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Short Paper: Technology and Data Extraction Techniques Tiffani Saylor Southern New Hampshire University

SHORT PAPER

2 Technology and Data Extraction Techniques

By using health information exchange (HIE) it can used to cut medication and medical errors by improving patient safety and quality, eliminating healthcare waste and decrease cost by trying to avoid duplicate testing and provide better support tools, and improving public health by reporting and monitoring (HealthIT.gov, 2017). These benefits can only be used when the chosen technologies are provided for interoperability between the physicians and electronic health record (EHR) systems to collect, extract, and analyze the data.

Central clinical data repository (CDR) is something that is used to allow a single point of entry to data, this can make it much easier in securing it’s individual servers that are in hospitals and physician offices and where the response time is usually very minimal. CDRs use a common format and terminology of data in order to make it easier when looking for information (American Health Information Management Association, 2016, p.454). A (RLS) record locator service can also be used however, it doesn’t store information in a specific location, but it does point to where they may be able to find the information this can be good to use also with CDRs. While providers and organization can use RLS when a question is made, they are able to send the request to any systems and receive returns with results which can be used for retrieval and viewing.

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The best way to extract data from hybrid HIE models in a query-based exchange. The best way this can be done is by giving providers the ability to request or find patient information from other providers and is usually used for unplanned or emergency care. This can be something that may happen if a patient goes to a facility that is not their original provider, they can get the information they needed, simply by contacting the other provider so that they can do treatment (HealthIT.gov, 2019). How this is done is the physician or provider can enter key patient information in order to find the patients record that they need. The most common place for this to be done is through an emergency room physician they can use the query-based exchange to get the patient information for this such as pre-existing conditions, treatment history, medications, avoids making duplicate records, and also avoids any drug errors that could happen (AHIMA, 2016, p, 461).

Hybrid HIE models use both centralized and decentralized models that can be used in CDR’s. Centralized models use the data and make it into a common format with technology that may have different data repositories, such as using radiographic imaging. While decentralized models have current data in each electronic medical record, and higher security for the patient records that exist in within the systems of the most recent individual. With decentralized models’ analysts work for different departments. These CDR’s can sometimes result in duplicate data this makes it harder for providers to find the most accurate information unless they use a (MPI) master patient index. Master patient index (MPI) is a database that can be created and maintained by the healthcare systems in order to record and identify the name and ID number of all patients who were admitted or treated (AHIMA, 2013). MPI’s can be found through the facility and other patient setting and even often be shared through other providers if needed to cut back on having

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duplicate records. A process is needed in order to compare key data such as the patients name, sex, race, date of birth, and other information to avoid the system from adding similar patients’ records into one where this at times could often lead to a mistake and have duplicate records or even get the wrong patient information that may have a similar name. A good example of this would be, two patients with the name John Smith but have different birthdates they shouldn’t be placed together, instead the information should be put in a separate record and be sure that they did not merge the two records which could results in many problems. So, all patient information should be carefully reviewed before input because if two patient have the same name you want to be sure you are treating the right patient and make sure all information is correct such as birthdate or other demographic information.

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AHIMA. (2013). Health information management: Concepts, principles, and practice (4th ed.) Chicago, IL: Author.

AHIMA. (2016). Health information exchange. In Health information management: Concepts, principles, and practice (5th ed., pp. 449-477). Chicago, IL: Author.

Bresnick, J. (n.d.). How health information exchange models impact data analytics. Retrieved from https://www.healthitanalytics.com/news/how-health-information-exchange-models-impactdata-analytics

HealthIT.gov. (2017, October 12). HIE benefits. Retrieved from https://www.healthit.gov/topic/health-it-basics/hie-benefits

HealthIT.gov. (2019, May 14). What are the different types of health information exchange? Retrieved from https://www.healthit.gov/faq/what-are-different-types-health-informationexchange

Oachs, P. K., & Watters, A. (2016). Health information management: Concepts, principles, and practice. Chicago, IL: AHIMA, American Health Information Management Association.

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Rhodes, H. B. (2006). Privacy and security challenges in HIEs: Unique factors add new complexities to familiar issues. Journal of AHIMA, 77(7), 70-71, 74. Retrieved from http://bok.ahima.org/doc?oid=65085#.WJiNgKMo6Ul

Staheli, R. (2015, April 30). Healthcare Reporting: Centralized vs. Decentralized. HealthCatalyst. Retrieved from https://www.healthcatalyst.com/healthcare-reporting-centralizedvs-decentralized#:~:text=Decentralized%20Model,approaches%20to%20analytics%20and %20reporting.&text=In%20a%20decentralized%20model%2C%20the,the%20attention%20of %20the%20analysts....