Electronic Health Record Essay

C. Electronic Health Record Storage
The use of clinical data for research is a widely anticipated benefit of the electronic health record (EHR). Clinical data stored in structured fields is relatively straightforward to retrieve and use; however, a large proportion of EHR data is “locked” in textual documents. EHR chart notes are typically stored in text files, which include the medical history, physical exam findings, lab reports, radiology reports, operative reports, and discharge summaries. These records contain valuable information about the patient, treatment, and clinical course. This “free text” data is much more difficult to access for secondary purposes. In order to use this data, we must be able to retrieve records accurately and reliably for a desired patient population, usually through the use of natural language processing (NLP). While NLP has been applied to EHR data for decades, the performance of these systems has been variable across the techniques used, as well as the clinical task.
The Health Record of people is stored electronically in the Cloud. The EHR is accessed by RFID tag provided to the individuals. The RFID tag is identified by the RFID reader which is placed at the entrance of the

Exceeding the sensor’s amplitude range will cause signal distortion throughout the entire operating frequency range of the sensor. In other words, mechanical shock loading on the sensor or large degrees of machine movement can overload the sensor’s response capability. Shaker screens used in materials processing are an example of such an application. The machine can generate high impacts compared to the "normal" working level, but an impact, a step, also causes excitation of the sensor resonance frequencies. The gain is then 10 to 20 dB