Query+Health+-+Reference+Materials

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Publications
> (//Click link on bottom of page to access whole article//.) || Carol C. Diamond, Farzad Mostashari, Clay Shirky || March 1, 2009 || Susan Matney, Oren E. Livne, et al. || 2009 || N. Dustin Schultz, Oren E. Livne et al. || 2010 || N. Dustin Schultz, Oren E. Livne et al. || 2010 || Richard L. Bradshaw, Oren E. Livne, et al. || 2010 || John F. Hurdle, Jeffrey R. Botkin et al. || 2010 || N. Dustin Schultz, Scott P. Narus || 2011 ||
 * **Publication** || **Author(s)** || **Date Published** ||
 * [|Collecting And Sharing Data For Population Health: A New Paradigm]
 * [[file:siframework/FQE.AMIA 2009.final.pdf|Architecture of a Federated Query Engine for Heterogeneous Resources.pdf]] || Richard L. Bradshaw,
 * [[file:siframework/Going FURTHeR with i2b2.pdf|Going FURTHeR with i2b2.pdf]] || Scott P. Narus,
 * [[file:siframework/FURTHeR i2b2 Poster.final.pdf|Going FURTHeR with i2b2 Poster.pdf]] || Scott P. Narus,
 * [[file:siframework/FURTHeR Semantic Framework.AMIA CRI 2010.pdf|Developing a Semantic Framework for Clinical and Translational Research.pdf]] || Susan A. Matney,
 * [[file:siframework/Integrating FURTHeR with ERICA.He.AMIA 2010.pdf|Integrating a Federated Healthcare Data Query Platform With Electronic IRB Information Systems.pdf]] || Shan He,
 * [[file:siframework/JOMS.final.pdf|Federated Querying Architecture with Clinical & Translational Health IT Application.pdf]] || Oren E. Livne,
 * [[file:siframework/HP2020_brochure_with_LHI_508.pdf|Healthy People 2020.pdf]] || DHHS || November 2010 ||
 * [[file:siframework/IHI Population Health Model v12.pdf|IHI Population Health Model.pdf]] || Matt Stiefel || November, 10, 2011 ||

Presentations
Ray Fabius || 2011 ||
 * [[file:siframework/111121 VBP population measure discussion.pptx|Value-Based Purchasing Program: Community health measures strategy.pptx]] || CMS || November 2011 ||
 * [[file:siframework/HCIC Webinar 4 slides - Measuring for Success v 17 - Final Draft pptx.pptx|Health Care Innovation ChallengeWebinar 4: Measuring Success.pptx]] || CMS || December 13, 2012 ||
 * [[file:siframework/Health Delivery System Transformation.pptx|Health Delivery System Transformation.pptx]] || Neil Halfon || 2011 ||
 * [[file:siframework/PronkOLN-chronic cond.pdf|Optimal Lifestyle Adherence and 2-Year Incidence of Incidence of Chronic Conditions.pdf]] || Nico Pronk,

Standards, Specs and IGs
Crystal Kallem, Joy Kuhl, Feliciano Yu, MD || December 13, 2007 ||
 * **Document** || **Author(s)** || **Date Posted** ||
 * [[file:siframework/QRDA%20Phase%20I%20Public%20Report.pdf|Quality Reporting Document Architecture (QRDA) - Phase I Final Report]] || Liora Alschuler, Chad Bennett,

Conferences

 * [|SHRINE 2011 Conference](June 29-30, 2011) - Harvard Medical School
 * SHRINE 2011 Conference Videos

Related Initiatives
There have been several projects that will be inputs to the Query Health initiative. These include, but are not limited to:

[|i2b2 / SHRINE]
i2b2 (Informatics for Integrating Biology and the Bedside) is a scalable informatics framework deployed at 60 sites in the US and internationally. SHRINE (Shared Health Research Information Network) supports distributed queries over selected standard data and participating sites.

[|Laika]
Laika analyzes and reports on the interoperability capabilities of EHR systems. This includes the testing for certification of EHR software products and networks.

[|PopHealth]
PopHealth is an open source reference implementation software service which automates the reporting of Meaningful Use quality measures. PopHealth integrates with a healthcare provider’s electronic health record (EHR) system using continuity of care records. PopHealth also streamlines the automated generation of summary quality measure reports on the provider’s patient population.

hQuery
hQuery is an open source research project being developed by MITRE looking into best technical practices for national-scale distributed queries of electronic health records using information content from continuity of care documents.

[|PopMedNet]
Enables simple creation of distributed health data networks, and facilitates distributed queries of electronic health and claims data to support medical product safety, comparative effectiveness, quality, medical resource use, cost-effectiveness, and related studies. MDPHNet is a project that will combine PopMedNet with ESP, a clinical data model, for distributed queries of EHRs. Jeffrey S. Brown, Mark McClellan, Janet Woodcock, Richard Platt || January 12, 2011 || Judith Maro, Beth Syat, Kimberly Lane, Ross Lazarus, Richard Platt || July 29, 2008 ||
 * **Publication** || **Author(s)** || **Date Published** ||
 * [|Developing the Sentinel System — A National Resource for Evidence Development] || Rachel E. Behrman, Joshua S. Benner,
 * [|Design of a Distributed Data Network for Comparative Effectiveness Research] || Jeffrey Brown || March 23, 2010 ||
 * [|Design Specifications for Network Prototype and Cooperative to Conduct Population-Based Studies and Safety Surveillance] || Jeffrey S. Brown, John Holmes,
 * [|Distributed Query Tool Overview and Technical Documentation] || Jeffrey Brown || May 2011 ||
 * [|Distributed Query Tool Sample Investigator Manual] || Jeffrey Brown || May 2011 ||
 * [|Distributed Query Tool Sample DataMart Administrator Manual] || Jeffrey Brown || May 2011 ||

[|ESP]
The Electronic medical record Support for Public health (ESP) project is an automated software application, which analyzes electronic medical record (EMR) data, to identify and report conditions of interest to public health and other agencies.

