Matching Items (8)
Description
Healthcare is one of the most personal and complex services provided, and as such, designing healthcare environments is particularly challenging. In the last couple of decades, researchers have concentrated their efforts on exploring the elements of the hospital environment that affect patients' health and in finding ways to apply that knowledge in contemporary healthcare design. But despite the growing body of research, there is an element of utmost importance to healing environments that has not been studied very extensively: the patient experience. The interaction of patients with their environment shapes their personal experience, and inversely, focusing on designing experiences rather than services can inform the design of successful healing environments. This shift from designing services to designing experiences has deep implications in healthcare settings because of the stressful situations that patients have to go through; memorable experiences have a positive influence on a patient's emotional health because they help minimize stress and in healthcare environments this translates into improved outcomes. The concept of assembling experiences is not new, especially in the entertainment industry; it was, in fact, the underlying principle behind the creation of the first theme park more than fifty years ago: Disneyland. Today, Disney is an entertainment industry leader and their design concepts and practices have been perfected to achieve the Company's main purpose: to immerse Guests in a happy, unforgettable experience. This research study focuses on examining the principles used by Disney designers, or Imagineers, as they are called within the organization, to generate memorable experiences, and how those theories can be adopted and adapted by healthcare designers to create better healing environments. However, Disney's Imagineering is not the only approach considered in this research. A thorough analysis would not be complete without delving into the concept of experiential design as a design process and from an economical perspective, as well as without analyzing recent notions about the importance of authenticity in businesses and its implications on design. This study, therefore, suggests a new healing environment design model based on a comprehensive review of the literature related to three main design approaches: Disney Imagineering, experiential design and authenticity.
ContributorsDuenas Parra, Betsabe (Author) / Bernardi, Jose (Thesis advisor) / Stein, Morris (Committee member) / Shraiky, James (Committee member) / Arizona State University (Publisher)
Created2012
Description
Nurses are ideally positioned to lead the transformation of healthcare delivery in the United States, however they must be prepared to do so. The Institute of Medicine has called for nurses to become change agents and assume leadership positions across all levels in order to become full partners with physicians and other health care providers. While clinical leadership is a responsibility for all nurses, expectations for new nurse clinical leadership have not been well studied.
This study sought to determine the nursing leadership competencies clinical managers expect of new nurses in an acute care setting and to identify gaps between end-of-program nursing leadership competencies, as outlined in The Essentials of Baccalaureate Education for Professional Nursing Practice, with leadership competencies identified by clinical managers in an acute-care setting.
A single, bounded case study approach was used to collect data from nurse managers and assistant nurse managers at one acute care hospital. Data from intensive interviews, focus groups, and archival records were analyzed. Seven major themes related to clinical leadership emerged, including intentional learning, communication, professional practice, advocacy, teamwork, influencing practice, and systems thinking. Traits, mentoring, and generational differences emerged as secondary themes.
Data from this study revealed a developmental sequence for clinical leadership. Certain expectations identified as antecedent to clinical leadership emerged initially, whereas other aspects of clinical leadership, developed later in the career trajectory. It was clear that accomplishing nursing care tasks was a fundamental expectation for professional nursing practice. Communication, teamwork and advocacy are crucial leadership competencies which help the new nurse to effectively manage time and provide safe, high-quality nursing care. As the new nurse continues to develop, systems thinking and influencing nursing practice emerge as significant expectations. Nurse managers have clear expectations for how new nurses should be prepared for clinical leadership. The degree to which clinical practice partners employing new nurses and academic nursing programs educating future nurses collaborate to establish expected outcomes is variable; however, academic-practice collaborations are crucial in developing educational standards for entry to practice in complex healthcare delivery systems.
This study sought to determine the nursing leadership competencies clinical managers expect of new nurses in an acute care setting and to identify gaps between end-of-program nursing leadership competencies, as outlined in The Essentials of Baccalaureate Education for Professional Nursing Practice, with leadership competencies identified by clinical managers in an acute-care setting.
A single, bounded case study approach was used to collect data from nurse managers and assistant nurse managers at one acute care hospital. Data from intensive interviews, focus groups, and archival records were analyzed. Seven major themes related to clinical leadership emerged, including intentional learning, communication, professional practice, advocacy, teamwork, influencing practice, and systems thinking. Traits, mentoring, and generational differences emerged as secondary themes.
