# Prompt Engineering * **Definition:** The process that involves clear task definition, detailed context, exemplar guidance, persona understanding, structured format, and appropriate tone to enhance patient care and streamline medical education. * **Taxonomy:** CTO Topics / Prompt Engineering ## News * Selected news on the topic of **Prompt Engineering**, for healthcare technology leaders * 2.9K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/13/2025 | [**North America Product Engineering Services Market Outlook 2024-2025 & 2030 - Yahoo Finance**](https://finance.yahoo.com/news/north-america-product-engineering-services-111900658.html) | [[Yahoo Finance]] | | 5/8/2025 | [**Telcion Named "Best Overall Healthcare Cybersecurity Solution" in 2025 MedTech ... - Morningstar**](https://www.morningstar.com/news/accesswire/1025439msn/telcion-named-best-overall-healthcare-cybersecurity-solution-in-2025-medtech-breakthrough-awards-program) | [[Morningstar]] | | 4/18/2025 | [**The Secret Weapon of the AI Era: How Prompt Engineering Will Rule 2025-2035 - Medium**](https://medium.com/quill-and-ink/the-secret-weapon-of-the-ai-era-how-prompt-engineering-will-rule-2025-2035-ddb42ef4390e) | [[Medium]] | | 4/16/2025 | [**Swetha Sistla: Architecting Future-Ready Tech Solutions with Universal Impact**](https://markets.businessinsider.com/news/stocks/swetha-sistla-architecting-future-ready-tech-solutions-with-universal-impact-1034589728) | [[Business Insider Markets]] | | 4/15/2025 | [**Prompt Engineering in Healthcare: Best Practices, Strategies and Trends**](https://healthtechmagazine.net/article/2025/04/prompt-engineering-in-healthcare-best-practices-strategies-trends-perfcon) | [[HealthTech Magazine]] | | 3/13/2025 | [**Direct Digital Holdings Releases Best Practices Guide for AI Prompting - PR Newswire**](https://www.prnewswire.com/news-releases/direct-digital-holdings-releases-best-practices-guide-for-ai-prompting-302400416.html) | [[PR Newswire]] | | 3/6/2025 | [**John Snow Labs Announces Keynote Speaker Lineup and Program for the Fifth Annual Healthcare NLP Summit**](https://www.globenewswire.com/news-release/2025/03/06/3038251/0/en/John-Snow-Labs-Announces-Keynote-Speaker-Lineup-and-Program-for-the-Fifth-Annual-Healthcare-NLP-Summit.html) | [[Globe Newswire]] | | 2/28/2025 | [**Mohammad (mo) Islam - Associate Director - UnitedHealth Group - LinkedIn**](https://www.linkedin.com/in/mohammadmoislam) | [[Linkedin]] | | 2/10/2025 | [**Prompt-A-Thon Hackathons Still Going Strong As A Crucial Means Of Spurring Prompt Engineering Skills**](https://www.forbes.com/sites/lanceeliot/2025/02/10/prompt-a-thon-hackathons-still-going-strong-as-a-crucial-means-of-spurring-prompt-engineering-skills/) | [[Forbes]] | | 2/3/2025 | [**Conversational-Amplified Prompt Engineering Is Gaining Traction In Generative AI**](https://www.forbes.com/sites/lanceeliot/2025/02/04/conversational-amplified-prompt-engineering-is-gaining-traction-in-generative-ai/) | [[Forbes]] | | 1/31/2025 | [**Evaluating GPT models for clinical note de-identification - Scientific Reports - Nature**](https://www.nature.com/articles/s41598-025-86890-3) | [[Nature]] | | 1/21/2025 | [**Trump's Gen AI deregulation gamble - The Hill**](https://thehill.com/opinion/technology/5092863-gen-ai-deregulation-implications/) | [[The Hill]] | | 11/19/2024 | [**Key Skills You'll Gain from a Prompt Engineering Course - by Yash Tops Tech - Medium**](https://medium.com/@yashtopstech13/key-skills-youll-gain-from-a-prompt-engineering-course-a5aa6838d483) | [[Medium]] | | 11/19/2024 | [**Mastering Prompt Engineering: How Much Time to Learn, Earning Potential, and Job Opportunities**](https://medium.com/@knowtechwithnad/mastering-prompt-engineering-how-much-time-to-learn-earning-potential-and-job-opportunities-d7eea267fedb) | [[Medium]] | | 10/31/2024 | [**Prompt Engineering Job Market: A Fulfilling Career For 2024 - eWEEK**](https://www.eweek.com/artificial-intelligence/prompt-engineering-jobs/) | [[eWeek]] | | 9/24/2024 | [**AI Prompt Engineering Examples, Tactics, and Techniques for Better Outputs**](https://www.eweek.com/artificial-intelligence/prompt-engineering-examples/) | [[eWeek]] | | 9/20/2024 | [**How To Become a Prompt Engineer (2024): The Path to Success - eWEEK**](https://www.eweek.com/artificial-intelligence/how-to-become-a-prompt-engineer/) | [[eWeek]] | | 