Data Modelling In Healthcare

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Data Modeling in Healthcare: Challenges and Opportunities

(5 days ago) WebData modeling in healthcare involves creating a representation of real-world data with the purpose of understanding and optimizing healthcare processes. However, this often presents challenges such as variability in the data collected, the complexity of …

https://reconfigured.io/blog/data-modeling-in-healthcare-challenges-and-opportunities

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Healthcare Data Models Course by University of …

(3 days ago) WebIntroduction to Healthcare Data Models. Module 1 • 2 hours to complete. In this module, you will be able to define the foundational terms used in …

https://www.coursera.org/learn/healthcare-data-models

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A framework for making predictive models useful in practice

(3 days ago) WebINTRODUCTION. Over the past decade, the rapid increase in the availability of healthcare data collected during routine care and dramatic advances in machine learning have fed a great deal of excitement about using machine learning to improve clinical care. 1–4 Predictive models, which estimate the probability of some event of interest occurring …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200271/

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Data Model Considerations for Clinical Effectiveness …

(3 days ago) WebIn the United States, the adoption of electronic health record systems is expected to increase rapidly, spurred by financial incentives and penalties mandated in the American Recovery and Reinvestment Act. 1–3 At the same time, interest has grown in evaluating the effectiveness of clinical care practices using electronic data recorded during routine …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3824370/

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The A-to-Z Guide to Healthcare Data Models Gaine …

(3 days ago) Web1. Cross-Industry Enterprise Data Management (EDM) and Analytics Technology. EDM platforms frequently offer data models as a feature of analytical and data management tools. 2. Industry Clouds. …

https://gaine.com/blog/health/the-a-to-z-guide-to-healthcare-data-models/

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How to Build Adaptive Healthcare Data Models: 5 Lessons

(4 days ago) WebBased on this extensive experience—successes and failures—here are the five pragmatic lessons we’ve learned about building adaptive healthcare data models: #1. Focus on the Most Relevant Content. Health Catalyst built concise yet adaptive data models using the most widely employed data elements from the products and analyses …

https://www.healthcatalyst.com/insights/how-to-build-adaptive-healthcare-data-models-5-lessons

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How Predictive Analytics & Modeling in Healthcare …

(9 days ago) WebPotential Use Cases in Healthcare. In practice, predictive analytics offers benefits across multiple use cases, such as: Improved patient outcomes. By integrating patient records with other health data, healthcare organizations can detect warning signs of serious medical events and proactively prevent their occurrence. Holistic health support.

https://healthtechmagazine.net/article/2021/04/how-predictive-modeling-healthcare-boosts-patient-care-perfcon

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Explainable Artificial Intelligence for Predictive Modeling …

(3 days ago) WebHealth Consumer-Generated Content (HCGC) is a nontraditional data source that is drawing attention in predictive modeling for healthcare in recent years. EHRs, clinical trials, and scientific literature are collected or produced by clinicians, health professionals, or medical researchers that are believed to have high quality.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832418/

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Standardized electronic health record data modeling and …

(7 days ago) WebOn the other hand, standardized healthcare data modeling is one of the most favorable paths for achieving semantic interoperability, facilitating patient data integration from different healthcare systems. This paper compares the state-of-the-art of the most crucial database management systems used for storing standardized EHRs data.

https://www.sciencedirect.com/science/article/pii/S1532046420302987

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IBM Unified Data Model for Healthcare

(2 days ago) WebUnified data management for better patient care. IBM Unified Data Model for Healthcare is an industry-specific blueprint that provides data warehouse design models, business terminology and analytics to help you quickly develop business applications. It includes prebuilt reporting templates that offer a deeper view of your organization through

https://www.ibm.com/products/unified-data-model-for-healthcare

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What Is the Best Healthcare Data Warehouse Model?

(6 days ago) WebHealth Catalyst advocates for a late-binding approach to data modeling that overcomes the challenges inherent in the first two models. The adaptive, pragmatic late-binding approach is designed to handle the rapidly changing business rules and vocabularies that characterize healthcare.

https://www.healthcatalyst.com/insights/best-healthcare-data-warehouse-model

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Using Data Analytics to Predict Outcomes in Healthcare

(5 days ago) WebPredictive analytic tools are being used more and more in many industries, including healthcare. The vast amount of healthcare data that is now digitized has created massive new data sets available from sources such as electronic health record systems, health claims data, radiology images, and lab results. By utilizing data from these …

https://journal.ahima.org/page/using-data-analytics-to-predict-outcomes-in-healthcare

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Healthcare Data Models: Uses and Benefits Gaine Solutions

