Journal Publication

Electronic health record adoption and nurse reports of usability and quality of care: the role of work environment.

Citation: 
Kutney-Lee A, Sloane DM, Bowles KH, Burns LR, Aiken LH. Electronic health record adoption and nurse reports of usability and quality of care: the role of work environment. Appl Clin Inform. 2019 Jan;10(1):129-139. doi: 10.1055/s-0039-1678551. Epub 2019 Feb 20. PMID: 30786302.
Principal Investigator: 
Kutney-Lee, Ann
Project Name: 
Electronic Health Record Use, Work Environments, and Patient Outcomes

Health information technologies in the support systems of pregnant women and their caregivers: mixed-methods study.

Citation: 
Dorst MT, Anders SH, Chennupati S, Chen Q, Purcell Jackson G. Health information technologies in the support systems of pregnant women and their caregivers: mixed-methods study. J Med Internet Res. 2019 May 9;21(5):e10865. doi: 10.2196/10865. PMID: 31094327.
Principal Investigator: 
Jackson, Gretchen P.
Project Name: 
Personal Health Information Needs and Practices for Maternal Fetal Care

Supporting caregivers in pregnancy: a qualitative study of their activities and roles.

Citation: 
Anders S, Aaron H, Jackson GP, Novak LL. Supporting caregivers in pregnancy: a qualitative study of their activities and roles. J Patient Exp. 2019 Jun;6(2):126-132. doi: 10.1177/2374373518785570. Epub 2018 Jul 16. PMID: 31218258.
Principal Investigator: 
Jackson, Gretchen P.
Project Name: 
Personal Health Information Needs and Practices for Maternal Fetal Care

Consumer health-related needs of pregnant women and their caregivers.

Citation: 
Robinson JR, Anders SH, Novak LL, Simpson CL, Holroyd LE, Bennett KA, Jackson GP. Consumer health-related needs of pregnant women and their caregivers. JAMIA Open. 2018 Jul;1(1):57-66. doi: 10.1093/jamiaopen/ooy018. Epub 2018 Jun 18. PMID: 30474071.
Principal Investigator: 
Jackson, Gretchen P.
Project Name: 
Personal Health Information Needs and Practices for Maternal Fetal Care

Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.

Citation: 
Wissel BD, Greiner HM, Glauser TA, Holland-Bouley KD, Mangano FT, Santel D, Faist R, Zhang N, Pestian JP, Szczesniak RD, Dexheimer JW. Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery. Epilepsia. 2019 Nov 29. doi: 10.1111/epi.16398. [Epub ahead of print]. PMID: 31784992.
Principal Investigator: 
Dexheimer, Judith W.
Project Name: 
Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

Citation: 
Wissel BD, Greiner HM, Glauser TA, Mangano FT, Santel D, Pestian JP, Szczesniak RD, Dexheimer JW. Investigation of bias in an epilepsy machine learning algorithm trained on physician notes. Epilepsia. 2019 Sep;60(9):e93-e98. doi: 10.1111/epi.16320. Epub 2019 Aug 23. PMID: 31441044.
Principal Investigator: 
Dexheimer, Judith W.
Project Name: 
Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

Scope and influence of electronic health record-integrated clinical decision support in the emergency department: a systematic review.

Citation: 
Patterson BW, Pulia MS, Ravi S, Hoonakker PLT, Schoofs Hundt A, Wiegmann D, Wirkus EJ, Johnson S, Carayon P. Scope and influence of electronic health record-integrated clinical decision support in the emergency department: a systematic review. Ann Emerg Med. 2019 Aug;74(2):285-296. doi: 10.1016/j.annemergmed.2018.10.034. Epub 2019 Jan 3. PMID: 30611639.
Principal Investigator: 
Carayon, Pascale
Project Name: 
Health Information Technology-Supported Process for Preventing and Managing Venous Thromboembolism

Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study.

Citation: 
Carayon P, Hoonakker P, Hundt AS, Salwei M, Wiegmann D, Brown RL, Kleinschmidt P, Novak C, Pulia M, Wang Y, Wirkus E, Patterson B. Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study. BMJ Qual Saf. 2019 Nov 27. pii:bmjqs-2019-009857. doi: 10.1136/bmjqs-2019-009857. [Epub ahead of print]. PMID: 31776197.
Principal Investigator: 
Carayon, Pascale
Project Name: 
Health Information Technology-Supported Process for Preventing and Managing Venous Thromboembolism

The design of PE Dx, a CDS to support pulmonary embolism diagnosis in the ED.

Citation: 
Hoonakker PLT, Carayon P, Salwei ME, Hundt AS, Wiegmann D, Kleinschmidt P, Pulia MS, Wang Y, Novak C, Patterson BW. The design of PE Dx, a CDS to support pulmonary embolism diagnosis in the ED. Stud Health Technol Inform. 2019 Aug 9;265:134-140. doi: 10.3233/SHTI190152. PMID: 31431589.
Principal Investigator: 
Carayon, Pascale
Project Name: 
Health Information Technology-Supported Process for Preventing and Managing Venous Thromboembolism

Older adult internet use and eHealth literacy.

Citation: 
Arcury TA, Sandberg JC, Melius KP, Quandt SA, Leng X, Latulipe C, Miller DP Jr, Smith DA, Bertoni AG. Older adult internet use and eHealth literacy. J Appl Gerontol. 2020 Feb;39(2):141-150. doi: 10.1177/0733464818807468. Epub 2018 Oct 24. PMID: 30353776.
Principal Investigator: 
Bertoni, Alain
Project Name: 
Maximizing the Impact of ePHIM in Low-Income, Multiethnic Populations