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Module 10

HSA 6197

QuestionAnswer
Which of the following are key benefits of implementing Clinical Decision Support Systems (CDSS) in a healthcare organization? (Select all that apply) ✅ Reduces medical errors ✅ Streamlines low-complexity clinical tasks ✅ Enhances adherence to evidence-based guidelines
What is the primary purpose of implementing terminology standards (e.g., SNOMED CT, LOINC) in healthcare data systems? (Select all that apply) ✅ To ensure consistent data interpretation across systems
Which core function is shared by both knowledge-based and non-knowledge-based CDSS? (Select all that apply ✅ Provide intelligent, patient-specific clinical recommendations
What challenges must administrators address when implementing CDSS? (Select all that apply) ✅ Interoperability with EHR systems ✅ Legal and ethical concerns related to algorithm use ✅ Alert fatigue and workflow disruption ✅ Continuous model or knowledge base maintenance
Which CDSS implementation strategy best supports user acceptance and clinical effectiveness? (Select all that apply) ✅ Integrate into EHR workflow with clinician training and feedback loops
In the module's sepsis and surgical CDSS case study, which outcomes were observed? (Select all that apply) ✅Improved antibiotic administration times ✅Reduced sepsis-related mortality ✅High clinician trust in alerts after training
What is a likely consequence of failing to implement redundancy and backup protocols in healthcare data storage? (Select all that apply) ✅ Delays in accessing historical records during audits ✅ Increased vulnerability to data loss and prolonged system downtime
A hospital seeks to improve clinician access to historical lab results during urgent care episodes. Which of the following would support this goal? Select all that apply: ✅ Implement a clinical results viewer that links recent and historical records ✅ Eliminate duplicate lab entries across systems ✅ Develop a centralized data warehouse that consolidates lab and EHR data
Which legal or ethical risks must be managed during CDSS implementation? select all that apply: ✅ Legal ambiguity regarding liability for adverse events ✅ Automated treatment decisions without clinician input ✅ HIPAA compliance in data hndling ✅ Failure to disclose prdctive mdel limitations ✅ Inadequate documentation of override justifications
If patient data is stored unencrypted on portable devices, which risks of compliance issues may arise? (Select all that apply.) ✅Breach of patient confidentiality ✅HIPAA noncompliance penalties ✅Increased risk of theft or unauthorized access
Which administrative actions promote safe and effective use of machine learning based CDSS? (Select all that apply.) ✅Ensure transparency in prediction logic and thresholds ✅Update models based on recent clinical data ✅Validate model performance across patient subgroups ✅Monitor for potential algorithmic bias
Why is governance critical in CDSS implementation? (Select all that apply.) ✅It structures oversight of system, performance, maintenance, and ethical use
Which legal or ethical risks must be managed during CDSS implementation? (Select all that apply) ✅ Legal ambiguity regarding liablty for adverse events ✅ Automated treatment decisions without clinician input ✅ HIPAA compliance in data hndling ✅ Failure to disclose predictive model limitations ✅ Inadequate documentation of ovride jstifications
10. If patient data is stored unencrypted on portable devices, which risks of compliance issues may arise? (Select all that apply.)
Created by: JWoodhams90
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