Description
For this assignment, select one clinical practice issue that involves a specific medication. Using a Computerized Provider Order Entry (CPOE) system, design a Clinical Decision Support System (CDSS) that would be embedded in the EHR at your site of practice. Your CDSS must connect with CPOE to include a medication. You must link these two applications within the design.
General Guidelines:
Use the following information to ensure successful completion of the assignment:
- This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
- Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
- Use primary sources published within the last 5 years. Provide citations and references for all sources used.
- You are required to submit this assignment to LopesWrite. Refer to the directions in the Student Success Center.
Directions:
Write a 1,000-1,250 word paper that provides the following:
- Specific details of the clinical issue involving a specific medication
- The rationale behind your design development.
- A description of how this CDSS will be implemented and adopted by fellow clinicians.
- An assessment of challenges and proposed solutions which might apply to this scenario (e.g., information loss, communication breakdown).
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Running Head: CLINICAL DECISION SUPPORT SYSTEM
Clinical Decision Support System for Diabetes
Student’s Name
Institution
Date
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CLINICAL DECISION SUPPORT SYSTEM
2
Introduction to the Clinical Issue
A clinical decision support system (CDSS) is a technology that is used in health care
settings to make decisions (Alther & Reddy, 2015). A CDSS aims at utilizing management of
knowledge to acquire advice on the basis of numerous factors of data that is patient related. The
system provides assistance during care, integrates workflows and recommends on the care plan.
In order to examine the medical history of a patient in connection to relevant research, data
mining can be conducted when using CDSS. Such analysis helps to foresee potential events like
flag symptoms and drug interactions. CDSS helps improve health care by offering preventive
care reminders, by giving alerts on drug interactions that are potentially dangerous, and by giving
clinicians alerts on redundant testing scheduled for a patient etc. As such, CDSS increase
efficiency and lower costs. Electronic health records (EHRs) and CDSS are integrated to utilize
data sets that are already existing and to streamline workflows. CDSS can be utilized to boost
health care deliveries to patients with diabetes and other long-term conditions. Diabetes is a
dangerous chronic condition that weakens the ability of the body to process blood sugar. The
first step in managing diabetes is the diagnosis. Clinical decision support system (CDSS) can be
used in the diagnosis of diabetes to improve the detection and to lower the opportunity for
complications. CDSS can help improve the ongoing management of diabetes patients who need
monitoring and modification of medication (Jeffery et al., 2013). The objective of this paper is to
design a CDSS that can be integrated with EHR at a health care center.
Rationale Behind the Design Development
Diabetes is considered among the most dangerous chronic diseases and an economic
burden due to the direct and indirect costs that incur during its management. The treatment of
CLINICAL DECISION SUPPORT SYSTEM
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diabetes varies from one patient to another because there are different types of diabetes, for...
