Adapting Your Growth Strategy to Meet the Needs of Aging and Racially and Ethnically Diverse Patient Populations
By Michael Shipley
Senior Product Manager
By Michael Shipley
Senior Product Manager
Tags: Blog, physician referral, Stratasan, strategic growth, strategic growth planning, strategic planning, data analytics, data-driven decisions, data strategy, growth planning, health care, health data, health strategist, health strategy, health system, health systems, healthcare, healthcare budget, healthcare planning, healthcare strategic growth, healthcare strategic planning, healthcare strategy, healthcare systems, hospital, hospital planning, hospital strategic planning, hospital strategy, hospitals, Inpatient Statistics, markeitng, Market Share, nashville, Physicians, Population Health Management, referral data, referrals, healthcare market share, marketing research, patient population, service area growth, service line growth, strategic growth plan, physician outreach strategy, Hospital growth plan, healthcare leadership, healthcare market data, hospital growth, physician patterns, patient experience, customer experience, physician strategy, diversity, data confidence, outmigration, physician referral leakage, outpatient, HOPD, 2022, Patient Origin, Syntellis, healthcare annual planning
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
When 2020 budgets and strategic plans were set in the fall of 2019, no one could have imagined that by the following March, they’d be useless. Plans created for 2021 may be no better off, as they were established in the midst of a pandemic. How can strategic planners start again? What data and analytics should be used when 2020 trending is out of the question?
This is the first post of a series where we’ll discuss how strategic planners can regain focus, make sense of the data collected during COVID-19, and approach planning for the future. In this post, we’ll discuss how to approach 2020 data differently. In the next two posts, we’ll offer some actionable advice.
Let’s dive in and talk about how to reconcile 2020 data and use it effectively in strategic planning.
By Hank Neuhoff
Many hospitals and healthcare systems are challenged with having too many analyst needs and too few analysts to complete the work. The massive increase in available healthcare data and our insatiable desire to extract value from that data are both going to continue to grow.
With the increased need for analyst expertise and the shortage of analysts to do the work, we simply cannot afford the cost, time, or trauma of repeating classic analyst missteps. The purpose of this post is to highlight some of the common mistakes analysts make and address how to avoid them.
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.
We’ve previously discussed the importance of the DIKW pyramid and how Stratasan uses this philosophy to help our healthcare partners make better strategic growth decisions. In this post, we will further unpack Stratasan’s data processing service and walk you through the technical aspects of how we turn raw data into actionable intelligence.
Tags: Blog, strategic growth, strategic growth planning, strategic planning, data processing, data strategy, health care, healthcare, healthcare strategic growth, healthcare strategic planning, healthcare strategy