Direct to your Electronic Health Records
The state of Electronic Health Record data quality
The adoption of Electronic Health Record (EHR) systems promised better quality care, decreased costs, and better data management. Though they have great potential, poor implementation and low usage of EHRs has led to incomplete and incorrect data that has endangered patients.¹
The Office of the National Coordinator for Health Information Technology stated that human-error was the leading cause of incorrect entry for clinical information (e.g. weight, height, or medical history).² To tackle this problem, Stel aims to minimize human involvement by allowing clinical devices to directly send information to corresponding health records.
Improving data quality by automating data entry
Connected via Stel
Automating data pipelines requires two components:
1. Quality devices that accurately track patient data and reliably prepare it for transcription into health records.
2. A quality system for patient identification to correctly associate values with the desired patient.
Stel's platform allows for both by utilizing recent advancements in bluetooth wireless technology. Stel sources data from any bluetooth devices such as weight scales, blood pressure cuffs, thermometers, smart water bottles, etc. This flexibility enables connecting with larger sources of data to surface more insights and patient trends in an effort to promote quality healthcare.
Using beacons and other techniques, Stel is able to conduct patient identification. In low-confidence situations, Stel requires human acknowledgement to update patient health records.
Data entry errors are common
Errors with incorrect data entry are the most common problem identified and occurred in 65% of medical record events.¹
Medical scribes as an industry
Hospitals are spending on additional staff like medical scribes, to allow physicians to concentrate on patient care, not data entry.⁵
Studies and citations
1. Emergency Care Research Institute (ECRI), Wrong-Record, Wrong-Data Errors with Health IT Systems
3. Health Services Research, Cost of Hospital Care for Older Adults with Heart Failure
Improving data quality for difficult manual processes
"I’ve had issues with fluid tracking since the 80s, and it’s only been getting worse over the years."
- Dr. Herzog, Mt. Sinai - Cardiac Care Unit Director
Clinical experience and nursing metrics have constantly identified poor documentation of fluid balance monitoring as resulting in costly mistakes that compromise patient safety and quality of care. The manual collection process is expensive ($100 per day per patient)³, inaccurate (30% correct or complete)⁴, and results in poor patient outcomes such as extended hospitalization, elevated risk of infection, and higher readmission rates.
Stel built a patent pending device that automates this problem by allowing toilets to measure fluid output quantity and associate those values to the correct patient.
Manual data collection errors
Only 30% of manual fluid balance sheets are complete or correct. ⁴ Below is an example of a populated fluid balance sheet.
Stel's accuracy test results
Initial testing shows Stel to be more accurate and consistent than manually tracked fluid balance charts from hospital published quality improvement projects.
*Upcoming clinical pilots will test a direct performance comparison between Stel and manual charting in a hospital.
Avg. data from 100 samples
Stel's accuracy and patient identification
Utilizing accurate and complete data to improve quality of care
The ideal goal of length-of-stay initiatives is to improve patient discharge, which includes premature and delayed patient release. Achieving that requires improved efficiency at all points of the inpatient stay, from admission to discharge, as well as data completion and signal improvement for healthcare professionals. Facilitating proper discharge without delay also means patients are not excessively held due to shift changes or resource constraints. Longer term, successful strategies for reducing length-of-stay and readmissions focus on helping patients transition smoothly out of the inpatient setting by providing tools for self-management, as well as providing actionable instructions and information for post-discharge follow-up.