Improving the diagnosis and treatment
With the aid of intelligent diagnostics tools that can handle highly complex decisions, Intellix helps medical profession to become more reliable, less time consuming and to the point.
Improving the diagnosis and treatment
With the aid of intelligent diagnostics tools that can handle highly complex decisions, Intellix helps medical profession to become more reliable, less time consuming and to the point.
Uncertainty is compounded by the information overload that characterizes modern medicine
Today's experienced clinician needs close to 2 million pieces of information to practice medicine. Doctors subscribe to an average of seven journals, representing over 2,500 new articles each year. How can a single individual process such vast amounts of information and effectively apply it in practice?!
Cognitive shortcuts methods, or heuristics, have been commonly referred to as highly efficient in helping solve complex problems, of the sort encountered daily in clinical medicine. It is known however that heuristics is often applied with errors, affecting clinical judgments and leading to possibly incorrect conclusions. Eventually, because short-term memory of a typical person has limited capacity, cognitive shortcuts are discarded as rapidly as they are formed.
Preventing unnecessary risks
Preventing unnecessary risks
The extreme complexity of modern medicine has led to an increased risks of harming the patient.
“One study concluded that there were 1.7 errors per patient per day in America’s ICUs. Of these errors, 29 percent could have caused clinically significant harm or death. Given that the average ICU length of stay is three days, this research suggests that nearly all patients hospitalized in the ICU sustain a potentially life-threatening mistake at some point during their stay.”
A substantial portion of medical incidents have been judged to be preventable. Safety checklists have been used for decades in other high-risk industries and have demonstrated to be effective tools in ensuring safe operations.
I.C.U.s put five million lines into patients each year, and national statistics show that, after ten days, four percent of those lines become infected.
Line infections occur in eighty thousand people a year in the United States, and are fatal between five and twenty-eight per cent of the time.
Big Data
Using Big Data to improve patient outcomes
Big Data
Using Big Data to improve patient outcomes
Despite spending $800m on technology in 2012, healthcare productivity is flat and preventable patient harm remains the third leading cause of death in the US.
One reason for this is that healthcare is grossly under-engineered; medical devices don't talk to each other, treatments are not specified and ensured, and outcomes are largely assumed than measured.
Other industries rely much less on heroism by individuals and more about designing safe systems und using technology to support work.
Modern healthcare technologies generates massive amounts of data related to the delivery of healthcare as well as to the reimbursement as well as the payment of healthcare providers. The challenge is turning this data into knowledge that improves clinical care as well as providing cost efficiency in the healthcare delivery.
Today’s powerful computers and the use of neural networks makes it possible to aggregate individual medical data sets into big data algorithms this provides the most robust evidence that helps patients, physicians, and other healthcare stakeholders identify value and opportunities. Therefore mining of large data sets “BigData” for knowledge creation in combination with decision intelligence for securing compliance have great potential to change and improve the healthcare landscape as we know it.
With the use of "BigData", we would for example get better tracking of efficacy and side effect of new drugs, and it would provide population based evidence with regard to which factors and what statistical significance is there for the development of a number of diseases/disorders.
This knowledge can thus be used to build clinical decision support tools and checklists which will be used by healthcare professionals to prepare diagnosis and treatments of personal doctor-seeking/hospitalized patients more quickly and efficiently. Similar information will also be used to identify people (bulk analysis) who are at risk for developing various diseases, which will help healthcare personnel prevent diseases, treat diseases, and establish lifestyle changes to catch diseases at early stages or before they develop. Early identification and management is of great importance for successful management of life-threatening diseases. All this will result in reduced societal financial burdens while enhancing patient health and life-span.