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Healthcare

Cancer Center’s Forecast Model Uses Hyperion Planning with ASO [Webinar]

Recently the University of Texas MD Anderson Cancer Center (MDACC) transformed a traditional annual operating budget process into a more forward-looking, driver-based rolling forecast process. This innovative transition was accomplished through the implementation of a unique forecast model that uses Hyperion Planning with ASO integration. To learn more about this new and innovative model, tune […]

Data Science Model Presentation

Visibility and Value in the Healthcare Performance

Healthcare practitioners must untangle the complex relationship of data analytics in order to provide a proper value for patients. Visibility To ensure that patients receive the best care possible, healthcare teams must continuously monitor the performance of the healthcare facility and the daily operations. With open visibility, practitioners establish a sense of trust and with […]

Healthcare Data

Healthcare’s Big 3 – Chatbots, Smart Algorithms, and AI

Healthcare continuously expands the realm of digital technology and explores new paths to analyze and comprehend complex data. The industry is moving in leaps and bounds in order to stay ahead of the technology trends that are upcoming. This blog looks into three major trends that are becoming major components of the healthcare industry. Smart […]

healthcare journey map

[Guide] Improving Operations & Patient Outcomes: Strategy & Tech

Due to the emergence of value-based care, precision medicine, and consumerism, the healthcare industry continues to grow and change. More than ever before, healthcare organizations are collecting patient and member data in real time by utilizing mobile applications, wearable, and implantable devices. In fact, according to Forbes.com, “There are 3.7 million medical devices in use […]

Patient's Guide to Healthcare Journey Maps

The 7 Critical Challenges Supporting Healthcare Use Cases

The challenges in delivering healthcare data solutions that address complex healthcare business problems aren’t obvious when setting sail on an exciting new project. It’s focus a large percentage of your time searching for the latest sophisticated data crunching, machine learning, predictive data analytics tools around that will magically solve all of the problems without fully […]

Why Decision Engines are the Future of Health Management

Healthcare is undergoing a dynamic growth in size. As merges and acquisitions are increasingly permissible in today’s environment, the audacious size of health systems will collide with the efficacy of their mission. As larger systems move away from operating uniformly sized hospitals and toward increasing their breadth of continuum of care, organizations need to rethink […]

Cynefin Framework: Disorder in Healthcare

During the last several blogs, we talked about the Cynefin framework and its four types of projects: Simple, Complicated, Complex and Chaotic. The Cynefin framework is used to help project managers, policy makers and others reach decisions on how to execute based upon how well you know your end result. The framework consists of five […]

The Importance of a Digital Strategy for Women’s Health Services

The strategy for women’s health and well-being has been widely discussed at global and domestic levels for many years. With life expectancy remaining higher for women than it has for men, a shift towards prevention and wellness, the rapid adoption of digital technologies improving accessing to a wealth of healthcare information and services at the […]

Cloud Infrastructure Challenges Within Healthcare Data

The amount of data being produced/collected is growing exponentially and is predicted to reach 35 zettabytes by 2020. Instead of every company owning and maintaining physical servers, cloud infrastructure has become a popular alternative. Health care organizations require continuous innovation in order to remain cost effective, competent and timely to provide high-quality services. Industry experts encouraging adoption of cloud infrastructure can be solution for being cost-effective and securely manage data whether for […]

Why Aren’t Any Business Intelligence Apps Using Graph Data

Business intelligence isn’t always about the facts. Don’t get me wrong, there will always be a place for dashboards and BI reports. Making business decisions without them is unimaginable so we all appreciate SQL based business intelligence systems with star schemas that point to meaningful fact values. One of the many lessons learned from the […]

Healthcare Migration to the Cloud

In my most recent blogs I discussed the potential cost savings and other benefits of alternative IT delivery models. In this blog I want to focus specifically on healthcare’s move to cloud based delivery which was one of the delivery models discussed. One thing I have learned in my almost 30 years in healthcare IT […]

Data Lake as Aggregator – The Critical Role of the Catalog

My previous blog talked about a Data Lake using a Supplier-Aggregator-Consumer analogy and talking about the roles each of these parties play. One factor that is critical to the success of this approach is the use of a common vocabulary that ensures efficiency and effectiveness in the interactions and collaborations between the parties. The implication […]

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