Big Data, Data Mining Aspects, and Informatics in Nursing

Big Data, Data Mining Aspects, and Informatics in Nursing

Introduction

From a medical perspective, data collection and data mining play a critical in maintaining useful patient information and more convenient access and extraction. A large amount of data is referred to as big data, while the process of extracting that data through various patens is data mining. The method of data collection, analyzing, and leveraging patient’s physical and clinical data is referred to as big data. Big data is often processed using machine learning algorithms or a computer. The data collection and mining is critical in data mining is essential in the concept of continuity planning in instances such as disaster management. All these activities incorporate the use of advanced technology that is vital in healthcare education.

The information that is derived from big data helps the physicians and the healthcare management to prescribe treatment and make the right decisions with higher accuracy (Chu, 2014). Through the use of technical data that is available, it helps in eliminating guesswork while administering medication and lower cost as well as enhances patients care. Data mining is where extensive data set is analyzed, and patterns discovered and used to predict the possibility of events that might happen in the future (Chu, 2014). The paper will focus on the aspect of big data and data mining and the value it has to the healthcare, and describe the concept of continuity planning. Also, the paper will locate and discuss a healthcare article that highlights the benefits and drawbacks of using healthcare education technology.    

Aspects of Big Data and Data Mining

One point of big data and data mining is the sorting and storing the most critical data from vast volumes of data storage in a database and categorizing it; this concept of data storage and sorting information in a database helps healthcare to avoid duplication. Value is brought to healthcare where patient’s information is stored in an easily accessible database and categorized either by their names, treatment, or their identity cards (Chu, 2014).  Big data is a term for an enormous data catalog. Vast data collection is the data that is more than the straightforward kind of database, for example, the substantial set of information can be effectively dealt with by the use of spreadsheets in Microsoft excel, where this data can be eluded to as broad data indexes Mehta et al., (2019). When this data is stored and categorized in the right order, the process of data mining follows to enable the doctors or healthcare provides a search for the applicable data involving particular with a lot of ease. Data mining helps a healthcare provider to predict future trends as it signifies patient habits. Through data mining, an organization can make the necessary decision and reduce repetition, thus enhancing the quality of services offered in health care. In data mining, various types of programming bundles such as investigating devices can be utilized.

A hospital can reduce costs through big data and data mining; the big data gives an organization the ability to manage their client’s information where this information can be used to drive improvement in cost. Cost reduction can be identified with the insight from the big data analysis where the healthcare will identify the specific parts where value can be reduced either concerning the admission rates operation procedures or diagnostic tests. An organization through information can understand patients and their behaviors, which enable them to appropriately and effectively provide the required care for every one of their customers. The patient’s information is secure, and privacy observed through bid data and data mining. Through the disclosure of the new calculation, false data that can affect human services is disposed of while the credible data is stored and categorized.

The Concept of Continuity Planning

The process of creating a system in which an organization can prevent or recover from a potential threat is termed as continuity planning. Continuity planning allows an organization to proceed with its operation before and during effecting of disaster recovery. A good continuity plan enables an organization to endure environmental changes (Ojha & Gokhale, 2009). A successful continuity plan should allow an organization to continue the delivery of critical services and produces, thus allowing the institution to recover its facilities, assets, and information.

Essential operations and risks should be identified and a plan set to maintain and restore the services in times of crisis (Ojha & Gokhale, 2009). A manager of every organization should be able to identify the critical areas of the institution, the scope of the program, and create a plan to maintain operation by identifying dependencies between numerous business areas or functions. As a manager, one should plan a checklist, including supplies and data backup solutions; this can be achieved by contacting key personnel and backup site providers. The management department should improve its liquidity position by engaging in robust planning (Ojha & Gokhale, 2009). An accurate projection and evaluation of financial constrain should be performed in every healthcare in the planning process. Backup billing and collection services should be included in the plan before a disaster to acquire a speedy recovery. A manager should make sure that a comprehensive continuity plan, which provides for backup and alternatives, is planned and implement a schedule for re-testing and keeping the continuity plan up to date. A communication plan should be included when planning to make the organization communicate with other institutions in case of a disaster, and this can be achieved by maintaining updated important contact information such as significant staff phone numbers and insurance policies.

Acceptable downtime for the critical functions should be determined and created for the maintenance of operations. Staff should be cross-trained in the preparation of them taking over the roles of their co-workers in case of any disaster. A system status report and the facility should be developed for a quicker determination of replacement and repair. Give responsibility to specific people or organizations like the banks and the insurance companies. The director of every healthcare should ensure that data is backed up in various storages to help in the recovery in case of any loss; data may be stored in drives that include the hard disks or even through cloud internet storage. The management should come up with the program to educate its staff on how to handle crises and enable continuity. A director should analyze the impact of the organization, identify the recovery strategies, and organize a relocation plan. The organization continuity plan should be written, and a plan framework developed in preparation for disruption of the organization. One should identify and document resources based on the continuity plan, this will help in exploring recovery tactics options in case of any disaster. Lastly, the idea should be tested occasionally to measure its effectiveness.

