VITUITY TRUSTS THEIR DATA

Vituity harnesses the full power of consistent data.

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HQ: California, USA

Industry: Healthcare

Customer Since 2020

Domains

Provider

Facility and Location

Patients

Payer Contracts

Reference Data Management


Jenny Hyun

Director, Enterprise Data Analytics  Vituity

“The power of data, now that everyone is moving to big data, is in integration. If your systems can’t talk to each other, there is limited power in that data. The Profisee tool, and MDM in general, really helps to integrate and get as much out of your data as possible.”

Who is Vituity?

Vituity is a physician-led and physician-owned Partnership, that combines clinical excellence with business acumen to help healthcare organizations raise the standard of patient care and improve their performance metrics. Their largest practice line is emergency medicine, but their clinical footprint has expanded rapidly over the last decade to include more practice lines. Vituity is now in 18 states with over 400 practice locations, which serve 6.5 Million patients’ lives annually. Within those practice locations, they have 3,000+ Physician Partners and 1,400+ Advanced Partners.

The Problem:

With Vituity’s growing footprint in the healthcare field, a substantial amount of data was flowing in from multiple data sources which then had to be properly validated and merged. Dealing with these ‘siloed’ data sources resulted in redundant effort, poor visibility and operational errors and inefficiency – none of which was acceptable for a fast-growing business!

This does not mean the data from the source systems was ‘bad’ – only that it had been created in each system under differing rules and requirements and that some consistency had to be imposed so they could have a single, integrated source of truth for reporting, decision-making and operational efficiency.

The Approach:

Vituity looked at a couple of approaches to solving their ‘data silo’ problem that they found would not work:

  • They looked at using existing systems as ‘master data sources’ but found that these systems have no ability to manage data in other systems
  • They also tried custom coding to merge data into a custom-built data warehouse, but this proved to be a lot of effort and too difficult to maintain

Ultimately Vituity chose to move forward with Profisee MDM to accommodate multiple key master data domains and the data interactions around them. Vituity also noted that they need to develop improved processes around Data Governance, and that in the short term, these would be more than covered by their MDM implementation.

The Solution:

One thing that was immediately clear to Vituity (and key to their MDM selection criteria) was that they would need to master multiple data domains in order to drive the broad business requirements.

“Start with 1 domain for simplicity BUT there is no chance there is a business out there that only has one domain to be mastered.”
  1. Provider (doctors, nurses, other healthcare providers)
  2. Facility/Location (practice lines, hospitals)
  3. Patient
  4. Payer Contracts (insurance companies)
  5. Reference Data Management

Provider:

Like most healthcare organizations, Vituity must manage their Provider data (doctors, nurses, and other healthcare providers) for both practical as well as compliance reasons. More than any other master data entity, Provider data touches on many parts of the business, from reporting to time scheduling. For this reason, Provider data lives in many systems from credentialling to billing and legal and all that data must be matched, merged, validated, and corrected if it is to be used as a trusted source of information. Cleaning and harmonizing Provider data across these systems reduce billing errors and inconsistencies, avoids redundant effort, and enables accurate reporting.

Facility/Locations:

Vituity has healthcare providers in a lot of locations, but simple spelling errors (or abbreviations such as “St Lukes” or “Saint Luke’s”) were causing billing errors that took precious time to correct. By mastering Facility/Location data once and having all other systems use that as their ‘reference’ a lot of simple errors and rework effort is avoided.

Patient:

The Patient domain was a natural focus for Vituity when they started their MDM journey. Their goal was to enable tracking of patients throughout their care experience, resulting in better care and better metrics for the quality of care from readmission rates to identifying the most cost-effective treatments as well as avoiding redundant data entry work.

Payer Contracts:

Vituity partners with several different insurance companies across the healthcare sector. By mastering the Payer Contracts domain, they will be able to standardize insurance companies’ names and contract details across their organization, allowing Vituity to share consolidated, corrected and harmonized Payer Contracts data across all business units immediately.

Reference Data:

Reference Data can span a wide variety of use cases but the idea is to take reference data that may be used across several systems and master it as a series of MDM domains that can become a common reference for all the systems that need it. In the case of Vituity they plan to centralize CPT codes, ICD9/10 codes, and CCS Diagnostics codes among others. This reduces redundant effort across systems and avoids the possibility of different version of the reference data being used in different systems

The Wins:

Vituity started with the goal of improving the consistency, accessibility and usability of their data, but unlike many starting out MDM practitioners they did not limit their thinking to only one master data domain or use case. They thought ahead to consider all the major domains that impact their business and built a phased delivery plan, knowing they would likely have to accommodate even more in time.

“We knew that once we started this journey that other business owners would come out of the woodwork…and say “Hey! Help us with this problem,” and we would have a ready solution.” 

The benefits of data mastering are many, but generally fall into two categories:

  1. Reporting, metrics and insight – Without consistent trusted data it is not possible to create meaningful reports or get insight into how the business is running and metrics from utilization to profitability. It is also enables critical insight around effective healthcare delivery and metrics such as readmission rates.
  2. Operational efficiency – Synchronized, trusted data means reduced data entry, errors and rework and that impacts all areas of the business, from accurate credentialling to patient scheduling to billing. Well managed data also enables management to identify and then institute changes with speed en efficiency when they are not held back by inconsistent and unmanaged data.

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