There are more reasons than ever to be optimistic about the possibilities created by big data and predictive analytics in healthcare. By leveraging new technologies, including big data APM solutions like Pepperdata, healthcare organizations are able to make better medical and financial decisions while continually improving the quality of patient care. For instance, our customer, Clearsense, enables its healthcare customers to leverage analytics to save lives and improve patient outcomes.
The use cases made possible with big data and predictive analytics are truly visionary and life-saving. Here are some examples.
- The U.S. government has instituted patient assessments for the risk of overdose and suicide, enabling the effective collaboration between medical and mental care providers serving veterans at risk of suicide (White House blog post).
- AI can solve the problem associated with the shortage of trained healthcare providers, which can significantly limit access to life-saving care in developing nations. According to an example cited in Health IT Analytics, “AI imaging tools can screen chest x-rays for signs of tuberculosis, often achieving a level of accuracy comparable to humans” making this capability available to providers in low-resource areas and reducing the need for an on-site specialist.
- UC Davis uses EHR data in an algorithm that gives clinicians an early warning about sepsis, which has a 40 percent mortality rate and is difficult to detect until it’s too late.
- According to Science Direct, King Faisal Specialist Hospital and Research Center utilized analytics to identify areas of emergency room (ER) deficiency and uncover ways to improve performance. By collecting and analyzing data on the length of stay for patients (efficiency) and the percentage of patients leaving without treatment (effectiveness), the organization implemented new programs to improve outcomes, including segmenting lower severity patients and establishing an internal waiting room.
- The Health Workforce Mapper tool from the American Medical Association (AMA) offers reliable data from AMA, CMS, and the CDC, enabling users to identify workforce-related trends and understand which socioeconomic factors significantly impact patients’ access to healthcare.
- Pharmaceutical companies are collecting data