wk 7
Running head: Use of Health Information Technology To Improve Health Care Decision Making 1
Use of Health Information Technology To Improve Health Care Decision Making 2
Student Full Name : HCI 112 Electronic Health Records
Saudi Electronic Univesity
Professor :
Week 11
Term Paper Proposal
Use of Health Information Technology To Improve Health Care Decision Making In The Health Sector
1. Introduction
· Many countries invest a lot of money in the health sector with the expectation of quality health services but on the contrary, the situation remains worse.
· This paper is going to evaluate the use of health information technology to improve health care decision making in the health sector. The quality of health care services mainly depends on the quality, accuracy and integrity of the health information available (Smith, J. 2005).
2. Body
· In order to transform the health sector of any state in the world, there is need to adopt health information technology, for example the electronic record systems. This will enable efficiency in health care delivery. Also important is the medical decision support system that is a means of improving the health care quality, through the integration of data and knowledge management systems.
· Many at times the health information technology has failed to achieve the expected benefits of cost saving due to the erroneous systems that are wrongly designed or wrongly implemented. These errors are as a result of human error, where by data is incorrectly keyed or data is lost due to negligence and hence compromising the integrity of the information (Bates, D. 2005).
· The medical decision support system may result into errors because of software flaws. This is due to system performance issues, inadequate support rules or guidelines, misuse of the software by the developer, human error due to insufficient training and system interruptions by the employees. The decision support system may lead to errors of omission since there is no prompt to show the wrong information. The system commands what is supposed to be done; technically this is referred to as auto bias (Greilhuber, J., & Doležel, J. 2009).
· The health professionals should always make decisions on whether to use the decisions of the system or to override them, since one will be held accountable if something went wrong. The medical environment can cause tension at times and this can lead to data entry errors (Bierstock, S. 2005).
3. Conclusion
a. In conclusion medical decision support system of high quality standards can also misguide or give wrong decisions.
b. These systems are not recommended for every health facility or any medical scenario since they are erroneous and they need a lot of scrutiny before they are commanded to give a decision.
c. Medical systems are necessary in automation of the health care sector; however over-reliance on the system is harmful and dangerous. This is because faults in the system cause massive losses leading to even human deaths.
References
Bates, D. (2005). Computerized physician order entry and medication errors: Finding a balance. Journal Of Biomedical Informatics, 38(4), 259-261. http://dx.doi.org/10.1016/j.jbi.2005.05.003
Bierstock, S. (2005). Computerized Physician Order Entry Systems and Medication Errors. JAMA: The Journal Of The American Medical Association, 294(2), 178-179. http://dx.doi.org/10.1001/jama.294.2.178-b
Campbell, E., Sittig, D., Ash, J., Guappone, K., & Dykstra, R. (2007). In reply to: "e-Iatrogenesis: The most critical consequence of CPOE and other HIT". Journal Of The American Medical Informatics Association, 14(3), 389-389. http://dx.doi.org/10.1197/jamia.m2385
Cho, I., Park, H., Choi, Y., Hwang, M., & Bates, D. (2014). Understanding the Nature of Medication Errors in an ICU with a Computerized Physician Order Entry System. Plos ONE, 9(12), e114243. http://dx.doi.org/10.1371/journal.pone.0114243
Greilhuber, J., & Doležel, J. (2009). 2C or not 2C: a closer look at cell nuclei and their DNA content.Chromosoma, 118(3), 391-400. http://dx.doi.org/10.1007/s00412-009-0205-9
Kaushal, R., Shojania, K., & Bates, D. (2003). Effects of Computerized Physician Order Entry and Clinical Decision Support Systems on Medication Safety. Arch Intern Med, 163(12), 1409. http://dx.doi.org/10.1001/archinte.163.12.1409
Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors. (2005).Obstetrics & Gynecology, 105(6), 1479. http://dx.doi.org/10.1097/01.aog.0000165331.80917.b5
Session 2C: Patient Information. (2010). International Journal Of Pharmacy Practice, 18, 15-17. http://dx.doi.org/10.1111/j.2042-7174.2010.00015.x
Smith, J. (2005). Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors. The Journal Of Urology, 174(4), 1400-1401. http://dx.doi.org/10.1097/s0022-5347(01)68654-3