Datavant
De-identification and linking health data SaaS
Client Coding Project Manager - CCPM
About the job
- A bachelor's degree in a relevant field of study is preferred, or 3–5 years of related work experience as a coder with a minimum of 5 years of coding experience in risk adjustment, including ACA and MA.
- Expert knowledge of risk adjustment.
- At least 1 year of experience in project management.
- Research and problem-resolution skills.
- Proficiency in Microsoft and G-Suite applications, with strong Excel skills.
- Experience initiating, developing, and monitoring policies, internal control procedures, and operating standards.
- Ability to work independently, maintain high productivity, and regularly meet deadlines.
- Ability to demonstrate strong written and verbal communication using correct punctuation, grammar, diction, and professional style.
- Monitor the performance of Risk Adjustment Operations internally and with coding vendors.
- Provide expertise on coding compliance for new and existing services while ensuring compliance with organizational, federal, state, and third-party requirements.
- Assist in communicating information through presentations, reports, educational programs, and memoranda by providing formal and informal education to quality assurance specialists, coding vendors, and staff.
- Report findings to leadership in a timely, consistent, and effective manner and ensure that appropriate changes are implemented.
- Support audit processes by ensuring workflows and results are properly documented and maintained, and identify process improvements as needed.
- Assist in developing an effective training program regarding correct coding techniques and practices.
- Assist with training new auditors and other staff as needed.
- Create methods to share information about the program, quality, and initiatives with management at least monthly.
- Maintain a quality assurance program.
- Help ensure coding compliance and accuracy.
- Perform other duties as assigned.
- Exceptional interpersonal relationship skills.
- Consistent commitment to quality, customer focus, productivity, and process improvement.
- Strong communication skills for effectively interacting with all levels of the organization, business unit leaders, and staff in a tactful and positive manner.
- Exceptional interpersonal skills and demonstrated success in complex and ambiguous environments.
About the company
Datavant provides software to securely share patient data with privacy protections. Its platform de-identifies health information and links records from multiple sources so data can be used together without exposing individuals. The system is delivered as a subscription-based SaaS for hospitals, research institutions, pharmaceutical companies, and public health groups, enabling interoperable data use while maintaining privacy. The goal is to enable privacy-preserving exchange of health information to support research, patient care, and public health initiatives.
Company Size
5,001-10,000
Company Stage
Series B
Total Funding
$80.5M
Headquarters
San Francisco, California
Founded
2017
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Simplify's Take
What believers are saying
- Provider Exchange launched August 27, 2026, cutting retrieval from days to hours.
- Datavant opened its Galway R&D center April 29, 2026 with 100 hires.
- Labcorp, AWS, and Datavant launched an Alzheimer’s platform on April 16, 2026.
What critics are saying
- Datavant Group settled a May 2024 breach for $900,000 on May 21, 2026.
- Montefiore’s September 1, 2026 AI denials workflow invites clinician backlash and scrutiny.
- TEFCA, Carequality, and AWS Clean Rooms compress Datavant’s moat by 2027.
What makes Datavant unique
- Datavant’s August 27, 2026 Provider Exchange sits on 80,000 provider sites.
- Datavant’s network spans records, claims, labs, and real-world data, unlike point tools.
- Datavant’s privacy infrastructure turns consented health data into reusable workflows, not raw files.
