jhsph.orgJohns Hopkins ACG® System
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Title:Johns Hopkins ACG® System
Description:Models and predicts an individual’s health over time using data from medical claims, electronic medical records, and demographics like age and gender.
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Early Bird Registration NOW OPEN! 2020 International Conference LEARN MORE Menu Contact Us Search Log in/Register Home News The ACG® System Advantage Differentiating Features Our Team Research & Development System Extensions Applications Common Uses Global Impact Get the ACG System Request a Demo Let’s Work Together Get the ACG System Consulting Services Collaborating About Us Meet Our Team Research & Development Barbara Starfield Collaborators Media/Press Resource Center New in Version 12.0 Bibliography System Documentation Conferences Educational Newsletter Starfield Award Support Contact Us Search Login CONTACT For more information about the ACG System please fill out the form below and a team member will contact you promptly to begin the conversation. If you require immediate assistance, please call 410-361-7825 . Salutation Salutation Mr. Ms. Mrs. Dr. Prof. Name First Name * Last Name * Title Organization Name * Organization Type * Organization Type * None Commercial Governmental Academic Health Plan Other Email * Phone Address City State Zip Country Referred by Country - OLD Country Afghanistan Albania Algeria American Samoa Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Colombia Comoros Congo, Democratic Republic of the Congo, Republic of the Costa Rica Côte d'Ivoire Croatia Cuba Curaçao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Faroe Islands Fiji Finland France French Polynesia Gabon Gambia Georgia Germany Ghana Greece Greenland Grenada Guam Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati North Korea South Korea Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Northern Mariana Islands Norway Oman Pakistan Palau Palestine, State of Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten Slovakia Slovenia Solomon Islands Somalia South Africa Spain Sri Lanka Sudan Sudan, South Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Virgin Islands, British Virgin Islands, U.S. Yemen Zambia Zimbabwe Message * Licensed users, please enter software vendor: Newsletter Signup for our newsletter Register Register an Account Check here to access webinars, conference presentations, case studies, videos, and more. Then create a password below. Password * Enter Password Confirm Password CAPTCHA Comments This field is for validation purposes and should be left unchanged. SEARCH 2009 Conference Presentations 2010 ACG Conference 2010 London Symposium 2011 Asia Pacific Conference 2012 ACG Conference 2012 Avignon PCSI 2012 London Symposium 2013 Perdido Beach 2013 WONCA Prague Conference 2014 JHU International ACG User 2014 London Symposium 2015 AcademyHealth Award 2015 Hartford Training 2016 ACG Conference San Diego 2017 London Symposium 2017 Puerto Rico Training Conference 2017-2018 Webinar Series 2018 International Conference San Antonio 2018 Leicester Symposium 2019 Indian Wells Training 2019 London Symposium ACG System 10.0.1i Download ACG System 9.0i Download ACG System Public Documentation ACG System x.xi Mapping Files 1 Bibliography Case Studies Documents Download The ACG System Software (Archives) Download The ACG System Software (Non-USA) Download The ACG System Software (USA) Papers Podcasts Presentations Public Access Readmissions White Paper Reports System Documentation System Downloads Training Material Version 10.0 Version 10i Training Version 11.0 Version 11.1 Version 11.2 Version 12.0 Version 8.2 – 8.2i Version 9.0 Videos Webinars White Papers Sort Results By Newest Oldest Alphabetical Popularity LOG IN Register for access to ACG System website content, newsletter & other communications Please note: this is not the 2020 User Conference Registration page. To attend the conference, click here . Salutation Salutation Mr. Ms. Mrs. Dr. Prof. Name First Name * Last Name * Title Organization Name * Organization Type * Organization Type * None Governmental Health Plan Academic Commercial Other Email * Confirm Email Password Enter Password Confirm Password Phone Referred by Address City State Zip Country Licensed users, please enter software vendor: Sign up for our newsletter Sign up for our newsletter Questions? CAPTCHA Email This field is for validation purposes and should be left unchanged. Decades of Impact on Population Health Research and Practice WHO WE ARE AND WHAT WE DO Helping you understand the health status of individual patients, subgroups and whole populations. The Johns Hopkins ACG System models and predicts an individual’s health over time using existing data from medical claims, electronic medical records, and demographics like age and gender. You gain the insights you need to evaluate and compensate providers, stratify risk, identify patients who would benefit from care management and forecast health care utilization. White Paper : The Johns Hopkins ACG System – Describing the key applications and unique benefits. Infographic: Population Health Analytics – Learn more about the Johns Hopkins population health analytics team’s capabilities. Video: Johns Hopkins Population Health Analytics – Learn how our team can help improve your population’s health and positively impact your health care costs. REQUEST A DEMO THE ACG SYSTEM ADVANTAGE For more than 30 years Johns Hopkins statisticians, economists and health care providers have collaborated with users to continually improve the ACG System’s ability to describe population health. Close to 200 million lives are impacted by the ACG System worldwide as health systems, health organizations, insurance companies, accountable care organizations (ACOs) as well as individual clinics and clinicians rely on the ACG System for health care analytics and insights into population health. From the beginning, the ACG System has provided a more accurate representation of the health of the general population by transforming health care data into actionable information. SEE ACG SYSTEM FEATURES APPLICATIONS By capturing the morbidity burden of populations, the Johns Hopkins ACG System helps explain and predict how health care resources are delivered and consumed. Click on below categories to explore these different application types in detail, or visit our Applications page to see more application types. Population Health Care Management Performance Analysis Finance/Budget Pharmacy Analysis | Financial Analysis Understand the health care needs of a population or subgroup. By taking into account the differences in illness burden among different patient populations, the ACG System helps you determine variations in disease prevalence as well as resource use. LEARN MORE Disease Management | Case Management | Care Density | Care Coordination | Coordination Markers | Optimize your case management and disease management programs. With the ACG System you can identify ...
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