Healthcare Informatics AI Intern

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Point C is a National third-party administrator (TPA) with local market presence that delivers customized self-funded benefit programs. Our commitment and partnership means thinking beyond the typical solutions in the market – to do more for clients – and take them beyond the standard “Point A to Point B.” We have researched the most effective cost containment strategies and are driving down the cost of plans with innovative solutions such as, network and payment integrity, pharmacy benefits and care management. There are many companies with a mission. We are a mission with a company. Point C is seeking a Healthcare Informatics Intern to join our Clinical and Utilization Management team this summer/fall. You’ll work alongside nurses, clinical staff, and operational leaders to analyze healthcare data, surface meaningful insights, and help identify opportunities to improve clinical and utilization management processes through data and emerging AI tools. This is not a shadow-and-observe internship. You’ll have real ownership, real data, and direct exposure to clinical and operational leadership. A strong candidate brings both clinical or healthcare knowledge and comfort working with data - this role is primarily health informatics-focused, with a meaningful AI component spanning data retrieval, trend identification, tool-building, and documentation. The internship is set for 10-12 weeks but may be extended based on business needs. Please note that Point C is unable to provide work sponsorship for this position, now or in the future. This includes students who require employer sponsorship or approval for temporary work authorization, including CPT or OPT. Students must have current, unrestricted authorization to work in the United States both during and after the internship. Primary Responsibilities: Partner with clinical and utilization management teams to understand workflows, data needs, and areas where analysis can improve decision-making and outcomes Use AI tools to accelerate data pulls and surface patterns across large clinical datasets Analyze AI findings to flag trends or anomalies that may not be immediately visible through manual review Leverage AI to support documentation tasks such as drafting summaries, structuring findings, and generating repeatable templates for clinical and operational use Pull, clean, and analyze healthcare data including claims, date of service, provider specialty, utilization patterns, and clinical indicators Identify trends and draw actionable insights from clinical and utilization data to support care management, cost containment, and quality improvement efforts Support the clinical team in understanding benefit structures, plan designs, and how they interact with utilization and outcomes data Identify opportunities where AI or automation could streamline clinical review processes, flag outliers, or reduce manual workload for clinical staff Build lightweight data tools, dashboards, or summary reports to make clinical and utilization data more accessible and actionable Document findings, methodologies, and recommendations clearly so insights are repeatable and usable beyond the internship Present data findings and recommendations to clinical and operational leadership in a clear, accessible format Qualifications: Currently a Senior or Graduate student enrolled in a degree program in Health Informatics, Nursing, Clinical Health Sciences, Public Health, Healthcare Administration, or a related field Clinical or medical knowledge sufficient to understand healthcare terminology, diagnosis and procedure codes, provider specialties, and utilization management concepts Experience working with or analyzing healthcare data, including claims data, date of service, provider information, or clinical documentation Strong analytical skills with the ability to draw meaningful insights from complex datasets Hands-on familiarity with AI tools (such as ChatGPT, Claude, Copilot, or similar) and demonstrated abili

Point C是一家具有本地市场影响力的全国性第三方管理机构（TPA），提供定制化的自筹资金福利计划。我们的承诺与合作意味着超越市场上的典型解决方案——为客户做更多——并带领他们超越标准的“从A点到B点”。我们研究了最有效的成本控制策略，并通过创新解决方案降低计划成本，例如网络与支付完整性、药房福利和护理管理。许多公司都有一个使命。我们是一个带着公司的使命。Point C正在寻求一名医疗信息学实习生，于今年夏季/秋季加入我们的临床与利用管理团队。您将与护士、临床工作人员和运营领导者并肩工作，分析医疗保健数据，揭示有意义的洞察，并帮助识别通过数据和新兴AI工具改善临床与利用管理流程的机会。这不是一个影子观察式实习。您将拥有真正的自主权、真实的数据，并直接接触临床和运营领导层。优秀的候选人既具备临床或医疗保健知识，又能自如地处理数据——该职位主要以健康信息学为重点，并包含一个有意义的AI组成部分，涵盖数据检索、趋势识别、工具构建和文档记录。实习期设定为10-12周，但可能根据业务需求延长。请注意，Point C无法为该职位提供工作赞助，现在或将来均不能。这包括需要雇主赞助或临时工作授权批准的学生，包括CPT或OPT。学生必须在实习期间和实习结束后均拥有当前、无限制的在美国工作的授权。主要职责：与临床和利用管理团队合作，了解工作流程、数据需求以及分析可以改善决策和结果的领域使用AI工具加速数据提取并揭示大型临床数据集中的模式分析AI发现以标记可能无法通过人工审查立即看到的趋势或异常利用AI支持文档任务，例如起草摘要、组织结构化发现，并为临床和运营使用生成可重复的模板提取、清理和分析医疗保健数据，包括索赔、服务日期、提供者专业、利用模式和临床指标从临床和利用数据中识别趋势并得出可操作的洞察，以支持护理管理、成本控制和质量改进工作支持临床团队理解福利结构、计划设计以及它们如何与利用和结果数据相互作用识别AI或自动化可以简化临床审查流程、标记异常值或减少临床工作人员手动工作量的机会构建轻量级数据工具、仪表板或摘要报告，使临床和利用数据更易于访问和可操作清晰记录发现、方法和建议，使洞察在实习结束后可重复和可用以清晰、易懂的格式向临床和运营领导层展示数据发现和建议资格：目前是健康信息学、护理学、临床健康科学、公共卫生、医疗保健管理或相关领域的学位课程的大四或研究生学生具备足够的临床或医学知识，以理解医疗保健术语、诊断和程序代码、提供者专业和利用管理概念具有处理或分析医疗保健数据的经验，包括索赔数据、服务日期、提供者信息或临床文档强大的分析能力，能够从复杂数据集中得出有意义的洞察熟悉AI工具（如ChatGPT、Claude、Copilot或类似工具）并有 demonstrated abili

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