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Using Population Health, Inclusive HIM Practices to Better Treat LGBTQ Patients

Author: Dooling, Julie A; Kadlec, Lesley; Pruente, Megan; Ward, Maria; Woebkenberg, Jami; Butler-Henderson, Kerryn CHIA, FAHIMA; Ginn, Dustin MA, MHA, RHIA; Retallack, Donna RHIT; Young III, John RHIA, CHPS, CPHIMS, HCISPP

Source: Journal of AHIMA

Publication Date: September 2018









By Kerryn Butler-Henderson, CHIA, FAHIMA; Julie Dooling, MSHI, RHIA, CHDA, FAHIMA; Dustin Ginn, MA, MHA, RHIA; Lesley Kadlec, MA, RHIA, CHDA; Megan Pruente, RHIA; Donna Retallack, RHIT; Maria Ward, MEd, RHIA, CCS, CCS-P; Jami Woebkenberg, MHIM, RHIA, CPHI; and....

Cross-Functional Teams: Collaborate and Listen

Author: Dooling, Julie A

Source: AHIMA

Publication Date: March 2018










Cross-Functional Teams: Collaborate and Listen
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By Julie Pursley Dooling, MSHI, RHIA, CHDA, FAHIMA


Technology is often blamed for our troubles and challenges working with healthcare data. However, human interaction and poor....

Losing the Match Game: Study Reveals Gaps in HIM’s Patient Identity Integrity Practices

Author: Dooling, Julie A; Fernandes, Lorraine M.; Kirby, Annessa; Kadlec, Lesley; Landsbach, Grant; Lusk, Katherine; Munns, Megan; Noreen, Neysa; O'Connor, Michele

Source: Journal of AHIMA

Publication Date: October 2016



In healthcare, matching patients accurately to their medical history across multiple care sites and among various sources of data has become increasingly important as healthcare data is shared across platforms. Additionally, as clinicians need to interact with third parties and provide car....

Survey: Patient Matching Problems Routine in Healthcare

Author: Dooling, Julie A; Fernandes, Lorraine M.; Kirby, Annessa; Landsbach, Grant; Lusk, Katherine; Munns, Megan; Noreen, Neysa; O'Connor, Michele; Patten, Melinda

Source: Journal of AHIMA - website

Publication Date: January 06, 2016



A recent survey with AHIMA members revealed that over half of HIM professionals routinely work on mitigating possible patient record duplicates at their facility, and of those 72 percent work on mitigating duplicate records weekly. Contributing to the issue, less than half (47 percent) of....

Data Quality Management Model (2015 Update) - Retired

Author: Davoudi, Sion; Dooling, Julie A; Glondys, Barbara; Jones, Theresa D.; Kadlec, Lesley; Overgaard, Shauna M; Ruben, Kerry; Wendicke, Annemarie

Source: AHIMA practice brief | Journal of AHIMA

Publication Date: October 2015


Editor’s Note: This Practice Brief supersedes the July 2012 “Data Quality Management Model (Updated),” the March 1998 “Checklist to Assess Data Quality Management Efforts,” and the June 1998 “Data Quality Management Model” Practice Briefs.


Policy and Procedure Considerations for Health Information Exchange Organizations

Author: Bowen, Rita K.; Chestler, Alisa; Coomes, Donna; Dooling, Julie A; Fuller, Brenda; Grijalva, Christine; Kirby, Annessa; Kuehnast, Tanya; Stewart, Elizabeth

Source: Journal of AHIMA

Publication Date: August 2015


Policies and procedures govern the operations of health information exchange (HIE), and many factors must be taken into consideration during their development or revision. They set expectations for the workforce, delineate staff training and accountability, and must be part of an ongoing educat....

Making Health Information Exchange Work: HIOs Currently Not Ready to Support the Information Needs of a Reformed Healthcare System—But Small Changes Offer Big Outcomes

Author: Callan, Kathy; Fuller, Jan C.; Galterio, Louis; Just, Beth Haenke; Reich, Kimberly A. Baldwin-Stried ; Steigerwald, Christine; Turner-Combs, Mary Lou; Wolf, Sheldon H; Dooling, Julie A; Kirby, Annessa; Rhodes, Harry B.

Source: Journal of AHIMA

Publication Date: November 2014



Editor’s note: This article is part two of a two-part series analyzing the current state of health information exchange organizations and their operational models.


The question facing the healthcare industry is “will health information exchange organizations (HIOs....

Tracking HIE’s Ever Evolving Operational Models: Emerging health information exchange market still sorting out its business and governance models

Author: Callan, Kathy; Fuller, Jan C.; Galterio, Louis; Just, Beth Haenke; Reich, Kimberly A. Baldwin-Stried ; Steigerwald, Christine; Turner-Combs, Mary Lou; Wolf, Sheldon H; Dooling, Julie A; Kirby, Annessa; Rhodes, Harry B.

Source: Journal of AHIMA

Publication Date: October 2014



Editor’s note: This article is part one of a two-part series analyzing the current state of health information exchange organizations and their operational models.


Health information exchange (HIE) continues to be an embryonic domain—a swirling array of various pu....

Roles for HIM Professionals in HIOs

Author: Bailey-Woods, Linda; Dooling, Julie A; Fabian, Diane; Kuehnast, Tanya; Luthi-Terry, Stephanie; Raymond, Jackie; Rhodes, Harry B.; Westhafer, Kathy J

Source: Journal of AHIMA

Publication Date: August 2014



Simply stated the goal of health information exchange (HIE) is very clear-cut and easy to understand—establish networks that connect healthcare providers electronically in order to facilitate higher quality healthcare.


However, actual implementation of HIE business mod....

The Role of Analyzing Healthcare Data: Health Data Analysts Aggregate, Evaluate, and Validate Information for Key Healthcare Stakeholders

Author: Dooling, Julie A

Source: Journal of AHIMA

Publication Date: May 2014



Data are the assets that healthcare relies upon to provide needed information for making decisions and ultimately, hopefully, improving patient care. The volume of data collected today is staggering and continues to grow with the advent of electronic health records (EHRs). The healthcare d....

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