[|Mini-Sentinel]
A pilot project sponsored by the U.S. Food and Drug Administration (FDA) to inform and facilitate development of a fully operational active surveillance system, the Sentinel System, for monitoring the safety of FDA-regulated medical products. Mini-Sentinel is a part of the Sentinel Initiative, a multi-faceted effort by the FDA to develop a national electronic system that will complement existing methods of safety surveillance. Mini-Sentinel is a PopMedNet project.
 * **Publication** || **Author(s)** || **Date Published** ||
 * [[file:siframework/Summary Tables and Querying_26May2011_primer.pdf|Overview of the Mini-Sentinel Summary Tablesand Distributed Query Tool]] || Jeffrey S. Brown || May 31, 2011 ||

[|OMOP]
Observational Medical Outcomes Partnership supports research into the methods for distributed analysis of healthcare databases to identify and evaluate safety and benefit issues of drugs on the market.

[|DARTNet]
The Distributed Ambulatory Research in Therapeutics Network links de-identified patient level data from EHRs, labs, imaging, pharmacy, and billing systems enabling a distributed query to return results on care and outcomes across a number of federated sites.

[|caGrid]
Data are the life blood of biomedical research. As such, research requires data liquidity and represents a setting in which to test approaches for increasing data velocity. The cancer community has prototyped an open‐source framework that addresses the needs of a heterogeneous community to access, integrate, and analyze biomedical data of diverse nature and source. This platform allows diverse, authorized applications, running on multiple platforms, to access appropriate data (both individual level and aggregated) from distributed sources. It permits simple access to unrestricted data using standard internet technology as well as secure access by authorized “virtual communities” to sensitive, restricted digital resources using community‐developed caGrid technology.

[|PCAST]
President’s Council of Advisors on Science and Technology. Report to the President. Realizing the Full Potential of Health Information Technology to Improve Healthcare for Americans: The Path Forward. December, 2010.

UPHN
Universal Public Health Node (UPHN) infrastructure is used to improve situational awareness and reporting for public health purposes on a NY state-wide basis through the timely collection, analysis, and evaluation of clinical case information using health information exchange for public health. Lori Evans, Dale Morse, John Fuhrman, John Brady, Farzad Mostashari, Nicholas Soulakis, LeRoy Jones, Mark Ciampa ||  ||
 * **Publication** || **Author(s)** || **Date Published** ||
 * [[file:siframework/paper17377_5.ppt|Universal Public Health Node (UPHN): An Evolution of Health Information Exchange in New York]] || Linh H. Le, Ivan J. Gotham,

[|Distribute and BioSense]
Queries Emergency Departments for aggregate level information Influenza-Like Illness (ILI). Distribute complements existing surveillance methods by providing a more comprehensive and detailed situational awareness of geographic and age-specific patterns of influenza-like illness.

PEDSNet
The Pediatric EHR Data Sharing Network ( PEDSNet) is a consortium of academic health centers that have agreed to share electronic health record and related clinical data for the purposes of transforming children’s healthcare. The network was launched on October 15, 2009 at a meeting held at the Institute of Medicine (IOM), which has facilitated the development of PEDSNet.
 * **Publication** || **Author(s)** || **Date Published** ||
 * [|PEDSNet: Lessons Learned Sharing EHR Data Among Children’s Hospitals] || Christopher B. Forrest ||  ||

**[|The Hub Population Health System]**
The Hub Population Health System (Hub) was designed by members of the [|Primary Care Information Project] within the New York City Department of Health and Mental Hygiene in partnership with multiple extension center EHR partners. It is an essential part of their virtually integrated, distributed EHR data system that was recently awarded the [|2011 HIMSS Public Health Davies Award of Excellence]. As of August 2011, there are 370 practices connected to the Hub covering 1.2 million patients. Within the year ~500 practices will be connected with 2500 providers servicing over 2.5 million New Yorkers. The system has three primary features. First, the system permits an authorized public health user to use a generic query builder to encode a public health question such as "How many patients were seen in the last month that had their Hemoglobin A1C measures under control?". This SQL query is sent out on a nightly basis to each of the participating practices, executed on their local database system, and the aggregate count results are returned for review. Second, the system permits the user to send out public health alerts (Meaningful Use Stage 2) to practices for patients with specific conditions that will show up in the EHR during the documentation process. Third, the system has a secure messaging feature that permits the sending of messages directly to the provider's EHR inbox. || Michael Buck Jesse Singer Sheila Anane ||  ||
 * **Publication** || **Author(s)** || **Date Published** ||
 * [[file:siframework/The Hub Functional Requirements PCIP.pdf|The Hub Functional Requirements PCIP.pdf]]
 * The Hub Population Health System: Distributed Ad Hoc Queries and Alerts || Michael D Buck, Sheila Anane, John Taverna, Sam Amirfar, Remle Stubbs-Dame, Jesse Singer || October 9, 2011 ||

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