A5035501166- Chronic Disease Management Strategies
- Big Data and Business Intelligence
- Information Technology Governance and Strategy
- Mobile Health and mHealth Applications
- Primary Care and Health Outcomes
- Electronic Health Records Systems
- Healthcare Policy and Management
- Digital Mental Health Interventions
- Pharmaceutical industry and healthcare
- Healthcare Quality and Management
- Medical Coding and Health Information
- Machine Learning in Healthcare
- Health Systems, Economic Evaluations, Quality of Life
- Health and Medical Research Impacts
- Health disparities and outcomes
- Occupational Health and Safety Research
- Biomedical Text Mining and Ontologies
- Telemedicine and Telehealth Implementation
Johns Hopkins University Applied Physics Laboratory
2019-2024
Johns Hopkins University
2021
Philips (Finland)
2009-2010
Abstract While digital health solutions continue to grow in number and complexity, the ability for stakeholders healthcare easily discern quality lags far behind. This challenge is part due lack of a transparent standardized approach validation. Evaluation mobile applications (apps) further burdened by low barriers development direct-to-user marketing, leading crowded confusing landscape. In this context, we investigated pragmatic application previously described framework validation,...
As the volume of data that is electronically available promliferates, health-care industry identifying better ways to use this for patient care. Ideally, these are collected in real time, can support point-of-care clinical decisions, and, by providing instantaneous quality metrics, create opportunities improve practice as being cared for. The business-world technology supporting activities referred business intelligence, which offers competitive advantage, increased quality, and operational...
IT executives frequently must be able to communicate value in real economic terms, characterizing how technology infrastructure financially benefits the business relative company's financial performance objectives. A new metric-return on employed (ROIE)-recognizes as both an asset and a service.
Multidimensional techniques for IT valuation is the bridge between financial value management and strategically aligned application of investments. Portfolio one such technique, in which managers categorize various project classes. Even with these methods, however, must still rely on methods that define economic terms individual projects each category
Multidimensional IT valuation approaches are correct for purely financial technique weaknesses by adding dimensions to the value problem. This paper considers three that loosely categorized as multicriteria approaches, strategy frameworks, and portfolio management approaches. These no means independent can complement each other. The also presents a summary of popular representative techniques fit these
ABSTRACT Introduction Deployment-limiting medical conditions (DLMCs) such as debilitating injuries and may interfere with the ability of military service members (SMs) to deploy. SMs in United States (U.S.) Department Navy (DoN) DLMCs who are not deployable should be placed medically restricted status limited duty (LIMDU) or referred Physical Evaluation Board (PEB) for Service retention determination. It is critical identify correctly promptly predict their return-to-duty (RTD) ensure combat...
A high proportion of health care services are persistently utilized by a small subpopulation patients. To improve clinical outcomes while reducing costs and utilization, population management programs often provide targeted interventions to patients who may become persistent users/utilizers (PHUs). Enhanced prediction PHUs can system efficiencies the overall quality patient care.The aim this study was detect key classes diseases medications among assess predictive value these in identifying...
A small proportion of high-need patients persistently use the bulk health care services and incur disproportionate costs. Population management (PHM) programs often refer to these as persistent high utilizers (PHUs). Accurate PHU prediction enables PHM better align scarce resources with PHUs while generally improving outcomes. While prior research in has shown promise, traditional regression methods used studies have yielded limited accuracy.We are seeking improve predictions an ensemble...
<sec> <title>BACKGROUND</title> A high proportion of health care services are persistently utilized by a small subpopulation patients. To improve clinical outcomes while reducing costs and utilization, population management programs often provide targeted interventions to patients who may become persistent users/utilizers (PHUs). Enhanced prediction PHUs can system efficiencies the overall quality patient care. </sec> <title>OBJECTIVE</title> The aim this study was detect key classes...