Dashboard

Multicomponent provider-patient intervention to improve glycaemic control in Medicaid-insured pregnant individuals with type 2 diabetes: Clinical trial protocol for the ACHIEVE study.

Citation

Venkatesh KK, Joseph JJ, Swoboda C, Strouse R, Hoseus J, Baker C, Summerfield T, Bartholomew A, Buccilla L, Pan X, Sieck C, McAlearney AS, Huerta TR, Fareed N. Multicomponent provider-patient intervention to improve glycaemic control in Medicaid-insured pregnant individuals with type 2 diabetes: Clinical trial protocol for the ACHIEVE study. BMJ Open. 2023 May 10;13(5):e074657. doi: 10.1136/bmjopen-2023-074657. PMID: 37164461; PMCID: PMC10173964.

Principal Investigator

Fareed, Naleef

Joseph, Joshua J

Venkatesh, Kartik Kailas

Project Name

ACHIEVE: Successfully Achieving and Maintaining Euglycemia During Pregnancy for Type 2 Diabetes Through Technology and Coaching

Managing multiple perspectives in the collaborative design process of a team health information technology.

Citation

Hose BZ, Carayon P, Hoonakker PLT, Ross JC, Eithun BL, Rusy DA, Kohler JE, Brazelton TB 3rd, Dean SM, Kelly MM. Managing multiple perspectives in the collaborative design process of a team health information technology. Appl Ergon. 2023 Jan;106:103846. doi: 10.1016/j.apergo.2022.103846. Epub 2022 Aug 16. PMID: 35985249; PMCID: PMC10024924.

Principal Investigator

Gurses, Ayse Pinar

Project Name

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

Developing and testing an integrated patient mHealth and provider dashboard application system for type 2 diabetes management among Medicaid-enrolled pregnant individuals based on a user-centered approach: Mixed-methods study.

Citation

Fareed N, Swoboda C, Singh P, Boettcher E, Wang Y, Venkatesh K, Strouse R. Developing and testing an integrated patient mHealth and provider dashboard application system for type 2 diabetes management among Medicaid-enrolled pregnant individuals based on a user-centered approach: Mixed-methods study. Digit Health. 2023 Jan 9;9:20552076221144181. doi: 10.1177/20552076221144181. PMID: 36644662; PMCID: PMC9834416.

Principal Investigator

Fareed, Naleef

Joseph, Joshua J

Venkatesh, Kartik Kailas

Project Name

ACHIEVE: Successfully Achieving and Maintaining Euglycemia During Pregnancy for Type 2 Diabetes Through Technology and Coaching

Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

Description

This research will develop and validate machine learning enhanced predictive models improving the allocation of critical care pharmacists to intensive care units to reduce adverse drug events.

Grant Number

R21 HS028485

Principal Investigator(s)

Sikora, Andrea

Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

Description

This research will use artificial intelligence and machine learning to create prediction tools integrated into visualization dashboards to guide critical care pharmacists in preventing adverse drug events.

Grant Number

R01 HS029009

Principal Investigator(s)

Sikora, Andrea

Clinical quality measure exchange is not easy.

Citation

Phillips RL, Peterson L, Palen TE, Fields SA, Parchman ML, Johannides J. Clinical quality measure exchange is not easy. Ann Fam Med. 2021 May-Jun;19(3):207-211. doi: 10.1370/afm.2649. Epub 2021 May 10. PMID: 34180839; PMCID: PMC8118486.

Principal Investigator

Phillips, Robert

Project Name

Trial of Aggregate Data Extraction for Maintenance of Certification and Raising Quality

ACHIEVE: Successfully Achieving and Maintaining Euglycemia During Pregnancy for Type 2 Diabetes Through Technology and Coaching

Description

To assist pregnant individuals with pre-pregnancy type 2 diabetes with Medicaid coverage in reaching and maintaining normal blood sugars, this research will develop, test, and evaluate a digital health solution called ACHIEVE that includes a mobile health application, a provider dashboard, continuous glucose monitoring, and team-based coaching for medical needs and nonmedical health-related social needs.

Grant Number

R01 HS028822

Principal Investigator(s)

Fareed, Naleef

Joseph, Joshua J

Venkatesh, Kartik Kailas

COMputerized PAtient-centered Collaborative Technology (COMPACT) to Support Personalized Decision Making in Breast Cancer

Description

This research will develop and evaluate a COMputerized PAtient-centered Collaborative Technology (COMPACT) to support personalized breast cancer decision making.

Grant Number

K01 HS029042

Principal Investigator(s)

Salwei, Megan Elizabeth

TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in ARDS - Final Report

Citation

Gong M. TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in ARDS - Final Report. (Prepared by Albert Einstein College of Medicine under Grant No. R18 HS026188). Rockville, MD: Agency for Healthcare Research and Quality, 2022.

Principal Investigator

Gong, Michelle

Project Name

TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in Acute Respiratory Distress Syndrome

Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE PRO) Dissemination Project - Final Report

Citation

Yazdany J. Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE PRO) Dissemination Project - Final Report. (Prepared by University of California, San Francisco under Grant No. R18 HS025638. Rockville, MD: Agency for Healthcare Research and Quality, 2022.

Principal Investigator

Yazdany, Jinoos

Project Name

Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE PRO) Dissemination Project

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