6 Patient Outcomes Jobs

URGENT HIRING !!! For more information call or whatsapp - 9220850077 location's : Canada , Australia , New Zealand , UK, Germany , Singapore ( Not In India ) Benefits : Medical Insurances , Travel allowances , Flight Tickets , Meals , etc Key Responsibilities: Conducts monthly staff meetings with the care team. Monitors delivery of care by completing patient rounds, documenting care, and maintaining communication for transfer/discharge plan. Motivates staff to maintain a high level of patient care. Educates patients and their families on the care plan; provides details related to treatments, procedures, medications, and continuing care requirements. Creates and maintains staff work schedules. Develops interdisciplinary management tools by participating in meetings, coordinating information, and care requirements. Evaluates outcomes of care with the interdisciplinary team by measuring intervention effectiveness with the team. Complies with hospital and legal requirements by fostering nursing practices that adhere to the hospitals rules and regulations. Protects self, co-workers, and patients by following policies and procedures to prevent bloodborne and airborne diseases. Respects patients rights by maintaining their confidentiality.

The MCH CTVS Surgeon Consultant plays a pivotal role in the healthcare organization, specializing in congenital and acquired cardiovascular thoracic surgeries. This distinguished role not only demands extensive surgical skills but also a compassionate approach to patient care. The surgeon collaborates closely with a multidisciplinary team to ensure comprehensive treatment plans for patients suffering from complex heart conditions. Their expertise is crucial for successful outcomes and contributes significantly to the hospital's reputation as a center for excellence in cardiac care. Furthermore, the MCH CTVS Surgeon Consultant is involved in teaching and mentoring junior staff, enhancing the quality of care across the organization. This position requires a commitment to staying abreast of the latest advancements in cardiovascular surgery and actively participating in clinical research to improve surgical techniques and patient recovery. With a focus on innovation and patient-centered care, the surgeon's contributions help shape the future of cardiovascular health within the community. Key Responsibilities - Perform complex cardiovascular and thoracic surgeries. - Conduct pre-operative assessments and formulate surgical plans. - Collaborate with cardiologists and other specialists for comprehensive care. - Lead surgical teams during procedures and ensure adherence to protocols. - Monitor post-operative recovery and manage complications as needed. - Educate patients and their families about surgical options and recovery processes. - Participate in research initiatives and clinical trials to advance methodologies. - Provide mentorship and training to surgical residents and fellows. - Collaborate in multidisciplinary case discussions to enhance patient outcomes. - Maintain accurate surgical records and documentation in compliance with regulations. - Attend and contribute to surgical rounds and departmental meetings. - Stay updated on advancements in cardiovascular surgery techniques. - Implement best practices for infection control and patient safety. - Engage with community stakeholders to promote cardiovascular health awareness. - Contribute to hospital policy development regarding surgical protocols. Required Qualifications - Doctor of Medicine (MD) or equivalent degree. - Completion of an accredited residency in General Surgery. - Fellowship training in Cardiothoracic or Congenital Heart Surgery. - Board certification in Cardiothoracic Surgery. - 5+ years of clinical experience in cardiovascular surgery. - Proficient in robotic surgical techniques and minimally invasive procedures. - Track record of successful patient outcomes in complex surgeries. - Strong understanding of cardiovascular anatomy and physiology. - Excellent communication and interpersonal skills. - Ability to work effectively in a multidisciplinary team setting. - Commitment to ongoing professional development and education. - Familiarity with electronic health record systems. - Demonstrated ability to conduct clinical research. - Experience in teaching medical students and surgical trainees. - Valid medical license to practice in the relevant state.,

You will be joining Providence, a leading not-for-profit healthcare system in the US dedicated to providing high-quality, compassionate healthcare to all individuals. The organization believes in health as a fundamental human right and is guided by the vision of "Health for a better world." With a team of 121,000 caregivers, Providence is committed to ensuring affordable access to top-notch care and services for everyone. As part of the Providence network, you will have the opportunity to work across 51 hospitals, over 1,000 care clinics, senior services, supportive housing, and various health and educational programs throughout the US. Additionally, Providence India is spearheading a significant healthcare transformation towards Health 2.0. This initiative will focus on healthcare technology, innovation, and digital transformation to enhance patient outcomes, caregiver efficiency, and the overall operations of Providence on a large scale. When you join Providence, you can expect the following: - Best In-class Benefits - Inclusive Leadership - Reimagining Healthcare - Supportive Reporting Relation In this role, you will play a key part in driving the digital transformation of healthcare systems, contributing to improved patient experiences, caregiver effectiveness, and overall business operations. As part of the team at Providence, you will have the opportunity to make a meaningful impact in the healthcare industry and be part of a dynamic and innovative work environment. To learn more about our commitment to integrity and ethical conduct, we encourage you to contact our Integrity hotline and familiarize yourself with our Code of Conduct.,

