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2-2 Short Paper: Technology and Data Extraction Techniques
HIM 350
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Technology lies in the central position of Health Information Exchange systems and
ensures that these systems effectively serve the intended purpose in healthcare settings. One
of the main technical requirements of HIE is related to architectural models and data source
integration. The architecture that is adopted mainly influences how data and information
flow within the system and meets the needs of the users. Repositories and registries also
serve as important technologies that ensure that the involved organizations are able to share
health-related data in an efficient and convenient manner. An Enterprise Master Patient
Index (EMPI) acts as a key technology that helps to maintain data about each and every
patient in an accurate and consistent manner (DelVecchio & Holman, 2017). Another
important technology that would be required while working on the new HIE system is
Record Locator Service (RLS). Its main function would be to provide the ability to identify
the location where records are situated, based on criteria like person ID, and/or record data
type. There is also the need to focus on technologies relating to the security and privacy
aspects relating to the new HIE system. As the HIE system would be connected to diverse
source systems, the adoption of a robust cybersecurity framework would be integral. Thus,
antivirus software, firewalls, and/or intrusion detection and prevention systems could be
integrated so that the possibility of malicious actors to violate and invade the network could
be restricted considerably (Health Information Exchange functionality and technology, 2014).
Apart from these security tools, blockchain technology, could also be incorporated so that
the level of security, privacy, and interoperability of the healthcare data could be further
strengthened (Esmaeilzadeh & Mirzaei, 2019).
Extraction of data from the technologies using the Hybrid HIE model
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The Hybrid HIE model would play a cardinal role by impacting the data extraction
process from the identified HIE technologies. The hybrid architecture would influence the
data extraction by mainly relying on the use of care coordination as well as population
health management instruments (Bresnick, 2015). For example, a matching engine such as a
master patient index would be used that would help to not only extract data from a
centralized data warehouse but to also manage admission, discharge as well as transfer-
related data. All the data under this HIE model would be interconnected with the centralized
infrastructural elements. The data would be mainly extracted from the central repositories,
and the information would be added to the Electronic Health Records (EHR) data so that it
could be effectively and strategically used by member hospitals belonging to the network.
Both the centralized and decentralized attributes of the new HIW model would come into
play and influence the extraction of health-related data. The specific data types that would
be extracted from the centralized infrastructural components include patient identifiers,
diagnoses, procedures and protocols, details relating to medication, laboratory results, etc.
(Ehrenstein et al., 2019). The coordination aspect of the hybrid HIE model would also
ensure that the physicians and doctors are able to use the Record Locator Service for
locating as well as accessing patient information that has been shared by member hospitals
within the network.
Analysis of data
The proper analysis of data from the identified technologies would be of cardinal
importance so that it could be transformed into insightful and useful information. In order to
make sure the new HIE system is able to function optimally, the focus on advanced
analytics at diverse levels would be integral. In fact, it would have a direct implication on
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the improved health outcome of the patients as well as the core objectives of the healthcare
organization (HIE data and an analytics platform: A key to PHM Goals. Health Catalyst,
2021). While performing the data analysis, the role of centralized components of the model
would play a key role as it would help to get a comprehensive insight into the information
that is available within the system. An important aspect that must be taken into consideration
while analyzing the data is high-quality data quality reporting. Suitable reporting quality
measures would have to be established so that the input from all the players from within the
network, which form a part of the centralized component, is able to function in a
streamlined manner. The application of Master Patient Indexes (MPI), as well as integrated
terminology management tools, would be vital to clean and normalize health data for the
purpose of analytics and reporting. cc In order to analyze the health data comprehensively, the
data analysis process must be conducted at the source, in the network, and at the end-point
as well. Such a comprehensive analysis could strengthen the role of the HIE system in the
healthcare setting.
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References
Bresnick, J. (2015, February 19). How Health Information Exchange Models Impact Data
Analytics. HealthITAnalytics. Retrieved November 8, 2021, from
https://healthitanalytics.com/news/how-health-information-exchange-models-impact-data-
analytics.
DelVecchio, A., & Holman, T. (2017, August 10). What is Enterprise master patient index
(EMPI)? - definition from whatis.com. SearchHealthIT. Retrieved November 8, 2021,
from https://searchhealthit.techtarget.com/definition/master-patient-index-
MPI#:~:text=An%20enterprise%20master%20patient%20index,registered%20by%20a%2
0healthcare%20organization.&text=An%20EMPI%20ensures%20that%20every,all%20sys
tems%20of%20hospital%20data.
Ehrenstein, V., Kharrazi, H., Lehmann, H., & Taylor, C. O. (2019). Obtaining Data From
Electronic Health Records. In Tools and Technologies for Registry Interoperability,
Registries for Evaluating Patient Outcomes: A User’s Guide, 3rd Edition, Addendum 2
[Internet]. Agency for Healthcare Research and Quality (US).
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Esmaeilzadeh, P., & Mirzaei, T. (2019). The potential of blockchain technology for health
information exchange: experimental study from patients’ perspectives. Journal of
medical Internet research, 21(6), e14184.
Health Information Exchange functionality and technology. (2014). Retrieved November 8,
2021, from https://chimecentral.org/wp-content/uploads/2014/11/Health-Information-
Exchange-Functionality-and-Technology-Selection-Crite....pdf.
HIE data and an analytics platform: A key to PHM Goals. Health Catalyst. (2021, August
3). Retrieved November 8, 2021, from https://www.healthcatalyst.com/insights/HIE-data-
analytics-platform-key-phm-goals/.
