Introduction
Data is helpful for decision-making. Policymakers and organizations in the economy use it to make plans. Healthcare providers will collect data from patients and clients interested in health services. Healthcare providers are dealing with an explosion in healthcare data.
Healthcare providers are collecting data at a higher rate than the entertainment, media, and financial services sectors. Healthcare providers are integrated into other organizations with similar issues using information communication technology. They use computerized systems to keep electronic health records, which will help provide real-time patient results. When organizations use an electronic system, patients’ outcomes will improve, and operations will improve. Data mapping in the healthcare industry will be used to share data collected from different sources. The data from the mapping project will be used for analysis, forecasting, and drug trials.
Every organization has data integration strategy goals that will ensure a continuous flow of data from one system to another and ensure data security. The data should flow in the systems based on the set procedures. However, data integration is challenging, and the consequences of wrong data integration will arise.
There are three formats in the healthcare services provider include;
- HL7 version 2.x
- HL7 Version 3. x (Continuity of Care Document-CCD)
- C-CDA (Consolidated- Clinical Document of Architecture)
Data Integration
Data integration is merging data from different sources to provide users with a unified view. Data integration will result in data consolidation from distinct sources to a single system to provide users with complete and consistent data for different uses. When the data is integrated, it becomes easy to consume and freely avail it to the users. Data integration will improve decision-making because of the availability of real-time data (Dhayne et al., 2019). It can also enhance the services provided to customers and other clients in healthcare services.
Data Integration Plan for Green Tree Healthcare
Data integration will help flow data from one system to another. Data integration strategies will ensure that the data flow is secure, easy, and follows the appropriate procedures. The organization needs to set a data integration plan because data integration has challenges and is time-consuming. Green Tree Healthcare should understand what procedures are in place in the system and the likely changes that will occur in the future.
Green Tree Healthcare must prepare a data integration plan to help the company comply with HIPAA obligations. It will be required to set the plan to support its migration from ICD-9 to ICD-10. The change occurs after all healthcare providers’ deadlines to migrate their data. According to the regulation, the ICD-9 code will be irrelevant and obsolete. ICD-9 codes have inadequate clinical accuracy in the diagnosis codes as defined by the Centers for Medicare & Medical Services. Therefore, the code will not satisfy the demand of healthcare data users. Several opportunities will arise from the ICD-10 code, such as the capacity for future revisions without affecting present numbering. ICD-10 new codes will represent the changes brought on by medical advances and medical terminology updates (Mainor et al., 2019). The new codes in ICD-10 are more expanded than those in ICD-9.
Data Mapping and Data Mapping Plan
Data mapping is the process of integrating healthcare data from different systems into a single platform. It is essential because it will be used for analysis, case studies, and forecasting. The integrated information will improve healthcare services and help maintain the patient’s health records and drugs provided by the healthcare providers. Data mapping will also help reduce healthcare providers’ struggles to integrate systems through HER interoperability.
Challenges of Data Mapping and Consequences of Inappropriate Data Mapping
Challenges of Data Mapping.
Data mapping is faced with several challenges that will impact the integrated data. Healthcare services are dynamic, and there are different changes in healthcare technology every day. The data collected will change. The data collected on the patient’s ethnicity will vary depending on how the patients are classified during the government census. Sometimes, healthcare service providers with more interrelated departments may use technology to integrate or combine the departments into one.
When healthcare service providers want to integrate the entire data environment, the work is likely to be tiresome (Clark et al., 2019). The consequence of this challenge is the employment of an IT team that can create automated interviews, which can be used for follow-ups, reminders, and updating pre-scheduled questionnaires. Healthcare service providers are acquiring modern technology to help automatically provide services. The technology will scan and identify personal data to create a complete map for quick transmission.
Building a comprehensive data map is impossible because there are no set standards for data across the medical field, and the data set will constantly change. The changes in the data set will make data mapping complex, and many organizations will need to be in a position to integrate their data with other service providers.
Consequences of Inappropriate Mapping
When there is inappropriate mapping, there is difficulty in complying with rules and regulations. It is also impossible to prepare e-discovery and data privacy requirements. Therefore, the consequence will be the failure to create a data inventory that can help in product briefs.
The second consequence is that it will be hard for healthcare service providers to interact and use data maps to provide the services. There is also the likeliness of collecting insufficient data. Inappropriate mapping will cause data redundancy and failure to update data.
Implementation Plan
Introduction
Healthcare service providers are changing from using the ICD-9 code data mapping system to the ICD-10 coding system. The providers will be required to identify individuals to be educated, the knowledge level, and the steps applicable for successful implementation.
Tasks for Implementation
The following tasks for the implementation plan include evaluation of educational needs through separating the roles into two groups. It is essential to determine the group that primarily assigns codes and the other group that primarily does not assign codes.
The second task is to learn about the structure, organization, and characteristics of ICD-10 and assign the codes to the group that requires coding. ICD-coded data will impact the roles that do not require the assigning of principles. However, the coding system will not be responsible for the initial code selection. The assignment of the codes is performed by health information management (HIM).
The next is to provide the coders the opportunity to review the code structure and coding conventions for ICD-10. The organizers will be required to develop a budget that will be based on the impact of the assessment.
There is a need to evaluate the coding staff to determine their strengths and weaknesses in coding biomedical science data. After identification of their strengths or weaknesses, the developers need to document the improvement process.
Acceptance Criteria
The acceptance criteria of ICD-10 codes are defined by the regulations in the health information management system. HIM classifies and identifies the criteria that will be used to implement the codes.
Privacy and Security
The implementation of ICD-10 will help in data privacy because it will contain the codes that are to be implemented by the experts in the healthcare service provides. It will ensure that the data code can only be read by authorized personnel. The data stored and mapped to other institutions is secure because of the security features created in the system.
Recommendation
Recommendation for Revision
ICD-10 is recommended because it will help to make changes to the old data and updating it without the need of deleting previous work.
It will help in clear definition of data and help in mapping the data based on the category of the data. It will also help in implementing the recent development in medical sciences.
Recommendation for Policy Analysis
The code system is recommended because it will help in policy analysis. It will capture new data and update the old data which will make it easier in policy making. The current policies are requiring the use of ICD-10 codes in data mapping, and therefore, its implementation will be very useful to policy makers.
Conclusion
Data integration and mapping are very important in the organization because they help improve decision-making. The integrity of data will be enhanced through data mapping and will ensure that there is data security. However, a data map can only be created when the data is complete. The new rules and regulations in healthcare are compelling providers to integrate data into the new system code (ICD-10 code). The new code has features that ensure that the changes in the system can be implemented without affecting data integrity.
References
Clark, J. M., Utter, G. H., Nuño, M., Romano, P. S., Brown, L. M., & Cooke, D. T. (2019). ICD-10-CM/PCS: potential methodologic strengths and challenges for thoracic surgery researchers and reviewers. Journal of Thoracic Disease, 11(Suppl 4), S585.
Dhayne, H., Haque, R., Kilany, R., & Taher, Y. (2019). In search of big medical data integration solutions-a comprehensive survey. IEEE Access, 7, 91265-91290.
Mainor, A. J., Morden, N. E., Smith, J., Tomlin, S., & Skinner, J. (2019). ICD-10 Coding Will Challenge Researchers-Caution and Collaboration May Reduce Measurement Error and Improve Comparability Over Time. Medical care, 57(7), e42.
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