Medicine and Health Sciences Commons^™

Social Worker’S Acceptance Of Telehealth In Rhode Island And Massachusetts: Is It Transformative?, Sinead Martin

Social Work Student Scholarship

Sinead Martin ’23
Major: Social Work>Faculty Mentor: Dr. Katherine Kranz, Social Work

Architectural Design Of A Blockchain-Enabled, Federated Learning Platform For Algorithmic Fairness In Predictive Health Care: Design Science Study, Xueping Liang, Juan Zhao, Yan Chen, Eranga Bandara, Sachin Shetty

VMASC Publications

Background: Developing effective and generalizable predictive models is critical for disease prediction and clinical decision-making, often requiring diverse samples to mitigate population bias and address algorithmic fairness. However, a major challenge is to retrieve learning models across multiple institutions without bringing in local biases and inequity, while preserving individual patients' privacy at each site.

Objective: This study aims to understand the issues of bias and fairness in the machine learning process used in the predictive health care domain. We proposed a software architecture that integrates federated learning and blockchain to improve fairness, while maintaining acceptable prediction accuracy and minimizing overhead …

Design Of Robust Blockchain-Envisioned Authenticated Key Management Mechanism For Smart Healthcare Applications, Siddhant Thapiyal, Mohammad Wazid, Devesh Pratap Singh, Ashok Kumar Das, Sachin Shetty

VMASC Publications

The healthcare sector is a very crucial and important sector of any society, and with the evolution of the various deployed technologies, like the Internet of Things (IoT), machine learning and blockchain it has numerous advantages. However, in this section, the data is much more vulnerable than others, because the data is strictly private and confidential, and it requires a highly secured framework for the transmission of data between entities. In this article, we aim to design a blockchain-envisioned authentication and key management mechanism for the IoMT-based smart healthcare applications (in short, we call it SBAKM-HS). We compare the various …

Ascp-Iomt: Ai-Enabled Lightweight Secure Communication Protocol For Internet Of Medical Things, Mohammad Wazid, Jaskaran Singh, Ashok Kumar Das, Sachin Shetty, Muhammad Khurram Khan, Joel J.P.C. Rodrigues

VMASC Publications

The Internet of Medical Things (IoMT) is a unification of smart healthcare devices, tools, and software, which connect various patients and other users to the healthcare information system through the networking technology. It further reduces unnecessary hospital visits and the burden on healthcare systems by connecting the patients to their healthcare experts (i.e., doctors) and allows secure transmission of healthcare data over an insecure channel (e.g., the Internet). Since Artificial Intelligence (AI) has a great impact on the performance and usability of an information system, it is important to include its modules in a healthcare information system, which will be …

A Unified Health Information System Framework For Connecting Data, People, Devices, And Systems, Wu He, Justin Zuopeng Zhang, Huanmei Wu, Wenzhuo Li, Sachin Shetty

Information Technology & Decision Sciences Faculty Publications

The COVID-19 pandemic has heightened the necessity for pervasive data and system interoperability to manage healthcare information and knowledge. There is an urgent need to better understand the role of interoperability in improving the societal responses to the pandemic. This paper explores data and system interoperability, a very specific area that could contribute to fighting COVID-19. Specifically, the authors propose a unified health information system framework to connect data, systems, and devices to increase interoperability and manage healthcare information and knowledge. A blockchain-based solution is also provided as a recommendation for improving the data and system interoperability in healthcare.

