# data[].attributes.body
Securely shares patient data across different healthcare organizations.

Examples: eHealth Exchange and Carequality

HealthIT.gov. (n.d.). Health information technology. U.S. Department of Health and Human Services. Retrieved July 27, 2025, from https://www.healthit.gov/

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Provide patients with secure access to their medical records, test results, appointment scheduling, and communication with providers.

Examples:

MyChart (Epic's patient portal interface)

Epic Systems Corporation. (n.d.). MyChart. Epic Systems Corporation. Retrieved July 27, 2025, from https://www.mychart.com/

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MyChart lets you see your medications, test results, upcoming appointments, medical bills, price estimates, and more all in one place, even if you’ve been seen at multiple healthcare organizations.

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Picture Archiving and Communication Systems

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Picture Archiving and Communication Systems

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Used to store, retrieve and share medical images (x-rays, MRIs and CT scans).

Examples: GE Centricity PACS and Philips IntelliSpace

Radiological Society of North America (RSNA). (n.d.). Picture archiving and communication systems (PACS). Radiological Society of North America. Retrieved July 27, 2025, from https://www.rsna.org/PACS

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Picture Archiving and Communication Systems

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Store and manage patient health data

-medical records

-diagnoses

-medications

-lab results

-treatment plans

Examples: Epic, Cerner, Allscripts, Meditech

HSE Ireland. (2018, September 26). Electronic Health Record [Video]. YouTube. https://youtu.be/t8a7XO7MuQE?si=1nXSc_mKeS-kHHC7

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Nursing and Medication Administration Tools

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Nursing and Medication Administration Tools

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Tools to support safe, efficient, and accurate medication management.

Examples: BCMA (Pyxis, Epic, Cerner), eMAR (Epic, Cerner, Meditech), Mobile Medication Administration Apps (Rover by Epic) and ADCs (Pyxis and Omnicell)

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Allows employees to report safety events, or near misses while identifying trends and areas needing improvement.

Examples: RLDatix, Emergency Care Research Institute (ECRI) Patient Safety Organization, Institute for Safe Medication Practices (ISMP).

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ECRI is an independent, nonprofit organization improving the safety, quality, and cost-effectiveness of care across all healthcare settings. With a focus on healthcare technology and safety, ECRI is the trusted expert for healthcare leaders and agencies worldwide.

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Utilized in hospital settings to track patient fall rates across units.

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Healthcare costs can quickly spin out of control. Misallocation of resources can quickly bring down quality of care. To keep efficiency and profitability moving in the right direction, you need to see all your key healthcare reporting metrics across hospitals, programs, and regions.

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A self-service analytics tool that helps clinicians, managers, and researchers easily analyze healthcare data, identify trends, and generate custom reports.

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Epic Slicer Dicer is a self-service analytics tool that helps clinicians, managers, and researchers easily analyze healthcare data, identify trends, and generate custom reports. It allows users to create queries, filter data, and visualize patterns to gain insights into patient populations, care outcomes, and operational performance.

With real-time searches, trend analysis, and advanced features like line-level details, Slicer Dicer empowers healthcare teams to make data-driven decisions while maintaining compliance through required training and IRB approval for sensitive data access.

Self-Service Data Exploration: Easily create custom queries without needing IT support.

Real-Time Trend Analysis: Visualize patient and operational trends instantly.

Custom Reporting Tools: Build tailored reports to support clinical and business decisions.

Line-Level Data Access: Drill down for detailed, granular data analysis.

Integrated Compliance Controls: Requires training and IRB approval to ensure secure data use.

What is Slicer Dicer?

Slicer Dicer serves a pivotal role in simplifying access to clinical data for defined populations, making it a crucial resource for clinicians, managers, and researchers alike. Users can leverage the Slicer Dicer tool to narrow down populations of records, group them, select metrics to view, and save data for future use, transforming complex data into actionable insights. This self-service reporting tool empowers users to explore data independently, fostering a more efficient and data-driven approach to healthcare.

Slicer Dicer's versatility means it can be used for a wide range of purposes, from clinical research to operational management. Its ability to provide real-time searches, refine queries, and analyze trends means that users can dynamically interact with data to meet their specific needs.

Accessing Slicer Dicer

Users can navigate to Slicer Dicer via the main Epic menu or by using the 'Chart Search' feature within the Epic Hyperspace interface. Once logged in, selecting the appropriate module from the Epic interface will bring users directly to Slicer Dicer, which is activated for immediate data exploration and analysis.

Seamless integration with other applications across the Epic system ensures quick access to data analysis, maintains workflow efficiency, and allows users to focus on deriving insights rather than navigating complex systems.

