The healthcare industry is on the edge of changing the lives of patients affected by autoimmune diseases by using data analytics.
FREMONT, CA: It is the era of a data-driven world, where everything is operated with the help of data. Many industries are leveraging data analytics to predict their future events and work accordingly. The healthcare industry is currently embracing predictive data analytics to shun readmission penalties and gain better results.
Predictive data analytics is trending in many areas of health systems. They come up with value-based care models for patients to deliver better population health management services. By incorporating data analytics, hospitals tend to improve their abilities to predict, detect, and monitor chronic conditions in patients. For instance, the autoimmune diseases are one among those chronic conditions that are conventional in the U.S. According to the American Autoimmune Related Diseases Association, around 20 percent of the population is affected by autoimmune diseases due to which the annual health care cost is hiked up to $100 billion. Hence, data analytics is adopted to address the hike in price and improve patients care with better treatment plans.
Improves treatment plans
Data analytics is a game-changer for hospitals and patients as it provides better diagnostic information. Utilizing complex algorithms that are built with machine learning (ML), and artificial intelligence (AI) the hospitals can analyze a vast amount of healthcare claims. The electronic medical records (EMR) help in reducing costs on additional care, followed by designing predictive models that aid in fetching better outcomes on patient's diagnosis. The reports from big data black boxes enable the physicians to rectify misdiagnosis, identify the disease, and improves treatment plans. With the help of prescriptive analytics, the healthcare system can measure an individual patient's cost that leads to a decrease in waste and improves efficiency.
Identifying autoimmune disease in patients
The adoption of predictive analytics brings a revolution in the healthcare institution as it helps in detecting autoimmune diseases in patients at an early stage. However, by using traditional methods such as spinal taps, MRI and another testing, the disease can be diagnosed within three to four years whereas the predictive analytics aids in immediate diagnosis that ensures timely treatment and better health conditions in the patient which is carried out by disclosing patterns of large datasets. It helps in reducing the cost of treatment as well as shortens the frequency of adverse events.
Perhaps, the major role of these technologies such as data analytics, AI, and machine learning in the healthcare industry is not restricted to specific conditions. It is applied for many such diseases that ensure in saving more lives.