Deeper analytical insight and agility is at the forefront of growth strategy for companies across all industries. However, the complexity of defining the appropriate path to leverage the benefits of the Cloud to gain meaningful insight from your data can be overwhelming.
It never seems to fail that following the HR Technology® Conference in October, there’s an increase in blogs, articles, and overall commentary on HR analytics.
The articles usually follow this trajectory:
- Why aren’t organizations investing in analytics? First we bemoan the fact that so few organizations are investing in HR analytics: only 12% of organizations in the latest Sierra-Cedar HR systems survey adopted any form of Workforce optimization applications such as workforce analytics, workforce planning, or predictive analytics solutions, and this number hasn’t changed much in the last few years.
- We have solutions. Articles then show up pointing out the improvements in solution and service provider approaches and tools. With the plethora of options available today, lack of tools shouldn’t be the holdup for adopting analytics in organizations. Read more
I have worked with many healthcare organizations that have decided to license Oracle Business Intelligence (OBIEE) solution and are now facing the daunting task of implementation. Instead of embarking on your OBIEE journey blind, I suggest learning from those who have already gone through the process. It will allow you to prepare a solid plan and avoid common mistakes. Read more
Far too often we hear from our healthcare clients that ERP and BI projects fail. And, far too often when we ask what lessons have been learned, we hear the Project Risks were never identified or managed.
In effort to assist the general healthcare community and address this concern, allow this blog to provide some guidance and an overview of a working implementation risk mitigation approach. As you consider an Enterprise Resource Planning (ERP) and/or Business Intelligence (BI) implementation, consider that most implementation methodologies are based on a project Risk Mitigation predicates of PMI or Six Sigma; both do provide overviews for Projects Managers (PM) to use while they develop their detailed work plans for software implementation projects and while creating deliverable documents.
Though this blog is detailed, realize that all implementations differ by both the project content and the implementation team. Read more
There has been much discussion and much hype of late on healthcare organizations investing millions in growth for competitive strategies, e.g., optimum care delivery; developing a reliable financial baseline; employing rigorous business planning; and increasing market share. For today’s health care providers, however, the future is full of change and uncertainty. The HITECH-driven road toward Meaningful Use of your EMR technology is going to be a bumpy ride, even though nobody yet knows how long that road is or exactly where it will take us. The sense is that it’s a road that must be traveled – at least while the economic incentives are favorable.
So now the focus of the discussion is on how to get information from data and the tools to mine the data stores. Read more
Most healthcare provider organizations require significant amounts of information on their financial operations and their clinical efficiency. Not all of these organizations, however, are realizing the full value of their investments in operational systems such as Supply Chain Management (SCM) which contain a wealth of untapped “intelligence.”
As hospitals increasingly need to make complex decision on how to optimize operations, Business Intelligence (BI) analytics is playing a mission critical role. While operational applications effectively serve each department, clinical and administrative staffs need an integrated view of the information simply and rapidly. BI for healthcare solutions enable a single view of the organization’s information with a predefined enterprise data warehouse and architecture based on proven best practices in healthcare. Read more
Hospital executives and clinicians often make decisions that are not evidence-based or data-driven. In their quest to improve quality of care, efficiency and financial performance, they often times overlook critical data in the decision making process.
Why is that a problem? Because in hospitals, while time and effort is spent collecting data, there may be few resources to analyze it (spot trends, correlations, etc.) and forward think. While the necessary data may be resident in your organization (right now), in many cases, there is too much data to be effectively used in decision-making. A losing proposition when a great deal of labor and expense was expended to collect the data.
As a result, most hospital executives call out for more efficient accessing, organizing and sharing of data, and to focus on what matters. Read more
In a momentous ruling touching virtually every American, the Supreme Court narrowly upheld President Barack Obama’s historic health care overhaul (Affordable Care Act – ACA) on Thursday, June 28, 2012 with the unlikely help of conservative Chief Justice John Roberts.
So how does this impact us in Healthcare IT today, those of us who are running from meeting to meeting, applying patches and working on our punch-lists of “to-dos”? Well, Read more
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