9/5/2024 | [**Empowering Developers Is Critical to Drive AI Innovation - The New Stack**](https://thenewstack.io/empowering-developers-is-critical-to-drive-ai-innovation/) | thenewstack.io | | 8/21/2024 | [**Gartner 2024 Hype Cycle for Emerging Tech Highlights Developer Productivity, Total ... - Datanami**](https://www.datanami.com/this-just-in/gartner-2024-hype-cycle-for-emerging-tech-highlights-developer-productivity-total-experience-ai-and-security/) | datanami.com | | 7/29/2024 | [**AI in health care: Improve outcomes with effective prompt engineering [PODCAST]**](https://www.kevinmd.com/2024/07/ai-in-health-care-improve-outcomes-with-effective-prompt-engineering-podcast.html) | [[KevinMD]] | | 7/19/2024 | [**The dangers of 'botsh-t' in healthcare**](https://www.beckershospitalreview.com/innovation/the-dangers-of-botsh-t-in-healthcare.html) | [[Beckers Hospital Review]] | | 7/18/2024 | [**Persistent Systems: An Interview With SVP And GM Ganesh Nathella About This Digital ...**](https://pulse2.com/persistent-systems-ganesh-nathella-interview/) | pulse2.com | | 7/4/2024 | [**How Qualtrics is driving experience management with AI - Computer Weekly**](https://www.computerweekly.com/news/366592593/How-Qualtrics-is-driving-experience-management-with-AI) | [[Computer Weekly]] | | 5/29/2024 | [**10 generative AI certs and certificate programs to grow your skills**](https://www.cio.com/article/2128415/generative-ai-certifications-and-certificate-programs.html) | [[CIO]] | | 5/9/2024 | [**The Best Prompt Engineering Techniques For Getting The Most Out Of Generative AI**](https://www.forbes.com/sites/lanceeliot/2024/05/09/the-best-prompt-engineering-techniques-for-getting-the-most-out-of-generative-ai/) | [[Forbes]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Ximena Hartsock**: CEO of BuildWithin, promoting the introduction of AI Prompt Engineering apprenticeships. - **Rune Bergendorff**: Partner at Implement Consulting Group, advocating for the integration of generative AI in clinical trials and emphasizing the importance of prompt engineering. - **Helpware**: A leader in Business Process Outsourcing that specializes in advanced software development and engineering solutions. - **DevIQ**: A cloud-native product engineering and consulting firm recognized as an AWS Advanced Tier Services Partner, specializing in AI application development. - **Andrew Maynard**: An educator at Arizona State University who created a course on prompt engineering to help students effectively use AI technology. - **Google**: Develops AI systems like Gemini, which rely on prompt engineers to improve accuracy and reliability. - **Dr. Praveen N. Meka**: A researcher at Harvard Medical School who improved the accuracy of generative AI in interpreting arterial blood gas test results through prompt engineering. - **Quantiphi**: An AI-first digital engineering company that has invested in Transcell to enhance drug discovery using AI and stem cell technology. - **Dr. Albert Yan**: Discussed the role of AI and chatbots in dermatology, emphasizing prompt engineering techniques. - **FPT Software**: A subsidiary of FPT Corporation, recognized as a disruptor in IoT services, providing end-to-end IoT solutions across multiple industries including healthcare. - **Denys Linkov**: Head of Machine Learning at Voiceflow, focusing on refining large language models through prompt engineering. - **TAO Digital Solutions Inc.**: A technology services provider focused on product engineering, data monetization, and AI-driven solutions, serving various sectors including healthcare. - **Kesha Williams**: Head of enterprise architecture and engineering at Slalom, involved in discussions on AI's impact on software development. - **LTTS**: L&T Technology Services Limited, focusing on AI-driven solutions for healthcare and mobility sectors. - **New Level Work**: Provider of AI-powered learning tools aimed at enhancing leadership coaching through personalized learning experiences. - **IgniteTech**: An AI-first enterprise software company known for its innovative AI solutions and participation in AI events. - **Virtusa Corporation**: A digital engineering services provider recognized for its support of healthcare providers in enterprise transformation. - **Striim**: A company focusing on real-time data integration and streaming, enhancing AI applications through advanced data processing capabilities. - **C3 AI**: A company recognized for its expertise in generative AI technologies, providing solutions that enhance productivity and decision-making across various industries. - **Kneat.com**: A company focused on digitizing validation processes in the Life Sciences sector through its platform, Kneat Gx. ### Partnerships and Collaborations - **BuildWithin**: Introduced new registered apprenticeship roles in AI Prompt Engineering, approved by the U.S. Department of Labor. - **Implement Consulting Group and Genmab**: Collaborated to showcase the integration of design thinking and generative AI in life science project management. - **Mount Sinai BioDesign and Elementa Labs**: Collaborate to assist startups in navigating health system complexities and accelerating technology development. - **Tata Elxsi, DENSO Robotics Europe, and AAtek**: Inaugurated a Robotics and Automation Innovation Lab in Frankfurt to advance automation in healthcare. - **Apexon and EvoluteIQ**: A partnership to co-develop AI-driven hyper-automation solutions for enterprise customers. - **S&P Global and Accenture**: A collaboration to advance generative AI innovation in financial services, including a learning program for employees. - **Cognizant and IBM**: Launched a FinOps Center of Excellence to help enterprises manage complexity and modernize legacy applications. - **Caylent and Anthropic**: A strategic partnership aimed at enhancing AI deployment and optimization for businesses, focusing on generative AI capabilities. - **Kneat.com and ALTEN SA**: Signed a Master Services Agreement to digitize validation processes in the Life Sciences sector. - **Quantiphi and DDReg**: A partnership aimed at leveraging AI to streamline regulatory processes in the pharmaceutical and biotech sectors. - **Akso Health Group and DeepSeek**: Collaborating to enhance AI-powered medical consultations and optimize healthcare resource allocation. - **Microsoft and LinkedIn**: Collaborating to report on the surge in demand for AI talent and the expected overhaul of business processes with AI. - **Qualtrics**: Integrating AI capabilities into its platform to enhance digital experiences, with a focus on customer sentiment and employee attrition. - **Virtusa and Quality Clouds**: A strategic partnership to enhance digital operations and service delivery by managing technical debt on cloud platforms. - **Nuance and Healthcare Providers**: Collaboration to implement AI-powered clinical documentation solutions that enhance patient interactions and streamline medical workflows. - **Mission Cloud**: Launched the Mission AI Foundation to help businesses optimize AI solutions on AWS. - **Digital Medicine Society and Google Health**: Launched a free online course on generative AI and LLMs for healthcare professionals. - **Yandex Research**: Collaborated with IST Austria, NeuralMagic, and KAUST to develop compression methods for large language models. ### Innovations, Trends, and Initiatives - **Prompt Engineering**: A rapidly evolving field focusing on crafting precise instructions for AI systems, with increasing demand for skilled professionals. - **Prompt Engineering Techniques**: The article discusses various prompt engineering techniques essential for maximizing the effectiveness of generative AI applications, emphasizing the importance of clear and focused prompting. - **Prompt Engineering Courses**: Institutions like TOPS Technologies are offering training in prompt engineering to equip individuals with necessary skills for AI-integrated roles. - **AI Prompt Engineering Apprenticeship**: Designed to equip apprentices with skills to create effective AI prompts, addressing the demand for AI expertise. - **Conversational-Amplified Prompt Engineering (CAPE)**: A technique that enhances prompting effectiveness by engaging in ongoing conversations with generative AI, allowing the AI to adapt to the user's writing style. - **Prompt-a-thons**: Hackathons aimed at improving skills in prompt engineering for generative AI, fostering collaboration and hands-on learning among participants. - **User Experience in Medical Devices**: Emphasis on user experience design in medical technology to improve efficiency and safety in healthcare settings. - **AI-Driven Solutions**: Companies like TAO and LTTS are focusing on AI to enhance healthcare service delivery and operational efficiency. - **CO-STAR Framework**: A structured approach for crafting effective prompts for AI chatbots, focusing on context, output, specificity, tone, audience, and response. - **Generative AI in Healthcare**: Increasingly integrated into healthcare for applications like patient engagement and clinical coding, with a focus on ethical considerations. - **Generative AI Applications**: Utilized in healthcare for personalizing medicine, automating documentation, and providing insights from medical literature. - **AI-Powered Learning Tools**: Tools like Leora AI are designed to enhance human-led coaching and leadership development through personalized AI interactions. - **GALE by Kore.ai**: A no-code platform that allows enterprises to build applications using generative AI, addressing challenges in deployment and scaling. - **Generative AI in Clinical Trials**: Bergendorff suggests that all clinical trials can benefit from generative AI technologies, highlighting the need for prompt libraries to enhance reliability. - **AI Skills Demand**: A significant rise in demand for IT professionals with specialized skills in generative AI, influencing talent strategies across organizations. - **AI in Education**: Innovative educators are incorporating AI into curricula, teaching students how to effectively use AI tools like ChatGPT. ### Challenges and Concerns - **Sustainability of Prompt Engineering Jobs**: Concerns exist about the longevity of prompt engineering roles as generative AI evolves and the skills required for software development adapt. - **Skill Gaps**: The necessity for workers to develop skills in prompt engineering and AI literacy to adapt to the evolving job landscape. - **Balancing Innovation and Safety**: The challenge of ensuring user experience while meeting safety and regulatory standards in medical device development. - **Overreliance on Specific Prompts**: Excessive use of unconventional prompts, like Star Trek references, may lead to inconsistent results in AI outputs. - **Ethical Considerations**: Concerns regarding copyright, authenticity, and environmental impact as generative AI technology evolves. - **Regulatory Compliance**: The need for streamlined regulatory processes in the pharmaceutical industry remains a significant challenge. - **Bias in AI Outputs**: Generative AI models can reflect societal biases, necessitating careful prompt design to mitigate issues related to racial, gender, and cultural biases. - **Ethical Implications**: Debates surrounding the ethical implications of generative AI's prescreening processes, which may lead to censorship of user inquiries. - **AI Hallucinations**: The need for verification of AI-generated content to mitigate inaccuracies and ensure reliability. - **Bias and Explainability in AI**: Challenges in ensuring fairness and understanding decision-making processes in AI systems used in healthcare. - **Data Privacy and Security**: Qualtrics emphasizes the importance of maintaining data confidentiality in its AI strategy. - **Data Quality and Ethical Concerns**: Challenges in adopting generative AI include data quality issues, high computational costs, and ethical concerns related to bias and privacy. - **Privacy and Security Risks**: Bergendorff warns against sharing sensitive information on public platforms when using generative AI in clinical trials. - **Inaccurate Outputs**: Concerns about generative AI producing unrealistic outputs, as demonstrated by an example of AI generating a fictional review. - **Ethical and Regulatory Challenges**: The need for stricter guidelines and limitations on AI use in healthcare to ensure accurate information dissemination. - **AI Accuracy and Usability**: Concerns about inaccuracies in AI-generated data leading to serious consequences in healthcare settings. - **Inaccuracies in AI Tools**: Concerns about hallucinations in OpenAI's Whisper leading to erroneous medical transcriptions and potential patient harm. - **Misinformation Risks**: Generative AI's tendency to produce inaccurate information raises concerns about its reliability in healthcare applications. ## Related Topics [[Platform Engineering]]; [[Quality Engineering]]