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Module 10
HSA 6197
| Question | Answer |
|---|---|
| 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.) |