Date of Graduation

12-2017

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Business Administration (PhD)

Degree Level

Graduate

Department

Information Systems

Advisor

Viswanath Venkatesh

Committee Member

Arun Rai

Second Committee Member

Indranil Bardhan

Third Committee Member

Tracy Sykes

Fourth Committee Member

Hartmut Hoehle

Keywords

analytics, feature use, health behavior, health beliefs, mHealth, technology beliefs

Abstract

Incidents that jeopardize patient safety and costs that are associated with managing non-communicable diseases (NCDs) continue to drain resources in the healthcare industry. Although recent initiatives emerged to make patients as partners in healthcare through technology and ultimately control many sources of costs, healthcare providers are still struggling with developing and deploying interventions for engaging patients. Relevant research leaves a lot to be explored from the patient perspective, which is understandable given the nascency of the patient role as an active participant rather than passive recipient of healthcare services relative to other stakeholders, such as healthcare providers and insurance companies. This dissertation focuses on understanding the role of patients in the healthcare industry through two main technology-enabled approaches: information sharing at the hospital level and active management of health conditions through mHealth at the patient level. The dissertation makes important contributions to research on (a) healthcare IT payoff by identifying important healthcare complementarities that involve existing evidence-based medical practices and the patient as a provider and recipient of health information and (b) mHealth by providing a fine-grained view of feature use and beliefs about health and technology. The dissertation also offers guidance to hospitals and healthcare providers who currently invest or intend to invest in technology-enabled interventions by (a) identifying sources of value in technology investments from the patient perspective at the hospital level and (b) identifying profiles for patients who are likely to advance in their health management based on a combination of beliefs about health and technology and use of mHealth features.

Available for download on Thursday, December 20, 2018

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