Data from this study revealed a developmental sequence for clinical leadership. Certain expectations identified as antecedent to clinical leadership emerged initially, whereas other aspects of clinical leadership, developed later in the career trajectory. It was clear that accomplishing nursing care tasks was a fundamental expectation for professional nursing practice. Communication, teamwork and advocacy are crucial leadership competencies which help the new nurse to effectively manage time and provide safe, high-quality nursing care. As the new nurse continues to develop, systems thinking and influencing nursing practice emerge as significant expectations. Nurse managers have clear expectations for how new nurses should be prepared for clinical leadership. The degree to which clinical practice partners employing new nurses and academic nursing programs educating future nurses collaborate to establish expected outcomes is variable; however, academic-practice collaborations are crucial in developing educational standards for entry to practice in complex healthcare delivery systems.
ContributorsMiehl, Nickolaus (Author) / Komnenich, Pauline (Thesis advisor) / Hagler, Debra (Thesis advisor) / Lamb, Gerri (Committee member) / Arizona State University (Publisher)
Created2018
Description
The analysis of clinical workflow offers many challenges to clinical stakeholders and researchers, especially in environments characterized by dynamic and concurrent processes. Workflow analysis in such environments is essential for monitoring performance and finding bottlenecks and sources of error. Clinical workflow analysis has been enhanced with the inclusion of modern technologies. One such intervention is automated location tracking which is a system that detects the movement of clinicians and equipment. Utilizing the data produced from automated location tracking technologies can lead to the development of novel workflow analytics that can be used to complement more traditional approaches such as ethnography and grounded-theory based qualitative methods. The goals of this research are to: (i) develop a series of analytic techniques to derive deeper workflow-related insight in an emergency department setting, (ii) overlay data from disparate sources (quantitative and qualitative) to develop strategies that facilitate workflow redesign, and (iii) incorporate visual analytics methods to improve the targeted visual feedback received by providers based on the findings. The overarching purpose is to create a framework to demonstrate the utility of automated location tracking data used in conjunction with clinical data like EHR logs and its vital role in the future of clinical workflow analysis/analytics. This document is categorized based on two primary aims of the research. The first aim deals with the use of automated location tracking data to develop a novel methodological/exploratory framework for clinical workflow. The second aim is to overlay the quantitative data generated from the previous aim on data from qualitative observation and shadowing studies (mixed methods) to develop a deeper view of clinical workflow that can be used to facilitate workflow redesign. The final sections of the document speculate on the direction of this work where the potential of this research in the creation of fully integrated clinical environments i.e. environments with state-of-the-art location tracking and other data collection mechanisms, is discussed. The main purpose of this research is to demonstrate ways by which clinical processes can be continuously monitored allowing for proactive adaptations in the face of technological and process changes to minimize any negative impact on the quality of patient care and provider satisfaction.
ContributorsVankipuram, Akshay (Author) / Patel, Vimla L. (Thesis advisor) / Wang, Dongwen (Thesis advisor) / Shortliffe, Edward H (Committee member) / Kaufman, David R. (Committee member) / Traub, Stephen J (Committee member) / Arizona State University (Publisher)
Created2018
Description
Despite significant growth in research about supply chain integration, many questions remain unanswered regarding the path to integration and the benefits that can be accrued. This dissertation examines three aspects of supply chain integration in the health sector, leveraging the healthcare context to extend the theoretical boundaries, as well as applying supply chain knowledge to an industry known to be immature in terms of its supply chain practices.
In the first chapter, a supply chain operating model that breaks away from the traditional healthcare supply chain structures is examined. Consolidated Service Centers (CSCs) embody a shared services strategy, consolidating supply chain functions across multiple hospitals (i.e. horizontal integration) and disintermediating several key roles in healthcare supply chains such as the group purchasing organizations and national distributors. Through case studies, key characteristics of CSCs that enable them to reduce the level of supply chain complexity are examined.
The second chapter investigates buyer-supplier relationships in healthcare (i.e. supplier integration), where a high level of distrust exists between hospitals and their suppliers. This context is leveraged to study both enablers and barriers to buyer-supplier trust. The results suggest that contracting counteracts the negative effects of dependence on trust. Furthermore, the study reveals that hospital buyers may, in some situations, perceive dedicated resource investments made by suppliers as trust barriers, associating such investments with supplier upselling and entrenchment tactics. This runs contrary to how dedicated investments are perceived in most other industries.
In the third chapter, the triadic relationship between the hospital, supplier, and physician is taken into consideration. Given their professional autonomy and power, physicians commonly undermine hospital efforts in supply base rationalization and standardization. This study examines whether physician-hospital integration (i.e. customer integration) can drive physicians towards supply selection practices that align with the hospital’s sourcing strategies and ultimately result in better supply chain performance. This study utilizes theory on agency triads and professionalism and tests hypotheses through a random effects regression model applied to data about hospital financial performance and physician-hospital arrangements.