Informatics in Healthcare Education

Informatics in nursing education helps the nurses in accessing resources like nursing reference centers, which provides them with trusted, evidence-based information in their practices. Informatics also simplifies communication where the technology allows the nurses to text email and conducts their research with a lot of ease. Through informatics, lives are saved; that is, with the help of tools like the telemetry and the automated blood pressure cuffs, which are considered to be informatics tools (Saba, 2013). Through technology, clinical errors are reduced, and the services given by the nurses improved. According to the article Healthcare, informatics and technology are here, and they’re here to stay published by yip (2014); informatics help in protecting the nurses through the electronic health records system; this is if the patient care activities are ever questioned Yip et al., (2014). The technology enables the nurses to increase efficiency; through the EHR, the nurses can answer questions and access the patient information faster quickly.

The informatics technology helps the nurses in the keeping of relevant patient information, where this data is recorded and stored for future reference (Saba, 2013). These platforms allow nurses to study online through the internet, where workloads are filed and intervened as a by-product of electronic charting. Informatics helps in improving documentation and the coordination of care. Important information is analyzed and leveraged effectively through this technology. Nurses can coordinate with their lecturers regardless of the distance through the use of the internet, workflow, and communication is simplified, thus improving the care given to patients. Informatics has made it possible for nurses to share knowledge, considering that the nursing field is a daily learning institution. The use of informatics has reduced cost and enabled patient participation; health informatics has created a sound communication system between nurses and doctors and allows them to share relevant information (Saba, 2013). Nurses feel involved and feel like a part of an institution through this technology.

The outcome has been improved through informatics; the storage and evaluation of health information help the nurses and the general public in saving time and money. Education through health informatics has dramatically boosted the nurses and the general public in getting the care needed at the comfort of their homes through the computers and the internet Yip et al., (2014). According to the article, the cost of learning has been reduced, and nurses from all backgrounds have a vested interest in increasing their visibility of nursing practices through informatics. The technology through the use of big data and e-measures has continued improving the safety and care of patients. The use of technology in nursing education has enabled many young people to enroll in this practice, thus reducing the nurse shortage that was experienced earlier (Saba, 2013). The nurses, through informatics, can give their patients all the information they require, thus creating a good relationship between them and improving the outcome and the patient’s satisfaction.

Conclusion

In conclusion, big data has played a significant role in the healthcare sector by providing nurses with quicker access to specific data and help in predicting daily passive income. Through big data, an institution can tailor staffing accordingly to curb the shortage and offer effective and efficient healthcare. The concept of data mining enables a healthcare sort and analyzes data quickly; this is done through the process that the data is stored, which may include EHR systems and the use of real-time where immediate care is needed.

The concept of continuity planning is essential for every organization to help in times of crisis. A good continuity plan will provide an alternative to the institution and reduce the risk of closure in case of any tragedy. Continuity enables an institution to have immediate action in times of disasters.

Informatics in nursing practice teaching helps to improve the quality of care given by the nurses and lower the treatment cost. Nurses can enroll in distance learning and get the help they may require from the tools in the informatics. Informatics has enabled a compelling and first communication between the nurses and the doctors making it easier for sharing knowledge. Due to technology changes, the nurses enrolling in the informatics healthcare are proving to be of great benefit to the public and are thriving in healthcare.

References

Chu, W. W. (2014). Erratum: Data Mining and Knowledge Discovery for Big Data. Studies in Big Data, 305-308. doi:10.1007/978-3-642-40837-3_10

Mehta, N., Pandit, A., & Kulkarni, M. (2019). Elements of Healthcare Big Data Analytics. Studies in Big Data, 23-43. doi:10.1007/978-3-030-31672-3_2

Ojha, D., & Gokhale, R. A. (2009). Logistical business continuity, planning‐scale development, and validation. The International Journal of Logistics Management, 20(3), 342-359. doi:10.1108/09574090911002814

Saba, V. K. (2013). A look at nursing informatics. International Journal of Medical Informatics, 44(1), 57-60. doi:10.1016/s1386-5056(97)01260-4

Yip, M. H., Phaal, R., & Probert, D. R. (2014). Stakeholder Engagement in Early Stage Product-Service System Development for Healthcare Informatics. Engineering Management Journal, 26(3), 52-62. doi:10.1080/10429247.2014.11432020