According to Professor Jeffrey Curtis, a professor of medicine, applications on tablet devices can be used to collect quantitative information to help diagnose and manage patients ( SNHU COCE Assistive Technology, 2017). Curtis further asserts that this technology offers a revolutionary approach to the management of patients in clinics. The information such as blood pressure, hemoglobin, temperature and patient biodata can be input and saved within these devices. It is possible to track how people are doing in the clinic setting, like checking how their arthritis conditions are, their levels of fatigue, and the medications they are taking. Tablets are just as powerful as computers and, on the upside, they are portable. Information can be captured on tablets using a stylus or a digital pen, much like whatever people do on paper charts.Tablet PCs have integrated dictation capability with software that allow voice recognition, which transcribes directly into the patient records ("EHR Hardware Basics", 2019). This type of automation increases efficiency in patient health records management.
Since a tablet can employ computerized technology, it is particularly useful because of the proliferation of techniques and technology of automated mechanisms of data capture. It can incorporate other automated techniques of data capture such Optical Character Reader, Intelligent Character Recognition, and Optical Mark Readers. In Optical Character Recognition, for example, the machine printed documents such as image files, PDF files, or scanned paper documents from patient medical records can be converted into searchable or/and editable data. Optical Mark Readers, on the other hand, are employed in the capture of marked data from documents like forms and surveys that contain patients’ medical records ( Gulipalli, 2019). They offer quick ways to capture information through boxes that are checked manually on documents. Once the information is captured it can be input into spreadsheets to permit recording before analysis and subsequent decision making.
Delegate your assignment to our experts and they will do the rest.
References
EHR Hardware Basics. (2019). Retrieved 28 November 2019, from https://www.aafp.org/practice-management/health-it/product/hardware.html
Gulipalli, G. (2019). 10 Effective Ways to Data Capture - Invensis Technologies. Retrieved 28 November 2019, from https://www.invensis.net/blog/data-processing/10-effective-ways-to-data capture/
Payne, T. H. (2016). The electronic health record as a catalyst for quality improvement in patient care. Heart , 102 (22), 1782-1787.
SNHU COCE Assistive Technology. (2017 February 22). HIM-400: New Ways to Capture Patient Data Helps Physicians Improve Care CC. [Video file]. Retrieved from: https://www.youtube.com/watch?v=Ly1MlWaOQTU
