K Health

Registered Nurse (Multi-State Licensed) – Contract, 100% Remote

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Health Technology, Artificial IntelligenceIndustries

Who We Are

Founded in 2016, K Health's mission is to deliver accessible, high-quality healthcare at scale. As a leading clinical AI company in primary care, K Health has developed a suite of clinical AI agents that enhance provider efficiency and improve patient outcomes across both online and in-person primary care settings. K Health's primary care platform engages patients through a personalized investigation, informed by relevant medical history from the EMR, to provide primary care providers with comprehensive insights and automated workflows at the point of care. Coupled with patient insights, K Health’s technology empowers providers to make individualized diagnoses and treatment decisions and deliver high-quality medicine at scale.

As a venture-backed startup trusted with nearly $400 million in funding, and a $900 million valuation as of July 2024, K Health is well-positioned for sustained future growth. We continue to partner with a growing roster of major health systems (Cedars-Sinai, Hackensack Meridian Health, Hartford HealthCare), enhancing accessibility and quality of care by pairing people with technology.

K Health is a modern healthcare company that is reinventing the patient, provider, and AI cooperative for a singular, digitally unified, high-quality care delivery mission. Our cross-functional approach integrates deep expertise in clinical care, operations, data science, product, consumer marketing, and engineering into one team that is transforming the experience of patients, providers, and the overall care delivery system. Join us in our mission to deliver smarter, simpler healthcare!

About the Role

We are seeking a licensed Registered Nurse (RN) to provide professional supervision, oversight, evaluation, and guidance to our team of Licensed Practical Nurses (LPNs) in accordance with state nursing board regulations. The candidate selected for this role will ensure that LPN practice is conducted within the scope defined by law, meets all applicable standards of care, and supports the delivery of safe, high-quality patient services. As a contracted employee, this role will require no more than 10 hours per week.

What You’ll Be Doing

  • Maintain compliance with state nursing board requirements for RN supervision of LPNs, including frequency and method of oversight.
  • Verify that LPNs practice within their legal scope, providing direction and intervention when necessary.
  • Co-sign documentation as required by regulation or policy, ensuring accuracy, completeness, and timeliness.
  • Participate in and document supervisory meetings per regulatory timelines.
  • Observe and assess LPN performance, providing feedback, guidance, and corrective action when needed.
  • Ensure patient care is delivered according to established protocols and standards.
  • Identify training needs and provide or recommend targeted education to enhance competency.
  • Maintain clear, accurate, and detailed supervisory records to meet audit and compliance standards.
  • Communicate effectively with LPNs, leadership, and other healthcare team members regarding patient care, safety issues, and performance expectations.
  • Address and document any incidents, adverse events, or deviations from protocol promptly and according to policy.

What We’re Looking For

  • Active, unrestricted Registered Nurse license in good standing (compact license or individual state licenses covering all U.S. states required)
  • 4+ years of clinical supervisory experience as a Registered Nurse
  • Tech-savvy, proactive, organized, detail-oriented, and experienced in telemedicine
  • Clean background and medical malpractice history
  • Prior experience with EPIC EMR
  • Ability to work approximately 10 hours per week (flexible scheduling within agreed-upon parameters)
  • Reliable internet and a private, professional workspace

Benefits & Perks

  • Remote work schedule with flexible working hours

Compensation

  • $49 - $65 USD
  • We offer competitive compensation packages based on industry benchmar

Skills

Registered Nurse
Licensed Practical Nurse supervision
State nursing board regulations
Clinical AI
Primary care
Patient outcomes
EMR
Point of care technology
Data science
Product management
Consumer marketing
Engineering

K Health

AI-driven personalized healthcare subscription service

About K Health

K Health provides personalized medical care using artificial intelligence to assist individuals with various healthcare needs, including primary care, chronic condition management, urgent care, and mental health services. The platform connects users with licensed healthcare providers and utilizes AI tools to deliver data-driven healthcare solutions. K Health operates on a subscription-based model, charging membership fees for access to its services, which are available to adults across the 48 continental U.S. states. Unlike traditional insurance, K Health does not cover ancillary services such as labs, equipment, or medication costs. The company aims to improve healthcare accessibility and affordability, supported by mission-driven investors.

New York City, New YorkHeadquarters
2016Year Founded
$382.1MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, HealthcareIndustries
201-500Employees

Risks

Increased competition from Hackensack Meridian Health's AI-driven platform may impact market share.
Cedars-Sinai's expanded virtual services could draw users away from K Health.
Recent $59M down round funding suggests potential financial instability for K Health.

Differentiation

K Health uses AI to deliver personalized primary care through a digital platform.
The platform offers a free symptom tracker comparing users to similar profiles.
K Health partners with major health systems like Cedars-Sinai for scalable solutions.

Upsides

K Health raised $50M to expand its AI platform and reach.
The shortage of primary care physicians increases reliance on AI solutions like K Health.
Hybrid healthcare models create opportunities for K Health's integration into traditional systems.

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