EHR: Enhancing Clinicians-Patients Bond - Report Sample

Introduction

The case studies series aid physicians to put practice to maintain real memories of their significant decision to embrace the Electronic Health Records (EHR) in their career practice. The electronic version of patients' medical history contains vital administrative data for certain providers like the immunizations, medications, and demographics. Despite the EHR support to care-related activities, it holds a high perspective in thickening patients and clinicians' bonds. The technical and operational details involved in using the EHR have the original purpose of improving the medical practice. It advances with the new phase of technological improvement, achieving a greater goal in use, and easing the operation of things in health care facilities (Jha et al., 2009).

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Medical Department Part

The intriguing impacts and gradual transformation that the EHR has resulted in are inevitable but rather becoming more of a medical department part and parcel as they learn it on neutral grounds to perfect their careers. This piece of technological investment has equally held its setbacks as the inventors pushed their hope with a better vision to bring improved quality among people in the healthcare facilities. Adopting the new EHR system requires a formal agreement among the staff members to vouch for its operation as it creates opportunities by instilling a unique perspective of things in their daily medical routine. The general purpose of this advancement involves limiting the common errors in everyday medical practice as they regain the accuracy and clarity of the medical records.

The ISO technical committee steers the standards process to govern the operation of EHR as it clearly defines the data types that can be adopted for future use. The Mansion Street case study has implanted numerous standards to bring change, including promoting and publishing formal requirement specifications and communicating electronic health record (DesRoches et al., 2008). The health data involve steps linked to the environment and social information critical to a patient's life. The components are assembled and projected to use once a patient interfaces with the health system. The healthcare facilities' data are classified to various levels: restricted, public, confidential, and internal. Equally, the EHR carries various types of data as the demographics, medications, diagnoses and laboratory data as it captures health information which are utilized to reach verdicts are various levels of patients' wellness. Data centered measures reign the public health interoperability landscape as it backs up numerous approaches that place a huge burden on public servants limiting their technical capabilities. Systems prefer diverse coding and sematic standards that replace the known retention of clinical meaning a more series of challenging outcomes; thus, the clinical documentary community ought to take similar care.

Data Modeling Technique

The data modeling technique narrates and organizes a business process as one can create a description by analyzing and clarifying data requirements and how they matter in a business undertaking. Data modeling aid to design conceptual and logical levels as the structures define relational tables, foreign keys, and stored measures (DesRoches et al., 2008). It pulls out a clear picture of base data that database developers use to develop a physical database. The data modeling process is associated with improved data quality benefits, greater performance, higher application quality, entity intelligence, and lower development and maintenance costs. The data is store in data dictionaries that contain metadata, which carries database information and the necessary chain of personnel cleared to access it where it is stored physically. The information describing the contents and database structure can be used to manipulate the database.

Data architecture comprises rules, policies, and models that guide the collection of data, storage, arrangement, and integration to be used in the data systems as data form the pillars of an organization architecture (Blumenthal & Tavenner, 2010). In Mansion Street, the physicians use easily accessible laptops to enter information into after a patient visits as thy equally fax other records to primary care hospitals. The systems verify the coding documentation in cases of reimbursement claims. Data quality measures the condition in which the data has been stored based on accuracy, consistency, and reliability. When data measures are carried out, the organizations involved can easily detect errors that could have been made and ensure they are well corrected. Data quality management is key to every organization, thus ensuring the system's timely governance and establishing a certain level of consistency. Poor data carries some bad impacts on the hospital programs as it causes numerous errors, including operational snafus and inaccurate analytics.

Conclusion

Consistency and design are critical in the health care departments. They make the world a better place for the value placed on learnability and usability, having similar elements looking and functioning predictably and consistently. Most people working in various state departments get the advantage to transfer knowledge on new contexts as they learn new plans and approaches without any pain being inflicted on them (Blumenthal & Tavenner, 2010). Consistency is majorly associated with UX design, a social system that helps reduce learning time for any measures or programs issued for study as a user familiarizes through experience that they undergo. Like any other organization, the health facilities have stretched their ability to maintain integration technology in place for database links and numerous web services, keeping their information safe and well updated. The healthcare facilities have further ensured the elimination of misfortunes on reading bad technical guides without context as they provide irrelevant information leading to frustration and confusion. This has been achieved by laying the necessary documentation strategies by putting the EHR's improved technological measures.

References

Blumenthal, D., & Tavenner, M. (2010). The “meaningful use” regulation for electronic health records. New England Journal of Medicine, 363(6), 501-504.

DesRoches, C. M., Campbell, E. G., Rao, S. R., Donelan, K., Ferris, T. G., Jha, A Blumenthal, D. (2008). Electronic health records in ambulatory care—a national survey of physicians. New England Journal of Medicine, 359(1), 50-60.

Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Rao, S. R., Ferris, T. G., ... & Blumenthal, D. (2009). Use of electronic health records in US hospitals. New England Journal of Medicine, 360(16), 1628-1638.