If you're like most aesthetic providers, you likely feel inundated with data.
Patient records, lab results, consent forms - it's a constant stream of information flooding your EHR. But how can you actually use this data to gain insights to improve your practice? That's where data extraction comes in.
At Calysta EMR, we know the challenges of sifting through mounds of data to find those valuable nuggets of insight. But it doesn't have to be so hard. With the right techniques, you can tap into your EHR as a goldmine of knowledge to guide better clinical and business decisions.
In this post, we'll explore simple ways you can extract data from your EHR and start leveraging it effectively.
Electronic Medical Records (EMRs) refer to the digital version of patient medical information that is maintained by a healthcare provider or facility.
EMRs contain the standard medical data gathered in a provider's office, such as the patient's medical history, examination notes, diagnoses, medications, vital signs, immunizations, radiology reports and laboratory data. The EMR is used by healthcare professionals within a provider organization and is the legal record of a patient's care.
By transitioning from paper to electronic records, EMRs aim to improve overall quality of care, increase coordination between healthcare providers, reduce medical errors, improve efficiency and reduce costs in the healthcare system.
EMR data refers to all of the information contained within a patient's electronic medical record. This includes structured data fields for demographics like name, date of birth, address, phone number and insurance details. It also includes medical data such as:
EMR data provides a comprehensive view of a patient's health and healthcare longitudinally. This data can be used by providers for clinical care and by researchers/analysts to derive insights.
Many types of meaningful data can be extracted from patient EMRs. Some are listed in the table below:
Type of Data | Examples |
Demographics | age, gender, race, ethnicity, marital status, language, employment, etc. |
Vital Signs | blood pressure, temperature, pulse, respiratory rate, height, weight, BMI, etc. |
Diagnoses | medical conditions, mental health diagnoses, injuries, etc. |
Lab Results | cholesterol levels, blood glucose, liver function tests, cultures, etc. |
Medications | names, dosages, frequencies, dates started/stopped |
Medical History | family history, surgical history, health risks like smoking, allergies |
Genomics | family history, genetic test results |
Imaging | X-rays, CT scans, MRI results and images |
Billing Codes | CPT, ICD-10 diagnosis codes, cost and insurance data |
Provider Notes | summaries of visits, symptoms, advice given |
Care Plans | diet, exercise, medications to manage conditions |
First, clarify what you want to learn from your data. Are you looking to identify gaps in care? Improve patient satisfaction? Reduce inefficiencies?
Understanding your goals guides what data you'll need to extract. Maybe you want to analyze patient wait times or how treatment plans impact outcomes over time. Defining these questions upfront provides direction.
Next, determine what specific data fields relate to your goals. These might include things like:
Think broadly about what data elements could provide insights. You can then target extraction specifically on these high-value data points.
Many EHRs provide built-in reporting tools to export data. For example, Calysta EMR offers one-click reporting features to easily export datasets into formats like CSV and Excel for further analysis. This can be a simple way to access and manipulate your data offline.
Here are some other tools that are used to extract data:
If you're technically inclined, use application programming interfaces (APIs) to systematically and programmatically pull data from your EHR. Tools like Python scripts allow automating extraction for large datasets with custom parameters.
When analyzing extracted EHR data, carefully consider how to aggregate it meaningfully. Group patients by age range, gender, location or other attributes that may reveal trends. Look at treatments and outcomes by department, provider or time periods. Thoughtful segmentation exposes insights.
Lastly, be sure to de-identify sensitive patient information and securely store extracted data to maintain privacy and meet regulations. Ethics come first
Tapping your EHR data doesn't need to be painful. With Calysta EMR, you can easily access and analyze the information to gain insights that fuel practice growth and better patient care. Let us help you maximize your most valuable asset - your data.