Instructions: Please review the following scenario and answer each question in 150-200 words using one to two sources to support your ideas.
A home health nurse, Stephanie, visits an older man, Mr. Turner, who lives with his daughter. Before the visit, Stephanie reviewed Mr. Turner’s electronic health record (EHR) and the clinical decision support tools. He has a pacemaker to help with his congestive heart failure. A module in his home sends information from his device to the cardiologist to monitor. During this visit, Stephanie will be assisting Mr. Turner and his daughter in sending a report to the cardiologist via the module connected to the internet. Mr. Turner also has type II diabetes using an insulin pump that is linked to an app on his phone. Due to the neuropathy of his feet, Mr. Turner’s gait is unstable, and he uses a walker to ambulate. He wears a senior medical alert button in case he should fall. Mr. Turner is also scheduled for a telehealth visit with his doctor during Stephanie’s visit.
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Stephanie arrives at the home for the visit. As she started her assessment of Mr. Turner, the insulin pump was beeping, and there was an error message. Mr. Turner states that it has not been working for the last couple of days, and his daughter will try to fix it. He also tells Stephanie that he has stopped wearing the medical alert button because it kept beeping, and he could not get it to stop.
| Clinical Decision Support Tools Describe two examples of clinical decision support tools (CDST) for Mr. Turner. Evaluate how decision support tools impact clinical judgment and help provide safe patient care. |
| Clinical decision support tools offer timely information, typically at the point of care, to assist in making patient care decisions. Clinical decision support tools and systems help clinical teams by taking over routine tasks, warning of potential problems, or providing suggestions for the clinical team and patient to consider (Sutton et al., 2020). Mr. Turner benefits from clinical decision support tools such as a pacemaker for congestive heart failure and an insulin pump for type 2 diabetes to enhance care outcomes. Utilizing CDST is a common strategy to minimize medication errors. It is commonly reported that drug-drug interactions are frequent and avoidable, affecting as many as 65% of hospitalized patients who may be exposed to risky combinations. Computerized Physician Order Entry (CPOE) systems now incorporate drug safety software with features to prevent dosing errors, therapy duplication, and drug interactions (Sutton et al., 2020). Alerts generated by these systems are widely used for decision support. Studies have identified significant variability in the display of alerts for drug-drug interactions, their prioritization, and the algorithms employed to detect such interactions. Systems frequently display a range of irrelevant alerts, and there is no established protocol for effectively determining how to implement alerts for providers. |
| Performance Metrics Explain how CDST reports and monitors performance metrics on patient outcomes. Discuss two to three examples of healthcare performance metrics. |
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Clinical decision support tools assist in analyzing extensive digital data to recommend treatment options, notify healthcare providers of relevant information, and identify potential issues like harmful drug interactions. Frequently, CDST instruments are included in electronic health records. Personal Health Records and similar patient monitoring applications, such as CDST, can gather data from health devices and wearables to generate valuable insights for healthcare providers (Sutton et al., 2020). An exemplary illustration can be found in the field of diabetes care. This system involves a wearable glucose monitor that sends data to a mobile device. Providers can effectively monitor glucose trends in patients between visits and communicate with them via MyChart for follow-up or urgent recommendations. The preliminary investigation showed enhancements in provider workflow, patient communication, and overall quality of care. Several medical specialties are implementing comparable systems for monitoring that integrate PHR/EHR, wearable technologies, and CDSS. These fields include cardiology (heart failure) and hypertension, among others. Healthcare performance metrics are clearly defined measures used to monitor, analyze, improve,
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