(8 days ago) WebImplementing data models in healthcare IT systems has many practical use cases and benefits for organizations navigating these complex transitions. 1. Improved Data Quality. Well-designed data models improve healthcare data accuracy, completeness, and consistency, enabling the extraction of master data for use in …

https://gaine.com/blog/mdm/healthcare-data-models-uses-and-benefits/

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ISO - An easy guide to understanding healthcare data analytics

(5 days ago) WebThe field of healthcare data analytics stands at the intersection of technology and healthcare, promising to transform how we manage, deliver and access medical services. In practice, hospital data, medical data and clinical data are already being used to improve inventory management and provide personalized healthcare to patients.

https://www.iso.org/healthcare/data-analytics

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Healthcare Data Models and Ontologies Smile Digital Health

(7 days ago) WebIn order for healthcare data to be shared among data models and ontologies, information systems need to securely communicate with each other. These systems became more commercially available in the 1990s and 2000s, but the majority were unable to support the integration of healthcare data and weren’t available as full …

https://www.smiledigitalhealth.com/our-blog/healthcare-data-models-ontologies

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Common Data Model Harmonization HealthIT.gov

(4 days ago) WebProject Background This project focused on building data infrastructure for conducting patient-centered outcomes research (PCOR) using data derived from the delivery of healthcare in routine clinical settings, such as data from insurance billing claims, electronic health records (EHRs), and patient registries. The common data model (CDM) …

https://www.healthit.gov/topic/scientific-initiatives/pcor/common-data-model-harmonization-cdm

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Common Data Model Harmonization

(2 days ago) WebGeneration, or Common Data Model Harmonization (CDMH) project, aims to support research and analyses across multiple data networks by harmonizing several existing CDMs. This is one step in enabling researchers to tap into the wealth of real-world data from large numbers of patients who represent a wider range of demographics, health …

https://www.healthit.gov/sites/default/files/page/2020-07/CDMH-Project-Summary.pdf

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Modeling Healthcare Data with Graph Databases - TigerGraph

(8 days ago) WebGraph Databases! Graphs are perfect fo r storing and visualizing healthcare data models. They are designed to handle highly connected information, like patient records. If you are unfamiliar with graphs, check out this awesome article that introduces some of the basics of graph theory.

https://www.tigergraph.com/blog/modeling-healthcare-data-with-graph-databases/

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Must-have Healthcare Data Models for Your Health System

(2 days ago) WebAs healthcare organizations seek to transform into technology-driven, data-rich entities, there is an increasing need for a comprehensive set of healthcare data models. Effective utilization of these healthcare data models can maximize efficiency within the health system and help identify new opportunities to optimize patient outcomes.

https://www.314e.com/blog/must-have-healthcare-data-models-for-your-health-system/

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FHIR Data Model: Bridging Gaps in Modern Healthcare Systems

(7 days ago) WebThe FHIR’s data types define the format and structure for essential healthcare elements, such as dates, numbers, and text. By standardizing these basic units, the FHIR relational data model ensures that reference data—like patient IDs or medication codes—are consistently represented across different systems.

https://relevant.software/blog/fhir-data-model/

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Healthcare Data Model (HCDM) - Teradata

(8 days ago) WebThe Teradata Healthcare Data Model (HCDM) provides a blueprint for designing an integrated data warehouse that reflects your organization's objectives. It lets you create an ideal framework for a wide range of analytical applications, launch new lines of business, support new payment models and meet evolving government mandates.

https://www.teradata.com/industries/healthcare/healthcare-data-model

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Using Data Modeling to Protect Healthcare Data - ArgonDigital

(6 days ago) WebUse Modeling to Identify Vulnerabilities. Comprehensively mapping the data space of a healthcare process makes it possible to build confidential and user-friendly systems for clients. For example, as the ecosystem map below demonstrates, a typical patient scheduling process involves a surprising number of systems.

https://argondigital.com/blog/product-management/using-data-modeling-to-protect-healthcare-data/

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Data-based modeling of cerebral hemodynamics quantifies …

(3 days ago) WebThe employed dynamic modeling approach is canonical (i.e. generally applicable) and has been shown to yield robust input-output linear dynamic models of certain aspects of cerebral blood flow regulation using spontaneous time-series data. 33–36 Key parameters of the estimated models and model-based indices of the regulation of …

https://journals.sagepub.com/doi/full/10.1177/0271678X241254716

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Generalizability of a Musculoskeletal Therapist Electronic Health

(Just Now) WebPurpose Electronic Health Records (EHRs) can contain vast amounts of clinical information that could be reused in modelling outcomes of work-related musculoskeletal disorders (WMSDs). Determining the generalizability of an EHR dataset is an important step in determining the appropriateness of its reuse. The study aims to …

https://link.springer.com/article/10.1007/s10926-024-10196-w

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Open Challenges and Opportunities in Federated Foundation …

