Population Risk Assessment

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Population Risk Assessment

 

Healthcare is transforming from acting in need to taking precautions to prevent the need. This exclusive change in healthcare is also bringing about a change in the goals that were earlier defined by this industry. Today, you will see healthcare emphasizing more on quality and continuity and aligning them to patient outcomes. This is because of the shift described above. The idea is to improve patient care, make it more available to everyone, reduce cost of healthcare, and give the patient a better experience.

One of the crucial methods for improving healthcare involves diagnosing the risks and being proactive in taking action against them. The idea is to have a better idea about your patient, know the risks, and accordingly, use your resource and optimally allocate them for better utilization. Data helps in understanding the potential risks affecting the patients, and in turn helping them out of it. D Cube offers population risk assessment in the healthcare analytics it offers. They build on the data to give out pure insights that can help you study the risks, and finally, take actions.

Let’s assume a situation when your patient is diagnosed with ill health. The first reaction is unpleasant, and your patient might not want to go through this disease. As a doctor, it becomes important to calculate the risk involved, educate the patient about it, and finally help them take a decision. A lot many times a patient is taken into the hospital, and then is readmitted for the same disease. This not only involves resource cost but also adds to the patient care cost, and holds your reputation down immediately. You may want to avoid all of this, which is why you would need to determine length of the patient’s stay, the need for readmission (if needed), how soon they can be released, their history etc. This will help you realize the risks involved in the patient, how far they will survive the disease, and what precautions you will need to take.

If you have to send the patient from one hospital to another, you may want to include that too in the risks involved. D Cube has the ideal healthcare metrics that will help you know the transition risks involved, and look for opportunities that will enable perfect transition with minimal risk and lowered costs. The fee structure has also changed in the meantime. With the data obtained from D Cube, you will realize that the fee for service has replaced the flat rate system for the diagnosis. This will help reduce the cost of patient care, and also lead to quicker realization of healthcare goals.

If you align your strategic goals to the patient care you will be able to do a perfect population risk assessment, which can enable you to reduce costs and give out quicker healthcare.

 

 

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