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“Why Datavant?” — The Answer to the Question I Ask the Most

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Holly May
December 22, 2018

“Why Datavant?” — The answer to the question I ask the most

In virtually every one of the 111 job interviews I conducted this quarter, I asked: “so, why are you interested in Datavant?”

I joined 5 months ago — I was recently on the other side of the table. I have thought a lot about this answer, both as a candidate and now as Head of People and Operations.

Every candidate we hire tends to have their choice of job opportunities; we compete for talent with every other startup and with everything from Google to McKinsey to graduate school to hedge funds. There are dozens of valid reasons for the anticipated “Why X?” interview question: mission, industry, product, geography, role, culture, manager, mentorship, fun, short-term compensation, equity, caliber of talent, growth opportunities, and more.

No company can be everything to everyone. We try to score well on many of these (and especially high on caliber of team, culture, mentorship, and impact of mission). But we’re seeking to be truly best in the world on one dimension: personal growth.

Optimizing for Personal Growth

For candidates who optimize for personal growth, I think we can be one of the best companies in the world.

For the mathematically inclined, Datavant offers the best derivative on your capabilities and knowledge: Datavant offers the highest d(your capabilities)/d(time) for 2 reasons:

  1. Pace of company growth
  2. Cultural value on personal growth

Pace of company growth

It’s been 15 months since we were founded, and we’ve had a lot of progress: we’ve gone from merely ideas in a Google doc to:

  • raising $40 million
  • completing an acquisition & integration
  • building a rockstar team of 25 (+3 accepted offers for January)
  • building a strong product that generates meaningful value for dozens of customers
  • generating several million dollars of ARR and growing fast

That’s a lot. We have lofty ambitions (connecting the world’s health data to improve patient outcomes) and every aspect of our company — sales, customers, product offering, headcount — is growing extremely fast in pursuit of our vision. Datavant is growing much faster than the vast majority of employers, where a common model for a successful employee is: join, go through a phase of orientation and training, then climb the functional and cultural learning curve to succeed, then plateau and sustain a level of comfort or mastery.

Datavant is growing much faster than the well-known client services firms and titans of tech, with their model of join, orientation, steep learning curve, then sustained mastery until a promotion cycle or role rotation cycle happens, when the learning curve starts again. A successful employee here has a d(capabilities)/d(time) with stepwise shape. At most of these companies, both the career ladder and scope of roles are defined.

Due to the vastness of our vision and our pace of growth, there’s always more to accomplish, more value to deliver to customers, new problems to solve. The scope of new challenges yet unsolved is vast and this motivates Datavanters.

Cultural value on personal growth

Even as we grow quickly, we have a strong culture of putting people into stretch roles and promoting from within. One of our culture values is to “grow leaders, don’t hire managers” — meaning we like to start someone from day 1 with significant projects (e.g., immediately owning customers or accounts, presenting a strategy to the CEO after 9 work days) and keep them in a stretch role, and ensure they’re still stretching years later.

Role scope and company size are often inversely proportional. Smaller companies have bigger roles, while bigger companies have smaller roles for most employees. At smaller-sized companies, not only are the job descriptions wider and more ambiguous, there is plenty of unowned territory in between roles, meaning you can grow and take on new topics and flex new muscles. At larger companies, roles tend to be defined clearly, with narrow and inelastic boundaries, and two colleagues’ job descriptions may directly abut one another, leaving no space to stretch. This means for any role you take at Datavant today, from software engineer to business operations to customer success, you have a huge amount to own, to learn, to impact, and to grow. You get to make a lot of decisions per day. No one gets bored.

But even among high-growth startups, an intense commitment to personal growth culture is unusual. Most companies hire above their existing employees as they scale. We look for ways to not do that, investing in as much training, mentorship, and stretch projects as possible.

A Compounding Effect

Just like investments over time, personal growth tends to be exponential. Early-career individuals often have the capacity to increase their personal skills at 2–3x per year. Most top employers create opportunities for ~50% year-over-year personal growth, because the company isn’t growing quickly enough and/or because they don’t promote from within or put people into stretch roles. While the difference between 2x and 50% doesn’t seem like much initially, it very quickly compounds — within a few years, people who have optimized for personal growth and taken advantage of the right opportunities have dramatically different career trajectories, influence, and impact.

Knowing What Makes Us Different

Datavant is not for everyone, and we are equally attentive to what are are not.

We’re not a 40 hour workweek, we don’t have gyms and salons on campus, we’re a new brand that isn’t widely known (yet), we don’t fly in first class, and we have a fair amount of constant internal change that comes with growth.

These are all reasonable things for people to care about. This is why I always ask candidates “Why Datavant?” — to make sure we’re the right fit for them as well. But when an important attribute to a great candidate is personal growth — we know we can be the optimal place for them.

— — —

Datavant is hiring across many roles.

Spotlight on AnalyticsIQ: Privacy Leadership in State De-Identification

AnalyticsIQ, a marketing data and analytics company, recently adopted Datavant’s state de-identification process to enhance the privacy of its SDOH datasets. By undergoing this privacy analysis prior to linking its data with other datasets, AnalyticsIQ has taken an extra step that could contribute to a more efficient Expert Determination (which is required when its data is linked with others in Datavant’s ecosystem).