Perceptions And Needs Of Artificial Intelligence In Health Care To Increase Adoption: Scoping Review, Han Shi Jocelyn Chew, Palakorn Achananuparp

Research Collection School Of Computing and Information Systems

Background: Artificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care. Objective: This study aims to provide an overview of the perceptions and needs of AI to increase its adoption in health care. Methods: A systematic scoping review was conducted according to the 5-stage framework by Arksey and O’Malley. Articles that described the perceptions and needs of AI in health care were searched across nine databases: ACM Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, …

Supporting Patient-Clinician Interaction In Chronic Hiv Care: Design And Development Of A Patient-Reported Outcomes Software Application, Susan Herrmann, Brad Power, Amineh Rashidi, Mark Cypher, Frank Mastaglia, Amy Grace, Elizabeth Mckinnon, Pierre Sarrot, Christophe Michau, Matthew Skinner, Renae Desai, Martin Duracinsky

Research outputs 2014 to 2021

Background: The consideration of health-related quality of life (HRQL) is a hallmark of best practice in HIV care. Information technology offers an opportunity to more closely engage patients with chronic HIV infection in their long-term management and support a focus on HRQL. However, the implementation of patient-reported outcome (PRO) measures, such as HRQL in routine care, is challenged by the need to synthesize data generated by questionnaires, the complexity of collecting data between patient visits, and the integration of results into clinical decision-making processes. Objective: Our aim is to design and pilot-test a multimedia software platform to overcome these challenges …

Audience Response Systems And Missingness Trends: Using Interactive Polling Systems To Gather Sensitive Health Information From Youth., Tammy Toscos, Michelle Drouin, Mindy Flanagan, Maria D. Carpenter, Connie Kerrigan, Colleen Carpenter, Cameron Mere Mba, Marcia Haaff

Health Services and Informatics Research

BACKGROUND: The widespread availability and cost-effectiveness of new-wave software-based audience response systems (ARSs) have expanded the possibilities of collecting health data from hard-to-reach populations, including youth. However, with all survey methods, biases in the data may exist because of participant nonresponse.

OBJECTIVE: The aims of this study were to (1) examine the extent to which an ARS could be used to gather health information from youths within a large-group school setting and (2) examine individual- and survey-level response biases stemming from this Web-based data collection method.

METHODS: We used an ARS to deliver a mental health survey to 3418 youths …

Social Marketing For Health Promotion Hlt 410, Joanna Burkhardt

Library Impact Statements

No abstract provided.

Telehealth And Ehealth In Nurse Practitioner Training: Current Perspectives, Carolyn M. Rutledge, Karen Kott, Rebecca Poston, Christianne Fowler, Tina S. Haney

Nursing Faculty Publications

Telehealth is becoming a vital process for providing access to cost-effective quality care to patients at a distance. As such, it is important for nurse practitioners, often the primary providers for rural and disadvantaged populations, to develop the knowledge, skills, and attitudes needed to utilize telehealth technologies in practice. In reviewing the literature, very little information was found on programs that addressed nurse practitioner training in telehealth. This article provides an overview of both the topics and the techniques that have been utilized for training nurse practitioners and nurse practitioner students in the delivery of care utilizing telehealth. Specifically, this …

Recognizing Patient Safety Importance Through Instrument Validation On Physicians' Assessment Of An Ehr, Cherie Notebloom, Kathryn Dempsey Cooper

Interdisciplinary Informatics Faculty Proceedings & Presentations

Patient safety and high quality patient care are critical concerns for healthcare providers. The Institute of Medicine report suggests medical errors account for up to 98,000 patient deaths each year. Therefore, the US healthcare system is looking to information technology applications as one means of making patient care safer. This paper compares the psychometric properties of the Electronic Health Record Nurse Satisfaction instrument (based on the Health Information Technology Research-based Evaluation Framework) to our study that employed the same instrument but measured clinical physicians' opinions of an EHR to determine if the instrument could be used across domains of users. …

The Principles Of Good Health Care In The U.S. In The 2010s, Andrew S. Targowski

Transactions of the International Conference on Health Information Technology Advancement

The purpose of this investigation is to define the principles of good health in the U.S. in the 21st century. The interdisciplinary, civilizational methodology is applied to establish roots of this health care at the national level. Among findings are; well-being of Americans” is the constitutional opportunity of an American, good health of Americans is a constituent of their well-being, basic health care should be perceived as the controlled right of a citizen. Human and societal wisdom requires mentally healthy people. Human and societal wisdom requires well educated citizens. The state of health care of the Americans is in a …