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Benefits
Competitive Salaries & Rewards
Generous Parental & Family Leave
Ability to work anywhere in the US and Canada
Meaningful equity
Competitive Benefits – Full Family Coverage
WFH Stipend & Monthly Credit
Commitment to Learning & Development
Unlimited PTO
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 2%Bronx Times Opinion | Montefiore just replaced nurses with AI, that's not good for patients. Marilyn Shuler (left) is a member of the New York State Nurses Association and has worked for 39-years as a nurse at Montefiore Medical Center. Insurance companies deny claims all day long. They'll deny doctor-ordered surgeries, medical stays, scans, and weeks of rehab patients need to walk again. Most people read a denial letter and assume it is final. The reason it's not is utilization management nurses. When a denial comes in, we read a patient's chart, compare it to clinical criteria, and write the case for why the care should be covered. Our patients don't generally know how it happens, they just know they get the treatment they need. Montefiore recently laid off twelve of these nurses, and replaced us with two doctors and AI software. On Sept. 1, the layoffs went into effect. Datavant, the private-equity-backed firm selling the software, claims it will manage insurance denials with artificial intelligence (AI). The bet is that software can do a job people spend years learning to do well. Sadly, the cost of that miscalculation will not land on the hospital's executives. It will land on patients in the Bronx. Many of our patients live with multiple chronic conditions, and often their charts don't match any standard template. Software programs aren't trained to assess these cases. Denials must be reversed by someone with decades of bedside experience navigating complicated cases. This type of judgement can't be programmed. It's dangerous to think software can replace clinical judgement. When AI is left to decide which appeals are worth pursuing, the complicated cases are let go, which can result in a missed diagnosis or a critical surgery that never gets approved. We also have to ask what exactly Montefiore is buying. Datavant has not published the dollars and cents of what the software recovers. The few public figures in this industry come from its competitors, who describe recovering somewhere between roughly one and four percent of a hospital's revenue. There is no independent, published evidence that any of this software matches the judgment of an experienced nurse, let alone beats it. The software holds some of our patients' most private information, including medical records that can include immigration status. In an area with one of the largest immigrant populations in the country, this is incredibly dangerous. In recent years, Datavant and affiliated companies have disclosed data breaches, including one exposing nearly sixty thousand patient records. Datavant also partners with Palantir - the company behind the technology that allows ICE to surveil and target immigrants for deportation - on two major projects. How will Montefiore protect patients' files and personal information, including immigration status? As members of the New York State Nurses Association, we bargained for contract language to protect patient care and to keep us from being replaced by AI or unproven technology. These layoffs are not "innovation." They are a short-sighted and small cost cut, poised to do more harm than good. Although nurses sounded the alarm about the dangers of these layoffs and tried to work with hospital executives to find alternatives, Montefiore moved ahead with the displacement. Montefiore has a near monopoly in the Bronx. Our patients are poorer and sicker than almost anywhere else in New York, and far more likely to be immigrants, which is the whole reason a human being in their corner matters when an insurer pushes back. Our ask of Montefiore's leadership is simple. Keep utilization management nurses where patients can still reach us and talk to us. Use technology to make clinicians faster, not to replace us and our years of advocacy and dedicated service to Bronx patients. The Bronx needs more nurses, not less. No nurse should lose their job as a result of these short-sighted layoffs, and no patient should be denied care because an algorithm is not a patient advocate. Care in the Bronx has always run on people who refuse to accept no as the final word. This advocacy in patient care is what we are fighting so hard to protect. Marilyn Shuler, RN, is a member of the New York State Nurses Association, and has worked for 39-years as a nurse at Montefiore Medical Center. All comments are subject to our Community Guidelines. Schneps Media does not endorse the views shared by readers in our comment sections.
Neuberger and KKR have agreed to acquire a significant minority stake in Datavant, a healthcare data collaboration platform. New Mountain Capital, which has been invested in Datavant since 2014, will retain its control position. Datavant operates the nation's largest health data ecosystem, connecting patients, providers, payers, and other healthcare entities. The company's network reaches over 80,000 providers, 75 of the top 100 health systems, and 350-plus ecosystem partners. Its healthcare data touches 90% of the US population and 80% of Medicare Advantage plan participants. The new partnership will support Datavant's strategic vision and growth. CEO Kyle Armbrester said the investors align with the company's mission to make health data secure, accessible, and actionable.
