Insights

The Missing Ingredient in Healthcare Analytics: The Executive Sponsor

The Six Biggest Problems With Homegrown Healthcare Analytics Platform

Effective Healthcare Decision Support for Leaders at Every Level: Three Problems that Leading Wisely Solves

Preventing Medication Errors: A $21 Billion Opportunity

Addressing Healthcare Waste Through Centralization

A Framework for High-Reliability Organizations in Healthcare

The Healthcare Data Warehouse: Lessons from the First 20 Years

How to Achieve Your Clinical Data Analytics Goals

What Healthcare Analysts Can Learn About Data Analytics From the World of Surfing

The Homegrown Versus Commercial Digital Health Platform: Scalability and Other Reasons to Go with a Commercial Solution

Three Principles for Making Healthcare Data Analytics Actionable

Healthcare NLP: Four Essentials to Make the Most of Unstructured Data

Four Critical Phases for Effective Healthcare Data Governance

How to Turn Data Analysts into Data Scientists

DSRIP in 2018: Continuing Efforts for Medicaid Reform

The Secret to Patient Compliance: An Application of The Four Tendencies Framework

Meaningful Machine Learning Visualizations for Clinical Users: A Framework

Healthcare Data Warehouse Models Explained

Lean Healthcare: 6 Methodologies for Improvement from Dr. Brent James

Unleashing Patient’s Power in Improving Health and Care

Clinical Data Management: 3 Improvement Strategies

Infographic: Statistics from the 2018 Healthcare Analytics Summit

Six Steps to Managing an Infection Control Breach

The 2018 Healthcare Analytics Summit: Thursday Recap

The 2018 Healthcare Analytics Summit: Wednesday Recap

Database vs Data Warehouse: A Comparative Review

The Number One Secret of Highly Effective Healthcare Data Analysts

Three Ways Evidence-Based Medicine Improves Machine Learning

Cloud-Based Open-Platform Data Solutions: The Best Way to Meet Today’s Growing Health Data Demands

Survey Shows the Role of Technology in the Progress of Patient Safety

Four Essential Ways Control Charts Guide Healthcare Improvement

Employer Health Plans: Keys to Lowering Cost, Boosting Benefits

Machine Learning in Healthcare: What C-Suite Executives Must Know to Use it Effectively in Their Organizations

Identifying Vulnerable Patients and Why They Matter

EHR Integration: Achieving this Digital Health Imperative

How UPMC and Health Catalyst Improve Outcomes Using Innovation in Activity-based Costing

Five Reasons Why Health Catalyst Acquired Medicity and What It Means for Interoperability, as Explained by Dale Sanders, President of Technology

Introducing the Health Catalyst Monitor™ Patient Safety Suite: Surveillance Module

Data Warehousing in Healthcare: A Guide to Success

Five Deming Principles That Help Healthcare Process Improvement

5 Reasons Healthcare Data Is Unique and Difficult to Measure

Linking Clinical and Financial Data: The Key to Real Quality and Cost Outcomes

Six Challenges to Becoming a Data-Driven Payer Organization

Clinical Data Repository Versus a Data Warehouse — Which Do You Need?

Precision Medicine: Four Trends Make It Possible

Transforming Healthcare Analytics: Five Critical Steps

The Future of Healthcare AI: An Honest, Straightforward Q&A

How Healthcare Text Analytics and Machine Learning Work Together to Improve Patient Outcomes

A 5-Step Guide for Successful Healthcare Data Warehouse Operations

Healthcare Dashboards vs. Scorecards: Use Both to Improve Outcomes

Episode Analytics Now Mission Critical as Outcomes Meet Incomes: Partners HealthCare Paves Volume-To-Value Path With Late-Binding Data Warehouse

Value-Based Purchasing: Four Need-to-Know Domains for 2018

A Guide to Applying Quality Improvement to Healthcare: Five Principles

Quality Data Is Essential for Doctors Concerned with Patient Engagement

Why Health Systems Must Use Data Science to Improve Outcomes

Prioritizing Healthcare Projects to Optimize ROI

Four Population Health Management Strategies that Help Organizations Improve Outcomes

The Real Opportunity of Precision Medicine and How to Not Miss Out

Care Management Analytics: Six Ways Data Drives Program Success

Measuring the Value of Care Management: Five Tools to Show Impact

Advanced Analytics Holds the Key to Achieve the Triple Aim and Survive Value-based Purchasing

Critical Healthcare M&A Strategies: A Data-driven Approach

The Top 8 Skills Every Healthcare Process Improvement Leader Must Have

The Dangers of Commoditized Machine Learning in Healthcare: 5 Key Differentiators that Lead to Success

The Key to Healthcare Mergers and Acquisitions Success: Don’t Rip and Replace Your IT

Value-Based Care: Four Key Competencies for Success

The Best Solution for Declining Medicare Reimbursements

Five Data-driven Patient Empowerment Strategies

10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care Management

Health Equity: Why it Matters and How to Achieve it

Data Science for Healthcare: What Today's Leaders Must Know

Why Patient-Reported Outcomes Are the Future of Healthcare—and the Key to Ruth’s Independence

The Impact of FDA Digital Health Guidance on CDS, Medical Software, and Machine Learning

Five Lessons for Building Adaptive Healthcare Data Models that Support Innovation

Four Effective Opioid Interventions for Healthcare Leaders

How to Apply Machine Learning in Healthcare to Reduce Heart Failure Readmissions

Custom Care Management Algorithms that Actually Reveal Risk

Diversity in the Workplace: A Principle-Driven Approach to Broadening the Talent Pool

Improving Patient Safety: Machine Learning Targets an Urgent Concern

Resolving Uncompensated Care: Artificial Intelligence Takes on One of Healthcare's Biggest Costs

The Four Essential Zones of a Healthcare Data Lake

Five Solutions to Controlling Healthcare’s Cost Problem

Hospital Revenue Cycle Management: 5 Ways to Improve

Saving Lives: Effective Healthcare Communication Empowers Care Management

The Healthcare Analytics Ecosystem: A Must-Have in Today’s Transformation

Communication in Healthcare Culture: Eight Steps to Uphold Outcomes Improvement

Reducing Unwanted Variation in Healthcare Clears the Way for Outcomes Improvement

When Healthcare Data Analysts Fulfill the Data Detective Role

7 Features of Highly Effective Outcomes Improvement Projects

Why Process Measures Are Often More Important Than Outcome Measures in Healthcare

6 Proven Strategies for Engaging Physicians—and 4 Ways to Fail

The Key to Transitioning from Fee-for-Service to Value-Based Reimbursement