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Healthcare Business Intelligence

Healthcare Data Visualization: Data Through Design

Posted by Jean-Luc Coquerel

Aug 26, 2016 12:30:00 PM



Healthcare organizations typically compile data from multiple sources, and tools that enable them to analyze that data for actionable purposes are in high demand. Due to the fact that most humans process information more easily when it’s presented with a strong visual element, some healthcare providers are utilizing visual representations of the data to better communicate it to various stakeholders. Whether it’s through dashboards, infographics, stacked bar charts, line graphs, cartographs, Choropleth, Pinpoint and heat maps, these healthcare data visualizations give them a way to communicate quantitative data in a way that is accessible and easy to understand.

The California Healthcare Foundation notes that characteristics of strong data visualizations include personalization, storytelling, relevance, timeliness, connections and comparisons. They should be designed in a way that meets HIPAA guidelines by removing specific patient data and that allows users to access the information through multiple types of devices.

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Topics: Healthcare Data Governance

Data Warehouses: What They Are and How They Help Report Management

Posted by Ron Stephenson

May 18, 2016 12:30:00 PM



Healthcare organizations gather massive amounts of data to utilize for a variety of purposes, but that data is often spread out among various facilities, departments and systems. To help manage the vast amount of data being processed and to help centralize how data is governed, many organizations utilize data warehouses, which act as a central clearinghouse and offer an accessible and complete view of organization-wide data. By aggregating and centralizing data from across the organization, healthcare providers can obtain and analyze clinical, financial and operational data with better, holistic reports.

In order to be effective, data warehouses should be flexible and scalable while balancing analytics capabilities with transaction-based functionality. By consolidating large amounts of clinical and financial data into a central location and transforming the data into usable, actionable reports, data warehouses allow data to be constantly available for analyzation, planning and comparison purposes.

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Topics: Healthcare Data Governance

Five Big Benefits of Data Governance in Healthcare

Posted by Jean-Luc Coquerel

Apr 26, 2016 12:30:00 PM



five-big-benefits-of-data-governance-in-healthcare.jpgAcross the healthcare industry, data is being utilized in new and exciting ways to improve the quality of patient care. As healthcare organizations begin to gather and distribute large amounts of data, however, they need methods, processes and tools in place to manage and safeguard how and where that data is being used. Data Governance is the system of rules, standards and tools used to ensure the safe and efficient use of data in your environment.

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Topics: Healthcare Data Governance

How to Optimize Healthcare Data Management

Posted by Jean-Luc Coquerel

Mar 15, 2016 12:30:00 PM



Healthcare organizations understand that optimizing data management requires a focus on both collecting and managing data, as well as analyzing it for actionable insights and business intelligence. Most find a substantial amount of resources are being spent collecting, validating, transforming, aggregating, and preparing data to produce reports, extracts, and dashboards.

Fortunately, there are tools to streamline the data management process to ensure it provides the information and analytics that a healthcare facility requires to succeed. Four options are:

  • Data Warehousing

Implementing a robust data warehouse is a valuable tool for optimizing healthcare data management. A data warehouse is a central data repository that aggregates and stores data from various applications, legacy systems, and sometimes external sources. It is generally the main source of information for reporting and is optimized for analytics. It provides a well-established tool for organizations to create the foundation for their data assets.

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Topics: Healthcare Data Governance

6 Steps to Successful Healthcare Data Management

Posted by Ron Stephenson

Mar 14, 2016 11:30:00 AM



Healthcare data management is the development and implementation of policies and procedures to manage the information lifecycle effectively. It is not a one-time event or project, but an ongoing process that must be adjusted based on changes in the organization.

While each healthcare facility is unique and must approach data management in lights of their individual needs and goals, below we highlight 6 fundamental steps to success that can support this effort:

1. Establish Executive Sponsorship

The importance of sponsorship from an executive member of the organization cannot be underestimated. It ensures that healthcare data management has the vision, support, and resources needed to be successful. An executive sponsor can also provide oversight of the data governance program which directly affects the data management lifecycle.

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Topics: Healthcare Data Governance

How Executive Sponsorship Helps Optimize Your Healthcare Data Management Strategy

Posted by Jean-Luc Coquerel

Mar 11, 2016 12:30:00 PM



There are several fundamental elements required for an organization to optimize their healthcare data management strategy. These include overseeing and appropriately managing the people, processes and systems that create, use, or transform data.

A vital component of any data management strategy is executive sponsorship -- this is typically a senior level executive who will champion the project, provide oversight and take responsibility for ensuring its success.

Below, we highlight 7 ways that executive sponsorship impacts and optimizes a data management strategy:

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Topics: Healthcare Data Governance

Improve Business Intelligence with Healthcare Data Governance

Posted by Jean-Luc Coquerel

Feb 29, 2016 12:30:00 PM



improve-business-intelligence-with-healthcare-data-governance.jpgHealthcare organizations today are not just overloaded with enormous quantities of data, they are often overwhelmed by it. EHR systems perpetually produce volumes of information and new datasets are constantly emerging.

While healthcare facilities have an abundance of information, what they sometimes lack is business insight. Data can be stored in silos, rendering it less accessible or difficult to aggregate into a comprehensive solution. This can hinder teams from making well-informed and timely decisions.

While this scenario can be challenging, the solution is more straightforward. By implementing a well planned data governance program, an organization can more effectively leverage their data assets to glean actionable intelligence. This has a positive impact on patient care, as well as clinical, operational and financial goals.

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Topics: Healthcare Data Governance

10 Questions to Ask Before Implementing a Healthcare Data Governance Program

Posted by Jean-Luc Coquerel

Feb 25, 2016 12:30:00 PM



A mission-critical priority for all healthcare organizations is to implement a comprehensive healthcare data governance program. It supports and drives:

  • Improved quality of care, patient safety, and patient satisfaction.
  • Enhanced operational efficiency and cost management.
  • Regulatory compliance and the achievement of MU standards.
  • A culture of data quality that positively impacts all operational areas.

However, before healthcare facilities can reap these rewards, they must define a suitable data governance methodology. While each organization is unique, generally speaking, here are 10 fundamental questions to answer to help guide your organization in this process:

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Topics: Healthcare Data Governance

How to Know if Your Healthcare Data Governance is Working

Posted by Ron Stephenson

Feb 23, 2016 12:30:00 PM



The most important function of a healthcare data governance program is to provide the infrastructure to support and protect the organization’s data assets. The overall objective is to establish a strategic vision to ensure access to high quality data and analytics.

If you’re questioning whether your healthcare data governance process requires improvement, check out these 4 warning signs:

1. Low quality data

A weak data governance program allows inaccurate and incomplete information to flow through the system. This low quality data is not actionable intelligence that clinicians and other team members can utilize to make informed decisions. Often, this problem can be traced back to inadequate policy or oversight, lack of training and feedback to users, or a deficiency in data standards.

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Topics: Healthcare Data Governance

How Epic Reporting Can Facilitate Better Data Governance

Posted by Jean-Luc Coquerel

Feb 22, 2016 12:30:00 PM



Healthcare organizations are under constant pressure to manage, analyze and exploit an ever increasing volume of operational, clinical, and patient data. Turning raw information into actionable intelligence can seem more challenging than ever.

To address this challenge, healthcare facilities are leveraging reporting and data analytics solutions to achieve both their data governance objectives and meet their information needs.

Below, we highlight 4 key ways that Epic reporting solutions can facilitate excellence in data governance:

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Topics: Epic Reporting, Healthcare Data Governance

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