PARTNERSHIPS ACADEMIC-INDUSTRY
Cohort 09
Patient Intake and Enrollment Process, Exploring Informatics Solutions
Non-Pharmacological & Technology-Based Interventions for Managing Agitation in Dementia Care
Student: Aleisha Meriweather Instructor: Michael Taylor, Ph.D. Industry Sponsor: Traktion
Students: Nitika Bhandari Advisor: Modupe Atkintomide Industry Sponsor: Smart Care Team
Abstract: The intake and enrollment process of the Program of All-Inclusive Care for the Elderly (PACE) explains how a digital intake solution can improve efficiency, accessibility, and patient experience. While PACE programs have demonstrated success in improving patient outcomes and reducing insti- tutional care, the intake process remains complex and toilsome. This study maps the current intake workflow to identify inefficiencies and barriers that delay enrollment and limit access to care. A pro- posed digital intake model is developed using healthcare informatics tools such as automated eligibility verification, mobile-friendly intake platforms, and integrated health information systems. These tools aim to streamline data collection, improve coordination across interdisciplinary teams, and reduce manual administrative processes. The research highlights both the strengths and limitations of the current intake process and demon- strates how digital transformation can enhance operational efficiency and pre-patient intake experi- ence. Expected outcomes include reduced processing time intake improved data accuracy, increased access to services, and a more patient-centered enrollment process. This project emphasizes the role of healthcare informatics in modernizing intake workflows and supporting the expansion of PACE services.
Abstract: Agitation is one of the most prevalent and distressing behavioral symptoms in dementia, yet existing pharmacological treatments carry significant safety risks. This systematic review examines both technology-based and non-technology-based (in-person) non-pharmacological interventions for managing agitation in individuals living with dementia. Technology-based approaches, including virtual reality, robotic companions, personalized digital music systems, tablet applications, and sensor-based monitoring tools are compared against traditional in-person methods such as music therapy, reminis- cence activities, animal-assisted programs, and structured social interaction. Nine studies were includ- ed following PRISMA 2020 and JBI guidelines. Findings consistently demonstrate that technology-based interventions offer effective, scalable, and safer alternatives, with personalization identified as the key driver of sustained agitation reduction across all care settings.
DocuSense AI: AI-Driven Clinical Documentation Integrity & Revenue Leakage Detection
Students: Lawrence Kumah, Mbadiwe Awofisayo Advisor: Hossein Mohit, Ph.D.
Abstract: DocuSense AI is an AI-driven clinical documentation integrity platform for U.S. healthcare organizations. It applies NLP text analysis, rules-based code validation, and DRG impact modeling to detect documentation gaps, flag compliance risks, and estimate revenue leakage before claims are finalized.
AI Patient Passport & Clinical Decision Support Platform
Students: Lawrence Kumah, Mbadiwe Awofisayo, Nitika Bhandari Advisor: Hossein Mohit, Ph.D.
Abstract: Healthcare data fragmentation across U.S. systems causes diagnostic delays, inefficient care coordination, and critical gaps in emergency response. This work presents an AI-enabled Patient Passport and Clinical Decision Support Platform that centralizes patient health information, delivers real-time risk stratification, and supports frontline clinical decision-making. The system integrates patient profiles, lab interpretation, risk prediction, and Al-assisted recommendations within a secure, FHIR-aligned architecture - demonstrating measurable potential to improve triage efficiency, increase patient engagement, and reduce operational bottlenecks at scale.
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DIGITAL HEALTHCARE TRANSFORMATIONS SUMMIT
10 YEARS OF MSHMI | KENNESAW STATE UNIVERSITY
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