People do not think twice before they get on any commercial airline. This happens mostly because according to a study it has been reported that the odds of a person dying even if he/she makes use of the worst 39 airlines available is only 1 in a 1.5 million. This means that the chances of death are only around .0000006%. This figure is a lot better than the Six Stigma quality. There was a study which was published in the year 2012; this study stated that, based on the two months post care the mortality rates were up to 3.6%. Now this figure is quite far from that of Six Stigma quality. While on the other hand, all the data related to surgeries and outcome are not published publicly for everyone to read.
In the month of March of the year 2014, there was a Malaysian airline which was carrying 370 passengers and it disappeared. Later the bodies of 239 passengers were found; who died in a crash. There was a response given out by the global airline industry according to which a promise was made for the augmentation of the procedures of tracking, so that such an incident would not take place in the future. Now, this is a clear example where an industry has learned from the failure of some other industry, further leading to new standards being adopted for the betterment of everyone. People should learn from this story.
Most people have never heard of the term namely "Dirty Data". There was a paper which was published by the Datamark, in this paper various analysts which included Gartner, Merrill Lynch and IBM gathered their opinions and agreed on the fact that almost 60 to 80 percent of the health data is not structured. It has been given the name of dirty data because all the information which is collected is never in a defined field for example address, city, state, zip or name etc. While keeping the defined fields aside, it is not possible to sort out and mine unstructured data.
The impressions and notes of the physicians are included as well as a paragraph in EMR is given out by a nurse. While sometimes only an image is included. It is not an easy job to translate the data related to healthcare between two systems. It is quite unfortunate that not much interfaces much else. While in reality, there is an availability of uncommon language, disparate and unconnected systems.
The challenges of health data are quite complex but there is a high chance of overcoming them with efficient planning. The outcomes and evidences should be given high importance while taking one through the processes. Communication and strategies also hold equal importance as planning; one should have complete knowledge about the direction in which you intend to strike. One can begin with making use of the historical clinical data along with the experiences of various clinicians as it will lead to better clinical decision making for the creation of reports.
The technology which accepts the disparate data has been proven. If experts combine the data as well as automate function, then it can lead to the production of active, evidence-driven and stratified guidance. There is no artificial intelligence present. The details of all encounters, outcomes, and treatments are distilled. This is done in order to provide guidance for the treatments in the future while consolidating and sharing the experiences of many; it can be shared in the form of universal guidance. Such an approach will cater to value and quality outcomes.