Journal Publication

Patient perspectives on a patient-facing tool for lung cancer screening.

Citation
Tiase VL, Richards G, Taft T, Stevens L, Balbin C, Kaphingst KA, Fagerlin A, Caverly T, Kukhareva P, Flynn M, Butler JM, Kawamoto K. Patient perspectives on a patient-facing tool for lung cancer screening. Health Expect. 2024 Aug;27(4):e14143. doi: 10.1111/hex.14143. PMID: 38992907; PMCID: PMC11239535.
Principal Investigator
Kawamoto, Kensaku
Project Name
Engaging Patients to Enable Interoperable Lung Cancer Decision Support at Scale

Implementation of lung cancer screening in primary care and pulmonary clinics: Pragmatic clinical trial of electronic health record-integrated everyday shared decision making tool and clinician-facing prompts.

Citation
Kukhareva PV, Li H, Caverly TJ, Del Fiol G, Fagerlin A, Butler JM, Hess R, Zhang Y, Taft T, Flynn MC, Reddy C, Martin DK, Rodriguez-Loya S, Warner PB, Kawamoto K. Implementation of lung cancer screening in primary care and pulmonary clinics: Pragmatic clinical trial of electronic health record-integrated everyday shared decision making tool and clinician-facing prompts. Chest. 2023 May 2:S0012-3692(23)00641-4. doi: 10.1016/j.chest.2023.04.040. Epub ahead of print. PMID: 37142092.
Principal Investigator
Kawamoto, Kensaku
Project Name
Scalable Decision Support and Shared Decision Making for Lung Cancer Screening

Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening.

Citation
Stevens ER, Caverly T, Butler JM, Kukhareva P, Richardson S, Mann DM, Kawamoto K. Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening. J Biomed Inform. 2023 Nov;147:104525. doi: 10.1016/j.jbi.2023.104525. Epub 2023 Oct 14. PMID: 37844677.
Principal Investigator
Kawamoto, Kensaku
Project Name
Engaging Patients to Enable Interoperable Lung Cancer Decision Support at Scale

Effectiveness of a digital health intervention leveraging reinforcement learning: Results from the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) randomized clinical trial.

Citation
Aguilera A, Arévalo Avalos M, Xu J, Chakraborty B, Figueroa C, Garcia F, Rosales K, Hernandez-Ramos R, Karr C, Williams J, Ochoa-Frongia L, Sarkar U, Yom-Tov E, Lyles C. Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) Randomized Clinical Trial. J Med Internet Res. 2024 Oct 8;26:e60834. doi: 10.2196/60834. PMID: 39378080; PMCID: PMC11496924.
Principal Investigator
Aguilera, Adrian
Project Name
Improving Diabetes and Depression Self-Management Via Adaptive Mobile Messaging

Opening the black box of an mHealth patient-reported outcome tool for diabetes self-management: Interview study among patients with type 2 diabetes.

Citation
Marini C, Cruz J, Payano L, Flores RP, Arena GM, Mandal S, Leven E, Mann D, Schoenthaler A. Opening the Black Box of an mHealth Patient-Reported Outcome Tool for Diabetes Self-Management: Interview Study Among Patients With Type 2 Diabetes. JMIR Form Res. 2023 Sep 19;7:e47811. doi: 10.2196/47811. PMID: 37725427; PMCID: PMC10548328.
Principal Investigator
Schoenthaler, Antoinette
Mann, Devin M
Project Name
i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data into Diabetes Management

Dynamic reaction picklist for improving allergy reaction documentation: A usability study.

Citation
Wang L., Park H., Vallamkonda S., Seger DL., Blackley SV., Garabedian PM., Goss F., Blumenthal KG., Bates DW., Murphy S, Zhou L. Dynamic reaction picklist for improving allergy reaction documentation: A usability study. Int J of Med Inform. 2023 Feb;170:104939. doi.org/10.1016/j.ijmedinf.2022.104939.Epub 2022 Dec 5. PMID:36529027; PMCID: PMC10167939.
Principal Investigator
Zhou, Li
Project Name
Improving Allergy Documentation and Clinical Decision Support in the Electronic Health Record

Advancing patient-centered clinical decision support in today's health care ecosystem: key themes from the Clinical Decision Support Innovation Collaborative's 2023 Annual Meeting.

Citation
Dullabh P, Dhopeshwarkar R, Cope E, Gauthreaux N, Zott C, Peterson C, Leaphart D, Hoyt S, Hammer A, Ryan S, Swiger J, Lomotan EA, Desai P; CDSiC Annual Meeting Planning Committee. Advancing patient-centered clinical decision support in today's health care ecosystem: key themes from the Clinical Decision Support Innovation Collaborative's 2023 Annual Meeting. JAMIA Open. 2024 Oct 23;7(4):ooae109. doi: 10.1093/jamiaopen/ooae109. PMID: 39445034; PMCID: PMC11498195.
Principal Investigator
Dullabh, Prashila
Project Name
Clinical Decision Support Innovation Collaborative (CDSiC)