CONFERENCES

2014 ACG Conference – Seattle

The 2014 JHU International ACG User Conference was April 27-30, 2014, in Seattle, Washington.

Seattle Panorama

Attendees may view and download presentations by first registering on the ACG System website and then entering the Access Code provided at conference registration.

2014 JHU International ACG User Conference Presentations.

Workshops
Introduction to the New Features and Enhancements planned for Version 11
  • Enhanced user control New predictive models focus on patients at risk for Hospital Readmission
  • New markers and measures; 15 new EDCs, 3 new Rx-MGs and more!
Hands-on Workshop Focusing on ACG System Reporting Capabilities
  • Learning to get the reports you need
  • Creating custom reports using advanced filtering options
Featured Keynote presentations:
  • Jonathan Weiner, DrPH, co-developer and Executive Director of the Johns Hopkins ACG System and Professor of Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health describes the critical need for Health Information Technology (HIT) to transform the delivery of health care. LEARN MORE
  • Edward Wagner, MD, MPH, Ed Wagner, MD, MPH, MACP, Director Emeritus, MacColl Center for Health Care Innovation and the developer of the Chronic Care Model, presents, “Moving the Chronic Care Model into the Future.”
Distinguished presenters:
  • Senior Faculty from the Johns Hopkins University and the ACG System development team
  • Designers and implementers of sophisticated predictive modeling and risk-adjusted applications
  • Leading international actuarial, clinical and analytic experts on the cutting-edge of ACG System implementation and Fellow ACG System users from around the globe
Session highlights:
  • The frontiers of population health measurement and predictive modeling, including our new model predicting hospital readmissions
  • New ways of thinking about multi-morbidity and care coordination
  • Presentation of the inaugural Barbara Starfield Award winning submission
  • Rethinking how patterns of diseases can be identified
  • Incorporating new data sources
  • What’s coming in Version 11.0
newvid999

Dean Ewald from the Minnesota Department of Health talks about the value of attending the ACG Conference.

Tuesday(C7)-Use of ACG System for Health Plan Collaboration with Primary Care Practices to Reduce Inpatient Admissions —Melissa Sherry

Use of ACG System for Health Plan Collaboration with Primary Care Practices to Reduce Inpatient Admissions  —Melissa Sherry

Monday(C5)-Application of ACGs in an Israeli Health care System-Primary Care Utilization Bands-Shadmi

Application of ACGs in an Israeli Health care System: Primary Care Utilization Bands Local calibration of ACGs to account  for the burden primary care physicians […]

Tuesday(C7)-Use of Adjusted Clinical Groups (ACGs) in implementing Chronic Disease Management Programs: preliminary experiences in north- eastern Italy

Use of Adjusted Clinical Groups (ACGs) in implementing Chronic Disease Management Programs: preliminary experiences in north- eastern Italy —Pietro Gallina, Carlo Rampazzo, Stefania Elvini, Domenico […]

Monday(C2)-Quality of Care in Multimorbid Patients-Shadmi

Quality of Care in Multimorbid Patients Efrat Shadmi, PhD, Ran D. Balicer, MD, MPH, PhD

Wednesday(C9)-The Creation of New Models to Predict Future Resource Use and Risk of Hospital Admission for a General Population in NHS England —Stephen Sutch

The Creation of New Models to Predict Future Resource Use and Risk of Hospital Admission for a General Population in NHS England —Stephen Sutch, Johns […]

Tuesday(C7)-Development of the case finding tool using the ACG system-Roberts

Development of the case finding tool using the ACG system Kevin Roberts

Monday(C1)-Concurrent Resource Use and All Age Modeling – Abrams

Concurrent Resource Use and All Age Modeling – Chad Abrams

Monday(P5)-Understanding Transitions in Morbidity Burden: an Exploratory Analysis

David Linz, MA Robert Reid, MD, PhD  Paul Fishman, PhD 

Monday(C1)-Persistent High Users Characteristics and Identification-Chang

Persistent High Users Characteristics and Identification-Hsien-Yen Chang PhD 

Monday(P4)-The association between expenditures and quality in type 2 diabetes mellitus care

The association between expenditures and quality in type 2 diabetes mellitus care  Troels Kristensena, Msc, PhD, Kim Rose-Olsena, Msc, PhD  Charlotte Ejersted, MD., PhD  Anders […]

Monday(C1)-A Model for the Risk of Unplanned Inpatient Readmission-Lemke

A Model for the Risk of Unplanned Inpatient Readmission-Klaus Lemke

Sunday-Workshop: Wrapping Your Hands Around the ACG System Advanced Reporting Options – Steve Sutch

Workshop: Wrapping Your Hands Around the ACG System Advanced Reporting Options – Steve Sutch – ACG International – Product Management Director

Monday(C2)-The Association between Patient Sharing among Physicians and Cost of Care-Lemke

The Association between Patient Sharing among Physicians and Cost of Care-Klaus Lemke

Tuesday(C6)-Do Real Time Clinical Measures Improve the Performance of ACG Based Predictive Models?-Fishman

Do Real Time Clinical Measures Improve the Performance of ACG Based Predictive Models? Paul Fishman, PhD  Robert Reid, MD, PhD 

Tuesday(C6)-Refining Patient Risk Assessment with Clinical Lab Results-Lemke

Refining Patient Risk Assessment with Clinical Lab Results-Klaus Lemke

Tuesday(P3)-Moving the Chronic Care Model into the Future-Wagner

Moving the Chronic Care Model into the Future Ed Wagner, MD, MPH, MACP  MacColl Center for Health Care Innovation  Group Health Research Institute 

Monday(C2)-Steep Increase of Registered Diagnosis Due to New Primary Care Funding Model-Martin Fredriksson

Steep Increase of Registered Diagnosis Due to New Primary Care Funding Model —Martin Fredriksson Region Västra Götaland Medical Advisor at Healtcare Department M.D. Ph.D.

