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Using HIEs to Prepopulate Forms Improves Public Health Disease Reporting, Study Finds

by Fred Pennic 06/15/2020 Leave a Comment

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Using HIEs to Prepopulate Forms Improves Public Health Disease Reporting, Study Finds
Brian Dixon, PhD, is director of public health informatics at Regenstrief Institute and Indiana University Richard M. Fairbanks School of Public Health at IUPUI. Shaun Grannis, M.D., is vice president for data and analytics at Regenstrief Institute and a professor of family medicine at Indiana University School of Medicine.

What You Should Know:

– A new study from Regenstrief Institute and Indiana University shows that using electronic health information exchanges (HIE) to prepopulate forms for notifiable disease reports increases reporting and completeness of information.

– The system extracts data from the Indiana Health Information Exchange and fills in the information fields on the official state reporting form.

– The form is delivered to an ambulatory care clinic using the HIE network, acting as a reminder for the clinician or staff member to review and submit the form to the local health department.


Leveraging electronic health information exchanges (HIE) to prepopulate forms for notifiable disease reports increases reporting and completeness of information, according to a new study from Regenstrief Institute and Indiana University. Published in the May/June edition of Public Health Reports, the two-year controlled before-and-after trial reveals HIE-generated forms increases provider reporting rates for notifiable conditions.


COVID-19 Pandemic Underscores Importance of Disease Tracking

Disease tracking is an important area of focus for health departments in the midst of the COVID-19 pandemic. Typically, health departments wait for hospital, laboratory, or clinic staff members to initiate the report, and it is commonly done by fax. This process can be burdensome to those charged with filing the paperwork and the public health officials who analyze it, leading to delays or gaps in reporting.


HIE-Generated Forms Study Details

The objective of this study was to determine the effect of an electronic, prepopulated notifiable disease report form on case reporting rates by ambulatory care clinics to public health authorities. Led by researchers Brian Dixon, Ph.D., and Shaun Grannis, M.D. of Regenstrief Institute, the two-year controlled before-and-after trial analyzed reports submitted to a local health department for seven notifiable diseases. The research scientists compared “usual care,” which is the use of paper and fax reports, with HIE-generated forms.

To create the forms, the research team designed a clinical decision support tool that is triggered when an electronic laboratory message is examined by the Regenstrief Notifiable Condition Detector. The system extracts data from the Indiana Health Information Exchange and fills in the information fields on the official state reporting form. The form is delivered to an ambulatory care clinic using the HIE network, acting as a reminder for the clinician or staff member to review and submit the form to the local health department.

“We know that filling out forms can be challenging for providers and their staff for many reasons,” said Shaun Grannis, M.D., M.S., senior author and vice president for data and analytics at Regenstrief. “Our solution facilitates public health reporting, which is crucial, while also allowing providers to do what they do best-providing care for their patients.” Dr. Grannis is also a professor of family medicine at Indiana University School of Medicine.


Study Outcomes/Results

They found that provider reporting rates for chlamydia and gonorrhea increased significantly in clinics using the HIE-generated forms, and completeness significantly improved for 4 of the 15 information fields on the reporting forms. Provider reporting rates for chlamydia and gonorrhea in intervention clinics increased significantly from 56.9% and 55.6%, respectively, during the baseline period (2012) to 66.4% and 58.3%, respectively, during the intervention period (2013-2014); they decreased from 28.8% and 27.5%, respectively, to 21.7% and 20.6%, respectively, in control clinics (P < .001). 

In addition, 75 percent of cases reported by intervention clinics contained a prepopulated form, which indicates that clinics are willing to use the tool. Timeliness improved for both intervention and control clinics; however, reports from control clinics were timelier (mean, 7.9 days) than reports from intervention clinics (mean, 9.7 days).

The research team stressed the importance of continuing to build better integration between clinical and public health information systems. “As demonstrated by the COVID-19 pandemic, timely and complete reporting is crucial to enable quick response to outbreaks that threaten the health of the public,” said Dr. Dixon. “As we continue to track the spread of COVID-19 and other diseases, interoperability will play a key role in informing decisions. The healthcare field must continue to push forward in its effort to refine technical and workflow processes to make public health surveillance more efficient.”

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Tagged With: decision support, Health Informatics, health information exchange, Health Information Exchanges, Health IT Interoperability, HIE, HIEs, interoperability, PhD, Public Health

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