Healthcare Analytics Summit Archives

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The Why And How Of Machine Learning And AI: An Implementation Guide For Healthcare Leaders

Kenneth Kleinberg and Eric Just

Care Management – Critical Component Of Effective Population Health

Kathleen Clary, BSN, MSN, DNP

Demystifying Text Analytics and NLP in Healthcare

Mike Dow and Carolyn Wong Simpkins, MD, PhD

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Improve Reported Outcome Measures With Standardized Care Processes (Case Study)

Text Analytics: You Need More than NLP (Technical Session)

How to Measure and Get an ROI out of your Outcomes Improvement Projects (Education Session)

Improving Outcomes in a Value-Based Environment: Holistic Care Management for Complex Medical Conditions (2 Hour Deep Dive Case Study Session)

Population Health Management – Driving Improved Outcomes in Women’s Services Through Collaboration and Analytics (Case Study)

Leading Adaptive Change to Create Value (2 Hour Deep Dive Education Session)

Powerful Ways to Use Hadoop in your Healthcare Big Data Strategy (Technical Session)

Turn Your Analysts into Data Detectives: Discovering Patterns in Data (Education Session)

Partners’ Care Management Strategy: A 10-Year Journey (2 Hour Deep Dive Education Session)

Do No Harm: Reducing Hospital-Acquired Conditions Through Cultural Transformation, Analytics, and Education (Case Study)

New Competencies for Succeeding in Risk-based Arrangements (Education Session)

Healthcare Analytics—Are You Just Buying a Car or Actually Planning to Go Somewhere? (Education Session)

Deploying Predictive Analytics: A Practitioner’s Guide (Technical Session)

Outcomes Improvement Governance: The Quest to Achieve More With Less

Leveraging Data and Strong Partnerships To Thrive In The Land Between Volume And Value

The Price Is Right 2.0: Designing Population Health to Thrive in a Value-Based World

Security frameworks in data warehousing and their interplay with healthcare analytics (Technical Session)

Improved Outcomes and a Proven ROI Model for Quality Improvement: Transforming Diabetes Care (Case Study)

The Geisinger Hedged Unified Data Architecture (Case Study)

From the Boardroom to the Bedside – Using Analytics to Drive a Culture of Continuous Improvement (Case Study)

FHIR’d up about Clinical Data Intelligence: Cleveland Clinic’s Real Time Decision Support System (Technical Session)

Building an Enterprise Analytics Organization (Case Study)

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie or Die (Education Session)

Actionable Analytics: From Predictive Modeling to Workflows (Case Study)

Predictive Analytic Models – a Must in the Journey to Reducing Readmissions (Case Study)

UPMC’s System-Wide Change to Service Lines— Supported by Activity-Based Costing: The Blueprint to Healthcare Improvement Efforts (Case Study)

Population Health: Lessons from One of the Nation’s Most Innovative Rural Community Models (Documentary: The Story of New Ulm: A Population Health Transformation)

Improving Workflow: How Stanford Uses Analytics and Process to Ease Hospital Crowding

Panel: Precision Medicine and Embracing Variability

Panel: Best Practices in Achieving Physician Engagement

How One ACO is Using Analytics to Position Itself for Population Health Management and Shared Savings

Panel: Data Governance in Healthcare

Breaking Down Silos: Resolving Academic, Medical, and Research Interests Once and for All

Five Months to Improvement: How Stanford Built an Improvement Program that Gets Results

Clinical Standards Work To Improve Evidence-Based Care Delivery: A How-To Workshop

Quality Improvement in Healthcare: An ACO Palliative Care Case Study

Panel: How Community Hospitals Thrive with Analytics

Reducing Waste at Intermountain Healthcare: The Vision, Mission, and Tools to Change Everything

How This ACO is Using Actionable Data and an Integrated Care Program To Improve Outcomes

$74M in Healthcare Operational Improvements: How Texas Children’s Hospital is Delivering on Its Vision

Integrating Process and Informatics at CO Kaiser Permanente to Achieve Benchmark Cardiovascular Outcomes

MultiCare – Organizing for Accountable Care and Population Health

The Price is Right: How to Thrive in the New Value-based Care Delivery World

Allina Health’s Journey: Analytics and Outcomes (including documentary)

Measured Outcomes: A Future View of Value-Based Healthcare Follow Up

Panel: Children’s Hospitals: “Tike-mares”…Are the Monsters Under the Bed Real?

Entering Shared Risk for Community Hospitals Through Physician Engagement

How a Pioneer ACO Is Using Analytics to Improve the Management of Heart Failure

Sneak Peak: Improving Patient Engagement and Outcomes with Predictive Analytics

Partners HealthCare Analytics Strategy for Bundled Payments and Risk Management

Is Big Data a Big Deal…or Not?

Texas Children’s Hospital: Applying a Three-Systems Approach to Improving Surgical Outcomes

How One Pioneer ACO is Improving Healthcare Performance through Analytics and Cultural Transformation

How Mayo Clinic Standardized Care Across 22 Emergency Departments

Eliminating Waste and Reducing Cost: Re-Inventing Value in Cincinnati Children’s

Health Analytics: Driving and Being Driven by Profound Change

The Healing Power of Data

23) There Is A 90% Probability That Your Son is Pregnant: Predicting the Future of Predictive Analytics in Healthcare

22) Getting An ROI Out of Your Healthcare Analytics Projects

21) Key Principles And Approaches To Population Health Management

20) How To Drive Clinical Improvement Programs That Get Results

18) An Accountable Care Transformation Framework

17) How TCH Links Clinical And Financial Data To Improve Outcomes

16) How Allina Health Uses Analytics To Transform Care

15) Day 1 In Review Through Analytics

12) User Group Kickoff And New Product Roadmap

11) Creating Physician Engagement

10) How To Make Analytics A Strategic, C-Level Imperative

9) Getting The Most Out Of Your Data Analyst

8) Overview of the Healthcare Analytics Market

7) Organizing For Analytics Success

6) Making Healthcare Waste Reduction and Patient Safety Actionable

5) Building An Analytics Strategy Based On The Healthcare Analytics Adoption Model

4) How Cleveland Clinic Uses Data To Transform The Patient Experience

3) How Geisinger Uses Analytics to Transform Healthcare