Jacob Kean

Has grant

VA Salt Lake City Healthcare System
Country flagUnited States

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Recent Grants

Grant: Close

Genomic Insights into the Neurobiology of Cerebral Palsy

Open Date: 2019-04-01

Close Date: 2023-12-31

Grant: Close

A comparative effectiveness study of speech and surgical treatments using a Cleft Palate Registry/Research Outcomes Network.

Open Date: 2018-03-01

Close Date: 2023-02-28

Grant: Close

Long-Term Impact of Military-Relevant Brain Injury Consortium (LIMBIC) Award

Open Date: 2017-10-01

Close Date: 2018-09-01

Grant: Close

Phenotypes of Comorbidity in Epilepsy: Variation by TBI Severity and Deployment Status

Open Date: 2016-10-01

Close Date: 2017-09-01

Grant: Close

Optimizing TBI Inpatient Rehabilitation: Longitudinal Analysis of Intervention

Open Date: 2016-07-21

Close Date: 2018-06-30

Articles (4)

Year:

2024

Year:

2023

Variation in availability, format, and standardization of patient attributes across health care organizations impacts patient-matching performance. We report on the changing nature of patient-matching features available from 2010–2020 across diverse care settings. We asked 38 health care provider organizations about their current patient attribute data-collection practices. All sites collected name, date of birth (DOB), address, and phone number. Name, DOB, current address, social security number (SSN), sex, and phone number were most commonly used for cross-provider patient matching. Electronic health record queries for a subset of 20 participating sites revealed that DOB, first name, last name, city, and postal codes were highly available (>90%) across health care organizations and time. SSN declined slightly in the last years of the study period. Birth sex, gender identity, language, country full name, country abbreviation, health insurance number, ethnicity, cell phone number, email address, and weight increased over 50% from 2010 to 2020. Understanding the wide variation in available patient attributes across care settings in the United States can guide selection and standardization efforts for improved patient matching in the United States.

Year:

2023

Year:

2023

Collaborators (5)

Mary Jo Pugh

Professor

University of Utah

UNITED STATES
View details

Huong Meeks

Assistant Professor

University of Utah

UNITED STATES
View details

Ramkiran Gouripeddi

University of Utah

UNITED STATES
View details

Elmer Bernstam

Professor

The University of Texas Health Science Center at Houston

UNITED STATES
View details

Abel Kho

Northwestern University

UNITED STATES
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.