Initial Training

New users must complete training to gain access to Epic, which is managed by their respective departments, before utilizing the available data. The Epic Learn Center offers a variety of training materials tailored to different user roles, including comprehensive guides and video tutorials specifically for the Slicer Dicer platform. These resources ensure that all users, regardless of their background, can master the tool effectively.

Detailed guides and online tutorials are invaluable for first-time users, offering step-by-step instructions on navigating the interface, conducting searches, and interpreting data. Addressing common issues and providing solutions through these training materials helps users feel more confident and capable in their initial encounters with Slicer Dicer.

IRB Approval

Obtaining IRB (Institutional Review Board) approval is mandatory for research involving sensitive patient information, ensuring compliance with ethical standards and protection of patient privacy. Researchers must submit their proposals for IRB approval before accessing sensitive patient data through the Slicer Dicer tool.

This step is crucial for maintaining research integrity and safeguarding patient information. Physicians and researchers must secure the necessary research requests to avoid ethical or legal complications. Understanding the IRB approval process is fundamental for anyone using Slicer Dicer for research purposes.

Exploring Data Models

One of the most powerful features of Slicer Dicer is its ability to allow users to explore and customize data models intuitively. This flexibility is essential for examining trends and making data-driven decisions. The tool pulls patient data from the CareConnect system, offering a dynamic and up-to-date view of clinical information, typically reflecting data that is at least one day old.

Users can perform real-time searches, refine queries, and analyze trends directly within the Epic system. This self-service reporting capability allows users to generate reports independently, fostering a more agile and responsive approach to data analysis.

Whether searching for specific terms in lab results or accessing patient charts, Slicer Dicer provides the right tools to delve deep into clinical data.

Creating Custom Reports

Creating custom reports with Slicer Dicer empowers users to explore data independently and tailor reports to their needs. Selecting relevant data elements and applying filters enables users to create detailed, customized reports that offer meaningful insights.

The dynamic nature of Slicer Dicer allows users to refine their data searches on the fly, facilitating a more responsive and iterative approach to report creation. Effective aggregation and exploration of patient data allow users to generate accurate and highly relevant reports for their research or operational needs.

Building Reports

Building reports in Slicer Dicer is intuitive and flexible, allowing users to initiate searches by entering keywords and selecting from suggested criteria. This process allows for the combination of similar data elements, enhancing the accuracy and relevance of the reports.

Combining similar data elements seamlessly within the Slicer Dicer interface allows users to create comprehensive reports reflecting their specific queries. Whether for research or operational management, these customized reports provide invaluable insights for informed decision-making.

Visualizing Data

Visualizing data is crucial for interpreting and presenting findings. Slicer Dicer supports various formats, including bar graphs, line graphs, maps, and tree map charts, to present data meaningfully. These visualizations help users to examine trends and understand the underlying patterns in their data.

By offering a range of visualization options, Slicer Dicer enables users to choose the most appropriate format for their data analysis needs. From horizontal bar graphs for critical metric comparison to line graphs for tracking changes over time, the tool provides the flexibility to present data effectively.

Exporting and Sharing

Once reports are created, the ability to export and share data is crucial for collaboration and quality improvement initiatives. Slicer Dicer allows users to export data for these purposes, provided they have the necessary approvals. This feature ensures that data can be shared with department managers or other relevant stakeholders to drive improvements and inform decision-making.

With the right permissions, exporting data from Slicer Dicer is straightforward, supporting a culture of continuous quality improvement. Whether for internal reviews or broader research dissemination, the ability to share data effectively is a significant advantage of using Slicer Dicer.

Advanced Features

Beyond basic functionalities, Slicer Dicer offers advanced features that can significantly enhance data analysis capabilities. These features include access to line-level details, trend analysis, and data integration with other tools.

By leveraging these advanced features, users can delve deeper into their data and uncover insights that are not apparent through basic analysis alone. Here's a closer look at a few key advanced features:

Line-Level Details

Accessing line-level details within Slicer Dicer allows users to drill down into specific data points for more granular analysis. This capability is particularly useful for examining individual patient records and identifying patterns or anomalies that could impact clinical outcomes.

By providing access to detailed data entries, Slicer Dicer enables users to refine their queries and gain deeper insights into their analysis. Whether reviewing lab results or other specific data entries, accessing line-level details is a powerful tool for any researcher or clinician, especially when a data request is involved.

Trend Analysis

Trend analysis is critical to understanding changes in health data over time. Slicer Dicer facilitates effective trend analysis by enabling users to examine data patterns and trends relevant to specific research queries. This feature helps identify changes in patient outcomes, allowing for targeted interventions and informed decision-making.

