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Technology is being used and applied in all the business areas and sectors. There are technical tools and components that are being increasingly used and applied so that the technical advancement is reflected in the business activities and operations that are carried out. There are several elements of technology in the form of tools, processes and procedures that are used. The information sets that are associated with an organization or a business are also handled as per the elements and components of technology.
There are massive sets of information that are associated with any of the business organization and sector. These information sets are required to be managed and handled in such a manner that the utility of these sets is maximum. In order to do so, there are technical tools and mechanisms that are applied to extract and understand the patterns and trends that are associated with these information sets. A number of analysis techniques and approaches are applied for this purpose. One such approach is the predictive analysis approach which is being increasingly applied in the field of healthcare to understand and reveal the associated trends and patterns (Hartzband and Jacobs, 2016).
Healthcare is one of the most significant and integral part of any country. It is necessary that the latest practices and activities are used and applied in the field of healthcare to attain maximum benefits and advantages. There is a lot of information that is associated with the healthcare organizations and firms. The healthcare service delivery and the other operations that are carried out have a lot of reliance on these information sets (Kwon, Lee and Kim, 2017).
It is, therefore, required that an adequate research and analysis is carried out on the information sets so that the associated trends, statistics and patterns can be understood. The purpose of the research is to identify the processes and methods that may be used in the field of healthcare service delivery for information analysis and discovery of the patterns.
The following research questions will be answered in the process of research that is carried out on the topic as predictive analysis in healthcare service delivery.
There are different types of approaches and techniques that may be followed in the area of analysis.
Descriptive analysis is a technique that is used and applied in the area of information and data analysis that involves the description of the information and data sets. This form of analysis simply shows what the data all about is and explains the details of the same. The quantitative descriptions and explanations that are associated with the data are explained in a manageable form.
For instance, there are a number of clinical codes that are used in the field of healthcare service delivery. In the process of descriptive analysis, these codes are analyzed and the description of the same is presented. The technique makes use of data mining operations along with data aggregation to provide an insight in to the past operations and activities that have taken place.
Prescriptive analysis is a technique that is used and applied in the area of information and data analysis by making use of simulation and optimization algorithms to forecast the future outcomes of the actions. This form of analysis looks in to the set of operations and activities that have taken place in the past and also recommends the steps of action that shall be executed in the future.
There are a number of technical tools and applications that are used in this area. For instance, in the field of healthcare service delivery, there may be prescriptive analysis that may be applied in the diagnosis and treatment of a certain health condition, such as, Cancer. The processes that have already been taken are analyzed and the ones that shall be used for the proper treatment also get highlighted after the application of this analysis technique.
Predictive analysis is a technique that is used to apply the statistical methods and forecasting to predict the results of the future operations and activities. The technique analyzes the data and information sets to come up with the answers to the questions on what might happen in the future. These results are retrieved on the basis of various analysis operations that are carried out and used in this research method (Ryu, 2013).
In the field of healthcare service delivery, there is a lot of requirement of adequate research and analysis to understand the behavior of the operations and activities. For instance, in case of the treatment of the disease by making use of a certain drug, the medical professionals must be sure on the after effects of the drug on the patient. The predictive analysis technique can therefore be used in this area to identify the effects of the drug on different patients on the basis of their age, gender, other health conditions and likewise.
There are business operations and activities that cannot be executed only by the application of one analysis technique and approach.
It is often required that the multiple analysis techniques are used and applied to obtain the desired outcomes. In case of healthcare service delivery, this can be made possible by applying the combination of descriptive, prescriptive and predictive analysis methods to come up with the required results and details. This form of analysis method and technique is termed as the hybrid approach or the hybrid method of analysis.
Healthcare service delivery is a business operation and activity that is composed of a number of data and information sets.
Predictive analysis is a technique that is used to apply the statistical methods and forecasting to predict the results of the future operations and activities. The technique analyzes the data and information sets to come up with the answers to the questions on what might happen in the future.
These results are retrieved on the basis of various analysis operations that are carried out and used in this research method. In the field of healthcare service delivery, there is a lot of requirement of adequate research and analysis to understand the behavior of the operations and activities. For instance, in case of the treatment of the disease by making use of a certain drug, the medical professionals must be sure on the after effects of the drug on the patient. (Hoch and Karpati, 2013) The predictive analysis technique can therefore be used in this area to identify the effects of the drug on different patients on the basis of their age, gender, other health conditions and likewise.
