<h3>BACKGROUND</h3> Real world data (RWD) can provide valuable insights to complement evidence from randomized control trials (RCTs). While the proliferation of electronic health records (EHRs) has led to an abundance of RWD, much of the valuable information from these sources are unstructured and unanalyzable. Emerging technologies promise to address this limitation using natural language processing and other computing techniques. Many have not been validated, raising questions about their suitability for research. We performed a preliminary validation study of one such solution, the Apollo Electronic Data Capture (EDC) system by Ensho Health, in a community cardiology setting. <h3>METHODS AND RESULTS</h3> The Apollo EDC system was used to extract the most recent estimated LVEF and heart failure medications [ace inhibitors (ACEi), angiotensin receptor-neprilysin inhibitors (ARNi), angiotensin II receptor blockers (ARB), beta blockers (BB) and mineralocorticoid receptor antagonists (MRA)] from the de-identified electronic health records of 25 consecutive patients that visited an outpatient cardiology practice in November of 2020 with ICD-9 codes for congestive heart failure. The extracts included the name and date of the originating document, the method for estimating LVEF, the name and daily dose of heart failure medications, and whether the medications were titrated, discontinued or held at last mention. Apollo extracted LVEF measurements in 100% of patients (25/25), BB data for 100% of patients (25/25), ACEi data for 60% of patients (15/25), MRA data for 60% of patients (15/25), ARB data for 28% of patients (7/25) and ARNi data for 25% of patients (6/25). We compared the data extracted from Apollo to the information contained in the source EHR to assess the fidelity of the extraction. The accuracy of LVEF and LVEF estimation methods was 100% (25/25 for both value and method). Prescribed medications for heart failure were reported correctly 98.5% (67/68) of the time. The lone error involved a BB that was changed during a hospitalization. We did not find evidence that an ACEi, ARNi, ARB, BB or MRA was prescribed in the 57 instances Apollo did not report one. <h3>CONCLUSION</h3> The Apollo EDC system by Ensho Health extracted complex data from the EHR of a cardiology practice with high fidelity. As such, Apollo EDC is a promising tool to facilitate real world cardiology studies. Its ability to extract challenging data elements like LVEF and current medications from EHRs could allow researchers to ask more complex questions of RWD. Further validation across other data fields, EMR systems and therapeutic areas are warranted.