Observational Study

Implementation of an EHR-integrated web-based depression assessment in primary care: PORTAL-Depression.

Citation
Franco MI, Staab EM, Zhu M, Deehan W, Moses J, Gibbons R, Vinci L, Shah S, Yohanna D, Beckman N, Laiteerapong N. Implementation of an EHR-integrated web-based depression assessment in primary care: PORTAL-Depression. JAMIA Open. 2024 Sep 24;7(3):ooae094. doi: 10.1093/jamiaopen/ooae094. PMID: 39473829; PMCID: PMC11519040.
Principal Investigator
Laiteerapong, Neda
Project Name
Patient Outcomes Reporting for Timely Assessments of Life with Depression: PORTAL-Depression

Downstream emergency department and hospital utilization comparably low following in-person versus telemedicine primary care for high-risk conditions.

Citation
Sax DR, Kene MV, Huang J, Gopalan A, Reed ME. Downstream emergency department and hospital utilization comparably low following in-person versus telemedicine primary care for high-risk conditions. J Gen Intern Med. 2024 Oct;39(13):2446-2453. doi: 10.1007/s11606-024-08885-6. Epub 2024 Jul 12. PMID: 38997530; PMCID: PMC11436570.
Principal Investigator
Reed, Mary
Project Name
Patient Choice of Telemedicine Encounters

Primary care telemedicine and care continuity: Implications for timeliness and short-term follow-up healthcare.

Citation
Graetz I, Huang J, Gopalan A, Muelly E, Millman A, Reed ME. Primary care telemedicine and care continuity: Implications for timeliness and short-term follow-up healthcare. J Gen Intern Med. 2024 Oct;39(13):2454-2460. doi: 10.1007/s11606-024-08914-4. Epub 2024 Jul 17. PMID: 39020223; PMCID: PMC11436533.
Principal Investigator
Reed, Mary
Project Name
Patient Choice of Telemedicine Encounters

Comparison of short-term health care utilization between telemedicine-delivered vs in-person care visits for heart failure.

Citation
Casey SD, Sax DR, Mark DG, Rana JS, Solomon MD, Huang J, Reed ME. Comparison of short-term health care utilization between telemedicine-delivered vs in-person care visits for heart failure. JACC Adv. 2024 May 2;3(6):100969. doi: 10.1016/j.jacadv.2024.100969. PMID: 38938856; PMCID: PMC11198545.
Principal Investigator
Reed, Mary
Project Name
Patient Choice of Telemedicine Encounters

Effect of integration of prescription drug monitoring program data in the electronic health record on queries by primary care providers.

Citation
Hartung DM, Kassakian SZ, Hendricks MA. Effect of integration of prescription drug monitoring program data in the electronic health record on queries by primary care providers. Health Informatics J. 2024 Apr-Jun;30(2):14604582241259337. doi: 10.1177/14604582241259337. PMID: 38838647.
Principal Investigator
Hartung, Daniel
Project Name
Prescription Drug Monitoring Program Integration in the Electronic Health Record

An Evaluation of the Spread and Scale of PatientToc™ from Primary Care to Community Pharmacy Practice for the Collection of Patient-Reported Outcomes – Final Report

Citation
Snyder M. An Evaluation of the Spread and Scale of PatientToc™ from Primary Care to Community Pharmacy Practice for the Collection of Patient-Reported Outcomes – Final Report. (Prepared by Purdue University under Grant No. R18 HS025943). Rockville, MD: Agency for Healthcare Research and Quality, 2024.
Principal Investigator
Snyder, Margie E.
Project Name
An Evaluation of the Spread and Scale of PatientToc™ From Primary Care to Community Pharmacy Practice for the Collection of Patient-Reported Outcomes

"Am I OK?" using human centered design to empower rheumatoid arthritis patients through patient reported outcomes.

Citation
Ragouzeos D, Gandrup J, Berrean B, Li J, Murphy M, Trupin L, Yazdany J, Schmajuk G. "Am I OK?" using human centered design to empower rheumatoid arthritis patients through patient reported outcomes. Patient Educ Couns. 2019 Mar;102(3):503-510. doi: 10.1016/j.pec.2018.10.016. Epub 2018 Oct 28. PMID: 30446358; PMCID: PMC6421089.
Principal Investigator
Schmajuk, Gabriela
Project Name
Incorporating PRO Data Into RA Clinical Encounters Using Health-IT (PACT)

Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU.

Citation
Sikora A, Zhang T, Murphy DJ, Smith SE, Murray B, Kamaleswaran R, Chen X, Buckley MS, Rowe S, Devlin JW. Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. Sci Rep. 2023 Nov 10;13(1):19654. doi: 10.1038/s41598-023-46735-3. PMID: 37949982; PMCID: PMC10638304.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction