(Newswire.net — August 30, 2016) Chicago, IL –In the medical field, practitioners have long sought ways to improve patient outcomes. One of the most exciting trends in the field is the use of Big Data to drive medical decision making, including diagnosis and cost-saving strategies. Called healthcare analytics, this concept is quickly revolutionizing how doctors and other medical care providers operate. Noted data analytics professional Halden Zimmermann understands how critical this model is in improving efficiency across all aspects of hospital and clinic operations. “Healthcare analytics encompasses several processes,” says Halden. “By using and analyzing data both statistically and qualitatively, it can identify gaps in healthcare coverage and offer opportunities for hospitals to cut costs while improving overall care.” To learn more about the concept, visit http://www.slideshare.net/haldenzimmermann.
Data collected through patient interactions, medical claims, laboratory values, and biometrics have improved patient care. By analyzing this data and combining it with traditional diagnostic methods, physicians are able to improve patient care. At the same time, this data can reduce overhead costs for medical facilities; for example, by eliminating expensive diagnostic procedures that do not advance treatment plans for patients. Data collected from patient interactions with medical providers, especially in large databases collected in electronic health records, give providers the ability to address contraindications and gaps in care. This analytical concept goes hand-in-hand with medical informatics, dramatically improving patient outcomes. The data can also be used to advance understanding in the medical field; such data has been employed in clinical research efforts and has revealed emerging health trends.
“Predictive modeling is one of the most exciting developments that has occurred over the past several years,” says Halden. “Healthcare providers have analyzed patient records, helping to identify at-risk patient populations. This, in turn, gave providers the ability to focus on related health concerns, such as comorbidities and risks of hospital readmission.” Hospitals that take advantage of the advances offered by healthcare analytics can use clinical and financial data to make decisions that improve performance, both in patient care as well as in reducing costs. For larger healthcare providers, such as hospital or physician networks, data sharing also serves to maximize profitability, moving away from outdated fee-for-service models to implement value-based care plans. This personalized healthcare experience also saves money by eliminating waste. For more information about Halden Zimmermann, visit http://www.fivehundo.com/halden-zimmermann/