PowerPoint Presentation on Acute Coronary Syndrome Core Measures

This presentation provides an overview of Acute Coronary Syndrome (ACS) core measures, focusing on evidence-based practice and expected outcomes. It begins by explaining ACS core measures, including the importance of timely aspirin administration, ACEI or ARB prescriptions for left ventricular systolic dysfunction, smoking cessation counseling, beta-blocker prescriptions, and statin prescriptions upon discharge. The presentation then discusses the role of Clinical Information Systems (CIS) in managing ACS, highlighting the steps involved in data collection, storage, extraction, transmission, presentation, analysis, and interpretation. It introduces the Acute Cardiac Ischemia Time-Insensitive Predictive Instrument Information System (ACI-TIPI-IS) as a tool for real-time decision support and performance improvement. Finally, the presentation outlines expected outcomes such as improved patient safety, satisfaction, and healthcare quality, supported by peer-reviewed nursing journal articles. The presentation emphasizes the importance of risk stratification and prognostic information in managing ACS patients effectively.

ACUTE CORONARY
SYNDROME
Name of the Student
Name of the University
Author Notes

Acute Coronary Syndrome Core Measures
• Decreased blood flow to coronary arteries
• Inability of heart muscles to function.
• Joint Commission core measures set include –
1. AMI-1 : To be given Aspirin on arrival
2. AMI-2 : Aspirin to be prescribed on discharge
3. AMI-3 : ACEI or ARB for left ventricular systolic dysfunction

Acute Coronary Syndrome Core Measures
continued…………
4. AMI-4 : Nonaccountability measure – Counselling or advice on
cessation of adult smoking
5. AMI-5 : Prescribing of beta blocker at the time of discharge
6. AMI-7 : Fibrinolysis median time
7. AMI-7a : Receiving fibrinolytic therapy 30 minutes on arrival to hospital
8. AMI-8 : PCI median time

Acute Coronary Syndrome Core Measures
continued…………
9. AMI-8a : PCI received following 90 minutes of arrival to hospitals
10. AMI-9 : Mortality of the inpatients (retired effective 12/31/2010)
11. AMI-10 : Prescription of statins during discharge
(Jointcommission.org, 2018)

Clinical Information System (CIS)
Steps in the clinical information system:
Data collection gathering, capture, input and entry
Data storage accumulation and availability
Data extraction retrieval and output
Data transmission submission and retrieval
Data presentation display and view
Data analysis and interpretation use

CIS data input for acute coronary
syndrome
Acute cardiac ischemia time-insensitive predictive instrument
information system (ACI-TIPI-IS)
• Uses numerous information technology applications
• Real time decision support
• Alerting
• Retrospective feedback for performance improvement
• For patients in emergency departments with ACS (Bagchi et al., 2012)

TIPI-IS: Web based relational database
system
• Compiles information about emergency department patients.
• Compiles information from existing operational systems.
• Collects electrocardiogram information for emergency department
patients.
• Supports aspects of patient safety.
• Calculates probability of ACS in patient (0-100%) (Ncbi.nlm.nih.gov,
2018).

Collected data elements
include:
• Specific alerts
• Demographic and
clinical data
(Kawamoto et al.,
2012)
• Research analysis
• ICU interventions,
complications and
hospital stay
• Extraction of
survival data (Clarke
et al., 2013)

Outcomes
• Provides prognostic information
• Risk stratifying patients with ACS (Parhar et al., 2018)
• Patient safety
• Patient satisfaction
• Healthcare quality (Karimi, Poo & Tan, 2015)

Reference List
• Bagchi, S., Ferrucci, D. A., Levas, A. T., & Mueller, E. T. (2012). U.S. Patent Application No. 13/077,480.
• Clarke, M. A., Belden, J. L., Koopman, R. J., Steege, L. M., Moore, J. L., Canfield, S. M., & Kim, M. S.
(2013). Information needs and information‐seeking behaviour analysis of primary care physicians
and nurses: a literature review. Health Information & Libraries Journal, 30(3), 178-190.
• Jointcommission.org. (2018). Acute Myocardial Infarction Core Measure Set. Jointcommission.org. Retrieved
16 February 2018, from https://www.jointcommission.org/assets/1/6/Acute%20Myocardial
%20Infarction.pdf
• Karimi, F., Poo, D. C., & Tan, Y. M. (2015). Clinical information systems end user satisfaction: The
expectations and needs congruencies effects. Journal of biomedical informatics, 53, 342-354.
• Kawamoto, K., Jacobs, J., Welch, B. M., Huser, V., Paterno, M. D., Del Fiol, G., ... & Jenders, R. A. (2012).
Clinical information system services and capabilities desired for scalable, standards-based, service-
oriented decision support: consensus assessment of the Health Level 7 clinical decision support Work Group.
In AMIA Annual Symposium Proceedings (Vol. 2012, p. 446). American Medical Informatics Association.
• Ncbi.nlm.nih.gov. (2018). Using Specialized Information Technology to Reduce Errors in Emergency Cardiac
Care. Ncbi.nlm.nih.gov. Retrieved 16 February 2018, from
https://www.ncbi.nlm.nih.gov/books/NBK20561/
• Parhar, K., Millar, V., Zochios, V., Bruton, E., Jaworksi, C., West, N., & Vuylsteke, A. (2018). Clinical
outcomes of patients undergoing primary percutaneous coronary intervention for acute myocardial