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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
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