Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://pubmed.ncbi.nlm.nih.gov/28749314/ below:

Designing Health Information Technology Tools to Prevent Gaps in Public Health Insurance

Affiliations

• ¹ . haljenni@ohsu.edu.
• ² . roselharding@gmail.com.
• ³ . devoej@ohsu.edu.
• ⁴ . Rachel.Gold@kpchr.org.
• ⁵ . angierh@ohsu.edu.
• ⁶ . sumica@ochin.org.
• ⁷ . nelsonc@ochin.org.
• ⁸ . likumahu@ohsu.edu.
• ⁹ . cohendj@ohsu.edu.

• PMID: 28749314
• DOI: 10.14236/jhi.v24i2.900

Item in Clipboard

Jennifer D Hall et al. J Innov Health Inform. 2017.

• ¹ . haljenni@ohsu.edu.
• ² . roselharding@gmail.com.
• ³ . devoej@ohsu.edu.
• ⁴ . Rachel.Gold@kpchr.org.
• ⁵ . angierh@ohsu.edu.
• ⁶ . sumica@ochin.org.
• ⁷ . nelsonc@ochin.org.
• ⁸ . likumahu@ohsu.edu.
• ⁹ . cohendj@ohsu.edu.

• PMID: 28749314
• DOI: 10.14236/jhi.v24i2.900

Item in Clipboard

Background: Changes in health insurance policies have increased coverage opportunities, but enrollees are required to annually reapply for benefits which, if not managed appropriately, can lead to insurance gaps. Electronic health records (EHRs) can automate processes for assisting patients with health insurance enrollment and re-enrollment.

Objective: We describe community health centers' (CHC) workflow, documentation, and tracking needs for assisting families with insurance application processes, and the health information technology (IT) tool components that were developed to meet those needs.

Method: We conducted a qualitative study using semi-structured interviews and observation of clinic operations and insurance application assistance processes. Data were analyzed using a grounded theory approach. We diagramed workflows and shared information with a team of developers who built the EHR-based tools.

Results: Four steps to the insurance assistance workflow were common among CHCs: 1) Identifying patients for public health insurance application assistance; 2) Completing and submitting the public health insurance application when clinic staff met with patients to collect requisite information and helped them apply for benefits; 3) Tracking public health insurance approval to monitor for decisions; and 4) assisting with annual health insurance reapplication. We developed EHR-based tools to support clinical staff with each of these steps.

Conclusion: CHCs are uniquely positioned to help patients and families with public health insurance applications. CHCs have invested in staff to assist patients with insurance applications and help prevent coverage gaps. To best assist patients and to foster efficiency, EHR based insurance tools need comprehensive, timely, and accurate health insurance information.

Keywords: Community Health Centers; Electronic Health Records; Insurance; Medicaid.

PubMed Disclaimer

• Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial.

  DeVoe JE, Huguet N, Likumahuwa-Ackman S, Angier H, Nelson C, Marino M, Cohen D, Sumic A, Hoopes M, Harding RL, Dearing M, Gold R. DeVoe JE, et al. Implement Sci. 2015 Aug 25;10:123. doi: 10.1186/s13012-015-0311-4. Implement Sci. 2015. PMID: 26652866 Free PMC article. Clinical Trial.

• Effectiveness of an insurance enrollment support tool on insurance rates and cancer prevention in community health centers: a quasi-experimental study.

  Huguet N, Valenzuela S, Marino M, Moreno L, Hatch B, Baron A, Cohen DJ, DeVoe JE. Huguet N, et al. BMC Health Serv Res. 2021 Oct 30;21(1):1186. doi: 10.1186/s12913-021-07195-5. BMC Health Serv Res. 2021. PMID: 34717616 Free PMC article.

• Implementation and adoption of a health insurance support tool in the electronic health record: a mixed methods analysis within a randomized trial.

  Hatch B, Tillotson C, Huguet N, Marino M, Baron A, Nelson J, Sumic A, Cohen D, E DeVoe J. Hatch B, et al. BMC Health Serv Res. 2020 May 15;20(1):428. doi: 10.1186/s12913-020-05317-z. BMC Health Serv Res. 2020. PMID: 32414376 Free PMC article. Clinical Trial.

• Electronic health record tools to assist with children's insurance coverage: a mixed methods study.

  DeVoe JE, Hoopes M, Nelson CA, Cohen DJ, Sumic A, Hall J, Angier H, Marino M, O'Malley JP, Gold R. DeVoe JE, et al. BMC Health Serv Res. 2018 May 10;18(1):354. doi: 10.1186/s12913-018-3159-x. BMC Health Serv Res. 2018. PMID: 29747644 Free PMC article. Clinical Trial.

• Designing health information technology tools for behavioral health clinicians integrated within a primary care team.

  Woodson TT, Gunn R, Clark KD, Balasubramanian BA, Jetelina KK, Muller B, Miller BF, Burdick TE, Cohen DJ. Woodson TT, et al. J Innov Health Inform. 2018 Oct 31;25(3):158-168. doi: 10.14236/jhi.v25i3.998. J Innov Health Inform. 2018. PMID: 30398459 Free PMC article.

• The Affordable Care Act: Effects of Insurance on Diabetes Biomarkers.

  Marino M, Angier H, Springer R, Valenzuela S, Hoopes M, O'Malley J, Suchocki A, Heintzman J, DeVoe J, Huguet N. Marino M, et al. Diabetes Care. 2020 Sep;43(9):2074-2081. doi: 10.2337/dc19-1571. Epub 2020 Jul 1. Diabetes Care. 2020. PMID: 32611609 Free PMC article.

• Medicaid coverage accuracy in electronic health records.

  Marino M, Angier H, Valenzuela S, Hoopes M, Killerby M, Blackburn B, Huguet N, Heintzman J, Hatch B, O'Malley JP, DeVoe JE. Marino M, et al. Prev Med Rep. 2018 Jul 27;11:297-304. doi: 10.1016/j.pmedr.2018.07.009. eCollection 2018 Sep. Prev Med Rep. 2018. PMID: 30116701 Free PMC article.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.3