scholarly journals Assessing Patient Engagement in Health Care: Proposal for a Modeling and Simulation Framework for Behavioral Analysis

10.2196/30092 ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. e30092
Author(s):  
Athary Alwasel ◽  
Lampros Stergioulas ◽  
Masoud Fakhimi ◽  
Wolfgang Garn
Keyword(s):  
Health Care ◽  
Modeling And Simulation ◽  
Patient Engagement ◽  
Behavioral Analysis ◽  
Simulation Framework

International Registered Report Identifier (IRRID) PRR1-10.2196/30092

scholarly journals Assessing Patient Engagement in Health Care: Proposal for a Modeling and Simulation Framework for Behavioral Analysis (Preprint)

2021 ◽  
Author(s):  
Athary Alwasel ◽  
Lampros Stergioulas ◽  
Masoud Fakhimi ◽  
Wolfgang Garn
Keyword(s):  
Health Care ◽  
Modeling And Simulation ◽  
Human Behavior ◽  
Patient Engagement ◽  
Patient Management ◽  
Therapeutic Interventions ◽  
Study Patient ◽  
Health Improvement ◽  
Patient Behavior ◽  
Simulation Techniques

UNSTRUCTURED Human behavior plays a vital role in health care effectiveness and system performance. Therefore, it is necessary to look carefully at the interactions within a system and how a system is affected by the behavioral responses and activities of its various components, particularly human components and actions. Modeling patients’ engagement behaviors can be valuable in many ways; for example, models can evaluate the effects of therapeutic interventions on health improvement, health care effectiveness, and desired outcomes of changing health lifestyles. Modeling and simulation (M&S) help us to understand the interactions within a whole system under defined conditions. M&S in patient behavior analysis involve models that attempt to identify certain human behaviors that most likely have an impact on health care operations and services. Our study’s overall aims are (1) to investigate the impacts of patients’ engagement and various human behavior patterns on health care effectiveness and the achievement of desired outcomes and (2) to construct and validate a framework for modeling patient engagement and implementing and supporting patient management best practices, health policy-making processes, and innovative interventions in health care. We intend to extract routinely collected data of different parameters from general patients diagnosed with chronic diseases, such as diabetes. Our plan is to design data sets and extract health data from a pool of >4 million patient records from different general practices in England. We will focus on the primary electronic medical records of patients with at least 1 chronic disease (>200,000 records). Simulation techniques will be used to study patient engagement and its impact on health care effectiveness and outcome measures. The study will integrate available approaches to develop a framework for modeling how patients’ behaviors affect health care activities and outcomes and to underline the characteristics and salient factors that operational management needs to be aware of when developing a behavioral model for assessing patient engagement. The M&S framework, which is under development, will consider patient behavior in context and the underlying factors of human behavior with the help of simulation techniques. The proposed framework will be validated and evaluated through a health care case study. We expect to identify leading factors that influence and affect patient engagement and associated behavioral activities and to illustrate the challenges and complexities of developing simulation models for conducting behavioral analyses within health care settings. Additionally, we will assess patients’ engagement behaviors in terms of achieving health care effectiveness and desired outcomes, and we will specifically evaluate the impacts of patient engagement activities on health care services, patient management styles, and the effectiveness of health interventions in terms of achieving the intended outcomes—improved health and patient satisfaction. INTERNATIONAL REGISTERED REPORT PRR1-10.2196/30092

Playback of 5G and Beyond Measured MIMO Channels by an ANN-Based Modeling and Simulation Framework

2020 ◽  
Vol 38 (9) ◽  
pp. 1945-1954 ◽  
Author(s):  
Xiongwen Zhao ◽  
Fei Du ◽  
Suiyan Geng ◽  
Zihao Fu ◽  
Zhongyu Wang ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Simulation Framework ◽  
Mimo Channels

scholarly journals Sharing Experiences and Expertise: The Health Care Systems Research Network Workshop on Patient Engagement in Research

2016 ◽  
Vol 3 (3) ◽  
pp. 159-166 ◽  
Author(s):  
Sarah Madrid ◽  
Leah Tuzzio ◽  
Cheryl D Stults ◽  
Leslie A Wright ◽  
Gina Napolitano ◽  
...  
Keyword(s):  
Health Care ◽  
Patient Engagement ◽  
Health Care Systems ◽  
Research Network ◽  
Systems Research ◽  
Care Systems ◽  
Patient Engagement In Research

Behavioral Health Patient Engagement in Video-based Visits through a Patient Portal at an Urban Safety-Net Hospital During COVID-19: Direct Patient Outreach and Case-Control Study (Preprint)

