Machinify
Machinify
Machinify tibbiy sug‘urta rejalari uchun to‘lovlar aniqligini yaxshilashga yo‘naltirilgan sog‘liqni saqlash sohasidagi sun’iy intellekt platformasi va xizmatlar kompaniyasidir. Uning sun’iy intellekt operatsion tizimi da’volar, tibbiy yozuvlar, shartnomalar va siyosatlarni birlashtirib, bazaviy modellarni muayyan vazifalarga moslashtirilgan agentlar bilan uyg‘unlashtiradi. Bu tizim kodlash, to‘lovlar aniqligi, mablag‘larni qaytarish va xarajatlarning oldini olish jarayonlarini qo‘llab-quvvatlaydi. Machinify ichki, gibrid va to‘liq boshqariladigan joriy etish variantlarini taklif etadi, 85 dan ortiq mijozga xizmat ko‘rsatadi va 270 million sug‘urtalangan shaxsni qamrab oladi. Kompaniya har yili 6 milliard dollardan ortiq xarajatlarning oldini olib, mablag‘larni qaytarishini bildiradi.

Senior Claims Editing Content Specialist

Develop evidence-based New York Medicaid claims content for Machinify, validating edits against claims data. Collaborate with Product, Engineering, and Data Science to improve editing logic and workflows.

Tavsif

  • Track coding, payer, and New York Medicaid guidance to inform claims edits
  • Turn coding rules, clinical guidance, and reimbursement policies into precise, testable edit logic
  • Record sources, rationale, and scope to support traceability and appeals
  • Distinguish broadly applicable content from client-specific policy
  • Update content as codes and policies change, and as performance is reviewed
  • Create New York Medicaid content spanning managed care, HARP, behavioral health, FQHC, and long-term care
  • Analyze claims data to test ideas, assess opportunities, and estimate hit rates, false positives, and savings
  • Assess production outcomes, monitoring accuracy, appeals, overturned edits, provider friction, and realized savings
  • Work with Product, Engineering, and Data Science to define requirements, logic, test cases, and AI-supported content workflows
  • Communicate the rationale and impact of content to clients and internal teams, supporting policy reviews, approvals, and appeals
  • During the first 90 days, learn the content portfolio and prioritize New York content gaps and opportunities
  • Within 6–12 months, take ownership of a content area, bring data-validated concepts into production, maintain documentation, improve authoring processes, and show measurable outcomes

Talablar

  • Bring at least seven years of experience in claims editing, clinical coding, payment integrity, or payer policy, including hands-on edit creation or validation
  • Hold an active coding credential such as CPC, CCS, CCS-P, CPMA, or CIC, or a clinical license such as RN combined with substantial coding experience
  • Have current, in-depth knowledge of CPT, HCPCS, ICD-10-CM, modifiers, NCCI, MUEs, coding guidance, and documentation standards
  • Understand reimbursement approaches, including fee schedules, DRGs, APCs, and professional and facility billing
  • Have experience finding and interpreting CMS manuals, NCDs and LCDs, AMA guidance, and payer policies
  • Be analytically strong and comfortable using SQL, Excel, or comparable tools to work with claims data
  • Have collaborated with Product, Engineering, Data Science, or other cross-functional teams
  • Communicate clearly in writing and explain complex coding and clinical reasoning to nonclinical audiences
  • Be curious about AI tools and willing to incorporate them into day-to-day content work
  • Have at least three years of experience with New York State Medicaid policy, billing, or payment integrity, including eMedNY, APGs, APR-DRGs, and NYS DOH and OMIG guidance
  • Exercise sound judgment and work comfortably in a fast-paced, scaling environment

Imtiyozlar

  • Paid time off, holidays, and volunteer days
  • Eligible for health, vision, and dental coverage
  • 401(k) participation with an employer match
  • Flexible spending accounts
  • Tuition reimbursement
  • Company-paid life insurance
  • Company-paid short-term disability coverage
  • Company-paid parental leave
  • Remote and hybrid work options