Date on Master's Thesis/Doctoral Dissertation


Document Type

Master's Thesis

Degree Name

M. Eng.



Degree Program

JB Speed School of Engineering

Committee Chair

Frieboes, Hermann Bueno

Committee Co-Chair (if applicable)

Bertocci, Gina E.

Committee Member

Soucy, Patricia S.

Committee Member

Quesada, Peter M.

Author's Keywords

Dementia; Software; Quality indicator


Information storage and retrieval systems--Medical care; Medical records--Data processing; Dementia--Patients--Care


Dementia care in the United States faces several challenges, many of them associated with managing the information that is associated with patients. Protected patient information about patients is often separated between many sources. For example, a new doctor may have information on patient medicines, but not the document associated with the caregiving goals of the patient and their family. Problems can develop if a patient is treated by a new caregiver, who may not know the patient’s treatment and behavior history. There is a strong desire for a system that can collect, organize, and analyze patient information in a user friendly manner. Through interaction with a clinical collaborator, a novel web application has been created that can help to maintain this patient information. This web application provides access to quality indicators which can be accessed via remote communication, summarized in reports, and evaluated in patient data analytics. The system is designed to run on multiple devices that a user would have access to, including a smartphone, tablet, and personal computer. Adoption of this application by clinicians and caregivers longer term could significantly enhance the quality of care for patients with dementia.