5 Worse Incidents Caused by Poor Data Quality in Healthcare Sector
With healthcare data accounting for over 30% of the world's total data, the need for trustworthy, high-quality data is undeniable. Poor data quality contributes significantly to healthcare challenges, making it imperative to access quality data for better operation efficiency and decision-making.
Healthcare organizations are essential pillars of a patient's well-being and find themselves navigating a landscape where data quality can be a make-or-break factor. According to Morning Consult’s Healthcare Data Readiness Crisis, a staggering 97% of healthcare leaders acknowledge the presence of a data readiness challenge, hindering the much-needed digital transformation. This apprehension is echoed in Sage Growth Partners’ report, revealing that only 20% of healthcare organizations fully trust their data, posing a significant obstacle to innovation.
Impact of Poor Data Quality on Healthcare
Poor Data Quality, characterized by inaccuracies, redundancy, incompleteness, or outdated information, is a critical obstacle. Duplicate patient records, missing diagnostic details, and outdated coding are just a few examples that compromise patient understanding, impeding holistic care. Here are five worse incidents that are caused by poor data quality in the healthcare sector;
Degraded Patient Care
Health systems striving for comprehensive care often face challenges in aggregating data from disparate touchpoints in a patient's journey. Incomplete patient information can lead to unnecessary care, delayed appointments, and disjointed clinical workflows.
A study on the impact of fragmented patient data highlighted instances where fragmented data led to suboptimal patient care, resulting in increased healthcare costs and compromised health outcomes.
Poor Decision-Making at the Point of Care
Quality data is foundational for efficient communication between care teams, impacting clinical decisions, care management, and patient outcomes. Coding gaps can lead to delayed treatments and increased costs, emphasizing the need for precise, real-time data.
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Interoperability Becomes Hard to Achieve
Achieving interoperability requires clean, standardized data that speaks the same language. Siloed and varied data formats hinder seamless information exchange among stakeholders, including payers, providers, and patients.
A recent analysis on interoperability challenges in modern healthcare detailed the obstacles faced by healthcare providers in achieving seamless data exchange due to siloed data formats.
Non-Compliance with Industry Regulations
Patients demand access to their health information while expecting strict privacy protection. Data quality controls are crucial for compliance and safeguard against unauthorized access and potential criminal behavior surrounding protected health information (PHI).
A comprehensive report on the Impact of poor data quality on regulatory compliance by PPD highlighted instances where non-compliance led to legal repercussions and compromised patient privacy.
Delay in the Medicinal Technological Advancement
Life science companies rely on real-world evidence for drug development. Poor data quality can lead to inaccurate conclusions during clinical trials, impacting the commercialization of new medications.
Real-world evidence challenges in drug development discuss the challenges of real-world evidence in drug development, citing instances where poor data quality affected the pace of bringing novel medicines to market.
A Solution to Data Quality Issues in Healthcare
In the healthcare industry where precision can be a matter of life and death, the role of data quality is paramount. As we navigate the complexities of patient care, decision-making, interoperability, regulatory compliance, and groundbreaking research, the importance of high-quality data cannot be overstated.
The examples we have looked at highlight the urgent need for a transformative solution, from the risks associated with providing patient care without complete data to the difficulties in achieving interoperability and compliance. Here's where digna emerges as the key to overcoming these challenges.
By leveraging the power of digna, healthcare organizations can improve their data quality, paving the way for enhanced patient care, streamlined decision-making, seamless interoperability, regulatory adherence, and the accelerated development of novel treatments. The journey to better healthcare begins with a commitment to better data.
Embrace the future of healthcare, where data isn't just information but a catalyst for positive change. Schedule a demo with digna today and embark on a transformative path towards a healthier, more connected future. Your patients deserve the precision, care, and innovation that only quality data can deliver.