I have a Vast Amount of Data Collected, What’s Next?
I have a Vast Amount of Data Collected, What’s Next?
With hospital systems in the APAC region getting more automated, collection of data has never been so easy. Hospitals now have a rich source of data available to them in the form of patient records, health reports, and clinical reports among others. General physicians too, store their reports in the hospital system after each patient’s visit from which the hospital can later pull out the file upon the patient’s subsequent visit. All this automation and data collection has definitely added an entire new angle to the health industry in the APAC region, as they are trying to become the leading healthcare providers in the world with cheaper healthcare costs and better access to healthcare systems. The question arises as to the use of this vast amount of data collection. How can it be effectively used? How can one make any sense of these poorly organized, sometimes incomprehensible and often incomplete sets of data? This is where analytics comes into picture as it is the only way to analyze and comprehend these large sets of data.
The role of clinical intelligence
With the countries like Singapore, Malaysia, Thailand, and India coming up as popular medical tourism destinations for people around the world, the APAC region has become a center of medical attraction. It is now time to take this medical expertise to the next level by introducing clinical intelligence to the healthcare organizations in the APAC region.
The main role of clinical intelligence lies in combining the vast sea of medical terminology along with the skills of the data mining experts to create comprehensible sets of data. To do this clinical intelligence teams require good knowledge of technology (data analytics and business intelligence tools) and a standard reference to the various medical terminologies. These two functions along with electronic health records put together give us the knowledge that we need from these complex sets of data.
This clinical intelligence acquired through data gathering, warehousing and subsequent analysis will help healthcare organizations to achieve the following results:
Timely identification of data issues and other problem areas to formulate designs that will follow a routine process which will make clinical reporting an easier task``.
Leveraging various sources of reference terminologies to identify the right kind of patient sets for analysis of data and thereby improving the sensitivity and in turn the quality of the results of clinical analysis. This will also lead to enhancement of proper identification of any chances of false positives.
Produce reports that are in line with the compliance regulations and enable the different clinical measurement initiatives.
By optimizing the flow of data from inpatient hospitals to the various databases and electronic health records, clinical analytics can enhance business intelligence efforts and improve current reporting patterns in various hospitals.
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