In the first chapter, a supply chain operating model that breaks away from the traditional healthcare supply chain structures is examined. Consolidated Service Centers (CSCs) embody a shared services strategy, consolidating supply chain functions across multiple hospitals (i.e. horizontal integration) and disintermediating several key roles in healthcare supply chains such as the group purchasing organizations and national distributors. Through case studies, key characteristics of CSCs that enable them to reduce the level of supply chain complexity are examined.
The second chapter investigates buyer-supplier relationships in healthcare (i.e. supplier integration), where a high level of distrust exists between hospitals and their suppliers. This context is leveraged to study both enablers and barriers to buyer-supplier trust. The results suggest that contracting counteracts the negative effects of dependence on trust. Furthermore, the study reveals that hospital buyers may, in some situations, perceive dedicated resource investments made by suppliers as trust barriers, associating such investments with supplier upselling and entrenchment tactics. This runs contrary to how dedicated investments are perceived in most other industries.
In the third chapter, the triadic relationship between the hospital, supplier, and physician is taken into consideration. Given their professional autonomy and power, physicians commonly undermine hospital efforts in supply base rationalization and standardization. This study examines whether physician-hospital integration (i.e. customer integration) can drive physicians towards supply selection practices that align with the hospital’s sourcing strategies and ultimately result in better supply chain performance. This study utilizes theory on agency triads and professionalism and tests hypotheses through a random effects regression model applied to data about hospital financial performance and physician-hospital arrangements.
ContributorsAbdulsalam, Yousef J (Author) / Schneller, Eugene S (Thesis advisor) / Gopalakrishnan, Mohan (Committee member) / Maltz, Arnold (Committee member) / Dooley, Kevin (Committee member) / Arizona State University (Publisher)
Created2016
Description
The objective of this research is to understand how a set of systems, as defined by the business process, creates value. The three studies contained in this work develop the model of process-based automation. The model states that complementarities among systems are specified by handoffs in the business process. The model also provides theory to explain why entry systems, boundary spanning systems, and back-end control systems provide different impacts on process quality and cost. The first study includes 135 U. S. acute care hospitals. The study finds that hospitals which followed an organizational pattern of process automation have better financial outcomes. The second study looks in more depth at where synergies might be found. It includes 341 California acute care hospitals over 11 years. It finds that increased costs and increase adverse drug events are associated with increased automation discontinuity. Further, the study shows that automation in the front end of the process has a more desirable outcome on cost than automation in the back end of the process. The third study examines the assumption that the systems are actually used. It is a cross-sectional analysis of over 2000 U. S. hospitals. This study finds that system usage is a critical factor in realizing benefits from automating the business process. The model of process-based automation has implications for information technology decision makers, long-term automation planning, and for information systems research. The analyses have additional implications for the healthcare industry.
ContributorsSpaulding, Trent Joseph (Author) / Santanam, Raghu T (Thesis advisor) / Vinze, Ajay (Committee member) / Furukawa, Michael F. (Committee member) / Arizona State University (Publisher)
Created2011
Description
As technology has advanced in recent years, tablet devices have started to make their way into all walks of life. Yet, many medical documentation processes still see the use of paper. Though the paper based documentation method has been shown to be effective for some purposes, the introduction of tablet devices has the potential to make the documentation processes a lot smoother. In this thesis, tablet based documentation systems are reviewed, and based on this, a new custom application is developed that medical staff can use with ease. This new application, developed for an iPad is one where users can fully customize their own forms for different uses in the intensive care unit for resuscitation scenarios. The thesis discusses the architecture behind this application along with designing different elements of the system. Through this thesis project, the application was evaluated to see if such a complex documentation process can be easily used and created on a tablet device. The medical staff surveyed, responded positively to the use of the application and agreed that the electronic documentation usage and creation is a powerful tool that could help improve resuscitation practice by making it more efficient.
ContributorsDamania, Harsh (Author) / Patel, Vimla (Thesis advisor) / Nelson, Brian C (Thesis advisor) / Balasooriya, Janaka (Committee member) / Sen, Ayan (Committee member) / Arizona State University (Publisher)
Created2016
Description
This dissertation addresses access management problems that occur in both emergency and outpatient clinics with the objective of allocating the available resources to improve performance measures by considering the trade-offs. Two main settings are considered for estimating patient willingness-to-wait (WtW) behavior for outpatient appointments with statistical analyses of data: allocation of the limited booking horizon to patients of different priorities by using time windows in an outpatient setting considering patient behavior, and allocation of hospital beds to admitted Emergency Department (ED) patients. For each chapter, a different approach based on the problem context is developed and the performance is analyzed by implementing analytical and simulation models. Real hospital data is used in the analyses to provide evidence that the methodologies introduced are beneficial in addressing real life problems, and real improvements can be achievable by using the policies that are suggested.
