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HSMP 410 Health Informatics

Published : 30-Aug,2021  |  Views : 10


What problems or issues limit health informaticians' abilities to evaluate health information infrastructures; why? Support your claims with evidence and/or examples.


Healthcare information systems (HISs) have made tremendous and astonishing advances in the medical technology and treatment procedures with strong impact on the health information exchange. Despite of the contributions made by HIS in the healthcare organization, the adoption is low and healthcare professionals face issues while using health information system. One of the reasons that strain health informaticians' abilities to use HIS is lack of awareness among the healthcare personnel in understanding the potentials of this health system (Fitterer et al., 2010).

Physicians find it much longer to use the new computer system for data entry instead they are conformable with pen and paper. Healthcare personnel spend around 80 hours per week; there is no extra time for the data entry to be done online. They find it difficult to use HIS as it pose severe limitations on their ability to make clinical judgments. The system is unable to recognize slight misspelled words and in Los Angeles, United Stated, about $34 million is spent for the development and deployment of physician order entry system for labs, medications and procedures. Health informaticians face a flood of excessive questions, electronic reminders and alerts associated with HIS. As a result, they are burdened with extra load of work and as a result, physicians are reluctant to use such a system that takes more time for the task completion (Smelcer, Miller-Jacobs & Kantrovich, 2009).

Electronic Health Records (EHRs) often take long time and makes it difficult for the health informaticians to work quickly that often result in less productivity. They greatly face usability problems while working with EHRs as it has long range of functionality due to its structural navigation. In an article published by The Information Week, it reported that one EHR takes about 44% of the doctors’ time. A small-scale study conducted in Pennsylvania ER found that the physicians have to spend more time in inputting data as compared to taking care of patients. According to the Statistics, doctors spend 28% of time in patient care, 12% in reviewing test records and results and 44% in entering data in EHRs (Readers Write: Healthcare IT vs. Corporate IT | HIStalk, 2017).

Emergency departments spend more time in entering data in EHRs rather than direct patient care or any other activity. The factors like typing skills, mainframe responsiveness, interruptions, extent of training and opportunity for delegation of tasks are some of the environmental attributes that influence data time entry and affect productivity and hospital revenue (Freeze et al., 2012). In addition, medical privacy is also an issue associated with data loss in EHR due to cyber hacks or natural disaster used by health informaticians (Kawamoto et al., 2009).

EHRs also produce difficult to read and disjointed records for the physicians. It is difficult for them to grasp the essential facts in EHRs that can become voluminous and difficult to navigate for them especially during handovers. The point and click templates become difficult for the physicians and make it dysfunctional software creating a disjointed narrative flow (Paré et al., 2014). The time for data entry takes away lot of time from seeing more patients and is a waste of resources. Although, the software have immense enhanced patient care and safety in health information exchange, there is need for a defensible and good logical records that is difficult to produce.


Fitterer, R., Mettler, T., Rohner, P., & Winter, R. (2010). Taxonomy for multi-perspective assessment of the value of health information systems. International Journal of Healthcare Technology and Management, 12(1), 45-61.

Freeze, R. D., Vinze, A., Santanam, R., & Furukawa, M. (2012, January). IT Adoption: HealthCare Metrics Tracking. In System Science (HICSS), 2012 45th Hawaii International Conference on (pp. 2900-2909). IEEE.

Kawamoto, K., Lobach, D. F., Willard, H. F., & Ginsburg, G. S. (2009). A national clinical decision support infrastructure to enable the widespread and consistent practice of genomic and personalized medicine. BMC medical informatics and decision making, 9(1), 17.

Paré, G., Raymond, L., de Guinea, A. O., Poba-Nzaou, P., Trudel, M. C., Marsan, J., & Micheneau, T. (2014). Barriers to organizational adoption of EMR systems in family physician practices: a mixed-methods study in Canada. International journal of medical informatics, 83(8), 548-558.

Readers Write: Healthcare IT vs. Corporate IT | HIStalk. (2017). Retrieved 22 November 2017, from

Smelcer, J. B., Miller-Jacobs, H., & Kantrovich, L. (2009). Usability of electronic medical records. Journal of usability studies, 4(2), 70-84.

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