Wednesday(P4)-Population Health Emerging Risk-Medscheme

Population Health Emerging Risk-Medscheme

PREDICTING HEALTHCARE COSTS IN VENETO REGION WITH ACG SYSTEM: VALIDATION AND COMPARISON OF DIAGNOSIS-BASED AND DRUG-BASED MORBIDITY GROUPS IN A NORTHERN ITALIAN POPULATION 

F. Avossa, 1, M.C. Corti, 2 , E. Schievano1, C. Abrams, 3 , N. Alba,  4 , S. Elvini, 5 , P. Gallina,  5, C. […]

Monday(C3)-Identifying Potentially Actionable Chronic Disease Patterns From Diagnoses Reported in Administrative Claims-Dave Bodycombe

Identifying Potentially Actionable Chronic Disease Patterns From Diagnoses Reported in Administrative Claims —Dave Bodycombe, Johns Hopkins University

Tuesday(C6)-Integration of claim-based diagnoses with diagnoses from General Practitioners (GPs) clinical database records improves the comorbidity description”-Corti

 Integration of claim-based diagnoses with diagnoses from General  Practitioners (GPs) clinical database records improves the comorbidity description” Maria Chiara Corti,  E. Schievano F. Avossa, K. Kinder, […]

What causes ’poly-morbidity’? Searching for triggers of multi-morbidity: tracing patient record 30 years back

Lennart Carlsson, PhD; Gunnar H Nilsson, Professor; Centre for Family Medicine, Karolinska Institutet, Sweden

Monday(C3)-Cluster Analysis: Conditions and Variables That Are the Best Predictors of High Cost Members-Bob Gladden and Cathy Meade

Cluster Analysis: Conditions and Variables That Are the Best Predictors of High Cost Members  —Bob Gladden and Cathy Meade, CareSource

Tuesday(C8)- Use of ACG within Benefit Informatics for employer health plan cost management-Bruns

 Use of ACG within Benefit Informatics for employer health plan cost management-Bruns Benefit Focus

THE INTEGRATION OF ACG WITH THE BUSINESS INTELLIGENCE SYSTEM OF A LOCAL HEALTH UNIT IN VENETO REGION, ITALY 

N. Alba1, C. Bovo1, R. Marchi1, R. Borin1, F. Avossa2, E. Schievano2, M. Saugo2, M.C. Corti3, E. Boscolo3, C. Abrams4, K. Kinder4, D. Mantoan3;  1Local […]

Monday(C3)-Geographically Identifying Expanded Diagnosis Clusters in the Hispanic/Latino Population —Thomas Ludden

Geographically Identifying Expanded Diagnosis Clusters in the Hispanic/Latino Population  —Thomas Ludden, Carolinas Healthcare System  

Wednesday(C9)-Swinging from a new tee – towards ‘The Extended Epidemiology’ by analysing the outcome from ACG processing in a County Council in Sweden

Swinging from a new tee – towards ‘The Extended Epidemiology’ by analysing the outcome from ACG processing in a County Council in Sweden —Ulf Börjesson, […]

Monday(C4)-Identifying Near Term Heath Cost Risk in the Absence of Claims Data—Bernard Khomenko

Identifying Near Term Heath Cost Risk  in the Absence of Claims Data   —Bernard Khomenko, CEBS Vice President of Client Solutions, Data Smart Solutions 

Tuesday(C8)-Using the ACG Software for a Full Picture of Population Risk Under the Accountable Care Act (ACA)-Salls and Bodycombe

Using the ACG Software for a Full Picture of Population Risk Under the Accountable Care Act (ACA) —Amy Salls, DST Health Solutions  David Bodycombe, Johns […]

Monday(C5)-Expanding the clinical toolbox for progressive healthcare intervention —Lizelle Steenkamp

Expanding the clinical toolbox for progressive healthcare intervention —Lizelle Steenkamp, Discovery Health 

Tuesday(P2)-Reaching The EMR / e-Health Tipping Point: Implications for the Future of Health Care and Population Health-Jonathan P. Weiner DrPH

Reaching The EMR / e-Health Tipping Point:  Implications for the Future of Health Care and Population Health  —Jonathan P. Weiner, DrPH  Professor of Health Policy […]

Tuesday(C6)-Bridging the Gap Between Payer Data and EHR Data —Rohan D’Souza

Bridging the Gap Between Payer Data and EHR Data —Rohan D’Souza, eClinicalWorks

Sunday-Overview of Version 11: Enhancements and Features-Salls

OVERVIEW OF VERSION 11: ENHANCEMENTS AND FEATURES  Overview of Version 11: Enhancements and Features —Amy Salls, DST Health Solutions

Monday(P1)-A New Day in Population Health Management: Innovations in Risk Adjustment and Predictive Modeling-Weiner

A New Day in Population Health Management: Innovations in Risk Adjustment and Predictive Modeling Welcome and Opening Remarks  Jonathan P. Weiner, DRPH Professor and CEO […]

LinkedIn Facebook Twitter

© The Johns Hopkins University, The Johns Hopkins Hospital, and Johns Hopkins Health System.
All rights reserved. Terms of Use Privacy Statement

Back to top