This dissertation starts with studying an outpatient clinic context to develop an effective resource allocation mechanism that can improve patient access to clinic appointments. I first start with identifying patient behavior in terms of willingness-to-wait to an outpatient appointment. Two statistical models are developed to estimate patient WtW distribution by using data on booked appointments and appointment requests. Several analyses are conducted on simulated data to observe effectiveness and accuracy of the estimations.
Then, this dissertation introduces a time windows based policy that utilizes patient behavior to improve access by using appointment delay as a lever. The policy improves patient access by allocating the available capacity to the patients from different priorities by dividing the booking horizon into time intervals that can be used by each priority group which strategically delay lower priority patients.
Finally, the patient routing between ED and inpatient units to improve the patient access to hospital beds is studied. The strategy that captures the trade-off between patient safety and quality of care is characterized as a threshold type. Through the simulation experiments developed by real data collected from a hospital, the achievable improvement of implementing such a strategy that considers the safety-quality of care trade-off is illustrated.
This dissertation starts with studying an outpatient clinic context to develop an effective resource allocation mechanism that can improve patient access to clinic appointments. I first start with identifying patient behavior in terms of willingness-to-wait to an outpatient appointment. Two statistical models are developed to estimate patient WtW distribution by using data on booked appointments and appointment requests. Several analyses are conducted on simulated data to observe effectiveness and accuracy of the estimations.
Then, this dissertation introduces a time windows based policy that utilizes patient behavior to improve access by using appointment delay as a lever. The policy improves patient access by allocating the available capacity to the patients from different priorities by dividing the booking horizon into time intervals that can be used by each priority group which strategically delay lower priority patients.
Finally, the patient routing between ED and inpatient units to improve the patient access to hospital beds is studied. The strategy that captures the trade-off between patient safety and quality of care is characterized as a threshold type. Through the simulation experiments developed by real data collected from a hospital, the achievable improvement of implementing such a strategy that considers the safety-quality of care trade-off is illustrated.
ContributorsKilinc, Derya (Author) / Gel, Esma (Thesis advisor) / Pasupathy, Kalyan (Committee member) / Sefair, Jorge (Committee member) / Sir, Mustafa (Committee member) / Yan, Hao (Committee member) / Arizona State University (Publisher)
Created2019
Description
Critical infrastructures in healthcare, power systems, and web services, incorporate cyber-physical systems (CPSes), where the software controlled computing systems interact with the physical environment through actuation and monitoring. Ensuring software safety in CPSes, to avoid hazards to property and human life as a result of un-controlled interactions, is essential and challenging. The principal hurdle in this regard is the characterization of the context driven interactions between software and the physical environment (cyber-physical interactions), which introduce multi-dimensional dynamics in space and time, complex non-linearities, and non-trivial aggregation of interaction in case of networked operations. Traditionally, CPS software is tested for safety either through experimental trials, which can be expensive, incomprehensive, and hazardous, or through static analysis of code, which ignore the cyber-physical interactions. This thesis considers model based engineering, a paradigm widely used in different disciplines of engineering, for safety verification of CPS software and contributes to three fundamental phases: a) modeling, building abstractions or models that characterize cyberphysical interactions in a mathematical framework, b) analysis, reasoning about safety based on properties of the model, and c) synthesis, implementing models on standard testbeds for performing preliminary experimental trials. In this regard, CPS modeling techniques are proposed that can accurately capture the context driven spatio-temporal aggregate cyber-physical interactions. Different levels of abstractions are considered, which result in high level architectural models, or more detailed formal behavioral models of CPSes. The outcomes include, a well defined architectural specification framework called CPS-DAS and a novel spatio-temporal formal model called Spatio-Temporal Hybrid Automata (STHA) for CPSes. Model analysis techniques are proposed for the CPS models, which can simulate the effects of dynamic context changes on non-linear spatio-temporal cyberphysical interactions, and characterize aggregate effects. The outcomes include tractable algorithms for simulation analysis and for theoretically proving safety properties of CPS software. Lastly a software synthesis technique is proposed that can automatically convert high level architectural models of CPSes in the healthcare domain into implementations in high level programming languages. The outcome is a tool called Health-Dev that can synthesize software implementations of CPS models in healthcare for experimental verification of safety properties.
ContributorsBanerjee, Ayan (Author) / Gupta, Sandeep K.S. (Thesis advisor) / Poovendran, Radha (Committee member) / Fainekos, Georgios (Committee member) / Maciejewski, Ross (Committee member) / Arizona State University (Publisher)
Created2012