Automation is a recent development of information systems in modern health care provision. Evidence-based Practice (EBP) is a replacement for traditional medicine by authority; it applies a more or less discriminating scientific approach that distances itself from the use of disorderly and unendorsed information. EBP teaches primary care professionals to evaluate research evidence before they can use it in clinical activities. For EBP systems, automation entails the compilation of primary research results in a systematic way for easier accessibility by the clinicians involved in the decision-making process. These decisions may include the procedures to be taken from when a patient is admitted to the hospital to his or her release depending on he or she is suffering. For instance, in determining whether patients with chronic or contagious diseases should be admitted in the same ward as delivering mothers who are not suffering from any disease. The precautions of such a move can be easily accessed through automated EBP system and may help in spreading the diseases to newborn babies with weak immune systems. Automation allows for developments of rich databases that enhance clinical knowledge by building and bringing forth clinical expertise for different areas by highlighting verifiable facts about disease mechanisms. Through automation EBP, systems can formalize principles and processes that perfect the art of best clinicians. Automation in EBP avoids time lag before making a decision between effective therapies and infective ones; this means that care is provided on or within a good time for the patients (Rodrigues, 1344-1351). A good time in this situation refers to the moment at which if the patient receives the medical care he or she has high chances of surviving. For instance for cancer patients, when the disease is screened at an early stage the patients can undergo therapy the will help in his or her treatment as opposed to late screening when the disease is fully matured.
The design of a healthcare information system (IS/IT) is the backbone for an effective EBP, and it can lead to its success of failure. The design in this scenario refers to how well, good or effective the IS of a health care facility works. One of the EBP guidelines is to be able to provide to the clinicians fast and easy access to care model developed and validated by expert nursing researchers in the nursing field. Information systems are used for capturing, transforming, and maintaining data from these nursing research experts, which is then processed into knowledge and made available to care providers. A weak information system design cannot be able to handle the complexity of millions of research data and as such, clinician will be limited to information access. The knowledge from other experts in the field provided by information system’s database would be of great help rather than rely on personal experience alone (Titler, n.p). Reliance on personal knowledge and expertise alone and not ERP guidelines may not help a patient with a heart failure condition who has been discharged by a physician based on the previous handling of former heart failure patients. The two patients may be living in an entirely different environment and as such, the doctor’s experienced assumption may result in the collapse of the patient rather than leading to his recovery.
Rodrigues, Roberto J. “Information systems: the key to evidence-based health practice.” Bulletin of the World Health Organization 78.11 (2000): 1344-1351.
Titler, Marita. “The Evidence For Evidence-Based Practice Implementation”. Agency for Healthcare Research and Quality (US) (2008): n. pag. Web. 19 Apr. 2016.