The startup provides a healthcare IT platform that enhances price transparency by integrating data from providers, patients, and payers to facilitate value-based care decisions. This technology enables informed decision-making for physicians and patients, ultimately improving patient-centered outcomes in a complex healthcare ecosystem.
Funding
$5.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The healthcare industry struggles with price opacity, hindering the shift from fee-for-service to value-based care. Physicians lack readily available data on treatment costs and reimbursements at the point of care. Patients are often unaware of the financial implications of different treatment options, limiting their ability to make informed decisions.
Solution
Quiddity Solutions offers a healthcare IT platform that delivers real-time price transparency, enabling value-based care decisions. The platform aggregates clinical effectiveness and cost/reimbursement data from disparate sources, presenting evidence-based treatment options to physicians. By correlating treatment options with patient-specific insurance plans, the system calculates patient costs, provider costs, and payer reimbursements in real-time. This allows physicians to compare treatment plans based on both clinical effectiveness and cost, facilitating shared decision-making with patients and promoting patient engagement in care/cost discussions. The platform aims to improve patient outcomes while reducing overall healthcare costs by enabling informed choices at the point of treatment planning.
Target Audience
The primary target audience includes healthcare providers seeking to improve practice profitability and transition to value-based care models, as well as payers aiming to reduce costs through improved data interchange and informed decision-making.
Features
- Real-time display of evidence-based treatment options with clinical effectiveness data.
- Correlation of treatment options with exact cost/reimbursement data based on individual patient health insurance plans.
- Calculation of patient cost, provider cost, and payer reimbursements in real-time.
- Aggregation of data from multiple disparate sources into a single platform.
- Facilitation of value-based comparisons of treatment options.
- Support for shared decision-making between physicians and patients.