PRO Data Into RA Clinical Encounters Using Health-IT (PACT)

LabGenie: A Patient-Engagement Tool to Aid Older Adults' Understanding of Lab Test Results

Description

The study will create, implement, and test a patient-centric web app to support older adults with chronic conditions in comprehending, managing, and acting upon their lab test results.

Grant Number

R21 HS029969

Principal Investigator(s)

He, Zhe

Lustria, Mia Liza A.

i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data into Diabetes Management - Final Report

Citation

Schoenthaler A., Mann D. i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data into Diabetes Management – Final Report. (Prepared by New York University School of Medicine under Grant No. R01 HS026522). Rockville, MD: Agency for Healthcare Research and Quality, 2023.

Principal Investigator

Schoenthaler, Antoinette

Mann, Devin M

Project Name

i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data into Diabetes Management

Incorporating PRO data into RA Clinical Encounters using Health-IT (PACT) - Final Report

Citation

Schmajuk G. Incorporating PRO data into RA Clinical Encounters using Health-IT (PACT) – Final Report. (Prepared by University of California, San Francisco under Grant No. R01 HS025405). Rockville, MD: Agency for Healthcare Research and Quality, 2024.

Principal Investigator

Schmajuk, Gabriela

Project Name

Incorporating PRO Data Into RA Clinical Encounters Using Health-IT (PACT)

Work system barriers and facilitators of a team health information technology.

Citation

Hose BZ, Carayon P, Hoonakker PLT, Brazelton TB 3rd, Dean SM, Eithun BL, Kelly MM, Kohler JE, Ross JC, Rusy DA. Work system barriers and facilitators of a team health information technology. Appl Ergon. 2023 Nov;113:104105. doi: 10.1016/j.apergo.2023.104105. Epub 2023 Aug 2. PMID: 37541103; PMCID: PMC10530583.

Principal Investigator

Gurses, Ayse Pinar

Project Name

Care Transitions and Teamwork in Pediatric Trauma: Implications for Health Information Technology Design

Investigation of a mobile health texting tool for embedding patient-reported data into diabetes management (i-Matter): Development and usability study.

Citation

Schoenthaler A, Cruz J, Payano L, Rosado M, Labbe K, Johnson C, Gonzalez J, Patxot M, Patel S, Leven E, Mann D. Investigation of a mobile health texting tool for embedding patient-reported data into diabetes management (i-Matter): Development and usability study. JMIR Form Res. 2020 Aug 31;4(8):e18554. doi: 10.2196/18554. PMID: 32865505; PMCID: PMC7490676.

Principal Investigator

Schoenthaler, Antoinette

Mann, Devin M

Project Name

i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data into Diabetes Management

A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide

Description

This research will develop and validate a clinician-facing longitudinal risk-prediction tool using self-reported data from US military service members and veterans, to assist clinicians in screening, evaluation, and timely intervention in suicide ideation and suicide attempts.

Grant Number

R03 HS029557

Principal Investigator(s)

Chiu, Chung-Yi

Gao, Xiaotian

Me, my health, and my watch: How children with ADHD understand smartwatch health data.

Citation

Ankrah E, Cibrian F, De Melo Silva L, Tavakoulnia A, Beltran JA, Schuck S, Lakes KD, & Hayes GR. Me, my health, and my watch: How children with ADHD understand smartwatch health data. ACM Trans Comput Hum Interact. 2023; 30(4), Article 59: 1-26. https://doi.org/10.1145/3577008

Principal Investigator

Lakes, Kimberley

Project Name

Digital Health Intervention for Children with ADHD: Improving Mental Health Intervention, Patient Experiences, and Outcomes

Patient judgments about hypertension control: The role of patient numeracy and graph literacy.

Citation

Shaffer VA, Wegier P, Valentine KD, Duan S, Canfield SM, Belden JL, Steege LM, Popescu M, Koopman RJ. Patient judgments about hypertension control: The role of patient numeracy and graph literacy. J Am Med Inform Assoc. 2022 Oct 7;29(11):1829-1837. doi: 10.1093/jamia/ocac129. PMID: 35927964; PMCID: PMC9552283.

Principal Investigator

Koopman, Richelle J.

Project Name

Optimizing Display of Blood Pressure Data To Support Clinical Decision Making