Systems Theory: GIGO

Systems and the Change Process: GIGO: (5 Pages)

 

      Question(s)/Issues Begin Addressed: Garbage in Garbage out what is it and why is it important to systems theory?

a.       William (2010) defines the concept of GIGO or “garbage in, garbage out” and defines it as, “processing system requires purposefully structured input data, subjected to scrupulous quality control, to produce useful results.

a.       of GIGO that are the gateway to trusted information from systems in healthcare

b.      Sukumar provides important insight on the importance of data put in and the impact it has on the output received by assessing three areas of quality data (2015).

a.       The lifecycle of data, issues due to errors or inaccurate data input, sources of the data, and the purpose of the collection of that data contribute to the quality of data provided.

                                                                                                  i.      When high quality data is put into a system you can expect quality output. When garbage is input then the output received will also be garbage.

                                                                                                ii.      Information is only as good as the person putting it in and the system delivering it.

c.       How do these systems get along with their users?

a.       One study shows only 55% of health care users like their current system and how is displays data and 76% feel like they are able to use or navigate their current system effectively (Grace et al, 2013).

                                                                                                  i.      IT systems are meant to compliment healthcare providers not become an obstacle.

                                                                                                ii.      When healthcare workers struggle to use their current systems in can result in GIGO.

d.      System vs human approach to care

a.       Systems have played a large role in healthcare and patient care over the past few years and it is growing constantly. This has led to many studies and articles that compare and contract technology-centered care versus the human-centered approach.

b.      GIGO is where systems and humans come together and when this effective occurs, it results in providing quality care to patients.

e.       Current Policy and initiatives in healthcare informatics

a.       Project Heathdesign promote policy changes and development when it comes to healthcare and technology.

b.      Center of Medicaid Services (CMS) and the Office of National Coordinator for Health IT (ONC) have focused their efforts on improving HIT tools and being advocates for health care workers to ensure patient and healthcare providers have voices when it comes to health policies related to information technology (Koliner & Brennan, 2013).

 

 

 


 

 

Resources:

Alotaibi, Y. K., & Federico, F. (2017). The impact of health information technology on patient

 safety. Saudi medical journal38(12), 1173–1180. doi:10.15537/smj.2017.12.20631

 

Bhavnani, S. P., Parakh, K., Atreja, A., Druz, R., Graham, G. N., Hayek, S. S., . . . Shah, B.

R. (2017). 2017 roadmap for innovation-ACC health policy statement on healthcare

transformation in the era of digital health, big data, and precision health: A report of the American college of cardiology task force on health policy statements and systems of care. Journal of the American College of Cardiology, 70(21), 2696-2718. Retrieved from: https://search-proquest-com.ezproxy.liberty.edu/docview/1969984750?pq-origsite=summon

 

Escobar-Rodríguez, T., Monge-Lozano, P., Romero-Alonso, M. M., & Bolívar-Raya, M. A.

(2012). Deploying Information Technology and Continuous Control Monitoring Systems in Hospitals to Prevent Medication Errors. Health Information Management Journal, 41(1), 17–25. https://doi.org/10.1177/183335831204100103

 

Grace, A., Mahony, C., O'Donoghue, J., Heffernan, T., Molony, D., & Carroll, T. (2013). Evaluating the effectiveness of clinical decision support systems: The case of         multimorbidity care. Journal of Decision Systems, 22(2), 97-108. Retrieved from:        https://search-proquest-com.ezproxy.liberty.edu/docview/1626711682?pq-

origsite=summon

 

KOLINER, S. & BRENNAN, P. F. (2013). Advancing Healthcare Information Technology

Through Policy. CIN: Computers, Informatics, Nursing, 31(5), 205–207. Retrieved

From: https://oce-ovid-com.ezproxy.liberty.edu/article/00024665-201305000-00001/HTML

 

William, M. (2010). Annals Of Emergency Medicine: Electronic Health Records: Promises

and Realities: Part III: Information Privacy and Accuracy: Zero and GIGO Won’t Do. Retrieved from: https://www-sciencedirect-com.ezproxy.liberty.edu/science/article/pii/S0196064410014162

 

Sukumar, S., Natarajan, R. and Ferrell, R. (2015), "Quality of Big Data in health

care", International Journal of Health Care Quality Assurance, Vol. 28 No. 6, pp. 621-634. https://doi-org.ezproxy.liberty.edu/10.1108/IJHCQA-07-2014-0080

 

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