Predictive analytics primarily revolves around the data analysis and the manipulation of the variables so that the forecasting capabilities can be developed and carried out from the existing data sets. The reliance of this form of analysis technique is primarily on the variables that can be measured along with the manipulation of the metrics for the prediction of the future behavior and outcomes.
There are a number of components and entities that are combined in a predictive analysis model that includes a number of different predictors along with the measurable variables. In this analysis technique, the data can be collected from different data sources which leads to the formation of a statistical model. There can be addition or modification of the existing data that can be done as an outcome (Goodnight, 2011).
The accuracy of the results depend upon the data type and data sets that are used. For instance, in case of the presence of the real-time data sets, the accuracy of the results will increase. Similarly, in case of the presence of huge volumes of data sets with valid data properties, the changes are that the results will be accurate.
In the field of healthcare service delivery, the data sources that can be used may include the information collected from the medical team and medical professionals, patient details and information, medical codes and medical treatment services that are applicable, market data and information, information from the legacy systems and the medical documents and reports (Rana et al., 2015). There are business intelligence techniques such as data analysis and data mining that are applied to the information sets that are collected from different sources of data.
In the next step, a predictive analysis is carried out on the data and information and the same leads to the occurrence of the results and outcomes.
There are a number of predictive analysis tools that can be used and applied in the area of healthcare service delivery.
There are a number of challenges that may be associated with the use and application of predictive analysis in the field of healthcare service delivery.
One of the primary considerations that shall be involved in any of the analytics methods and solutions is the data quality. There are a number of data sets and information categories that are associated with any sector and these sets determine the accuracy of the results and their quality. Of the data sets are of poor quality then the results are also not accurate and vice versa. In case of predictive analysis, there is too much focus on the data and information sets that are collected. There is often a lot of time that goes in the grooming and cleaning of these data and information sets. There are predictive analysis tools that are in place which can identify the data that is usable and the one that is not. However, the data quality may get adversely impacted in case of the presence of inaccurate data (Sathiyavathi, 2015).
An organization that want to make use of data driven decision making models and abilities shall be able to access the relevant sets of data associated with a number of activities. There are also Big Data sets that are associated with the organizations. In case of predictive analysis, there are a number of predictors that are used and applied. However, there are often human behavior and involvement that are not included in the prediction of the results.
There is a lot of change that is taking place in terms of the technology and the customer behavior. A predictive data model that may have been successful at a certain point of time may not be successful or applicable after certain time period. It is necessary to make sure that the predictive analysis techniques are regularly updated so that the information and results that are obtained are valid at all points of times.
There are a lot of data and information sets that are associated with the process of predictive analysis. These data and information sets need to be stored and managed in a secure manner. However, there are malevolent entities that attempt to execute data and information security risks and attacks on these data sets. There are attacks in the form of information and data breaching, loss and leakage of the information and data sets along with the network related security attacks and risks. These risks and occurrences may lead to the adverse impact on the security and privacy of the data sets which may also deteriorate the information properties, such as, confidentiality, integrity and availability of the information (Paulson and Scruth, 2017).
There are methods that the medical team members can use for increasing the accuracy of diagnosis. For instance, if a patient comes to the ER section complaining of chest pain, It is difficult to estimate whether the patient shall be hospitalized or not. However, with the use and application of a predictive analysis tool, the doctors can understand and test the condition of the patient to decide whether the patient can be sent home safely or shall be hospitalized. These predictions assist the medical professional in their decision making abilities.
There are also a number of health conditions and symptoms that are sometimes not sufficient for the medical teams and professionals to reach to a conclusion in terms of the identification of the disease. The use of predictive analysis tools will add to the accuracy and ease of diagnosis (Ogwueleka, 2010).
If the diseases are diagnosed and identified in the early stages, there can be a higher degree of prevention that may be used and applied. The use of predictive analysis will assist the doctors to identify the patients that are at risk of developing certain health conditions and symptoms.
The occurrence and the likelihood of the disease and different health conditions may also depend upon the area, region and community. It is troublesome for public health centers to identify these areas and come up with preventive medicine (McCue, 2006).
However, with the use of predictive analysis tools, the development and understanding on the preventive medicine will increase.
Evidence based medicine is one of the growing trends in the field of healthcare and is being used by the medical team and professionals from all across the globe. However, this form of health diagnosis and treatment is largely based upon the information and data that is provided by the patients. There are also occurrences wherein the patients do not provide adequate information which makes it difficult for the doctors to carry out the treatment procedures (Soni, 2010).
Predictive analysis tools are used for the better understanding of the information and data sets that are provided by the patients.
Medical costs can go up to significantly high numbers for the employers that provide medical benefits to their employees. These benefits are also provided by the hospitals and medical health centers in certain cases. It is necessary for the organizations and medical health centers to have an idea of the medical costs and the mechanisms that they may use to minimize these costs (Syed-Abdul, Iqbal and (Jack) Li, 2017). The companies and hospitals can integrate the data sets that are available with them to come up with the predictions on the best possible health plan that may be provided to the employees that may lead to the benefit of all the parties involved. These predictions shall be based upon the health signs and conditions along with the various details of the medical field.
There are a number of components and entities that are combined in a predictive analysis model that includes a number of different predictors along with the measurable variables. In this analysis technique, the data can be collected from different data sources which leads to the formation of a statistical model. There can be addition or modification of the existing data that can be done as an outcome. The accuracy of the results depend upon the data type and data sets that are used. For instance, in case of the presence of the real-time data sets, the accuracy of the results will increase. Similarly, in case of the presence of huge volumes of data sets with valid data properties, the changes are that the results will be accurate (Dawson, 2015).
In the field of healthcare service delivery, the data sources that can be used may include the information collected from the medical team and medical professionals, patient details and information, medical codes and medical treatment services that are applicable, market data and information, information from the legacy systems and the medical documents and reports. There are business intelligence techniques such as data analysis and data mining that are applied to the information sets that are collected from different sources of data.
There are various changes that are coming up in the field of medicine and healthcare. The pharmaceutical companies are required to meet the needs of the people by providing them with adequate medicines and drugs.
There is also a change that has been witnessed in termed of the requirements of these medicines. There is a change that has happened with the change in lifestyle of people. Pharmaceutical companies need to have information on the demand of the drugs that are most commonly used, less frequently used, emergency drugs and likewise (Kolomvatsos and Anagnostopoulos, 2017).
These results and information categories are provided by the implementation and use of predictive analysis techniques.
The quality of the patient health condition improves by providing them with the adequate treatment and diagnosis. There are various health signs and symptoms that are associated with the health conditions of the patients.
It is necessary for the health services and deliveries to be designed in such a manner that the patient health improves. With the application and use of predictive analysis techniques and tools, the accuracy of diagnosis and treatment has increased (Nassif et al., 2016). There are also a number of health conditions and symptoms that are sometimes not sufficient for the medical teams and professionals to reach to a conclusion in terms of the identification of the disease. The use of predictive analysis tools adds to the accuracy and ease of diagnosis.
All of these reason contribute in the enhancement of the satisfaction of the patients.
Healthcare is one of the most significant and integral part of any country. It is necessary that the latest practices and activities are used and applied in the field of healthcare to attain maximum benefits and advantages. There is a lot of information that is associated with the healthcare organizations and firms. The healthcare service delivery and the other operations that are carried out have a lot of reliance on these information sets. A proper research technique and method shall be applied on these information sets to understand the trends and patterns that are involved. There are various forms of analysis techniques and methods that are available, such as descriptive, prescriptive, predictive and hybrid. Predictive analysis is a technique that is used to apply the statistical methods and forecasting to predict the results of the future operations and activities.
The technique analyzes the data and information sets to come up with the answers to the questions on what might happen in the future. These results are retrieved on the basis of various analysis operations that are carried out and used in this research method. Predictive analytics primarily revolves around the data analysis and the manipulation of the variables so that the forecasting capabilities can be developed and carried out from the existing data sets. The reliance of this form of analysis technique is primarily on the variables that can be measured along with the manipulation of the metrics for the prediction of the future behavior and outcomes.
There are a number of challenges that may be associated with the use and application of predictive analysis in the field of healthcare service delivery. These challenges may be in the terms of data quality, change in technology and customer behavior, security of the data sets and likewise. These challenges shall be handled by the application of an adequate tools and predictive analysis technique. There are also numerous benefits that are offered by this analysis method in the field of healthcare service delivery. These include increase in patient health condition and satisfaction levels, better diagnosis and treatment, development of preventive medicines and many more.
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