College of Business
Florida International University
Modesto A. Maidique Campus
11200 S.W. 8th St, RB 203B
Miami, FL 33199
Phone: (305) 348-5437
Email: lbouayad@fiu.edu
Lina Bouayad
Associate Professor, Department of Information Systems and Business Analytics
College of Business
Florida International University
Modesto A. Maidique Campus
11200 S.W. 8th St, RB 203B
Miami, FL 33199
Phone: (305) 348-5437
Email: lbouayad@fiu.edu
Education
Ph.D. in Business Administration
College of Business, University of South Florida, Tampa, Florida
Professional Activities
As a faculty member at FIU’s Department of Information Systems and Business Analytics, and a Research Associate at the VA HSR&D/RR&D Center of Innovation on Disability and Rehabilitation Research, my research involves the use of innovative analytics methods to improve patient experience, increase provider productivity and reduce overall healthcare costs. These include the the design of a blockchain-based solution that would enable patients to share their validated comprehensive treatment records with peers, a real-time clinical recommender system that provides recommendations for medications along with associated cost information, a solution to automate provider documentation, and an auditing algorithm to maximize deterrence from fraud, waste, and abuse.
Courses Taught
- Artificial Intelligence for Business
- Business Analytics Applications
- Business Analytics Capstone
- Electronic Commerce and Internet Business Applicat
- Management of the Information Systems Function
- Managing Distributed Architectures
- Quality and Outcomes Analytics
Publications
Dobscha, S. K., Luther, S. L., Kerns, R. D., Finch, D. K., Goulet, J. L., Brandt, C. A., Skanderson, M., Bathulapalli, H., Fodeh, S. J., Hahm, B., Bouayad, L., Lee, A., & Han, L.
(2022).
Mental health diagnoses are not associated with indicators of lower quality pain care in electronic health records of a national sample of Veterans treated in Veterans Health Administration primary care settings.
The journal of pain
.
Panaite, V., Devendorf, A. R., Finch, D., Bouayad, L., Luther, S. L., & Schultz, S. K.
(2022).
The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-Concept Study Applying Natural Language Processing to Electronic Health Records.
JMIR formative research
, 6(null)
.
Luther, S. L., Finch, D. K., Bouayad, L. ., McCart, J. ., Han, L. ., Dobscha, S. K., Skanderson, M. ., Fodeh, S. J., Hahm, B. ., Lee, A. ., Goulet, J. L., Brandt, C. A., & Kerns, R. D.
(2022).
Measuring pain care quality in the Veterans Health Administration primary care setting.
PAIN
, 163(null)
.
Bouayad, L. ., Padmanabhan, B. ., & Chari, K. .
(2020).
CAN RECOMMENDER SYSTEMS REDUCE HEALTHCARE COSTS? THE ROLE OF TIME PRESSURE AND COST TRANSPARENCY IN PRESCRIPTION CHOICE.
MIS QUARTERLY
, 44(null)
.
- Subramanian, H., Cousins, K., Bouayad, L., Alpen, S., & Conway, D. (2020). Blockchain Regulations and Decentralized Applications. Communications of the Association for Information Systems.
Bouayad, L. ., Ialynytchev, A. ., & Padmanabhan, B. .
(2019).
Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions (vol 19, e388, 2017).
JOURNAL OF MEDICAL INTERNET RESEARCH
, 21(null)
.
Bouayad, L. ., Padmanabhan, B. ., & Chari, K. .
(2019).
Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms.
INFORMATION SYSTEMS RESEARCH
, 30(null)
.
Singh, V. K., Shrivastava, U. ., Bouayad, L. ., Padmanabhan, B. ., Ialynytchev, A. ., & Schultz, S. K.
(2018).
Machine learning for psychiatric patient triaging: an investigation of cascading classifiers.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
, 25(null)
.
Fodeh, S. J., Finch, D. ., Bouayad, L. ., Luther, S. L., Ling, H. ., Kerns, R. D., & Brandt, C. .
(2018).
Classifying clinical notes with pain assessment using machine learning.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
, 56(null)
.
Bouayad, L. ., Ialynytchev, A. ., & Padmanabhan, B. .
(2017).
Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions.
JOURNAL OF MEDICAL INTERNET RESEARCH
, 19(null)
.
- Luther, S. L., Thomason, S. S., Sabharwal, S., Finch, D. K., McCart, J., Toyinbo, P., . . . Powell-Cope, G. (2017). Leveraging Electronic Health Care Record Information to Measure Pressure Ulcer Risk in Veterans With Spinal Cord Injury: A Longitudinal Study Protocol. JMIR Research Protocols, 6.
- Bouayad, L., Ialynytchev, A., & Padmanabhan, B. (2017). Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions. Journal of Medical Internet Research, 19.
Fodeh, S. J., Finch, D. ., Bouayad, L. ., Luther, S. ., Kerns, R. D., & Brandt, C. .
(2017).
Classifying Clinical Notes with Pain Assessment.
MEDINFO 2017: PRECISION HEALTHCARE THROUGH INFORMATICS
, 245(null)
.
Bouayad, L.
(n.d).
Deterrence-Driven Algorithms for Audit Under the Sentinel Effect.
SSRN Electronic Journal
, null(null)
.
Luther, S., Thomason, S., Sabharwal, S., Finch, D., McCart, J., Toyinbo, P., Bouayad, L., Lapcevic, W., Hahm, B., Hauser, R., Matheny, M., & Powell-Cope, G.
(n.d).
Machine learning to Develop a Predictive Model of Pressure Ulcer in Persons with Spinal Cord Injury.
.