Datavant's new platform could cut record retrieval time from days to hours. Datavant launched a new provider exchange platform, which replaces fax-based record requests with a digital workflow. It aims to give care teams real-time visibility into request status while easing the administrative burden on clinical staff. By Katie Adams on August 27, 2026 11:36 am Healthcare providers have more ways than ever to exchange health data, but getting medical records from another provider often still means relying on fax machines, emails, phone calls, and manual follow-ups. Datavant is trying to help fix this problem through a new platform designed to help providers request, track and receive records digitally. This provider exchange network, launched Thursday, is designed to give care teams better visibility into record retrieval workflows, as well as reduce the administrative work involved in coordinating care. The platform lets providers submit records requests directly through Datavant's existing network of connected providers, rather than needing to conduct manual outreach to hunt down documentation. presented by What if health plans could identify member decline before an avoidable hospitalization occurs? Real-time clinical visibility into long-stay SNF members uncovers risk earlier and drives better outcomes. Requests that once took a week or more to fulfill can now come back in under 24 hours, and in some cases within just an hour or two, said Andrea Kowalski, senior vice president of provider products at Datavant. "We already have the largest network of connected providers in the country," Kowalski stated, "so Provider Exchange really puts that same infrastructure to work for providers themselves, not just outside requesters." One early customer in the tissue and organ donation field - where clinicians typically have just a day or two to review a potential donor's medical history - is already using the platform to speed up that time-sensitive record retrieval, she added. To use the platform, providers need minimal training. Kowalski noted that early users have been able to get up and running in less than a week. presented by In an interview, Kyan Health Co-Founder and Chief Commercial Officer Konstantin Struck discussed how Kyan gives mid-market and enterprise employers access to premium workforce mental healthcare, at a price point that is affordable. Fax remains a surprisingly common method for healthcare record exchange. Kowalski recalled a recent conversation with a client advisory board member who was startled to learn their own organization was still sending about 25,000 requests a year by fax. She said Datavant's network has given the company a unique perspective into just how much of that volume could move online instead. In Kowalski's eyes, Datavant's new platform is complementary to existing health information exchanges such as TEFCA and Carequality. Its first phase runs on Datavant's own network of connected health systems, but the company plans to expand connectivity to additional third-party exchanges over time, she noted. Kowalski said the effort ultimately comes down to two connected goals: giving patients faster, more coordinated care and lifting some of the administrative burden off provider staff. "We're really trying to streamline that workflow and take it off of especially clinical staff so that they can focus on patient care," she remarked. Turnaround times will still vary depending on the system on the other end of a request, she added, but Datavant's broader aim is to push retrieval closer to real time across the board.
Datavant has launched Provider Exchange, a digital platform designed to streamline medical record retrieval for healthcare providers. The platform addresses inefficiencies in traditional paper and fax-based workflows that often delay patient care and burden staff. Built on Datavant's network of over 80,000 healthcare provider sites covering more than 40% of US healthcare organisations, Provider Exchange centralises retrieval workflows into a single, trackable system. The platform enables real-time visibility into request status and digital delivery of medical records. The solution supports continuity of care workflows, specialty referrals, and care coordination. It aims to reduce delays in time-sensitive situations, such as tissue donation and transplant coordination, where timely record access directly impacts clinical decision-making. Provider Exchange reflects Datavant's broader vision for connected healthcare, moving beyond interoperability infrastructure towards operationally usable workflows.
Healthcare data technology market: Challenges in privacy and compliance. Healthcare organizations are sitting on more data than ever before - electronic health records, connected devices, claims, imaging, and real-world evidence - and the race is on to turn that raw information into something usable. That race is fueling rapid growth in the healthcare data technology market, a space built around integrating, standardizing, securing, and monetizing health data at scale. Here's a closer look at where the market stands today, what's driving it forward, and the roadblocks still standing in the way. Key Market Facts The global healthcare data technology market was valued at USD 3.1 billion in 2024 and is projected to grow from USD 4.0 billion in 2026 to USD 9.5 billion by 2033, expanding at a compound annual growth rate of 13.4% between 2025 and 2033. A few other numbers worth noting: * North America led the market in 2024, capturing a 46.5% revenue share, while Asia Pacific is on track to be the fastest-growing region going forward. * By technology, the health data integration and monetization segment dominated in 2024, holding more than 66.55% of total revenue, as providers work to unify EHRs, clinical trial data, and real-world evidence into single, usable pipelines. * The data harmonization and structuring segment, though smaller today, is expected to post the fastest growth rate of any segment