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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Nephrolytics, Inc.
Nephrolytics, Inc.

Nephrolytics, Inc.

Founded 2023

Manage nephrology workflows by unifying patient records and automating clinical SOAP notes

Pricing model

Demo

You can use Nephrolytics to manage kidney care clinical records and practice operations from a single dashboard. It gathers patient data across electronic medical records, lab results, and pharmacy systems to build comprehensive summaries. Clinicians can generate automated SOAP notes during visits, monitor disease progression, and assess patient risk factors in real time. The system also tracks practice finances, models predictive revenue trends, and identifies coding gaps to support value-based care programs like Medicare Advantage and CKCC without adding documentation work for clinic staff.

What Nephrolytics, Inc. does

Generate clinical SOAP notesConsolidate patient lab and pharmacy recordsReview patient clinical summariesTrack kidney disease progressionIdentify clinical billing and coding gapsForecast practice revenue and resource allocationAudit compliance for value-based care programsAuto-generates clinical SOAP notes from patient encountersAggregates medical records across EMRs, laboratories, and pharmaciesProduces patient summaries for rapid chart reviewTracks disease progression and flags clinical risk factorsMonitors practice revenue trends and resource distributionIdentifies coding opportunities to improve billing accuracyAligns clinical documentation with value-based care programs like CKCC

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Major EMR/EHR Systems, Pharmacy Information Systems, Laboratory Information Systems (LIS), HL7 Data Exchange, FHIR Standards, CCD (Continuity of Care Document)

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Nephrolytics, Saya, Lumi, nephrology care, kidney care, clinical documentation, SOAP notes, EMR integration, chronic kidney disease, ESRD care, value-based care, CKCC, clinical insights, medical coding accuracy, healthcare analytics, patient data aggregation