AnalyticsIQ’s decision to adopt state de-identification standards underscores the importance of privacy in the data ecosystem. By addressing privacy challenges head-on, AnalyticsIQ and similar partners are poised to lead clinical research forward, providing datasets that are not only compliant with privacy requirements, but also ready for seamless integration into larger datasets.

"Stakeholders across the industry are seeking swift, secure access to high-quality, privacy-compliant SDOH data to drive efficiencies and improve patient outcomes,” says Christine Lee, head of health strategy and partnerships at AnalyticsIQ. 

“By collaborating with Datavant to proactively perform state de-identification and Expert Determination on our consumer dataset, we help minimize potentially time-consuming steps upfront and enable partners to leverage actionable insights when they need them most. This approach underscores our commitment to supporting healthcare innovation while upholding the highest standards of privacy and compliance."

Building Trust in Privacy-Preserving Data Ecosystems

As the regulatory landscape continues to evolve, Datavant’s state de-identification product offers an innovative tool for privacy officers and data custodians alike. By addressing both state-specific and HIPAA requirements, companies can stay ahead of regulatory demands and build trust across data partners and end-users. For life sciences organizations, this can lead to faster, more reliable access to the datasets they need to drive research and innovation while supporting high privacy standards.

As life sciences companies increasingly rely on SDOH data to drive insights, the need for privacy-preserving solutions grows. Data ecosystems like Datavant’s, which link real-world datasets while safeguarding privacy, are critical to driving innovation in healthcare. By integrating state de-identified SDOH data, life sciences can gain a more comprehensive view of patient populations, uncover social factors that impact health outcomes, and ultimately guide clinical research that improves health. 

The Power of SDOH Data with Providers and Payers to Close Gaps in Care

Both payers and providers are increasingly utilizing SDOH data to enhance care delivery and improve health equity. By incorporating SDOH data into their strategies, both groups aim to deliver more personalized care, address disparities, and better understand the social factors affecting patient outcomes.

Payers Deploy Targeted Care Using SDOH Data

Payers increasingly leverage SDOH data to meet health equity requirements and enhance care delivery:

  • Tailored Member Programs: Payers develop specialized initiatives like nutrition delivery services and transportation to and from medical appointments.
  • Identifying Care Gaps: SDOH data helps payers identify gaps in care for underserved communities, enabling strategic in-home assessments and interventions.
  • Future Risk Adjustment Models: The Centers for Medicare & Medicaid Services (CMS) plans to incorporate SDOH-related Z codes into risk adjustment models, recognizing the significance of SDOH data in assessing healthcare needs.

Payers’ consideration of SDOH underscores their commitment to improving health equity, delivering targeted care, and addressing disparities for vulnerable populations.

Example: CDPHP supports physical and mental wellbeing with non-medical assistance

Capital District Physicians’ Health Plan (CDPHP) incorporated SDOH, partnering with Papa, to combat loneliness and isolation in older adults, families, and other vulnerable populations. CDPHP aimed to address:

  • Social isolation
  • Loneliness
  • Transportation barriers
  • Gaps in care

By integrating SDOH data, CDPHP enhanced their services to deliver comprehensive care for its Medicare Advantage members.

Providers Optimize Value-Based Care Using SDOH Data

Value-based care organizations face challenges in fully understanding their patient panels. SDOH data significantly assists providers to address these challenges and improve patient care. Here are some examples of how:

  • Onboard Patients Into Care Programs: Providers use SDOH data to identify patients who require additional support and connect them with appropriate resources.
  • Stratify Patients by Risk: SDOH data combined with clinical information identifies high-risk patients, enabling targeted interventions and resource allocation.
  • Manage Transition of Care: SDOH data informs post-discharge plans, considering social factors to support smoother transitions and reduce readmissions.

By leveraging SDOH data, providers gain a more comprehensive understanding of their patient population, leading to more targeted and personalized care interventions.

While accessing SDOH data offers significant advantages, challenges can arise from:

  • Lack of Interoperability and Uniformity: Data exists in fragmented sources like electronic health records (EHRs), public health databases, social service systems, and proprietary databases. Integrating and securing data while ensuring data integrity and confidentiality can be complex, resource-intensive and risky.
  • Lag in Payer Claims Data: Payers can take weeks or months to release claims data. This delays informed decision-making, care improvement, analysis, and performance evaluation.
  • Incomplete Data Sets in Health Information Exchanges (HIEs): Not all healthcare providers or organizations participate in HIEs. This reduces the available data pool. Moreover, varying data sharing policies result in data gaps or inconsistencies.

To overcome these challenges, providers must have robust data integration strategies, standardization efforts, and access to health data ecosystems to ensure comprehensive and timely access to SDOH data.

SDOH data holds immense potential in transforming healthcare and addressing health disparities. 

With Datavant, healthcare organizations are securely accessing SDOH data, and further enhancing the efficiency of their datasets through state de-identification capabilities - empowering stakeholders across the industry to make data-driven decisions that drive care forward.

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