A5001800464- Geriatric Care and Nursing Homes
- Chronic Disease Management Strategies
- Nursing Diagnosis and Documentation
- Machine Learning in Healthcare
- Palliative Care and End-of-Life Issues
- Frailty in Older Adults
- Artificial Intelligence in Healthcare and Education
- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
- Patient-Provider Communication in Healthcare
- Nosocomial Infections in ICU
- Patient Satisfaction in Healthcare
- Dementia and Cognitive Impairment Research
- Emergency and Acute Care Studies
- Family and Patient Care in Intensive Care Units
- Clostridium difficile and Clostridium perfringens research
- Sepsis Diagnosis and Treatment
- Healthcare Decision-Making and Restraints
- Pressure Ulcer Prevention and Management
- Infection Control in Healthcare
- Heart Failure Treatment and Management
- Food Security and Health in Diverse Populations
- Pelvic floor disorders treatments
- Infection Control and Ventilation
- Burn Injury Management and Outcomes
University of Pennsylvania
2023-2025
University of Pennsylvania Health System
2024
Columbia University
2019-2023
National Institute of Nursing Research
2022
Visiting Nurse Service of New York
2022
New York Proton Center
2022
Oregon Medical Research Center
2022
Lindsay Unified School District
2022
University of Pittsburgh
2022
Manhattan Institute for Policy Research
2022
This article examines the potential of generative artificial intelligence (AI), such as ChatGPT (Chat Generative Pre-trained Transformer), in nursing education and associated challenges recommendations for their use. AI offers benefits aiding students with assignments, providing realistic patient scenarios practice, enabling personalized, interactive learning experiences. However, integrating also presents challenges, including academic integrity issues, plagiarism copyright infringements,...
Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric indicator of the quality nursing care. Timely accurate prediction risk can significantly facilitate early prevention treatment avoid adverse outcomes. While many assessment tools exist, most were developed before there was access to large clinical datasets advanced statistical methods, limiting their accuracy. In this paper, we describe development...
Background About one in five patients receiving home healthcare (HHC) services are hospitalized or visit an emergency department (ED) during a care episode. Early identification of at-risk can prevent these negative outcomes. However, risk indicators, including language clinical notes that indicate concern about patient, often hidden narrative documentation throughout their HHC Objective The aim the study was to develop automated natural processing (NLP) algorithm identify concerning...
Many patients with end-stage renal disease (ESRD) undergoing hemodialysis (HD) experience depression. Depression influences patient quality of life (QOL), dialysis compliance, and medical comorbidity. We developed applied a group cognitive behavioral therapy (CBT) program including mindfulness meditation for ESRD HD, measured changes in QOL, mood, anxiety, perceived stress, biochemical markers.We conducted CBT over 12-week period seven HD suffering from stress were at baseline weeks 8 12...
ObjectiveTo describe nurse hand hygiene practices in the home health care (HHC) setting, adherence to guidelines, and factors associated with opportunities during visits.DesignObservational study of practices.Settingand Participants: Licensed practical/vocational registered nurses were observed homes patients being served by a large nonprofit HHC agency.MethodsTwo researchers 400 visits conducted 50 nurses. The World Health Organization's "5 Moments for Hand Hygiene" validated observation...
To identify the risk factors home healthcare (HHC) clinicians associate with patient deterioration and understand how respond to document these factors.
Providing ethical, timely, and goal-concordant care for critical patients who are incapacitated with no evident advance directives or surrogates (INEADS) can pose challenges to nursing staff other team members may delay alter trajectories. In a nested case-control study, we aimed determine whether INEADS have different hospitalization timelines, consultative services, discharge dispositions relative matched control subjects. Data were obtained from the publicly accessible Medical Information...
Purpose To determine factors associated with emergency department (ED) visits or hospitalizations among older adults urinary incontinence (UI) in home health care (HHC). Method We analyzed HHC episode data for aged ≥65 years UI. Five clusters were identified a priori using hierarchical clustering of symptoms extracted from clinical notes natural language processing. Chi-square tests and backward stepwise logistic regression cluster, sociodemographic, variables outcomes. Results A total...
Previous studies have focused on identifying risk factors for older adults receiving home healthcare services without considering vital signs. This may provide important information deteriorating health conditions that lead to hospitalization and/or emergency department (ED) visits. Thus, it is understand the relationship between signs and ED visits critical sign points mitigating higher risks of secondary data analysis uses cross-sectional from a large, urban organization ( n = 61,615). A...
Little is known about proactive risk assessment concerning emergency department (ED) visits and hospitalizations in patients with heart failure (HF) who receive home healthcare (HHC) services. This study developed a time series model for predicting ED HF using longitudinal electronic health record data. We also explored which data sources yield the best-performing models over various windows.
This study aimed to: (1) validate a natural language processing (NLP) system developed for the home health care setting to identify signs and symptoms of Alzheimer’s disease related dementias (ADRD) documented in clinicians’ free-text notes; (2) determine whether detected via NLP help patients at risk new ADRD diagnosis within four years after admission. applied longitudinal dataset including medical record Medicare claims data 56,652 Cox proportional hazard models subset 24,874 admitted...
Abstract The electronic health record (EHR) contains valuable patient data and offers opportunities to administer analyse patients’ individual needs longitudinally. However, most information in the EHR is currently stored unstructured text notations. Natural language processing (NLP), a branch of artificial intelligence that enables computers understand, interpret, generate human language, can be used delve into uncover insights knowledge. This article discusses different types NLP,...
We aimed to create and validate a natural language processing algorithm extract wound infection-related information from nursing notes. also estimated infection prevalence in homecare settings described related patient characteristics. In this retrospective cohort study, was developed validated against gold standard testing set. Cases with were identified using the linked Outcome Assessment Information Set data identify The final version of vocabulary contained 3914 terms expressions...