What Are Healthcare Analytics?

With all of the advances being made with big data and computing systems, it is not enough to simply hire a Microsoft dynamics developer to install the latest CRM for your healthcare business. Your Microsoft dynamics CRM developer will now have a much bigger role in gaining sufficient intelligence from your systems to make some real improvements in how your business runs and the services that you offer your patients and clients.

Traditional systems have recorded masses of information from patient records to purchasing data. But CRM development and other systems have not been capable of providing any real predictive insight as to how that data can help. New ways of processing data and the use of the cloud and so much more, however, is opening up many new and exciting opportunities.

By using your Microsoft Dynamics CRM and your other systems to record data you are creating a vast pool of information from which predictions can be made that will help benefit patients and your business. Healthcare analytics can now analyse this mass of data to help improve not only your business decision making but an individual’s healthcare.

How Analytics Can Improve Patient Care

With Microsoft dynamics development and the addition of other analytical services, you can build a mass of data. This can then be analysed to help drive improvements in all of the following areas:

• Improving population health: by analysing masses of data about patients it is possible to identify those that are most at risk of different diseases and conditions. This allows them to partake in wellness activities and early intervention to hopefully prevent the problems occurring in the first place. This will help reduce healthcare costs as well as improving the health of the population as a whole.
• Reducing hospital readmissions: many hospitals are actually penalized if a patient has to be readmitted within 30 days. Not only that, it is also far from in the best interests of the patient to have to return again. It is possible to use the information that is available to analyse the care provided to each individual and other factors to determine the risk that they will have to return to the hospital. Further, the data can also help to determine the actions provide to prevent that readmission leading to a better outcome for all.
• Reducing patient no shows: while it may seem that this is purely a benefit to be had by the many clinics and hospitals it will also benefit the patients themselves. Data analysis can help to identify those individuals and groups that are most at risk of failing to show up for treatment and the reasons why. This allows for follow-ups and other actions to be taken to maximize the number that does turn up. It also allows the facilities to maximize the time available to those that are going to turn up ensuring that they are seen in a timely manner.

• Predicting staffing requirements: having too many staff can be very costly while too few can cause a real risk to those that require the services of your facilities. Often it can be hard to predict what staff levels you really need and this is where big data can come in. Some hospitals are already utilizing this form of analysis to predict the number of staff that will be required during each shift.
• Real time prevention of patient’s deterioration: by analysing real time information regarding the patient alongside historical information it is possible to make warnings regarding potential issues that may be developing. This can save patients from developing additional conditions and problems during their treatment as well as saving a huge amount of money.
• Reducing the amount of time required within hospital: there are now many wearables that patients can use to monitor their conditions. This allows their vitals and other factors to be monitored remotely and appropriate action to be taken when it is really needed. This can improve the patient’s quality of life as well as reducing the costs of expensive monitoring and diagnosis within the hospital.
• Improving diagnosis: from analysis of records and physical data through to visual analysis of scans and x-rays there are many ways that technology is not helping to improve diagnosis. There are already systems that can better diagnose lung issues from an x-ray and other imaging systems than even the best doctors out there.

• Prevention of drug abuse and suicide: analysis of records and other available data can help to identify those most at risk. Trials on mental health studies have identified that the top 1% of those identified were more than 200 times more likely to attempt suicide. This form of behavioural and risk analysis will allow treatments and other interventions to be better targeted to those at the most risk.
• Improved telemedicine: the technology that we have today means that you do not even have to travel to the clinic or hospital to be seen by a doctor. Add electronic records and other analysis and you have a highly effective way for a doctor to help diagnose your issues remotely.
• Improved treatments: big data is already helping pharma companies to identify drugs that have unexpected benefits with treating conditions that they were not designed for. The future, however, could see these systems actually designing new treatments and drugs that could cure and improve a whole range of conditions that are currently difficult or impossible to treat.

These are just a few of the areas in which healthcare analytics are helping to improve the welfare of patients. With shared data and more analysis, there are going to be some significant advances in healthcare over the coming years.

You Need to Analyse Your Healthcare Big Data Today

Your software supplier will really have to earn their Microsoft Dynamics CRM developer salary if they are to provide you with the system that you require. With so much to gain for both patients and your business, you cannot afford to stand still. Digitalization in healthcare is happening all around us now. You need to investigate how you can make full use of healthcare analytics in your facility to make the improvements that your patients deserve.