Implementation of Electronic Health Record

The field of healthcare is continually changing with the emergence of clinical intelligence. Clinical intelligence is revolutionizing the nursing practice, operational efficiencies and driving the clinical outcomes. Such intelligence is essential to the health care organizations in realizing the worth of the upsurging amount of data that is being generated through clinical information systems and the electronic health records. The paper, therefore, elaborates on different electronic health records and identifying the one best suited for hospital usage.

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There are numerous ways of translating data into actionable intelligence. In itself, actionable intelligence is a process that encompasses numerous stages (Gagnon et al., 2016). First, reinforcement data is collected and organized. The reinforcement data is then converted into the information through the use of customized reports. An analysis of the information is done thereby converting it into knowledge. The knowledge obtained is then used to predict what/why will it happen. The knowledge obtained is referred to as intelligence. Based on the intelligence, an individual can identify and make possible decisions and eventually take appropriate measures (Batra & Sachdeva, 2016).

Organizations make decisions about the training programs through the use of actionable intelligence thereby helping increase the organization's effectiveness through behavior change and increased knowledge retention (Meyerhoefer et al., 2016). The collection of data in itself is not the creation of actionable intelligence, but the analysis of the reinforced data and the making of predictions on what and why something will happen is creating intelligence.

There are different kinds of electronic health records that can be used in the medical profession. Almost half of the medical practices in the Republic have embraced the electronic health records systems. The choice of the EHR vendor is the most difficult, important and confusing decisions which physicians encounter particularly because of the fragmented HER market. The knowledge of the choices which other able physicians have made is paramount and can add value in the decision-making process regarding the EHR systems. The various forms of EHR system include eClinical Works, Allscripts and Epic Systems. The research by Schumaker & Reganti (2016), shows that eClinical Works controls a market share of 11%, Allscripts has a market share of 10% and the Epic Systems has a market share of 8.1%. The research goes further to indicate that eClinical, Allscripts and Epic Systems are the best-suited EHR systems for hospitals.

Allscripts being a publicly traded company that provides EHR systems also does provide the solutions for the patients care coordination and engagement as well as the financial and analytics technology (Meyerhoefer et al., 2016). For Epic Systems the focus is in large healthcare organizations. The company does offer an incorporated suite of the healthcare software placed on Cache database. Epic Systems support functions are related to the patient upkeep, registration, scheduling and the emergency personnel, nurses clinical systems, specialists and other benefactors of health care (Gagnon et al., 2016). As for the eClinic, they are put their patient and employees as the priority.

The best-suited EHR for the hospital is the Epic Systems (Batra & Sachdeva, 2016). The main reason is that it does incorporate all the member of the medical profession ranging from doctors, nurses and the health care providers. EHR systems are of utmost importance in the hospital setting.

References

Batra, S., & Sachdeva, S. (2016). Organizing standardized electronic healthcare records data for mining. Health Policy And Technology, 5226-242.

Gagnon, M., Simonyan, D., Ghandour, E. K., Godin, G., Labrecque, M., Ouimet, M., & Rousseau, M. (2016). Factors influencing electronic health record adoption by physicians: A multilevel analysis. International Journal Of Information Management, 36258-270.

Meyerhoefer, C. D., Deily, M. E., Sherer, S. A., Chou, S., Peng, L., Sheinberg, M., & Levick, D. (2016). The Consequences of Electronic Health Record Adoption for Physician Productivity and Birth Outcomes. Industrial & Labor Relations Review, 69(4), 860-889.

Schumaker, R. P., & Reganti, K. P. (2016). Implementation of Electronic Health Record (EHR) System in the Healthcare Industry. GlobalData Ltd.