(2 days ago) WebThis survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) for advancing biomedical research. Foundation models such as ChatGPT, LLaMa, and CLIP, which are trained on vast datasets through methods including unsupervised pretraining, self …

https://arxiv.org/abs/2405.06784

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Learning to Share Health Care Data: A Brief Timeline of Influential

(3 days ago) WebThe last twenty years of health care research has seen a steady stream of common health care data models implemented for multi-organization research. Each model offers a uniform interface on data from the diverse organizations that implement them, enabling the sharing of research tools and data. While the groups designing the …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437693/

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Healthcare Free Full-Text Longitudinal Analysis and Latent …

(1 days ago) WebTherefore, the purpose of this study was to evaluate the structural validity, longitudinal invariance properties, and latent growth curve (LGC) modeling of the modified five-item HOOS-JR in a large multi-site sample of patients who underwent a THA. A longitudinal study was conducted using data from the Surgical Outcome System (SOS) …

https://www.mdpi.com/2227-9032/12/10/1024

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Expanding access to cognitive behavioral therapy: A purposeful …

(5 days ago) WebThis paper provides a model for implementing cognitive behavioral therapy (CBT) in community pediatric primary care via master’s prepared therapists through an academic-community partnership. This paper describes the hiring practices, training in CBT, ongoing supervision and consultation, and use of data to inform the evolution of the model.

https://psycnet.apa.org/record/2024-44164-001

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A New Era Of Martech: Mastering Data Compliance In Healthcare

(1 days ago) WebThe intersection of marketing technology and stringent data regulations demands a nuanced approach to ensure both compliance and effective marketing strategies. This has left many healthcare

https://www.forbes.com/sites/forbesagencycouncil/2024/05/10/a-new-era-of-martech-mastering-data-compliance-in-healthcare/

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The benefits of health interventions McKinsey Health Institute

(2 days ago) WebBy 2040, the world could gain these benefits by expanding known health interventions: 226 million. premature deaths prevented. +21 healthy days. per person each year (on average) 252 million. additional people in …

https://www.mckinsey.com/mhi/our-insights/scale-what-works-the-benefits-of-proven-health-interventions

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Patient-Centered Medical Home (PCMH) Model

(Just Now) WebUsing a patient-centered, culturally appropriate, and team-based approach, the PCMH model coordinates patient care across the health system. The PCMH model has been associated with effective chronic disease management, increased patient and provider satisfaction, cost savings, improved quality of care, and increased preventive care

https://www.cdc.gov/cardiovascular-resources/php/pcmh-model/index.html

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Nurse perceptions of practice environment, quality of care and …

(9 days ago) WebImproving the practice environment, quality of care and patient safety are global health priorities. In South Africa, quality of care and patient safety are among the top goals of the National Department of Health; nevertheless, empirical data regarding the condition of the nursing practice environment, quality of care and patient safety in public …

https://bmcnurs.biomedcentral.com/articles/10.1186/s12912-024-01992-z

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Healthcare Free Full-Text Systematic Review: HIV, Aging, and

(Just Now) WebAdvances in anti-retroviral therapy (ART) have decreased mortality rates and subsequently led to a rise in the number of HIV-positive people living longer. The housing experiences of this new population of interest—older adults (50 years and older) living with HIV—are under-researched. Understanding the housing experiences and unmet needs …

https://www.mdpi.com/2227-9032/12/10/992

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Effect of heatwaves on daily hospital admissions in Portugal, …

(Just Now) WebMoreover, few studies assessed the monthly and weekly dynamics of hospital admissions in the context of the extended summer period, leaving a gap in understanding heat's influence on health-care use patterns. The available data on the health impact of heatwaves on morbidity, along with stakeholders’ low awareness of heat-related risks, might

https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(24)00046-9/fulltext?dgcid=raven_jbs_etoc_email

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TILTomorrow today: dynamic factors predicting changes in …

(1 days ago) WebPractices for controlling intracranial pressure (ICP) in traumatic brain injury (TBI) patients admitted to the intensive care unit (ICU) vary considerably between centres. To help understand the rational basis for such variance in care, this study aims to identify the patient-level predictors of changes in ICP management. We extracted all heterogeneous …

https://www.medrxiv.org/content/10.1101/2024.05.14.24307364v1

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Exploiting urine-derived induced pluripotent stem cells for …

(2 days ago) WebThe field of regenerative medicine has witnessed remarkable advancements with the emergence of induced pluripotent stem cells (iPSCs) derived from a variety of sources. Among these, urine-derived induced pluripotent stem cells (u-iPSCs) have garnered substantial attention due to their non-invasive and patient-friendly acquisition …

https://jbiomedsci.biomedcentral.com/articles/10.1186/s12929-024-01035-4

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