high-quality data for confident clinical decisions
Diagnostic errors occur in 5–20% of physician–patient encounters [3][4]
Why high-quality clinical data matters
Inaccurate, delayed, or inconsistent data can compromise patient safety, leading to misdiagnoses, medication errors, and poor outcomes [1][2]. Reliable, real-time clinical data is essential for early detection, timely interventions, and better decision-making.
Currently, vital sign measurements in hospitals are often taken manually at set intervals. This approach leaves gaps between measurements, increasing the risk of missing early signs of patient deterioration [3]. Moreover, manual documentation is time-consuming and prone to errors.
Continuous, automated monitoring with wearable sensors eliminates these inefficiencies, allowing healthcare teams to focus on patient care rather than routine checks. However, the accuracy and reliability of this data are critical—poor-quality data is just as dangerous as missing data.
How smartQare ensures data accuracy?
smartQare’s wearable biosensors, viQtor and Healthdot, deliver real-time, medical-grade vital sign monitoring. By automating data collection, we remove the risk of manual entry errors, ensuring healthcare teams receive complete, accurate, and timely information.
commitment to Clinical-Grade data:
✅ Validated Against Hospital Standards
Every new vital sign measurement is benchmarked against the most widely accepted clinical methods used in hospitals to ensure equivalent or superior accuracy.
✅ Automated Internal Quality Checks
Our devices have built-in data validation mechanisms that continuously monitor measurement quality, detecting and filtering out inaccuracies before the data reaches healthcare providers.
✅ Remote Early Warning Score (REWS) for Early Deterioration Detection
By analyzing real-time vital sign trends, our validated algorithms generate early warnings for at-risk patients, ensuring timely intervention and reducing the risk of complications.
✅ Continuous Validation Across Diverse Patient Populations
We rigorously test our algorithms using clinical datasets from a broad range of patients—accounting for variations in age, gender, treatment types, and co-morbidities. This ensures reliable performance across different healthcare settings.
✅ Seamless Integration with Clinical Workflows
smartQare’s solution integrates with hospital monitoring platforms and Electronic Health Record (EHR) systems, ensuring that high-quality data is instantly available where it matters most—without disrupting existing workflows.
Trusted Data, Smarter Decisions
With smartQare’s validated data, clinicians can trust every reading—enabling proactive, data-driven decisions that improve patient outcomes. By combining continuous monitoring, automated quality control, and rigorous validation, we empower healthcare professionals with the confidence to act swiftly and effectively, ensuring better patient care.
sources
[1] https://kodjin.com/blog/the-value-of-data-quality-in-healthcare/
[2] https://atlan.com/data-quality-in-healthcare/
[3] National Academies of Sciences, Engineering, and Medicine. Improving diagnosis in health care. Washington (DC): National Academies Press; 2015 (https://doi.org/10.7326/M15-2256, accessed 6 September 2023).
[4] Bergl PA, Nanchal RS, Singh H. Diagnostic error in the critically ill: defining the problem and exploring next steps to advance intensive care unit safety. Ann Am Thorac Soc. 2018;15(8):903–7.