ChatGPT Summaries

What You Should Know: – symplr®, a provider of enterprise healthcare operations software announced its acquisition of the Smart Square® scheduling software from AMN Healthcare. This strategic move, backed by Clearlake Capital Group, L.P. and...

Exciting news in healthcare IT! symplr® has acquired Smart Square® from AMN Healthcare, enhancing its Operations Platform and solidifying its role in workforce management. This acquisition introduces AI-driven scheduling, predictive analytics, and real-time staffing adjustments to symplr’s suite, empowering hospitals to navigate workforce complexities. The partnership with AMN Healthcare will further leverage operational technology and workforce solutions, paving the way for innovative healthcare staffing strategies. This move underscores the importance of intelligent solutions in optimizing healthcare operations.#HealthcareIT #WorkforceManagement #AIinHealthcare #HealthTech #DigitalTransformation #HealthcareInnovation #SaaS

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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Prompt Tokens - 426
Completion Tokens - 125
Total Tokens - 551

What You Should Know:– Nutanix, a leader in hybrid multicloud computing, today announced the findings of its seventh annual global Healthcare Enterprise Cloud Index (ECI) survey and research report. – The report reveals that an...

Healthcare organizations are leading the charge in Generative AI (GenAI) adoption, with 99% currently leveraging these technologies. However, 96% admit their data security measures are inadequate for scaling GenAI effectively. Key challenges include integrating GenAI with existing IT infrastructure (79%) and overcoming data silos (65%). The Nutanix report emphasizes the need for infrastructure modernization and strategic investments to support GenAI initiatives. Additionally, the rise of containerization and Kubernetes is reshaping application development in healthcare. As we navigate these complexities, prioritizing security, talent development, and long-term ROI will be essential for successful GenAI integration. #HealthcareIT #GenAI #DataSecurity #Infrastructure #CloudComputing #Kubernetes #DigitalTransformation

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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Prompt Tokens - 1085
Completion Tokens - 148
Total Tokens - 1233

Revolutionary Healthcare Technology Integration The implementation of the Meditech Expanse EHR system represents a transformative moment for La Paz Regional Hospital, located in Parker, Arizona. This cutting-edge healthcare technology solution has unified the hospital’s operations...

La Paz Regional Hospital's launch of the Meditech Expanse EHR system marks a significant advancement in healthcare technology integration. This transformative system connects the hospital with its four affiliated clinics, enhancing real-time access to patient information and improving operational efficiency. Key features include a user-friendly patient portal and mobile app, empowering patients to manage their healthcare seamlessly. The EHR also supports clinical decision-making, reduces errors, and enhances community health tracking. La Paz’s strategic investment in this technology underscores its commitment to modernizing rural healthcare delivery and improving patient outcomes.#HealthcareIT #EHR #DigitalHealth #PatientExperience #HealthTech #Innovation #RuralHealth

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BowTdM6F9uo5VFhu4alOweLID5krc", "object": "chat.completion", "created": 1751480885, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "La Paz Regional Hospital's launch of the Meditech Expanse EHR system marks a significant advancement in healthcare technology integration. This transformative system connects the hospital with its four affiliated clinics, enhancing real-time access to patient information and improving operational efficiency. Key features include a user-friendly patient portal and mobile app, empowering patients to manage their healthcare seamlessly. The EHR also supports clinical decision-making, reduces errors, and enhances community health tracking. La Paz’s strategic investment in this technology underscores its commitment to modernizing rural healthcare delivery and improving patient outcomes. nn#HealthcareIT #EHR #DigitalHealth #PatientExperience #HealthTech #Innovation #RuralHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 970, "completion_tokens": 131, "total_tokens": 1101, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 970
Completion Tokens - 131
Total Tokens - 1101

What You Should Know:– Lunit, a provider of AI for cancer diagnostics and therapeutics announced a strategic collaboration with Microsoft to accelerate the delivery of AI-powered healthcare solutions globally. – The partnership, coupled with Lunit’s...

Exciting advancements in AI-driven cancer diagnostics are on the horizon! Lunit has teamed up with Microsoft to enhance global healthcare solutions through AI. This collaboration aims to develop a customizable AI model service on Azure, addressing performance variability in clinical settings. Additionally, Lunit will leverage Microsoft’s agentic AI frameworks to create innovative workflow automation tools, streamlining clinical decision-making. As Lunit's CEO Brandon Suh states, "For AI to truly make an impact in healthcare, it must be accessible, scalable, and seamlessly integrated." Together, they are poised to transform cancer detection and care delivery. #HealthcareIT #AIinHealthcare #CancerDiagnosis #DigitalHealth #HealthTech #Innovation #Collaboration

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BoyxOOIunBBeUlSTQYzAgVAZUbMIt", "object": "chat.completion", "created": 1751490418, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in AI-driven cancer diagnostics are on the horizon! Lunit has teamed up with Microsoft to enhance global healthcare solutions through AI. This collaboration aims to develop a customizable AI model service on Azure, addressing performance variability in clinical settings. Additionally, Lunit will leverage Microsoft’s agentic AI frameworks to create innovative workflow automation tools, streamlining clinical decision-making. As Lunit's CEO Brandon Suh states, "For AI to truly make an impact in healthcare, it must be accessible, scalable, and seamlessly integrated." Together, they are poised to transform cancer detection and care delivery. #HealthcareIT #AIinHealthcare #CancerDiagnosis #DigitalHealth #HealthTech #Innovation #Collaboration", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 489, "completion_tokens": 139, "total_tokens": 628, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 489
Completion Tokens - 139
Total Tokens - 628

(L to R) Lifeyear co-founders Siim Saare, Dr Eleanor Wicks and Timo Mitt (Credit: Lifeyear)UK-Estonian health technology start-up Lifeyear has raised €2.8 million (£2.4m) to launch its remote patient management platform for cardiovascular...

Exciting news in digital health! Lifeyear, a UK-Estonian startup, has secured £2.4m to enhance its remote patient management platform for cardiovascular care. This funding will propel the rollout across UK hospitals and GP practices, aiming to reduce the burden of cardiovascular disease. With a focus on real-world evidence and NHS compliance, Lifeyear is set to transform cardiac care delivery. The collaboration of UK clinicians and Estonian tech experts underscores their commitment to innovative, patient-centered solutions.#HealthTech #DigitalHealth #CardiovascularCare #RemotePatientMonitoring #NHSInnovation #HealthcareIT #PatientEmpowerment

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Bp264bfrPG79oqTWBGAavbs7FSlNZ", "object": "chat.completion", "created": 1751502488, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in digital health! Lifeyear, a UK-Estonian startup, has secured £2.4m to enhance its remote patient management platform for cardiovascular care. This funding will propel the rollout across UK hospitals and GP practices, aiming to reduce the burden of cardiovascular disease. With a focus on real-world evidence and NHS compliance, Lifeyear is set to transform cardiac care delivery. The collaboration of UK clinicians and Estonian tech experts underscores their commitment to innovative, patient-centered solutions. nn#HealthTech #DigitalHealth #CardiovascularCare #RemotePatientMonitoring #NHSInnovation #HealthcareIT #PatientEmpowerment", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 837, "completion_tokens": 128, "total_tokens": 965, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 837
Completion Tokens - 128
Total Tokens - 965

Image Credit: KLAS Asia/Ocenia EHR 2025What You Should Know: – The healthcare technology landscape in Asia and Oceania is experiencing significant growth, driven by increasing digital maturity and a strong desire for enhanced interoperability, according...

The KLAS Research report on EHR adoption in Asia and Oceania reveals a rapidly evolving healthcare technology landscape, driven by increasing digital maturity and demands for interoperability. Key findings highlight significant growth among vendors like IQVIA and InterSystems, with rising customer expectations for advanced technology and value. While South/Southeast Asia shows high satisfaction with local vendors, Oceania faces challenges, including declining satisfaction with Oracle Health. As healthcare organizations implement EHR systems, the focus on AI features and improved support remains critical. This report underscores the dynamic nature of EHR adoption in the region. #HealthcareIT #EHR #DigitalHealth #Interoperability #HealthTech #KLASReport #AsiaOceania2025

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BorRRJ7HKzj3N2e4LqTUxjGwJCcNA", "object": "chat.completion", "created": 1751461529, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The KLAS Research report on EHR adoption in Asia and Oceania reveals a rapidly evolving healthcare technology landscape, driven by increasing digital maturity and demands for interoperability. Key findings highlight significant growth among vendors like IQVIA and InterSystems, with rising customer expectations for advanced technology and value. While South/Southeast Asia shows high satisfaction with local vendors, Oceania faces challenges, including declining satisfaction with Oracle Health. As healthcare organizations implement EHR systems, the focus on AI features and improved support remains critical. This report underscores the dynamic nature of EHR adoption in the region. #HealthcareIT #EHR #DigitalHealth #Interoperability #HealthTech #KLASReport #AsiaOceania2025", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1155, "completion_tokens": 142, "total_tokens": 1297, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 1155
Completion Tokens - 142
Total Tokens - 1297

Allied health professionals (AHPs) should not wait for AI to come to them, write physiotherapists Christopher Efford and Charlie Winward AI is everywhere. If you’re not using it, you’re probably considering it. It’s the...

Allied health professionals (AHPs) must proactively embrace AI to enhance patient care and streamline clinical workflows. As AI technologies rapidly evolve, understanding their implications is crucial for effective deployment. Education and training in clinical AI are essential to keep pace with advancements. High-quality data is vital for successful AI integration, necessitating improved data collection methods. AHPs should lead the digital transformation, advocating for advanced training and redesigning clinical pathways in collaboration with AI vendors. By actively seeking AI solutions, AHPs can revolutionize healthcare delivery and improve patient outcomes.#HealthcareIT #DigitalHealth #AIinHealthcare #AlliedHealth #PatientCare #HealthInnovation #ClinicalAI

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BoqzCxLxQS33e1pssTArpzZsZFVCw", "object": "chat.completion", "created": 1751459778, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Allied health professionals (AHPs) must proactively embrace AI to enhance patient care and streamline clinical workflows. As AI technologies rapidly evolve, understanding their implications is crucial for effective deployment. Education and training in clinical AI are essential to keep pace with advancements. High-quality data is vital for successful AI integration, necessitating improved data collection methods. AHPs should lead the digital transformation, advocating for advanced training and redesigning clinical pathways in collaboration with AI vendors. By actively seeking AI solutions, AHPs can revolutionize healthcare delivery and improve patient outcomes. nn#HealthcareIT #DigitalHealth #AIinHealthcare #AlliedHealth #PatientCare #HealthInnovation #ClinicalAI", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1277, "completion_tokens": 135, "total_tokens": 1412, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 1277
Completion Tokens - 135
Total Tokens - 1412

Fundus fluorescein angiography (FFA) is the gold standard for diagnosing chorioretinal diseases, but its interpretation requires significant expertise and time. Despite generative AI’s enormous potential in medical report generation, automatic FFA interpretation lacks robust...

Generative AI is revolutionizing fundus fluorescein angiography (FFA) interpretation, a critical process for diagnosing chorioretinal diseases. The study introduces InterpreFFA, a diagnosis-supervised contrastive learning framework that mimics ophthalmologists’ decision-making. Validated across diverse datasets, InterpreFFA outperformed traditional models, enhancing diagnostic accuracy from 85.55% to 90.34%. This innovation not only streamlines report generation but also supports clinical decision-making, showcasing the transformative potential of AI in healthcare. As we embrace these advancements, the future of ophthalmology looks promising!#HealthcareIT #ArtificialIntelligence #MedicalImaging #Ophthalmology #DigitalHealth #Innovation #AIinHealthcare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BorBzUbSy5pISJ9v7ELtlQRhqCYFQ", "object": "chat.completion", "created": 1751460571, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Generative AI is revolutionizing fundus fluorescein angiography (FFA) interpretation, a critical process for diagnosing chorioretinal diseases. The study introduces InterpreFFA, a diagnosis-supervised contrastive learning framework that mimics ophthalmologists’ decision-making. Validated across diverse datasets, InterpreFFA outperformed traditional models, enhancing diagnostic accuracy from 85.55% to 90.34%. This innovation not only streamlines report generation but also supports clinical decision-making, showcasing the transformative potential of AI in healthcare. As we embrace these advancements, the future of ophthalmology looks promising! nn#HealthcareIT #ArtificialIntelligence #MedicalImaging #Ophthalmology #DigitalHealth #Innovation #AIinHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 11766, "completion_tokens": 146, "total_tokens": 11912, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 11766
Completion Tokens - 146
Total Tokens - 11912

Electronic health records (EHR) contain data from disparate sources, spanning various biological and temporal scales. In this work, we introduce the Multiple Embedding Model for EHR (MEME), a deep learning framework for clinical decision...

Exciting advancements in clinical decision support are here! The Multiple Embedding Model for EHR (MEME) transforms disparate EHR data into "pseudo-notes," enhancing predictive accuracy for emergency department outcomes. By leveraging self-attention mechanisms, MEME outperformed traditional machine learning models and existing EHR foundation models in predicting patient disposition and mortality. This innovative approach not only simplifies data integration but also boosts few-shot learning capabilities, making it adaptable across various healthcare settings. MEME exemplifies the future of AI in healthcare—bridging structured data with advanced language models for superior clinical insights.#HealthTech #MachineLearning #EHR #AIinHealthcare #ClinicalDecisionSupport #DigitalHealth #DataScience

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Bor6wq62UYGR6jYLWAv6LM8XC6d50", "object": "chat.completion", "created": 1751460258, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in clinical decision support are here! The Multiple Embedding Model for EHR (MEME) transforms disparate EHR data into "pseudo-notes," enhancing predictive accuracy for emergency department outcomes. By leveraging self-attention mechanisms, MEME outperformed traditional machine learning models and existing EHR foundation models in predicting patient disposition and mortality. This innovative approach not only simplifies data integration but also boosts few-shot learning capabilities, making it adaptable across various healthcare settings. MEME exemplifies the future of AI in healthcare—bridging structured data with advanced language models for superior clinical insights. nn#HealthTech #MachineLearning #EHR #AIinHealthcare #ClinicalDecisionSupport #DigitalHealth #DataScience", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 27349, "completion_tokens": 141, "total_tokens": 27490, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 27349
Completion Tokens - 141
Total Tokens - 27490

Jordan Sollof Digital Health Unplugged covers all things health technology and NHS IT. Hosted by Digital Health's news reporter Jordan Sollof, the podcast delves into key issues and news stories in the sector. It also...

Rethinking EPR procurement and optimization is crucial for advancing healthcare IT. In the latest episode of Digital Health Unplugged, Jordan Sollof explores the evolving landscape of health technology and NHS IT, highlighting critical issues and innovative practices from the Digital Health Networks. This discussion emphasizes the importance of collaboration among CIOs, CCIOs, and CNIOs to drive meaningful change in electronic patient records (EPR). Let’s embrace this opportunity to enhance our systems and improve patient care!#DigitalHealth #HealthIT #EPR #NHSIT #HealthcareInnovation #CIO #PatientCare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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Prompt Tokens - 219
Completion Tokens - 119
Total Tokens - 338