Why Thynk
لماذا تختار ثينك
THYNK is a fully integrated AI-based real-time rules edit engine that supports medical billing processes for immediate tangible financial value. It detects policy violations in real-time at each touchpoint of the patient’s journey.
Patient Eligibility & <br />Pre Approval Checks
KSA Regulatory Standards for <br />NPHIES, ICD10 AM, ACHI, <br />Saudi Billing System (SBS)
Supports ICD10 CM, CPT <br />(v. 2018 & 2022) standards <br />in the UAE
HIS integration covering al RCM <br />touch point across the patient journey
Medical Necessity & <br />Documentation Checks
HIS integration covering al RCM <br />touch point across the patient journey
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User friendly, Easy to Set up
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Highlights Revenue Leakage Granulary
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Provides Breakdown of Denials’ Activity Category Wise
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Breaks Down Rejections Severity Wise
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Provides a Quick Glance on Overall Claim Health
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Highlights the Issues & Advises Resolutions
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Download-able Results in Both PDF & Excel Formats
FEATURES & BENEFITS
الميزات والفوائد
Our Rule Content Includes & Supports
Payer
Adjudication logic and patterns related to the specific insurance practice including patient policy or network rules, medical reviews, card formats, and policy benefits linked to claimed services
Medical Necessity:
Rules that review all claim medical activities and identity services that may be subject to lack of medical necessity support on evidence-based clinical standards of care
Billing
Enforcing regulator and contractual billing protocols including verification of medical services fees, mandatory lab results or supporting notes, patient share such as deductible and co-payment, follow-up visits, per-diem, and Diagnosis Related Grouper (DRG) rules
General
Custom rules that can accommodate any provider-specific rules related to business practice or payer-specific agreed contractual terms
Workflow:
Rules related to auto-routing of claims based on defined business workflows related to quality audits or authority matrix for review and approval of complex cases or high value claims
PLANS & PACKAGES
الخطط والحزم
All our solutions are based on flexible pricing
plans to suit a wide variety of business needs
LISENCING OPTIONS
On Premise
Annual Licensing
Cloud Monthly
Subscription
Monthly Per
Claim Transaction
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THYNK has over 4 Million business rules logic (rule edits) to detect and report errors and gaps that may exist in the medical claim
based on the regulatory and payer rules, policies and circulars from major regional regulatory bodies such as:
– Corporate Council for Health Insurance (CHI)- KSA
– Department of Health (DoH)- Abu Dhabi
– Dubai Health Authority (DHA)- Dubai
– Riayati– Northern Emirates
The rules reviews are based on:
– Claim mandatory data elements. Forming the minimal required data set to perform a claim scrubbing rules edits validation.
– Claim optional data elements. To enhance the accuracy and comprehensiveness of rule edits validations.
– Members Insurance Details, such as patient policy particulars.
– Payer Contract and Pricing based rules.
– Patient Demographics, such as age, gender …etc.
– Patient claims/encounters history.
• Core Crosswalks:
– International Crosswalks (CPT-ICD10CM and ACHI/ICD10AM)
– Local Crosswalks Localized UAE and KSA market crosswalks – based on payers/regulator guidelines.
• Extended Crosswalks:
Offering a wider scope extending on core MNEC Crosswalks and will include the following:
– National Correct Coding Initiative Edits (NCCI)
– Medically Unlikely Edits (MUEs)
– Principle Diagnosis Selection (PDx)
– Etiology/Manifestation coding
– Drugs-ICD Crosswalks: Local market Rule Edits
– Gender-ICD Crosswalks. International reference
– Gender-CPT crosswalks: International reference
– Age-CPT crosswalks: International reference
– Maternity-CPT crosswalks: International reference
– Laboratory Panel Coding
– Infusion/injection Coding
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Support for developing business custom rules content managed by a team of expert rule and market expert teams to support
your RCM automation and specific review and validation needs.
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Provides a comprehensive and visualized dashboards as well as tabular representation to help discovering areas for improvements and make your team prepared to act proactively on RCM related issues.
Machine Learning Models
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Advanced Machine Learning (ML) models covering:
a. Historical claims denial and payment patterns and prediction of future denial risk.
b. Denials not covered by rules and propose suggested rules to cover denials risk.
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THYNK provide an API and an integration engine that supports HL7 and Webservices capability to streamline the integration with current HIS solution.