At Improzo, we are dedicated to improving life by empowering our customers through quality-led commercial analytical solutions. Our team of experts in commercial data, technology, and operations collaborates to shape the future with leading Life Sciences clients and carefully chosen peers. People are at the heart of our success, and we uphold our CARE values framework, prioritizing customer needs, pursuing innovation, fostering respect, and maintaining a focus on quality-led execution. As a Data Scientist in Pune at Improzo, your role involves driving insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You will be optimizing Pharma commercial strategies and improving patient outcomes through various analytical techniques. Your responsibilities will include engaging with client stakeholders to understand challenges and strategic objectives, exploring and preparing complex datasets from various sources, developing statistical models and machine learning algorithms, analyzing promotional effectiveness and patient adherence, utilizing generative AI and LLM solutions, transforming analytical findings into actionable recommendations, collaborating with cross-functional teams, and supporting the entire data science lifecycle. To qualify for this role, you should have a Master's or Ph.D. in a related quantitative field, at least 4 years of experience as a Data Scientist, a solid understanding of pharmaceutical commercial operations, experience with real-world patient data and patient journeys, strong programming skills in Python and/or R, expertise in SQL and data visualization tools, familiarity with cloud platforms and big data technologies, knowledge of NLP techniques and LLMs, experience with MLOps practices and tools, and an understanding of industry regulations and compliance requirements. Additionally, excellent communication, presentation, interpersonal skills, attention to detail, client centricity, ability to work independently and as part of a team, and strong leadership skills are essential. Join us at Improzo for a competitive salary and benefits package, the opportunity to work on cutting-edge Analytics projects, a collaborative work environment, and professional development opportunities. If you are passionate about data manipulation, analytics, generative AI, commercial pharma, MLOps, and have the necessary skills and experience, we look forward to having you on our team.,

About Improzo At Improzo, we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We're looking for a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You'll optimize Pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE). Key Responsibilities Data Exploration & Problem Framing: Proactively engage with client/business stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, Medical Affairs, Patient Advocacy teams) to deeply understand their challenges and strategic objectives. Explore, clean, and prepare large, complex, and sometimes messy datasets from various sources, including but not limited to: sales data, prescription data, claims data, Electronic Health Records (EHRs), patient support program data, CRM data, and real-world evidence (RWE) datasets. Translate ambiguous business problems into well-defined data science questions and develop appropriate analytical frameworks. Advanced Analytics & Model Development: Design, develop, validate, and deploy robust statistical models and machine learning algorithms (e.g., predictive models, classification, clustering, time series analysis, causal inference, natural language processing). Analyze promotional effectiveness and patient persistency/adherence. Build models for patient journey mapping, patient segmentation for personalized interventions, treatment adherence prediction, disease progression modeling, and identifying drivers of patient outcomes from RWE. Contribute to understanding patient behavior, unmet needs, and the impact of interventions on patient health. Generative AI & LLM Solutions: Extract insights from unstructured text data (e.g., clinical notes, scientific literature, sales call transcripts, patient forum discussions). Summarize complex medical or commercial documents. Automate content generation for internal use (e.g., draft reports, competitive intelligence summaries). Enhance data augmentation or synthetic data generation for model training. Develop intelligent search or Q&A systems for commercial or medical inquiries. Apply techniques like prompt engineering, fine-tuning of LLMs, and retrieval-augmented generation (RAG). Insight Generation & Storytelling: Transform complex analytical findings into clear, concise, and compelling narratives and actionable recommendations for both technical and non-technical audiences. Create impactful data visualizations, dashboards, and presentations using tools like Tableau, Power BI, or Python/R/Alteryx visualization libraries. Collaboration & Project Lifecycle Management: Collaborate effectively with cross-functional teams including product managers, data engineers, software developers, and other data scientists. Support the entire data science lifecycle, from conceptualization and data acquisition to model development, deployment (MLOps), and ongoing monitoring in production environments. Qualifications Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Bioinformatics, Epidemiology, or a related quantitative field. 4+ years progressive experience as a Data Scientist, with demonstrated success in applying advanced analytics to solve business problems, preferably within the healthcare, pharmaceutical, or life sciences industry using pharma dataset extensively (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Must-have: Solid understanding of pharmaceutical commercial operations (e.g., sales force effectiveness, marketing, market access, CRM). Must-have: Experience working with real-world patient data (e.g., claims, EHR, pharmacy data, patient registries) and understanding of patient journeys. Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R for data manipulation, statistical analysis, and machine learning. Expertise in SQL for data extraction, manipulation, and analysis from relational databases. Experience with machine learning frameworks and libraries. Proficiency in data visualization tools (e.g., Tableau, Power BI) and/or visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a significant advantage. Specific experience with Natural Language Processing (NLP) techniques, Generative AI models (e.g., Transformers, diffusion models), Large Language Models (LLMs), and prompt engineering is highly desirable. Experience with fine-tuning LLMs, working with models from Hugging Face, or utilizing major LLM APIs (e.g., OpenAI, Anthropic, Google). Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry. Collaborative and supportive work environment. Opportunities for professional development and growth.,

Siwach Hospital is a reputed healthcare institution based in Rohtak, dedicated to providing high-quality, patient-centered medical care. With a strong commitment to clinical excellence and ethical medical practices, we are looking for an experienced and compassionate MD in Medicine to join our growing team. Key Responsibilities: Provide comprehensive diagnosis and medical treatment in outpatient and inpatient settings. Manage a broad spectrum of acute and chronic medical conditions. Collaborate with specialists and hospital staff to ensure holistic patient care. Participate actively in patient counseling, preventive care, and community health initiatives. Maintain proper documentation of patient histories, treatments, and outcomes. Contribute to quality improvement, clinical audits, and hospital best practices. Qualifications: MD (Doctor of Medicine) in General Medicine from a recognized university. Registered with the Medical Council of India or State Medical Council. 2 - 3 years of post-MD clinical experience preferred. Key Skills: Strong diagnostic and clinical management skills Good communication and patient interaction Teamwork and collaboration with hospital staff Ethical clinical approach and commitment to continuous learning