Data-Driven Decision-Making for Medications Management Modalities
|Abstract||One of the critical issues in the U.S. healthcare sector is attributed to medications management. Mismanagement of medications can not only bring more unfavorable medical outcomes for patients, but also imposes avoidable medical expenditures, which can be partially accounted for the enormous $750 billion that the American healthcare system wastes annually. The lack of efficiency in medical outcomes can be due to several reasons. One of them is the problem of drug intensification: a problem associated with more aggressive management of medications and its negative consequences for patients.
To address this and many other challenges in regard to medications mismanagement, I take advantage of data-driven methodologies where a decision-making ... (more)
|Contributor||Boloori, Alireza (Author) / Saghafian, Soroush (Advisor) / Fowler, John (Advisor) / Gel, Esma (Committee member) / Cook, Curtiss B (Committee member) / Montgomery, Douglas (Committee member) / Arizona State University (Publisher)|
|Subject||Health care management|
|Note||Doctoral Dissertation Industrial Engineering 2019|
|Collaborating Institutions||Graduate College / ASU Library|
|Additional Formats||MODS / OAI Dublin Core / RIS|