2021 ◽  
Author(s):  
Han Yue ◽  
Victoria Mail ◽  
Maura DiSalvo ◽  
Christina Borba ◽  
Joanna Piechniczek-Buczek ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Behavioral Health ◽  
Patient Engagement ◽  
Safety Net ◽  
Patient Portal ◽  
Patient Portals ◽  
Safety Net Hospital ◽  
Urban Safety

BACKGROUND Patient portals are a safe and secure way for patients to connect with providers for video-based telepsychiatry and help to overcome the financial and logistical barriers associated with face-to-face mental health care. Due to the coronavirus disease 2019 (COVID-19) pandemic, telepsychiatry has become increasingly important to obtaining mental health care. However, financial, and technological barriers, termed the “digital divide,” prevent some patients from accessing the technology needed to utilize telepsychiatry services. OBJECTIVE As part of an outreach project during COVID-19 to improve patient engagement with video-based visits through the hospital’s patient portal among adult behavioral health patients at an urban safety net hospital, we aimed to assess patient preference for patient portal-based video visits or telephone-only visits, and to identify the demographic variables associated with their preference. METHODS Patients in an outpatient psychiatry clinic were contacted by phone and preference for telepsychiatry by phone or video through a patient portal, as well as device preference for video-based visits, were documented. Patient demographic characteristics were collected from the electronic medical record. RESULTS One hundred and twenty-eight patients were reached by phone. Seventy-nine patients (61.7%) chose video-based visits and 69.6% of these patients preferred to access the patient portal through a smartphone. Older patients were significantly less likely to agree to video-based visits. CONCLUSIONS Among behavioral health patients at a safety-net hospital, there was a relatively low engagement with video-based visits through the hospital’s patient portal, particularly among older adults.

scholarly journals Modeling and simulation framework of aortic valve for hemodynamic evaluation of aortic root replacement surgery outcomes

2018 ◽  
Vol 51 (27) ◽  
pp. 258-263
Author(s):  
Tamás Umenhoffer ◽  
Márton Tóth ◽  
Ágota Kacsó ◽  
László Szécsi ◽  
Ákos Szlávecz ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Modeling And Simulation ◽  
Aortic Root ◽  
Aortic Root Replacement ◽  
Simulation Framework ◽  
Replacement Surgery ◽  
Hemodynamic Evaluation ◽  
Surgery Outcomes

Patient Engagement, Chronic Illness, and the Subject of Health Care Reform

2020 ◽  
pp. 1-14
Author(s):  
Mark D. Fleming ◽  
Janet K. Shim ◽  
Irene Yen ◽  
Ariana Thompson-Lastad ◽  
Nancy J. Burke
Keyword(s):  
Health Care ◽  
Chronic Illness ◽  
Health Care Reform ◽  
Patient Engagement ◽  
The Subject

scholarly journals Modeling and simulation framework for value-based healthcare systems

SIMULATION ◽  
2018 ◽  
Vol 95 (6) ◽  
pp. 481-497 ◽  
Author(s):  
Mamadou Kaba Traoré ◽  
Gregory Zacharewicz ◽  
Raphaël Duboz ◽  
Bernard Zeigler
Keyword(s):  
Modeling And Simulation ◽  
Healthcare System ◽  
Healthcare Systems ◽  
Simulation Framework ◽  
Multiple Perspectives ◽  
Levels Of Abstraction ◽  
Holistic View ◽  
Complex Processes ◽  
Distributed Components ◽  
Parameter Values

Regardless of the coordination of its activities, a healthcare system is composed of a large number of distributed components that are interrelated by complex processes. Understanding the behavior of the overall system is becoming a major concern among healthcare managers and decision-makers. This paper presents a modeling and simulation framework to support a holistic analysis of healthcare systems through a stratification of the levels of abstraction into multiple perspectives and their integration in a common simulation framework. In each of the perspectives, models of different components of a healthcare system can be developed and coupled together. Concerns from other perspectives are abstracted as parameters, that is, we reflect the parameter values of other perspectives through explicit assumptions and simplifications in such models. Consequently, the resulting top model within each perspective can be coupled with its experimental frame to run simulations and derive results. Components of the various perspectives are integrated to provide a holistic view of the healthcare problem and system under study. The resulting global model can be coupled with a holistic experimental frame to derive results that cannot be accurately addressed in any of the perspectives taken alone. Furthermore, as we endeavored to allow perspective-specific experts to contribute to the modeling process, we took benefit of results originating from research efforts that Norbert Giambiasi initiated in the 2000s, which his PhD students further developed with their own PhD students.

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