over the forecast period, largely thanks to AI and NLP tools that can standardize messy, unstructured clinical data. * EHR adoption remains the backbone of this demand: as of December 2024, roughly 88% of U.S. office-based physicians were using an EMR/EHR system, with nearly 78% on a certified platform - a base that keeps generating more data to integrate and analyze. * The competitive landscape is notably fragmented, with dozens of established and emerging vendors - including IQVIA, Veeva Systems, Oracle (Cerner), Optum, Datavant, TriNetX, and Flatiron Health - all competing for share, which keeps innovation and partnership activity high. Major Industry Trends AI and advanced analytics are moving from pilot to production. Vendors are embedding generative AI and machine learning directly into data platforms rather than treating them as add-ons. Oracle's newly launched AI Data Platform, for example, is designed to help enterprises build AI-ready data lakes and deploy AI-driven applications directly on top of unified data. Global harmonization initiatives are reshaping the data landscape. Governments and health systems are investing heavily in standardizing and connecting fragmented health records. Europe's Health Data Space regulation, formally adopted in 2025, sets a legally binding framework for cross-border health data access across the EU, covering both direct patient care and secondary research use. The UK has committed roughly £600 million toward a national Health Data Research Service, while Germany has launched a similarly ambitious medical informatics funding program - all aimed at making health data more accessible for research and care. Discover more Internet & Telecom Commercial Distribution Public Relations Interoperability is becoming a regulatory mandate, not just a best practice. In the U.S., federal regulators have intensified enforcement of information-blocking rules under the 21st Century Cures Act, pushing providers and vendors to make electronic health information more freely accessible and exchangeable. Strategic partnerships and M&A are accelerating capability-building. Rather than building every capability in-house, companies are teaming up or acquiring their way into new strengths - from IQVIA and Veeva's long-term global partnership to streamline clinical trials, to Samsung's acquisition of digital health platform Xealth, to Commvault's move to acquire data security firm Satori Cyber to strengthen protections around AI training data. Social determinants of health (SDOH) and real-world data are being folded into core platforms. Partnerships like HealthEdge and Unite Us embedding SDOH data into care management platforms reflect a broader shift toward more holistic, value-based data models that go beyond clinical records alone. Emerging technologies are tackling harmonization at scale. Graph databases, federated learning frameworks, and AI-driven semantic mapping are increasingly used to link genomic, clinical, and multi-institutional datasets - enabling collaborative research without centralizing sensitive patient data. Need data specific to your market or segment? This report can be tailored with additional countries, segments, or data points to match your exact research needs - with free customization available on purchase. Request Report Customization Primary System Challenges Data fragmentation across legacy systems. Many healthcare organizations still operate with claims, patient records, and lab results scattered across disconnected legacy systems, creating operational bottlenecks and slowing down everything from claims processing to clinical research. Regulatory complexity and compliance costs. Stringent privacy and security frameworks - HIPAA, GDPR, and a growing patchwork of regional health data governance rules - demand robust compliance and audit capabilities. While these regulations push innovation in secure data management, they also add real implementation complexity and cost for both providers and vendors. Discover more Communications & Media Studies communication Interoperability gaps between platforms. Despite widespread EHR adoption, getting different systems to talk to each other in a standardized way (HL7/FHIR and beyond) remains a persistent hurdle, particularly for organizations trying to merge imaging, genomic, and unstructured clinical data. Balancing data monetization with privacy. As organizations look to unlock value from health data - through analytics, research partnerships, or licensing - they must simultaneously protect patient privacy, driving demand for de-identification, pseudonymization, and governance tools that can slow down time-to-insight. Scalability under growing data volumes. As data volume and variety expand (from wearables, genomics, and real-world evidence), organizations need cloud-native, auto-scaling infrastructure - a shift that isn't trivial for institutions still running on manual or semi-automated processes. Regional disparities in infrastructure and investment. While North America and Europe are pushing ahead with major national data initiatives, regions like Latin America and parts of MEA are still working to modernize foundational health data infrastructure, creating uneven adoption rates globally. The bigger picture: healthcare data technology is no longer a back-office IT concern - it's becoming central to how care gets delivered, how research gets funded, and how health systems compete. Organizations that solve for interoperability, compliance, and scalability today will be the ones best positioned to capture value as the market roughly triples in size by 2033. Discover more communications Business & Industrial Want the Full Picture? See who's leading the market. Get access to detailed profiles of the key players shaping the healthcare data technology space - including IQVIA, Veeva Systems, Oracle, Optum, Datavant, and more - along with their strategies, partnerships, and market positioning. 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