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Health Information Technology and Healthcare Information System

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Ethical Standards I

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...

Purpose of Health Records I

Purpose of Health Records I

The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:

Documentation in Long-Term and Home Healthcare Setting

Documentation in Long-Term and Home Healthcare Setting

Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities

Integrated Healthcare System

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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An Enhanced Standardization and Qualification Mechanism for Heterogeneous Healthcare Data.

George Manias¹, Ainhoa Azqueta-Alzúaz², Andrea Damiani³

¹University of Piraeus, Piraeus, Greece.

Studies in Health Technology and Informatics

|May 19, 2023

Summary

This study introduces a novel mechanism for cleaning, qualifying, and standardizing healthcare data from diverse sources. This approach enhances personalized risk assessment and recommendations, particularly for pancreatic cancer patients.

Keywords:

Data Qualification Data Standardization Healthcare Analytics

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Area of Science:

Health Informatics
Data Science
Computational Biology

Background:

Healthcare data is increasingly sourced from varied origins and formats, necessitating advanced data processing.
Existing methods for data qualification and standardization often lack automation and integration.
The need for robust data management is critical for accurate clinical decision-making and research.

Purpose of the Study:

To present a novel, integrated mechanism for automated data cleaning, qualification, and standardization.
To address the challenges posed by heterogeneous healthcare data sources and formats.
To improve the reliability of data for enhanced personalized risk assessment and patient recommendations.

Main Methods:

Development and implementation of three integrated subcomponents: Data Cleaner, Data Qualifier, and Data Harmonizer.
Application of the mechanism to real-world data, specifically focusing on Pancreatic Cancer.
Evaluation of the system's performance in cleaning, qualifying, and harmonizing diverse datasets.

Main Results:

Successful cleaning, qualification, and harmonization of heterogeneous healthcare data.
Demonstrated effectiveness of the integrated mechanism in processing Pancreatic Cancer data.
Improved data quality facilitating more accurate risk assessment and personalized recommendations.

Conclusions:

The proposed mechanism offers an effective solution for managing and standardizing diverse healthcare data.
This approach significantly contributes to advancing personalized medicine through reliable data analytics.
The system shows promise for broader application in clinical research and patient care.