Digital Health Data Quality Issues: Systematic Review
Rehan Syed1, Rebekah Eden1, Tendai Makasi1
1School of Information Systems, Faculty of Science, Queensland University of Technology, Brisbane, Australia.
Journal of Medical Internet Research
|March 31, 2023
Summary
This study introduces a digital health data quality framework (DQ-DO) to address fragmented data quality dimensions. The framework reveals consistency as the most influential dimension, impacting all others and various outcomes.
Area of Science:
- Digital Health
- Health Informatics
- Data Quality Management
Background:
- Digital health's promise hinges on data analysis for improved decision-making.
- Effective data utilization is hindered by poor data quality (DQ).
- A consolidated DQ taxonomy for digital health is lacking in existing literature.
Approach:
- A systematic literature review following PRISMA guidelines was conducted.
- 227 articles on digital health DQ in hospital settings were analyzed.
- Inductive and computer-assisted analyses identified DQ dimensions, outcomes, and their interrelationships.
Key Points:
- The developed DQ-DO framework includes 6 DQ dimensions: accessibility, accuracy, completeness, consistency, contextual validity, and currency.
- Consistency is the most influential DQ dimension, impacting all others.
- Five DQ outcomes (clinical, clinician, research, business, organizational) are identified, influenced by consistency and accessibility.
Conclusions:
- The DQ-DO framework highlights the complexity of digital health DQ and the need for improvement.
- It offers healthcare executives a holistic view of DQ issues and outcomes.
- The framework aids in prioritizing DQ-related problem-solving.
Related Concept Videos
01:29Issues And Trends In Healthcare Delivery System
5.7K
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...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
01:30Health Information Technology and Healthcare Information System
883
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
883
01:11Purpose of Health Records I
1.3K
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:
Here's a breakdown of how health records serve these purposes:
1.3K
01:10Documentation of Nursing Diagnosis
1.3K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.3K
01:03Data Validation
5.1K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
5.1K
01:25Errors occurring during blood pressure monitoring
809
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
Several factors...
809