By leveraging trend analysis, researchers can answer specific questions and uncover insights that inform their studies. The ability to review trends through various chart formats, such as horizontal bar graphs and line graphs, further enhances the tool's utility for comprehensive data analysis.

Data Integration

Integrating Slicer Dicer data with other reporting tools, like Reporting Workbench, enhances overall reporting capabilities across the enterprise landscape. This integration allows for more comprehensive analysis by combining data from various sources and providing a holistic view of health data.

By integrating data seamlessly across Epic and other enterprise applications, Slicer Dicer supports core quality improvement purposes and ensures all relevant information is considered in decision-making processes. By combining similar elements and related records, users can generate detailed and insightful reports that drive better outcomes.

Support and Assistance

Maximizing the use of Slicer Dicer requires access to robust support and assistance. Users can contact their Epic system administrator or other support resources for troubleshooting or technical issues that standard training materials do not cover.

Additionally, participating in user forums and online communities can be incredibly beneficial. These platforms allow users to share experiences, exchange tips, and find solutions to common problems. The following subsections will delve into common issues and community resources available for Slicer Dicer users.

Common Issues

Users often encounter technical difficulties while using Slicer Dicer, such as login problems or data retrieval errors. If issues are not resolved through predefined training materials, users should contact their system administrators or other support resources for their Epic landscape.

Community forums and online platforms offer additional support, where users can discuss their challenges and share solutions. Engaging with these resources can enhance users' understanding and help overcome common issues more efficiently.

Community Resources

There are various online forums where Slicer Dicer users can exchange tips, share experiences, and seek assistance, making it easier for users to access best practices and troubleshoot common issues.

Individuals can gain new insights and improve their use of Slicer Dicer by engaging with other users and departments. Whether for problem-solving or enhancing their skillset, community resources offer a connected support network for users across the Epic landscape.

Get Started with Epic Experts

From assessing your current Epic setup and identifying key improvement areas to streamlining critical data management tasks and navigating complex integrations between Epic and non-Epic applications, Surety Systems is here to help.

Our senior-level Epic consultants have the skills and experience to understand your key project needs, guide your teams through each project phase, and ensure your employees are prepared for continuous improvement and innovation over time.

Contact Us

For more information about our Epic consulting services or to get started on a project with our team of expert consultants, contact us today.

Frequently Asked Questions

What is the primary purpose of Slicer Dicer?

How can I access Slicer Dicer?

Do I need IRB approval to use Slicer Dicer?

How can I export and share data from Slicer Dicer?

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Epic Slicer Dicer: The Ultimate Tool for Enhanced Health Data Analysis - Surety Systems

# data[].attributes.attachment_link.description
Explore how Epic Slicer Dicer leverages self-service analytics to enable better insights into patient care, outcomes, and operational performance.

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Clinical Decision Support Systems (CDSS)

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Clinical Decision Support Systems (CDSS)

# data[].attributes.body
Aids in improving patient outcomes, reduction in medical errors and enhancing clinical efficiency by providing clinicians with evidence-based recommendations at the point of care.

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Harnessing the power of clinical decision support systems: challenges and opportunities

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Clinical decision support systems (CDSSs) are increasingly integrated into healthcare settings to improve patient outcomes, reduce medical errors and enhance clinical efficiency by providing clinicians with evidence-based recommendations at the…

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How CPOE is reshaping the future of healthcare?

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This Padlet highlights examples of informatics tools to promote patient safety and quality, including Electronic Health Records (EHRs), Clinical Decision Support Systems (CDSS), and Computerized Provider Order Entry (CPOE).  Each section includes links, videos and examples of what informatics can offer in the context of safe and effective care.

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1. What are the possible privacy or ethical issues related to patient portals and telehealth platforms, and how could nurses assist in safeguarding patient data?

2. What informatics tool do you think has been the most impactful for improving patient outcomes, and why do you think this is?

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Alison Teneyck

Jean Verrett

Terri Whittaker

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Manages lab orders, specimen tracking, results reporting and quality control.

Examples: Sunquest, Cerner PathNet and Orchard Harvest

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Nursing informatics combines nursing science, computer science, and information science to enhance healthcare delivery. Florence Nightingale's early work in data collection laid the groundwork, but the field truly blossomed with the rise of computers in healthcare. A major milestone occurred in 1992 when the American Nurses Association (ANA) officially recognized nursing informatics as a specialty.

