By Dave Bailey
Tags: Blog, Stratasan, data visualization, analytics, data-driven decisions, Healthcare Market Research, healthcare strategy, healthcare systems, hospital, Market Share, all-payer claims data, 2022, Syntellis, price transparency
Tags: Blog, Stratasan, data visualization, analytics, data-driven decisions, Healthcare Market Research, healthcare strategy, healthcare systems, hospital, Market Share, Pathway, all-payer claims data, focus pathway, outmigration, 2022, Patient Origin, Out-migration, Syntellis
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
Making this Data Accessible and Usable for Informed Growth Planning
Over the years as we’ve worked with all-payer claims data (APCD), and built tools on top of this dataset, we’ve often encountered questions about it— what it includes and how it can be used. In this post, we’ll address many of those frequently asked questions. We’ll define APCD and describe the longitudinal analysis that can be done using this data.
Uncover the Fundamental Truths Your All-Payer Claims Data Should Deliver
Not all all-payer claims data (APCD) is created equally. Depending on the data aggregator and clearinghouse(s) used, the APCD offered by any given analytics company can vary significantly.
When choosing a partner to provide your APCD, it can be difficult to discern what’s most important. Many incentives offered may sound nice to have, but could also be distractions to keep you from noticing more critical features that are lacking. As you consider your options, keep these three questions in mind:
- Does this APCD provide patient cohort tracking?
- Will you be able to access submit and remit data?
- Is there transparency into what is being modeled and how?
Let's discuss in more detail each of these questions and why it’s critical to have these clearly answered before signing on with an APCD provider.
Tracking Care Patterns by Cancer Site
Earlier this year, members of the Stratasan team conducted a study to determine if treatment care patterns differ for oncology patients by cancer site. The hypothesis was that the most common treatment path for cancer patients is to first seek surgical treatment, then medical, then radiological. Patients were grouped by their order of transition from surgical, medical, and radiological procedures.
Below you will find the results of this study.
Tracking the Impact of COVID-19 Using All-Payer Claims Data
In a recent blog post, we took a data-based look at virtual care. We considered the importance of data for growth planning and how All-Payer Claims Data (APCD) provides unique insights that can inform hospitals and health systems as they prepare to respond to the growth of telemedicine.
In this post, we’re once again analyzing APCD, this time looking for COVID-19 trends. We’ve reviewed data trends from January - June of 2020, compared year-over-year numbers to see shifts from 2019 to 2020, and considered pre- vs post-COVID diagnosis code fluctuations. It’s important to note that while we reviewed diagnosis codes related to COVID, there are several which are for negative for inconclusive results. See below for our findings related to gender, age, and care setting shifts.
Early Data Shows the Rapid Shift in How Patients are Receiving Care
In a recent blog post on planning for the future of telehealth, we shared tips for how to shift to a more aggressive virtual care strategy. We discussed ways growth planners can embrace telehealth and be better prepared for the future. We also talked about the importance of data while growth planning and how All-Payer Claims Data (APCD) provides unique insights that can inform hospitals and health systems as they prepare to respond to the growth of telemedicine.
We won’t have complete data insights until July as to the full impact of COVID-19 and the resulting rapid adoption of virtual care. The data we do have shows the drastic impact of the virus and the resulting stay-at-home mandates. By tracking the “Telehealth” care setting, we see a momentous spike in virtual care in March of 2020. While the transition to virtual care began to take effect in 2018, it clearly jumped in March of 2020 due to virus concerns. Take a look at claims and encounter data below to see the spike in virtual visits.
How Patients are Utilizing this Convenient Form of On-demand Care
Urgent care centers continue to be a popular alternative for patients in need of care that fits their busy schedules. The convenience of these clinics—with longer hours and broader availability—is appealing to patients seeking fast, reliable relief to minor injuries and illnesses.
As providers look to meet these needs by opening new urgent care clinics, it helps to know the top diseases being treated at these facilities. The list of diseases shown in the infographic below provides a helpful starting point for urgent care placement discussions.