By Michael Shipley
Senior Product Manager
Tags: Blog, Stratasan, strategic planning, strategy, data, data analysis, data analytics, data-driven decisions, data strategy, growth, health, health care, health strategist, health strategy, healthcare, healthcare data, healthcare planning, healthcare strategic growth, healthcare strategic planning, healthcare systems, hospital, Market Share, healthcare growth, data analyst, all-payer claims data, decision-driven decisions, data aggregation, payers, Gist
In the healthcare industry, marketing professionals and strategic growth planners are tasked with the important job of creating stories out of data—the art of visualization. You must take rows upon rows of data and transform it into an easily digestible format—a skill that when executed properly, is extremely valuable. Anyone can create a bar graph, but the ability to create visualizations that are meaningful and insightful is an art form.
Here’s a look at how to improve your hospital’s organizational alignment from top to bottom and why getting this right could be the key to meeting your annual strategic goals.
Download the Complete Tapestry Segmentation Guide:
As learned in the first and second installments of this blog series, it can be quite useful to use Esri's Tapestry Segmentation to target specific populations that your hospital, system, or physicians serve. Tapestry Segmentation was designed specifically to understand your customer’s lifestyle choices – what they buy and how they spend their free time. This information gives Stratasan, and our clients, insights that help identify facility’s patient types, optimal sites for hospitals, physician offices, FSERS, and urgent care locations. We use Tapestry Segmentation to help our clients get higher response rates, focus on the most profitable growth opportunities, and invest their resources in the best ways possible.
Tags: Blog, physician relations, Stratasan, strategic growth, strategic planning, consumer outreach, data, Engineering, Esri, esri tapestry segmentation, GIS, health care, healthcare, healthcare data, Market Share, marketing, Tapestry, tapestry segmentation
As we know from the first post in this series, Esri's Tapestry Segmentation is diverse and quite different depending on the part of the country in which you live. Tapestry was designed specifically to understand customer's lifestyle choices – what they buy and how they spend their free time. This information gives Stratasan, and our clients, insights that help identify facility’s patient types, optimal sites for hospitals, physician offices, FSERS, and urgent care locations. We use the Tapestry Segmentation dataset to help our clients get higher response rates, focus on the most profitable growth opportunities, and invest their resources in the best ways possible.
Know your customer. It's marketing and product development 101. In order to fully meet the needs of the consumers in your service area, you must first have a thorough and detailed understanding of who they are. Only then will you be equipped to grow the appropriate services lines to accurately meet their needs. And only then will you be able to target your marketing outreach to let the right consumers know about the services you have developed just for them.
Stratasan, through the use of Esri's Tapestry Segmentation, is positioned to equip your hospital and health system for strategic growth and targeted consumer outreach. This post, and the related post in the series to come, will pull back the curtain, explaining how and why we are equipped to walk your team through the process of getting to know your customer like never before.
Discussions around “big data” — what it is and why it’s useful — are infiltrating every arena of the healthcare space. Strategic planning, marketing, business development, patient care, and health outcomes are looking to big data for answers. hi
While the intelligence gained from big data analysis is valuable, there are compelling reasons to believe that working with the right data is far more important than simply having access to, and analysis of, big data.
Why You Need Both for Growth Planning and Physician Relations
Every hospital and healthcare system looking to grow could benefit from reliable, clean, and standardized healthcare patient data. It’s critical for strategic planners and physician liaisons, in particular, to have access to data they can trust when looking to expand offerings, build physician relationships, and improve accessibility to care for their service area.
In this post, we’re analyzing state and all-payer claims data. We’ll explore how these datasets differ, why they differ, and how, when armed with insights from both datasets, planners and liaisons can gain a more complete picture of the opportunities within their market.
Interviews with: Mitzi Kent and Dustie Maguire
Get an insider look at the organization of a successful physician relations program as shared in this interview with Stratasan and LifePoint Health. Learn about the goals and responsibilities, hiring and leadership, relationship building techniques, intelligence and information, and compliance needed to run a thriving and effective team.
Tags: Blog, physician liaison, Physician Pathway, physician recruitment, physician referral, physician referral tool, physician relations, physician tool, strategic growth, strategic positioning, data, health, health care, health strategy, health system, healthcare, healthcare strategy, hospital, hospital strategy, hospitals, medicare, pathways, Physicians, referrals
How frequently do you QA your data? Do you check for discrepancies in your data? Do you have a standardized method for identifying outliers in your data?
The value of data-driven decision making may already be apparent to your team. Or, maybe you've never recognized how Data QA can improve your growth planning process. Either way, this quiz will provide valuable insight as to how well your team is doing.
Take this short quiz and receive:
- Immediate feedback as to how good your team is with Data QA
- Tips and best practices for improving your Data QA process
- Insights about the value of data-driven decision making