Health Information Technology Commons^™

2026 Cyber-Resilient Health Care Workshop Report, Malcolm Schongalla, Sergey Bratus

Computer Science Technical Reports

The ISTS and the Dartmouth College Cybersecurity Cluster hosted the successful, inaugural Cyber-Resilient Health Care (CRHC) Workshop, March 5th & 6th, 2026. The event theme was "Innovation and Implementation," in response to the need to shift from reactive to proactive resiliency measures in the healthcare sector. Approximately 30 experts in clinical health care, cybersecurity, medical technology, policy, and innovation met to discuss solution-focused innovations addressing hard, cyber-related problems in health care. The agenda featured keynotes, an expert panel, innovation pitches, small group discussions, and a tabletop infrastructure disaster exercise. Participants gained insights into the obstacles and solutions involved in supporting …

Healthcare Supply Chain Optimization Techniques: Case Studies Of Pittsburgh-Area Healthcare Centers, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Ai-Powered Reporting For Improved Hospital Efficiency, Joel C. Laskow, Chris Papesh, Srishti Awasthi, Jacquelyn Cheun

SMU Data Science Review

This study explores the feasibility of an AI-powered chatbot for HIPAA-aligned intake of emergency room patients seeking treatment for overdose and violence. The system utilizes AWS Amplify, an encrypted EC2 instance, and a secure S3 Bucket house on Amazon Web Services. Chat functionality is powered by a multi-agentic framework operating on Anthropic’s Claude Sonnet 4. Manual evaluation and exact match testing reveal the system reliably obtains and records relevant information during intake. Future work will focus on expanding accessibility by integrating voice functionality, obtaining HIPAA compliance certifications, and incorporating the chat system into existing healthcare networks.

Bias Evaluation Of Healthcare Data With The Use Of Vbqa - A Vaers Inspired Bias Question Answer Dataset, Nolan Dulude, Renu Karthikeyan, Bivin Sadler, Faizan Javed

SMU Data Science Review

Abstract. Large Language Models (LLMs) are being used increasingly within the healthcare industry to summarize complex clinical information, but their outputs can often reflect biases inherited from their training data. In healthcare, these biases are not just technical flaws, but they can lead to distorted and false information about vaccine safety, compromise patient trust, and lead to potential harmful outcomes. This study investigates bias found in LLM-generated outputs to question-answer pairs inspired by adverse vaccine reactions using COVID-19 data from the Vaccine Adverse Event Reporting System (VAERS) from 2020–2024. We examined whether training the LLMs on a known Bias Benchmark …

Visual Aids And Numeracy In Healthcare: Leveraging The Drawing Effect, Zephyr J. Markley

Capstone Showcase

Healthcare decisions often require patients to interpret numerical risk information under stress, yet many struggle with low numeracy, which can distort comprehension and undermine informed consent. Well-designed visual aids can improve diagnostic inference, calibrate confidence, and support better choices, especially for patients with limited numeracy, but their impact depends on whether users can actually interpret the format accurately. Drawing may further enhance these tools by adding a tactile, generative layer that engages visual, semantic, and motoric processing while helping patients organize information into concrete models.

Passive visual aids appear useful but limited because they often position patients as observers rather …

Embracing Artificial Intelligence And Digital Health In Cancer Care, Pavitra P. Krishnamani

Advances in Cancer Education and Quality Improvement

Digital health technologies like AI, telemedicine, and wearables are revolutionizing cancer care by enabling earlier detection, personalized treatment, and improved patient support and access.

The Rise Of E-Patients In Tanzania: Reflections On The Unregulated Growth Of Digital Health Consultations, Kahabi Isangula

School of Nursing & Midwifery, East Africa

Background: Digital technologies have significantly transformed healthcare delivery globally, enabling patients to access healthcare services through electronic and mobile platforms. In Tanzania, this transformation has manifested in the rise of “e-patients” — individuals who actively seek health advice, consultation, or treatment through unregulated digital platforms. This paper examines the drivers, patterns, and implications of this trend in Tanzania.

