Healthcare | Innovation | Analytics

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Healthcare Innovation: Unlocking BigData Insights to Improve Outcomes, Experiences and Save Lives

This is part of our on-going series “Why Analytics Matters,” which examines how BigData, Analytics and Cloud tools are transforming the world. This month: We focus digital transformation in healthcare and how providers are using data to enhance patient experience, predict interventions and improve outcomes. The world is experiencing a data revolution. That’s certainly true in healthcare as well. But there’s a problem: Healthcare providers have been slow to adopt Analytics and BigData tools. Until recently, analytics solutions have been seen a major cost center. That’s changing. Innovative, affordable options have arrived that make BigData accessible for providers. The impact data can have is evident. Solutions that provide accurate patient insights are helping providers improve patient experience, optimize costs, and most importantly, save lives. All of this is now measurable too. By integrating data, providers see: Rising patient experience scores, reduced readmission rates, and improved clinic decision accuracy. But how does digital innovation look in healthcare?

Prepare for the Digital Health Revolution via Fortune

Prepare for the Digital Health Revolution via Fortune

Digital innovations are coming swiftly across the healthcare industry, and many companies are working to shake up the landscape. Fortune calls it the Digital Health Revolution, and in this piece, they identify five technologies that are pushing the boundaries of modern medicine. For example, telemedicine is expected to grow exponentially in the next decade. What will telemedicine look like? Companies are building kiosks – which could be provided at large companies – in which a patient can meet with a doctor, have vital signs checked, and discuss health concerns without leaving the office. In the future, healthcare could also follow Uber’s lead and offer healthcare on-demand. Another area experiencing an explosion of innovation: Algorithmic medicine. Machine learning and AI have the potential to improve diagnoses and cut costs for healthcare providers, and many forward-thinking providers have already jumped on board.

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How Geisinger Health System Uses Big Data to Save Lives via Harvard Business Review

How Geisinger Health System Uses Big Data to Save Lives via Harvard Business Review

Geisinger Health – a healthcare network based in northeastern Pennsylvania – is no stranger to digital initiatives. In fact, the provider was an early adopter of EHRs in 1996, and has been refining their data operations ever since. These days, Geisinger has worked to integrated data from all sources onto a unified platform, called a Unified Data Architecture. Using the system, Geisinger can track and analyze outcomes, visualize data, and integrate genomic sequences into clinical care. In this Harvard Business Review piece, Geisinger’s leadership team outlines three specific BigData success stories. For example, the provider has improved early-diagnosis of sepsis. How? First, an analysis of all their data helped them identify the timeframes in which early indicators appear. But also, because the UAD enables all patient-specific data – from lab results, to medications and vital signs – to be accessible on one single platform.

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Making Predictive Analytics a Routine Part of Patient Care via Harvard Business Review

Making Predictive Analytics a Routine Part of Patient Care via Harvard Business Review

In this review of literature, the authors build a case for how healthcare providers can leverage predictive analytics. They’ve also provided fascinating use cases to illustrate each example. For example, predictive analytics can be run on EHR data. That’s happening at the Veteran’s Health Administration. The VHA has developed advanced algorithms that provide accurate predictions of meaningful patient outcomes. This information is then used to guide patient care, and the VHA predicts their data investments will provide a return of more than $3 billion. Dallas-based Parkland Health also developed an algorithm that reduced readmission rates for patients with heart failure by 26 percent.

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Use Big Data to Improve the Patient Experience via Data Informed

Use Big Data to Improve the Patient Experience via Data Informed

Often, what providers assume is the cause of poor patient experiences has only a minimal effect. Data is the key to uncovering the root causes of low patient experience scores. This article looks at five examples. For instance, the Cleveland Clinic was plagued by low scores from patients. What they assumed: Patients were unhappy with wait times. The data, though, completely ran counter to that assumption. Instead, patients were unhappy with the lack of consistent communication and empathetic care. Cleveland Clinic used these patient insights to roll out patient-centered initiatives which drastically improved patient experiences. Additionally, hospitals and healthcare facilities can mine BigData to analyze the range of patient sentiment, which can be used to develop messaging for marketing and communications.

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Using Risk Scores, Stratification for Population Health Management via Healthcare IT Analytics

Using Risk Scores, Stratification for Population Health Management via Healthcare IT Analytics

BigData offers healthcare providers the ability to enhance their risk scoring skills, which can help providers estimate costs, provide targeted interventions, and guide care for specific patient populations. The good news: Providers have a mountain of data that can be used to develop more accurate risk scores and risk stratifications. The challenge though is bringing all that disparate data together onto a unified platform. This article provides an overview of how risk scores are calculated, as well as the types of data that can be used to build better risk scoring models. Ultimately, the benefit is clear: More accurate risk scores and stratifications can help providers roll out inventions and prevent major serious problems from developing, which helps to cut costs.

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