Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

A Data-driven Approach to Identify Opportunities to Reduce Missing Doses

Lydick, Jaide E.
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1462526440

Abstract Details

2016, Master of Science (MS), Ohio University, Industrial and Systems Engineering (Engineering and Technology).
A significant issue within hospitals is the occurrence and frequency of missing doses. A missing dose is when a medication is not available to be administered to the patient at the required time. Decreasing missing doses can improve the patient's quality of care and decrease cost of care, labor costs, and medication expenses. The objective of this research was to identify the cause(s) of missing doses and provide recommendations on how to reduce the frequency of missing doses. This project analyzed a year of quantitative data to identify conditions that are correlated with missing doses. These conditions were identified so that recommendations could be provided to reduce re-dispenses and interruptions within the medication distribution process. The analysis examined re-dispenses in terms of five different characteristics: time, nursing unit, medication, medication form, and the dispensing pharmacy.
Dale Masel (Committee Chair)
Diana Schwerha (Committee Member)
Tao Yuan (Committee Member)
Douglas Bolon (Committee Member)
103 p.
Engineering; Health Care; Industrial Engineering
missing doses; healthcare; data analysis; lean manufacturing; One-way ANOVA; Hospital; robot picker; cart-fill; pneumatic tubing system; engineering; bar code; automatic dispensing cabinet; automated guided vehicle; re-dispenses; administrations

Recommended Citations

Citations

  • Lydick, J. E. (2016). A Data-driven Approach to Identify Opportunities to Reduce Missing Doses [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1462526440

    APA Style (7th edition)

  • Lydick, Jaide. A Data-driven Approach to Identify Opportunities to Reduce Missing Doses. 2016. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1462526440.

    MLA Style (8th edition)

  • Lydick, Jaide. "A Data-driven Approach to Identify Opportunities to Reduce Missing Doses." Master's thesis, Ohio University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1462526440

    Chicago Manual of Style (17th edition)

ohiou1462526440
671
© 2016, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.