Methods: A descriptive approach was employed, synthesising peer-reviewed and grey literature from global and sub-Saharan African sources, with a particular focus on Tanzania. Insights were also drawn from expert discussions, public digital platforms, and the author’s experiential reflections to contextualize …

July 2025, Swosu Rural Health Center

RURAL ROCKS

July 2025 Rural Rocks

• Three Ways Tech Can Help
• Can a Face Mask Diagnose Kidney Disease?
• EXTRA - Chronic Kidney Disease
• Pharmacy Technicians as Community Health Workers Pilot Program in Oklahoma

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning With Biosensor Signals, Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Anand Paul

School of Public Health Faculty Publications

Diabetes is a growing global health concern, affecting millions and leading to severe complications if not properly managed. The primary challenge in diabetes management is maintaining blood glucose levels (BGLs) within a safe range to prevent complications such as renal failure, cardiovascular disease, and neuropathy. Traditional methods, such as finger-prick testing, often result in low patient adherence due to discomfort, invasiveness, and inconvenience. Consequently, there is an increasing need for non-invasive techniques that provide accurate BGL measurements. Photoplethysmography (PPG), a photosensitive method that detects blood volume variations, has shown promise for non-invasive glucose monitoring. Deep neural networks (DNNs) applied to …

For Patients’ Sake! Can We Get Some Clarity? Defending The Privilege And Confidentiality Of Patient Safety Work Product, Alyssa Boob

Dickinson Law Review (2017-Present)

In 2000, the Institute of Medicine published To Err is Human: Building a Safe Health System, a report revealing the shocking rate of medical errors plaguing the United States healthcare system. Faced with the horrifying consequences of these medical mishaps, Congress sprang into action. It enacted the Patient Safety and Quality Improvement Act of 2005 (PSQIA), which authorized the creation of Patient Safety Organizations (PSOs). Intended to increase transparency and communication amongst healthcare providers, PSOs collect provider medical error data—termed Patient Safety Work Product (PSWP)—and suggest areas of improvement.

The Act grants privilege and confidentiality protections to any information …

Perceptions Of Artificial Intelligence In Healthcare: A Qualitative Study Among Physicians And Nurses In Florida, Aaron Miri

MUSC Theses and Dissertations

This investigation will leverage participant focus group interviews with 32 clinicians (16 nurses / 16 physicians) to study what, if anything, is inhibiting AI adoption across the hospital. Specific physicians will be sourced across the key service lines of primary care, oncology, cardiology, behavioral health, and emergency department medicine, as these tend to be patient volume driven and thus have the maximum amount of potential for positive impact leveraging AI. Nurses in these same departments will be assessed to analyze if there is a similarity or difference between the nursing and physician AI adoption barriers.

A Bibliometric Analysis Of Ai-Driven Healthcare Literature Containing Kos Keywords: Trends, Themes, And Gaps, Julaine Clunis, Eric Asare

STEMPS Faculty Publications

As artificial intelligence (AI) becomes increasingly embedded in healthcare applications, concerns have emerged around the trustworthiness, interpretability, and context-awareness of these systems. Knowledge Organization Systems (KOS) hold considerable potential to address these challenges by supporting semantic standardization, explainability, and domain alignment. This study presents a bibliometric analysis of scholarly publications referencing both AI and healthcare concepts to examine how KOS are positioned within this evolving discourse. The findings indicate that while early literature frequently and explicitly referenced KOS—such as ontologies, controlled vocabularies, and classification systems—their visibility has declined relative to newer paradigms such as machine learning and large language models. …

The Effective Implementation Of Agile Project Management In Healthcare It Projects, Chinedu Chigbu

Harrisburg University Dissertations and Theses

This research paper investigates the effective implementation of Agile project management in the healthcare sector, focusing on its role in facilitating digital transformation initiatives. Through a comprehensive literature review, this study examines current practices, challenges, and future trends in healthcare digitalization, emphasizing the pivotal role of IT project management. Key concepts, models, and success metrics are analyzed, with particular attention to the adoption of Agile methodologies and stakeholder collaboration. Challenges such as interoperability, resistance to change, and data security are scrutinized alongside strategic solutions. The paper also outlines future opportunities, including AI integration and blockchain, and offers recommendations for enhancing …

Patient Experiences With An Mhealth App For Complex Chronic Disease Care: Connections Despite Lack Of Traditional Clinical Interactions, Jenney Lee, Melissa Cheyney, Michael A. May, Marit L. Bovbjerg

Patient Experience Journal

Chronic diseases are costly to treat and burdensome for patients. Mobile health (mHealth) technologies might reduce costs of care and increase patient self-efficacy in chronic disease management, but the patient experience of mHealth is poorly understood. Our objective, therefore, was to evaluate patient experiences with using an mHealth app for complex chronic disease management, within a U.S. population of low-income patients. We used nurse/patient text messages from an mHealth complex chronic disease management tool, and exit interviews from patients, to assess qualitatively Medicaid patients' experiences with a remote monitoring mHealth app. Salient themes about the patient experience included: (1) Visibility …

Enhancing Clinical Relevance Of Pretrained Language Models Through Integration Of External Knowledge: Case Study On Cardiovascular Diagnosis From Electronic Health Records, Qiuhao Lu, Andrew Wen, Thien Nguyen, Hongfang Liu

