Electronic Health Record-Based Registries: Clinical Research Using Registries in Colon and Rectal Surgery

Overview

Journal Clin Colon Rectal Surg

Date 2019 Jan 17

PMID 30647550

Citations 1

Authors

Jacob Carlson

Jonathan Laryea

Affiliations

Soon will be listed here.

Abstract

Electronic health records (EHRs) or electronic medical records (EMRs) contain a vast amount of clinical data that can be useful for multiple purposes including research. Disease registries are collections of data in predefined formats for population management, research, and other purposes. There are differences between EHRs and registries in the data structure, data standards, and protocols. Proprietary EHR systems use different coding systems and data standards, which are usually kept secret. For EHR data to flow seamlessly into registries, there is the need for interoperability between EHR systems and between EHRs and registries. The levels of interoperability required include functional, structural, and semantic interoperability. EHR data can be manually mapped to registry data, but that is a tedious, resource-intensive endeavor. The development of data standards that can be used as building blocks for both EHRs and registries will help overcome the problem of interoperability.

Citing Articles

Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability.

Palojoki S, Lehtonen L, Vuokko R JMIR Med Inform. 2024; 12:e53535.

PMID: 38686541 PMC: 11066539. DOI: 10.2196/53535.

References

Schneeweiss S, Avorn J . A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol. 2005; 58(4):323-37. DOI: 10.1016/j.jclinepi.2004.10.012. View

Pascoe S, Neal R, Heywood P, Allgar V, Miles J, Stefoski-Mikeljevic J . Identifying patients with a cancer diagnosis using general practice medical records and Cancer Registry data. Fam Pract. 2008; 25(4):215-20. DOI: 10.1093/fampra/cmn023. View

DesRoches C, Campbell E, Rao S, Donelan K, Ferris T, Jha A . Electronic health records in ambulatory care--a national survey of physicians. N Engl J Med. 2008; 359(1):50-60. DOI: 10.1056/NEJMsa0802005. View

Steinbrook R . Health care and the American Recovery and Reinvestment Act. N Engl J Med. 2009; 360(11):1057-60. DOI: 10.1056/NEJMp0900665. View

Sequist T, Zaslavsky A, Marshall R, Fletcher R, Ayanian J . Patient and physician reminders to promote colorectal cancer screening: a randomized controlled trial. Arch Intern Med. 2009; 169(4):364-71. PMC: 2683730. DOI: 10.1001/archinternmed.2008.564. View

Dean B, Lam J, Natoli J, Butler Q, Aguilar D, Nordyke R . Review: use of electronic medical records for health outcomes research: a literature review. Med Care Res Rev. 2009; 66(6):611-38. DOI: 10.1177/1077558709332440. View

Jha A, DesRoches C, Campbell E, Donelan K, Rao S, Ferris T . Use of electronic health records in U.S. hospitals. N Engl J Med. 2009; 360(16):1628-38. DOI: 10.1056/NEJMsa0900592. View

Denny J, Peterson J, Choma N, Xu H, Miller R, Bastarache L . Extracting timing and status descriptors for colonoscopy testing from electronic medical records. J Am Med Inform Assoc. 2010; 17(4):383-8. PMC: 2995656. DOI: 10.1136/jamia.2010.004804. View

Jha A, DesRoches C, Kralovec P, Joshi M . A progress report on electronic health records in U.S. hospitals. Health Aff (Millwood). 2010; 29(10):1951-7. DOI: 10.1377/hlthaff.2010.0502. View

10.

Fisher D . Electronic medical records and improving the quality of the screening process. J Gen Intern Med. 2011; 26(7):683-4. PMC: 3138602. DOI: 10.1007/s11606-011-1722-9. View

11.

Kanas G, Morimoto L, Mowat F, OMalley C, Fryzek J, Nordyke R . Use of electronic medical records in oncology outcomes research. Clinicoecon Outcomes Res. 2011; 2:1-14. PMC: 3169956. DOI: 10.2147/ceor.s8411. View

12.

Lau E, Mowat F, Kelsh M, Legg J, Engel-Nitz N, Watson H . Use of electronic medical records (EMR) for oncology outcomes research: assessing the comparability of EMR information to patient registry and health claims data. Clin Epidemiol. 2011; 3:259-72. PMC: 3224632. DOI: 10.2147/CLEP.S23690. View

13.

Blumenthal D . Implementation of the federal health information technology initiative. N Engl J Med. 2011; 365(25):2426-31. DOI: 10.1056/NEJMsr1112158. View

14.

Xu H, Fu Z, Shah A, Chen Y, Peterson N, Chen Q . Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases. AMIA Annu Symp Proc. 2011; 2011:1564-72. PMC: 3243156. View

15.

Tripathi M . EHR evolution: policy and legislation forces changing the EHR. J AHIMA. 2012; 83(10):24-9. View

16.

Miriovsky B, Shulman L, Abernethy A . Importance of health information technology, electronic health records, and continuously aggregating data to comparative effectiveness research and learning health care. J Clin Oncol. 2012; 30(34):4243-8. DOI: 10.1200/JCO.2012.42.8011. View

17.

Atherton J . Development of the electronic health record. Virtual Mentor. 2012; 13(3):186-9. DOI: 10.1001/virtualmentor.2011.13.3.mhst1-1103. View

18.

Edinger T, Cohen A, Bedrick S, Ambert K, Hersh W . Barriers to retrieving patient information from electronic health record data: failure analysis from the TREC Medical Records Track. AMIA Annu Symp Proc. 2013; 2012:180-8. PMC: 3540501. View

19.

Hersh W, Weiner M, Embi P, Logan J, Payne P, Bernstam E . Caveats for the use of operational electronic health record data in comparative effectiveness research. Med Care. 2013; 51(8 Suppl 3):S30-7. PMC: 3748381. DOI: 10.1097/MLR.0b013e31829b1dbd. View

20.

Kurian A, Mitani A, Desai M, Yu P, Seto T, Weber S . Breast cancer treatment across health care systems: linking electronic medical records and state registry data to enable outcomes research. Cancer. 2013; 120(1):103-11. PMC: 3867595. DOI: 10.1002/cncr.28395. View