How the Healthcare Industry is Leveraging Predictive Analytics to Improve Patient Outcome

Nov 12, 2017

The backbone of a successful healthcare service is positive patient outcomes. Today, several healthcare reimbursement models look at patient outcomes to determine the level of payments. This has resulted in an increased focus from healthcare providers in improving their level of services to deliver results. So the question arises, how can they go about improving patient outcomes? The answer lies in predictive analytics. With massive amounts of data collected from Electronic Health Records (EHR) and Electronic Medical Reports (EMR), predictive models can predict individual outcomes like post-operative complications and diabetes risk.

Increasing Accuracy

If a patient visits a physician with chest pain, it would be complicated to ascertain if he/she should be hospitalized. However, if the patient’s medical history can be fed into a predictive algorithm, it would assist the physician in deciding between keeping him/her under observation or sending them home. Additionally, predictive modeling can perform complicated calculations to increase diagnosis accuracy by factoring in genomes and gene markers to discover hidden conditions.

Speak with our analytics experts to learn more about how the healthcare industry can use predictive analytics to improve patient outcomes along with predictive modeling, patient-reported outcome measures, and outcome measures.

Treatment and Medications

Medicines are not as simple as they look; a medicine that works for the majority of the people may not work for few. Additionally, some people may exhibit adverse effects to certain medications. Using predictive modeling and patient-reported outcomes, individuals can receive treatments that will work for them. The role of the patient will augment to being a more informed consumer working closely with their physicians to achieve better outcomes. By factoring in personal health issues, genome analysis, and data from wearable devices, prescriptive analytics can suggest the best treatment plan and medications improve patient outcomes. It can also suggest necessary lifestyle changes for their wellbeing.

Focusing on Low-value Decision Points

Physicians and healthcare providers are humans after all. Uncertainty over a clinical decision can result in physicians overtreating or undertreating patients. Predictive analytics can allow physicians to administer essential treatment plans to those patients who absolutely need them. For instance, when treating a newborn with antibiotics, a large percentage of infants are treated with antibiotics, whereas only a minority among them actually have infections confirmed by blood culture. Researchers can develop sophisticated algorithms to predict the cases of infection accurately, so antibiotics can be administered appropriately; thus, reducing its misuse. This would significantly reduce medical costs and adverse side-effects.

Related Articles

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Workforce Management Trends of 2021

Workforce Management Trends of 2021

Driven by the disruption of COVID-19 and enabled by technology, the world’s business leaders can redesign workforce management and redefine ways of working. Organizations are now rethinking workforce management, planning, performance, and experience strategies. Now,...

read more
Tech Trends 2021

Tech Trends 2021

After disruptions caused by the coronavirus crisis starting in 2020, businesses are looking forward to getting back on course and becoming sustainable. 2020 has created havoc and made holes in long-standing norms about how companies operate. It has become evident that...

read more
Sustainable Supply Chain and Big Data Analytics

Sustainable Supply Chain and Big Data Analytics

Sustainability concerns are sprouting up in every industry. A growing population of consumers now prefer eco-friendly and sustainable businesses. Organizations are striving to address this concern, while improving internal systems and processes, by developing supply...

read more


Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.


Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.