Importance of Data Integration


As healthcare organizations (HCOs) begin to utilize disparate systems increasingly for data input, storage and analysis, they require greater integration and interoperability between various systems. Describe the various systems impacted and why data integration is important. What are the key issues--both to data systems internal and external to the enterprise?

As electronic health records (EHR) become the more accepted de facto standard of health information storage. One issue remains constant which is semantic interoperability. The question of how do we integrate all the systems used in health care to communicate internally as well as externally to the benefit of the patient’s continuity of care has yet to be answered. Although there are many benefits to having a fully integrative EHR such as cost reduction, and improved quality of care. Interoperability remains to be a major issue for not only health care organization, but the vendors that supply the EHR.

How do we make our systems talk? Are the systems we currently have fully integrative? Are our investments in health information technology (HIT) beneficial to the organization, stakeholders, and most importantly patients? These are questions organizations need to ask before implementation. Cantwell and Mcdermott (2016), identify these kinds of questions to be fundamental in determining where organizations stand with regards to organizational investments in technology. Moreover, they argue that the current lack of interoperability can compromise patient care and reduce goals for population health management (Cantwell and Mcdermott, 2016). The idea behind HIT is to aid in patient care and improve public health. The lack of interoperable systems delays the process of improved public health and increases cost for investors.

According to Zimlich and Futrell (2015), vendors of EHR’s are holding patient data “hostage”, and the reason being is lack of interoperable guidelines. Under the Health Information Technology for Economic and Clinical Health Act (HITECH), and the development of meaningful use incentive program to assist providers in implementing EHR’s. The act failed to address interoperability guidelines that would have enabled vendors to develop solutions for EHR’s to communicate information amongst multiple platforms during phase one of meaningful use guidelines (Zimlich and Futrell, 2015). In turn not only are organizations investing in annual and monthly updates, but now they have to invest in proprietary costs to allow systems to communicate. Moreover, other healthcare information systems are being affected and without a solution costs of HIT can only be expected to increase.

Laboratory information systems (LIS) are amongst the various systems that require interoperable interfaces with EHR’s in order to meet meaningful use requirements under phase two. LIS is a crucial system in health care and can help with improving quality of care as well as reducing turnaround time. The major issues these systems face are similar to EHR’s and are related to vendor proprietary requirements and immature standards limiting vendors from creating fully integrative systems that can communicate with other healthcare systems (Shmidt, 2015).

The lack of coordination between systems is a major challenge for data systems internal and external to the enterprise. Without a standardized solution to developing systems that can communicate semantically. Healthcare organizations will continue to pay large costs in HIT expenses. Moreover, the healthcare industry will not see the full effects of cost reduction, improved public health outcomes, and effective continuity of care until there is a standardized guideline for interoperability.

References:

Cantwell, E., & McDermott, K. (1016). Making technology talk how interoperability can improve care, drive efficiency, and reduce waste. Retrieved from: http://medicalinteroperability.org/making-technology-talk-how-interoperability-can-improve-care-drive-efficiency-and-reduce-waste/

Schmidt, M., & Futrell, K. (2015). What should lab directors consider when evaluating lis options. Retrieved from: http://www.mlo-online.com/what-should-lab-directors-consider-when-evaluating-lis-options.php

Zimlich, R. (2015). EHR vendors are holding patient data ‘hostage,’ tech expert says. Retrieved from: http://medicaleconomics.modernmedicine.com/medical-economics/news/ehr-vendors-are-holding-patient-data-hostage-tech-expert-says


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