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HISTORY OF NURSING INFORMATICS  (International setting)

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HealthIT.gov. (n.d.). Health information technology. U.S. Department of Health and Human Services. https://www.healthit.gov/

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Demigos Healthcare. (2022, October 19). How CPOE is reshaping the future of healthcare? YouTube. https://www.youtube.com/watch?v=P9fQxYfRPoU

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Epic Systems Corporation. (n.d.). MyChart. Epic Systems Corporation. https://www.mychart.com/

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Radiological Society of North America (RSNA). (n.d.). Picture archiving and communication systems (PACS). Radiological Society of North America. https://www.rsna.org/PACS

# data[].attributes.body
HSE Ireland. (2018, September 26). Electronic Health Record [Video]. YouTube. https://youtu.be/t8a7XO7MuQE?si=1nXSc_mKeS-kHHC7

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National Research Council (US) Committee on Quality of Health Care in America. (2001). Crossing the quality chasm: A new health system for the 21st century. National Academies Press. https://www.ncbi.nlm.nih.gov/books/NBK470273/

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ECRI. (n.d.). ECRI: Improving the safety, quality, and cost‑effectiveness of care. https://home.ecri.org/

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Tableau Software. (n.d.). Healthcare and life sciences analytics. Tableau. https://www.tableau.com/solutions/healthcare-analytics

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Surety Systems. (2025, June 13). Epic Slicer Dicer: The ultimate tool for enhanced health data analysis. Surety Systems.  https://www.suretysystems.com/insights/epic-slicer-dicer-the-ultimate-tool-for-enhanced-health-data-analysis/

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Goh, Y. S., Ow Yong, J. Q. Y., Chee, B. Q. H., Kuek, J. H. L., & Ho, C. S. H. (2022, June 2). Machine learning in health promotion and behavioral change: Scoping review. Journal of Medical Internet Research, 24(6), e35831. https://doi.org/10.2196/35831

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Integrating wearable devices into EHRs enhances chronic disease management?

Goh, Y. S., Ow Yong, J. Q. Y., Chee, B. Q. H., Kuek, J. H. L., & Ho, C. S. H. (2022, June 2). Machine learning in health promotion and behavioral change: Scoping review. Journal of Medical Internet Research, 24(6), e35831. https://doi.org/10.2196/35831

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Machine Learning in Health Promotion and Behavioral Change: Scoping Review

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Background: Despite health behavioral change interventions targeting modifiable lifestyle factors underlying chronic diseases, dropouts and nonadherence of individuals have remained high. The rapid development of machine learning (ML) in recent years, alongside its ability to provide readily available personalized experience for users, holds much potential for success in health promotion and behavioral change interventions.
Objective: The aim of this paper is to provide an overview of the existing research on ML applications and harness their potential in health promotion and behavioral change interventions.
Methods: A scoping review was conducted based on the 5-stage framework by Arksey and O’Malley and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews) guidelines. A total of 9 databases (the Cochrane Library, CINAHL, Embase, Ovid, ProQuest, PsycInfo, PubMed, Scopus, and Web of Science) were searched from inception to February 2021, without limits on the dates and types of publications. Studies were included in the review if they had incorporated ML in any health promotion or behavioral change interventions, had studied at least one group of participants, and had been published in English. Publication-related information (author, year, aim, and findings), area of health promotion, user data analyzed, type of ML used, challenges encountered, and future research were extracted from each study.
Results: A total of 29 articles were included in this review. Three themes were generated, which are as follows: (1) enablers, which is the adoption of information technology for optimizing systemic operation; (2) challenges, which comprises the various hurdles and limitations presented in the articles; and (3) future directions, which explores prospective strategies in health promotion through ML.
Conclusions: The challenges pertained to not only the time- and resource-consuming nature of ML-based applications, but also the burden on users for data input and the degree of personalization. Future works may consider designs that correspondingly mitigate these challenges in areas that receive limited attention, such as smoking and mental health.

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Menachemi N, Rahurkar S, Harle CA, Vest JR. The benefits of health information exchange: an updated systematic review. J Am Med Inform Assoc. 2018 Sep 1;25(9):1259-1265. doi: 10.1093/jamia/ocy035. PMID: 29718258; PMCID: PMC7646861.

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Health information exchange (HIE) systems can reduce hospital readmissions and duplicate testing?

Menachemi, N., Rahurkar, S., Harle, C. A., & Vest, J. R. (2018). The benefits of health information exchange: An updated systematic review. Journal of the American Medical Informatics Association, 25(9), 1259–1265. https://doi.org/10.1093/jamia/ocy035

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The benefits of health information exchange: an updated systematic review

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Widespread health information exchange (HIE) is a national objective motivated by the promise of improved care and a reduction in costs. Previous reviews have found little rigorous evidence that HIE positively affects these anticipated benefits.…