PARTNERSHIPS ACADEMIC-INDUSTRY
Cohort 09
AI-Assisted Nurse Dashboard for Intelligent Bed Placement
AI-Powered Bed Assignment for Optimized Patient Management
Students: Rebecca Mbadiwe Awofisayo, Lawrence Kumah, Nitika Bhandari Instructor: Hossein Mohit, Ph.D. Industry Sponsor: Wellstar
Students: Pravinya Mandalapu, Krutiben Bhalodia, Mevin Ansa Instructor: Hossein Mohit, Ph.D. Industry Sponsor: Wellstar
Abstract: This capstone proposes an AI-assisted nurse dashboard to optimize emergency department bed placement. By integrating a real time bed board, clinical scoring engine, and AI chatbot, the system reduces placement delays, cognitive burden, and assignment inconsistency while preserving nurse override authority. The framework supports patient safety, operational efficiency, and Wellstar’s digital transformation goals.
Abstract: ED boarding the delay between an admission order and inpatient bed placement threatens patient safety and hospital efficiency. Manual chart reviews and fragmented communication prolong these delays even in EHR- equipped hospitals. This paper proposes extending Wellstar’s KATE AI triage tool into a real-time, AI-assisted bed assignment system within Epic, connecting clinical data with bed availability, unit capabilities, and OR schedules to generate transparent, nurse-controlled placement recommendations. Scenario-based testing across four clinical presentations validates the decision logic. Though conceptual, the framework offers a viable path to reducing ED boarding and advancing AI-driv- en patient flow management.
The Inpatient Perspective: Evaluating the Effectiveness of the Virtual Nursing Department Workflow
Student: Chinenye Ofodile Instructor: Hossein Mohit, Ph.D. Industry Sponsor: Piedmont Healthcare
An Integrated Mobile Application for Diabetes Self-Management
Student: Cassi Proctor Instructor: Hossein Mohit, Ph.D.
Abstract: Virtual nursing (VN) is a subsection of telehealth that provides remote care to patients. Within the hospital setting, VN models support the improvement of the nursing care framework by strengthen- ing inpatient support and advancing patient care standards. The objective is to obtain quantitative data from inpatient leadership to increase the perception of data driven opportunities for communicating between virtual nursing and inpatient leaders. Methods include data collection through a survey; survey feedback assesses the perception and opinions of the current workflow, cultivating opportunities to evaluate effectiveness and identify potential workflow gaps. Results indicated the quality of communi- cation between inpatient and virtual nurses at 3.75 out of 5. Nonetheless, there is a 100% satisfaction rating of the overall relationship between inpatient units and the VN department. This project provides valuable insights on the inpatient perspective of the current VN workflow and identifies an area for improvement.
Abstract: Diabetes mellitus remains one of the most prevalent and costly chronic diseases in the United States, requiring continuous self-management to prevent long-term complications. Although mobile health (mHealth) applications have emerged as supportive tools, many existing diabetes-focused appli- cations address only isolated components of care. This capstone proposes and designs Sweet Spot — a comprehensive mobile application prototype integrating appointment tracking, glucose monitoring, meal planning, and medication management into a single user-friendly platform. Literature review highlights persistent gaps in preventive service utilization, medication adherence, glycemic control, and patient health literacy (CDC, 2026; ADA, 2024). These shortcomings support the need for a patient-cen- tered digital solution that improves engagement and care coordination.
Advancing Patient Portal Adoption at Vitruvian Health: A Strategic MyChart Activation Initiative
Genomic Surveillance and Informatics Framework for C. auris Outbreak Managemenr: A New York Case Study
Student: Tabatha Clifton Instructor: Hossein Mohit, Ph.D. Industry Sponsor: Vitruvian Health
Student: Kadi Doumbia Instructor: Hossein Mohit, Ph.D. Advisor: Christopher Cornelison
Abstract: This project evaluated and improved MyChart patient portal activation at Vitruvian Health us- ing a Continuous Quality Improvement (CQI) approach guided by the Plan-Do-Study-Act (PDSA) frame- work. Key interventions included workflow standardization, staff education, point-of-care enrollment, and targeted patient outreach. Epic SlicerDicer and MyChart dashboards supported ongoing perfor- mance monitoring and data-driven decision-making. The initiative aims to increase activation from 44% to 63%. Key findings highlight the role of health informatics in improving patient engagement, optimizing workflows, and supporting sustainable digital transformation.
Abstract: Candida auris (C. auris) is a multidrug resistant fungal pathogen with high mortality rates, capable of colonizing patients and healthcare equipment. First Identified in 2009 in Japan, has spread to over 61 countries. The New York metropolitan region has the highest outbreak in the U.S. with 45th fatality within 90 days of initial report. In 2024, 6,304 new cases were reported nationally, creating fi- nancial strain on facilities lacking preventative tools. New York cases are primarily Clade I (South Asian lineage) showing nearly 100% resistance to fluconazole and 50% to Amphotericin B.
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DIGITAL HEALTHCARE TRANSFORMATIONS SUMMIT
10 YEARS OF MSHMI | KENNESAW STATE UNIVERSITY
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