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Clinical Decision Support System Analysis

1364 Words6 Pages

Clinical decision support system (CDSS)is a system that assist in compiling patient -specific information

with a list of possible prognosis, treatments, drug interactions , as well as reminders for the patient’s

care all while giving the clinicians a database to input new information in knowledge-base for the

specific patient. CDS has a number of important benefits such as Increased quality of care and enhanced

health outcomes, Avoidance of errors and adverse events, Improved efficiency, cost-benefit, and

provider and patient satisfaction.

The summary for first study

antibiotic resistance is now a major issue confronting healthcare providers and their patients because if

we do not use antibiotics carefully, they will lose their efficacy. …show more content…

The antimicrobial stewardship team not allow to focus on

patients who would benefit most from the interventions.

Detroit Medical Center’s replaces this labor intensive and inexact method by using an official clinical

decision support system(CDSS) which called the TheraDoc.

TheraDoc have many features play an important role in improving outcomes for patients with an

infectious diseases process.With the implementation of TheraDoc, patients who are not on first-line

therapies can be easily located because it gives alerts and helped to choose the more appropriate

antibiotic for each disease. Another advantage of TheraDoc is any new medical information related to

patient status can be communicated to any practitioner in real time. When deciding where to utilize

real-time paging alerts, the DMC has targeted multiple disease states with two main characteristics: 1)

implementation of rapid, appropriate empiric therapy has been proven in the literature to save lives and

2) there is a high likelihood that at the time of the culture result, the patient is not receiving …show more content…

An estimated sample size was calculated to be 86 patients undergoing head CT for each

Group to prove an 18% increase in clinician adherence rate between the pre and post-intervention

groups.

PBM alert was set to fire if any selected complaint appropriate to the condition

The BPM give the user different option : cancel, complete head injury section or low risk head injury .

Cancel could be used at any time to ignore the BPA and search the chart for more details but unless another action was taken, every time the user reopened the chart the BPA would again fire. If the user

felt the patient did not fit the parameters for the study then he or she could choose the low risk

head injury unlikely radio button and the BPA disappears permanently from that particular record. If the

user chose complete head injury section he or she would be taken to a new section of the chart where a

series of questions are asked and using branching logic or what in Epic calls document flow-sheet

cascades , which depending on the answers to the questions takes the user through until a natural

stopping point. If the BPA did not fire but the clinician felt the child fit criteria for the study then it

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