Faculty, Staff and Student Publications

Background: Despite their growing use in health care, pretrained language models (PLMs) often lack clinical relevance due to insufficient domain expertise and poor interpretability. A key strategy to overcome these challenges is integrating external knowledge into PLMs, enhancing their adaptability and clinical usefulness. Current biomedical knowledge graphs like UMLS (Unified Medical Language System), SNOMED CT (Systematized Medical Nomenclature for Medicine-Clinical Terminology), and HPO (Human Phenotype Ontology), while comprehensive, fail to effectively connect general biomedical knowledge with physician insights. There is an equally important need for a model that integrates diverse knowledge in a way that is both unified and compartmentalized. …

Legal Governance Of Artificial Intelligence In Healthcare Devices And Services In Singapore, Warren B. Chik, Haran Sugumaran

Research Collection Yong Pung How School Of Law

The use of artificial intelligence (AI) in healthcare applies across a spectrum of goods and services that support the industry. The main benefits of developing and applying AI to healthcare are: (a) the potential for it to perform functions beyond what can be done manually by the natural person; (b) the greater efficiency and accuracy that it can give to detection, diagnosis and medication/recovery; (c) the minimisation of risk and the possible lowering of cost (in the long term); and (d) in appropriate cases, minimal human intervention or involvement, especially in situations or conditions that may present a risk of …

Addressing Untimely Healthcare Access Of Veterans Receiving Care Through The Veteran Healthcare Administration (Vha), Frank Lunetta, Jamie Stern, Lila Mcnamee

School of Professional Studies

The Veteran Healthcare Administration (VHA) serves over nine million veterans (Department of Veterans Affairs, 2023). They are responsible for the health and well-being of veterans with service-connected disabilities (Department of Veterans Affairs, 2023). A major focus for the organization is to keep improving access for veterans, as the population continues to grow (Department of Veterans Affairs, 2023). In 2018, congress passed the MISSION Act in hopes of increasing access for veterans. The MISSION Act would expand private healthcare access for veterans through the Veteran Community Care Program (VCCP) (MISSION ACT, 2018). Despite the initial benefits of the program, the MISSION …

Changing The Way Providers Order Blood Return To Intensive Care Patients, Chloe Morris

Spring Showcase for Research and Creative Inquiry

Patients with anemia and other conditions resulting in loss of blood often come with orders to return wasted blood to them. While using typical blood draw practices, patients are placed at an increased risk of infection when their blood is exposed to the outside world. My question is, will using a closed system decrease the instances of infection in patients who receive their waste blood after draws? By utilizing a waste syringe attached to the IV line, nurses can avoid detaching and reattaching syringes to collect and give back the patient's blood. Patients who are already at an increased risk …

Eyris: From The Lab To The Market, Steven Miller, David Gomulya, Mahima Rao-Kachroo

Asian Management Insights

Singapore’s trailblazer AI algorithm for detecting diabetes-related eye diseases. Can you imagine getting the results of your eye disease screening within minutes rather than days? This capability is what EyRIS, a Singapore-based start-up that uses the AI (Artificial Intelligence)-driven Singapore Eye LEsion Analyzer (SELENA+) algorithm to screen for diabetes-related eye diseases, set out to productise and commercialise.

Creating The New Normal: A Historical Approach To Understanding Marketing Agility And Its Implications Across Business, Healthcare, And Social Welfare In A Post Pandemic World, Elan Burton, Delancy Bennett, Linda Burton

Atlantic Marketing Journal

The purpose of this article is to expand our understanding of how marketing agility shapes business, healthcare, and social welfare policy and societal responses to global pandemics. We set the stage for this discussion by presenting an historical exemplar case of marketing agility during the 1918 Influenza pandemic in the US. Next, we outline a necessary conceptual revision and update to previous treatments of marketing agility relative to historical pandemics considering the recent COVID-19 pandemic. Our novel conceptualization focuses on a firm’s (business, healthcare, social welfare) prompt response to dynamic and turbulent circumstances beyond the control of the firm (Araújo …

A Reliable And Secure Mobile Cyber-Physical Digital Microfluidic Biochip For Intelligent Healthcare, Yinan Yao, Decheng Qiu, Huangda Liu, Zhongliao Yang, Ximeng Liu, Yang Yang, Chen Dong

Research Collection School Of Computing and Information Systems

Digital microfluidic, as an emerging and potential technology, diversifies the biochemical applications platform, such as protein dilution sewage detection. At present, a vast majority of universal cyberphysical digital microfluidic biochips (DMFBs) transmit data through wires via personal computers and microcontrollers (like Arduino), consequently, susceptible to various security threats and with the popularity of wireless devices, losing competitiveness gradually. On the premise that security be ensured first and foremost, calls for wireless portable, safe, and economical DMFBs are imperative to expand their application fields, engage more users, and cater to the trend of future wireless communication. To this end, a new …

Delivering Healthcare To The Underserved, Edward Booty

Asian Management Insights

Non-profits, governments, and businesses need to come together and use a data-driven approach to improve local basic healthcare access.

Future-Proofing Healthcare Systems, How Choon How

Asian Management Insights

This includes tackling climate change challenges too.

The Ethics Of Governance Of Data Analytics In Healthcare, Andrew Harrington

Electronic Theses and Dissertations

Recent literature and studies on data governance usually focus on data ethics and governance from a specific country or industry, which has been mostly business, without considering the larger global impact that is affected. Data is a worldwide asset; thus, its implications and considerations should be viewed as such. Hence, this dissertation attempts to incorporate this view by weaving together topics in healthcare, such as the blending of finance and delivery, data governance at the micro and macro levels, data analytics in healthcare, ethics of AI and information management, and technology’s impact on end-of-life practices. Through highlighting these areas of …

Data Science For Hospital Antibiotic Stewardship, Saikou Jawla

Theses and Dissertations

Antibiotics are widely used to treat bacterial infections, but their misuse leads to antibiotic resistance. Antibiotic resistance is one of the biggest threats to global health, food security, and development today. Antibiotic resistance leads to higher medical costs, prolonged hospital stays, and increased mortality. Antimicrobial stewardship is an approach to measure and improve the appropriate use of antibiotics in healthcare settings. Data science has the potential to support these programs by providing insights into antibiotic prescribing patterns, identifying areas for improvement, and predicting patient outcomes. We explored the role of data science in hospital antibiotic stewardship programs, including statistical methods …

A Systematic Literature Review Of Ransomware Attacks In Healthcare, Jasler Klien Adlaon

Electronic Theses, Projects, and Dissertations

This culminating experience project conducted a Systematic Literature Review of ransomware in the healthcare industry. Due to COVID-19, there has been an increase in ransomware attacks that took healthcare by surprise. Although ransomware is a common attack, the current healthcare infrastructure and security mechanisms could not suppress these attacks. This project identifies peer-viewed literature to answer these research questions: “What current ransomware attacks are used in healthcare systems? “What ransomware attacks are likely to appear in the future?” and “What solutions or methods have been used to prepare, prevent, and recover from these attacks?” The purpose of this research is …

A Content Analysis Of Media Coverage Of Telehealth In Mississippi, Hailey Layne

Honors Theses

Telehealth’s utilization within healthcare has expanded and changed areas of healthcare delivery. In rural states like Mississippi barriers to accessing healthcare services exist due to demographic factors, socioeconomic factors, or geographic distance. This study was meant to look at the literature related to telehealth that was being disseminated to Mississippians through online news sources. It was noted whether these articles viewed telehealth utilization in a positive or negative way. Utilizing a cross-sectional media analysis, the news articles were screened using a coding form that acknowledged different themes in the literature. Frequency analyses were conducted to aid in interpreting the common …

Telehealth In Medicine: Predictions 2023–2024, Jiang Li, Ingrid Vasiliu-Feltes, Kathleen Mcgrow, Brendan F. Smith, Paul Barach, Sweta Sneha, Francis X. Campion

College of Population Health Faculty Papers

Each year, Telehealth and Medicine Today asks experts in the field to share their insights into the future and predict how telehealth will influence uptake and healthcare in the new year.

What Impact Does The Ability To Access Healthcare Have On Maternal Outcomes In Africa?, Helena Harris

Nursing | Senior Theses

Background: Maternal mortality rates reflect health inequities in access to obstetric care in some parts of the world including many African countries. Geographical barriers and limited number of skilled human resources have put women in rural areas at a significantly higher risk of maternal mortality.

Research Question: What impact does the ability to access healthcare have on maternal outcomes in African rural areas compared to urban cities?

Methods: A literature review was performed of credible databases. Six articles were reviewed extensively highlighting the purpose, strengths, and limitations of each study. Refer to Appendix A for the literature review table.

Findings: …

Commentary On Healthcare And Disruptive Innovation, Hilary Finch, Affia Abasi-Amefon, Woosub Jung, Lucas Potter, Xavier-Lewis Palmer

Electrical & Computer Engineering Faculty Publications

Exploits of technology have been an issue in healthcare for many years. Many hospital systems have a problem with “disruptive innovation” when introducing new technology. Disruptive innovation is “an innovation that creates a new market by applying a different set of values, which ultimately overtakes an existing market” (Sensmeier, 2012). Modern healthcare systems are historically slow to accept new technological advancements. This may be because patient-based, provider-based, or industry-wide decisions are tough to implement, giving way to dire consequences. One potential consequence is that healthcare providers may not be able to provide the best possible care to patients. For example, …