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Improving Influenza Vaccine Uptake in Acute Care Settings
Description:
This research aims to develop and evaluate a clinical decision support strategy to promote influenza vaccination among children who are hospitalized with the goal to identify insights that broadly apply to clinical decision support for health maintenance interventions in pediatric acute care settings.
Principal Investigator:
Project Dates:
August 1, 2020 to July 31, 2022
Opportunities and design considerations for peer support in a hospital setting.
Citation:
Haldar S, Mishra SR, Khelifi M, Pollack AH, Pratt W. Opportunities and design considerations for peer support in a hospital setting. Proc SIGCHI Conf Hum Factor Comput Syst. 2017 May;2017:867-879. doi: 10.1145/3025453.3026040. PMID: 29051925.
Principal Investigator:
Must we bust the trust?: Understanding how the clinician-patient relationship influences patient engagement in safety.
Citation:
Mishra SR, Haldar S, Khelifi M, Pollack AH, Wanda P. Must we bust the trust?: Understanding how the clinician-patient relationship influences patient engagement in safety. AMIA Annu Symp Proc. 2018 Dec 5;2018:1425-1434. PMID: 30815187.
Principal Investigator:
Use and impact of an online community for hospital patients.
Citation:
Haldar S, Mishra SR, Kim Y, Hartzler A, Pollack AH, Pratt W. Use and impact of an online community for hospital patients. J Am Med Inform Assoc. 2020 Apr 1;27(4):549-557. doi: 10.1093/jamia/ocz212. PMID: 31986197.
Principal Investigator:
A Feasibility Study of Cloud-Based Care Plans for Children with Medical Complexity
Description:
This research aims to determine the feasibility, acceptability, and outcomes associated with the use of Cloud Care, a cloud-based multidisciplinary care plan for children with medical complexity.
Principal Investigator:
Project Dates:
May 1, 2020 to April 30, 2022
Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.
Citation:
Liu L, Ni Y, Zhang N, Nick Pratap J. Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. Int J Med Inform. 2019 Sep;129:234-241. doi:
10.1016/j.ijmedinf.2019.06.007. Epub 2019 Jun 8. PMID: 31445261.
Principal Investigator:
Project Name:
Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report
Citation:
Pratap J. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report. (Prepared by Cincinnati Children's Hospital Medical Center under Grant No. R21 HS024983). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
Project Name:
PRISM: Personalized Reminders for Immunizations using Short Messaging Systems - Final Report
Citation:
Stockwell M. PRISM: Personalized Reminders for Immunizations using Short Messaging Systems - Final Report. (Prepared by Columbia University under Grant No. R01 HS022677). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
Physician perceptions of the electronic problem list in pediatric trauma care.
Citation:
Hose BZ, Hoonakker PLT, Wooldridge AR, Brazelton Iii TB, Dean SM, Eithun B, Fackler JC, Gurses AP, Kelly MM, Kohler JE, McGeorge NM, Ross JC, Rusy DA, Carayon P. Physician perceptions of the electronic problem list in pediatric trauma care. Appl Clin Inform. 2019 Jan;10(1):113-122. doi: 10.1055/s-0039-1677737. Epub 2019 Feb 13. PMID: 30759492.
Principal Investigator:
Project Name:
Informatics opportunities to involve patients in hospital safety: a conceptual model.
Citation:
Haldar S, Mishra SR, Pollack AH, Pratt W. Informatics opportunities to involve patients in hospital safety: a conceptual model. J Am Med Inform Assoc. 2019 Oct 3. pii: ocz167. doi: 10.1093/jamia/ocz167. [Epub ahead of print]. PMID: 31578546.
Principal Investigator:
