Health Care Analysis Essay
1. Selection of the clinic site
Investment in a new Healthcare facility is not suitable to every pocket. Predictive analysis helps in the evaluation of a clinic site on the basis of prospective patient footfall, surrounded competition. Predictive analysis also helps to measure the impact of existing facilities on the new facility. It helps the investor to find the right property at the right place.
2. Optimization of staff and business operations
What should be the exact number of staff to run the new healthcare facility. Predictive analysis, can help in visits forecast, that could actually help in knowing the number of staff required to handle the visitor’s volume. From nearby competition analysis, a comparison can be made and business …show more content…
As it provides and insight into what is happening in the current markets and what areas in the future will grow.
5. Analysis and comparison based medicine and treatment: By combining and analyzing different data structures like financial data, operational data, clinical data, data EMR’s we can match different patient’s different patients data. Provide them treatment, predict the risk levels of disease and provide better care.
6. Genomic analytics: Gene sequencing could be more efficient and cost effective using predictive analytics.
7. Fraud analysis: Predictive analysis leverages the identification of fraudulent transactions. It also helps in analyzing fraud claim requests. It also helps in paying valid transactions with more certainty. Expensive recovery actions also get reduced.
8. Device/remote monitoring: With predictive analysis, we can capture and analyze real-time data which is huge in volume and is fast moving within the hospital and clinical devices for safety monitoring and adverse event prediction;
9. Patient profiling for better care solution: If we apply advance analytics to profiles of patients who can benefit from lifestyle changes and preventive care. Such patients could be identified by segmentation and predictive
Investment in a new Healthcare facility is not suitable to every pocket. Predictive analysis helps in the evaluation of a clinic site on the basis of prospective patient footfall, surrounded competition. Predictive analysis also helps to measure the impact of existing facilities on the new facility. It helps the investor to find the right property at the right place.
2. Optimization of staff and business operations
What should be the exact number of staff to run the new healthcare facility. Predictive analysis, can help in visits forecast, that could actually help in knowing the number of staff required to handle the visitor’s volume. From nearby competition analysis, a comparison can be made and business …show more content…
As it provides and insight into what is happening in the current markets and what areas in the future will grow.
5. Analysis and comparison based medicine and treatment: By combining and analyzing different data structures like financial data, operational data, clinical data, data EMR’s we can match different patient’s different patients data. Provide them treatment, predict the risk levels of disease and provide better care.
6. Genomic analytics: Gene sequencing could be more efficient and cost effective using predictive analytics.
7. Fraud analysis: Predictive analysis leverages the identification of fraudulent transactions. It also helps in analyzing fraud claim requests. It also helps in paying valid transactions with more certainty. Expensive recovery actions also get reduced.
8. Device/remote monitoring: With predictive analysis, we can capture and analyze real-time data which is huge in volume and is fast moving within the hospital and clinical devices for safety monitoring and adverse event prediction;
9. Patient profiling for better care solution: If we apply advance analytics to profiles of patients who can benefit from lifestyle changes and preventive care. Such patients could be identified by segmentation and predictive