Provider Solutions

Simplify Risk Capture Across the Care Continuum

Leverage NLP-powered clinical insights to not only support a larger risk adjustment program, but create more effective care plans and net uncollected revenue hiding in plain sight.

As risk-sharing contracts continue to proliferate, providers must balance the reimbursement requirements of multiple payment models. This is especially true for programs like Medicaid, where reimbursements are harder to predict and manage. Operating within different value-based care and fee-for service approaches simultaneously creates financial and care management challenges, if care teams aren’t supported with the proper tools and resources to identify and address risk and quality gaps for all patient populations.

But the transition to value-based care doesn’t have to be complicated. The right infrastructure investment can provide a comprehensive view of health statuses and inform risk adjustment across multiple populations, payers, contracts, and EHR systems within a single workflow for a simple and universal process regardless of reimbursement model.

A New View for Value-Based Care

By augmenting the standard patient encounter lifecycle with EHR-integrated, workflow-based insights sourced from clinical documentation, the task of developing an accurate portrayal of the disease burden across varying patient populations becomes simpler and more balanced across the care team.

Armed with the analytics to identify and prioritize, the tools to engage and document, and the safeguards to support and manage those patients most in need of targeted interventions, risk adjustment and quality initiatives can be efficiently addressed to ensure better patient outcomes.

Our Modular Solution Suite Allows Providers to:

  • Identify the patients that need to be seen
  • Address and close care gaps
  • Equip the physician with evidence to determine suggestion validity
  • Ensure proper condition documentation
  • Populate the claim
  • Manage risk for multiple models, including Medicaid
Lumanent Provider Workflow Suite Health Fidelity

How to Get There

Health Fidelity’s technology-enabled workflows facilitate complete and accurate risk capture:

Pre-Encounter Review Risk Adjustment Software

Pre-Encounter Prep

Identify high-probability, suspected risk gaps from multiple patient populations

Simplify chart prep and utilize non-physician resources to increase confirmation rate before physician review



Deliver high-probability gaps to physicians through the EHR to be reviewed at the point-of-care

Facilitate proper documentation and closure of identified gaps

Post-Encounter Review Risk Adjustment Solution

Post-Encounter Review

Identify and close gaps in documentation and coding before the bill is submitted

Leverage NLP to increase review productivity, accuracy, and efficiency

Pre-Encounter Prep Workflow

Pre Encounter Workflow Risk Adjustment

  • 1NLP processes patient’s historical clinical data from EHR alongside claims history to identify suspected risk capture gaps
  • 2Office staff conducts patient outreach and scheduling based on stratification of identified risk
  • 3Clinical Review Specialist (CRS) inspects scheduled patients’ identified gaps in a prioritized work queue
  • 4(Optional) A query to the physician can be generated for additional verification for pre-encounter chart prep
  • 5(Optional) Verified conditions can be added to the problem list or pre-encounter chart documentation



Pre-Encounter Prep Data Sheet »

Point-of-Care Workflow

Point of Care Risk Adjustment Solution Workflow

  • 1Identified gaps (that have been verified by the pre-encounter workflow) are pushed into the EHR; or
  • 2NLP-identified gaps are directly pushed into the EHR
  • 3Physician reviews outstanding gaps during the patient visit and “accepts” or “rejects” the identified gaps
  • 4Accepted conditions are automatically added to the EHR’s problem list, visit diagnoses, and if chosen, to the physician documentation

Post-Encounter Review Workflow

Post-Encounter Review Workflow Risk Analytics

  • 1NLP processes encounter documentation and identifies documented diagnoses that have not been coded
  • 2A prioritized coding queue is create based on gap closure opportunity identified
  • 3Coder reviews NLP-identified coding opportunity for additions and deletions of diagnoses
  • 4(Optional) A query to the physician can be generated for diagnoses that require further documentation
  • 5Identified coding gaps are closed via addition or removal of diagnosis codes to/from claims


Post-Encounter Review Data Sheet »

Provider Solutions Support Services

Supplement your transition to technology-enabled risk adjustment with our Support Services:

Professional Services

Consult with our industry experts for a customized review and comprehensive implementation plan that reveals where to focus your risk adjustment activities.

Implementation Support

Ensure timelines, estimates, and expectations are accurate and regularly communicated to project stakeholders with a dedicated account manager during your deployment and throughout the duration of our partnership.

Coding Services

Augment your coding capacity with our highly trained and certified coding staff capable of performing first or second pass reviews using Lumanent Retrospective Review.

“Developing an accurate portrayal of our patient populations’ disease burden is a key organizational goal for our health system. We selected Health Fidelity’s provider workflow solution to standardize the risk capture across our patient population, and do so without burdening our physicians and clinical staff.”

– Dr. Francis Solano
UPMC President Community Medicine

Related Resources on Risk Adjustment Provider Solutions

Learn to pave the road to risk-sharing success in a clinical setting through the combined use of analytics, technology, and subject matter expertise.

Risk adjustment and revenue cycle are becoming increasingly intertwined as more providers take on larger risk contracts under value-based care, shifting the mix away from traditional fee-for-service.

Value-based care is often treated as synonymous with cost reduction. Even the terminology within alternate payment models, shared savings for example, emphasizes that benefits are found in saving money, and therefore reaping a financial benefit.

Discover how to maximize medical record and patient data retrieval to fully leverage our NLP platform.

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