ChatGPT Summaries

Researchers from the Peter Doherty Institute for Infection and Immunity claim to be the first to demonstrate the use of genome sequencing in tracking and receiving quick insights into bacterial changes during severe infections. They...

A groundbreaking study from the Peter Doherty Institute reveals the potential of genome sequencing in real-time tracking of bacterial evolution during severe infections. Researchers found that one-third of Staphylococcus aureus cases developed dangerous mutations, complicating treatment. By leveraging genomic insights, clinicians tailored therapies, significantly improving patient outcomes. This innovative approach could revolutionize precision medicine in infectious disease management, despite challenges like cost and turnaround time. As we integrate genomic data with AI and EHRs, the future of combating superbugs looks promising.#HealthcareIT #Genomics #InfectiousDiseases #PrecisionMedicine #AntimicrobialResistance #DigitalHealth #Innovation

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-BgpqiLt4nb3NcK5wELbUA9fLnYMrp", "object": "chat.completion", "created": 1749548784, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A groundbreaking study from the Peter Doherty Institute reveals the potential of genome sequencing in real-time tracking of bacterial evolution during severe infections. Researchers found that one-third of Staphylococcus aureus cases developed dangerous mutations, complicating treatment. By leveraging genomic insights, clinicians tailored therapies, significantly improving patient outcomes. This innovative approach could revolutionize precision medicine in infectious disease management, despite challenges like cost and turnaround time. As we integrate genomic data with AI and EHRs, the future of combating superbugs looks promising. nn#HealthcareIT #Genomics #InfectiousDiseases #PrecisionMedicine #AntimicrobialResistance #DigitalHealth #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1174, "completion_tokens": 128, "total_tokens": 1302, "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 - 1174
Completion Tokens - 128
Total Tokens - 1302

Seoul National University Hospital has recently unveiled a clinical decision support system for precision medicine treatment.WHY IT MATTERS The SNUH POLARIS (Precision Oncology and Rare-Common Disease Supporter) is said to be the first of its...

Exciting advancements in precision medicine are unfolding at Seoul National University Hospital with the launch of POLARIS, an AI-driven clinical decision support system. This innovative platform integrates vast clinical and genomic data to provide personalized cancer treatment insights at the point of care. Developed by a multidisciplinary team, POLARIS is set to expand beyond oncology to address rare and chronic diseases. The hospital's transition to a robust private cloud infrastructure enhances data security and operational efficiency, paving the way for future big data initiatives. #HealthcareIT #PrecisionMedicine #AIinHealthcare #ClinicalDecisionSupport #DataSecurity #BigData #HealthTech

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-BgppW2ObrKIRLYH17pHAt153gwB0V", "object": "chat.completion", "created": 1749548710, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in precision medicine are unfolding at Seoul National University Hospital with the launch of POLARIS, an AI-driven clinical decision support system. This innovative platform integrates vast clinical and genomic data to provide personalized cancer treatment insights at the point of care. Developed by a multidisciplinary team, POLARIS is set to expand beyond oncology to address rare and chronic diseases. The hospital's transition to a robust private cloud infrastructure enhances data security and operational efficiency, paving the way for future big data initiatives. #HealthcareIT #PrecisionMedicine #AIinHealthcare #ClinicalDecisionSupport #DataSecurity #BigData #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 583, "completion_tokens": 121, "total_tokens": 704, "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 - 583
Completion Tokens - 121
Total Tokens - 704

(L to R) Mitchell O'Gorman, chief executive of xWave Technologies, and Catherine Walsh, associate director of the Greater Manchester Imaging Network (Credit: Greater Manchester Imaging Network)Irish health tech start-up xWave Technologies is partnering...

Exciting developments in healthcare IT! Irish startup xWave Technologies is set to deploy a cloud-based clinical decision support (CDS) tool across three NHS trusts in Greater Manchester. This initiative aims to enhance patient outcomes by guiding GPs in ordering appropriate scans per the Royal College of Radiologists’ iRefer guidelines. With the potential to streamline workflows and reduce administrative burdens, xWave's platform addresses growing radiology demands amid workforce shortages. As NHS England encourages CDS adoption, this partnership exemplifies innovation in diagnostic imaging.#HealthTech #ClinicalDecisionSupport #NHS #Radiology #DigitalHealth #AIinHealthcare #Innovation

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-Bgokt0ehfiZjmc1lCMTImDFO7VuMd", "object": "chat.completion", "created": 1749544579, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in healthcare IT! Irish startup xWave Technologies is set to deploy a cloud-based clinical decision support (CDS) tool across three NHS trusts in Greater Manchester. This initiative aims to enhance patient outcomes by guiding GPs in ordering appropriate scans per the Royal College of Radiologists’ iRefer guidelines. With the potential to streamline workflows and reduce administrative burdens, xWave's platform addresses growing radiology demands amid workforce shortages. As NHS England encourages CDS adoption, this partnership exemplifies innovation in diagnostic imaging. nn#HealthTech #ClinicalDecisionSupport #NHS #Radiology #DigitalHealth #AIinHealthcare #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 678, "completion_tokens": 125, "total_tokens": 803, "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 - 678
Completion Tokens - 125
Total Tokens - 803

Phenotypic information for cancer research is embedded in unstructured electronic health records (EHR), requiring effort to extract. Deep learning models can automate this but face scalability issues due to privacy concerns. We evaluated techniques...

Exploring AI in oncology, our study evaluates distillation techniques to extract cancer outcomes from electronic health records (EHR). We employed a teacher-student framework, training hierarchical Transformer models on sensitive data from Dana-Farber Cancer Institute. Results showed that while teacher models excelled, student models trained on in-domain public datasets like MIMIC-IV performed comparably, underscoring the importance of relevant training data. This research highlights the potential of AI to enhance clinical outcomes while addressing privacy concerns in healthcare.#HealthTech #AIinHealthcare #CancerResearch #MachineLearning #DataPrivacy #EHR #DigitalHealth

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-Bh3uC1jF8hVSlryWQMe8S0FMGqSMS", "object": "chat.completion", "created": 1749602816, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exploring AI in oncology, our study evaluates distillation techniques to extract cancer outcomes from electronic health records (EHR). We employed a teacher-student framework, training hierarchical Transformer models on sensitive data from Dana-Farber Cancer Institute. Results showed that while teacher models excelled, student models trained on in-domain public datasets like MIMIC-IV performed comparably, underscoring the importance of relevant training data. This research highlights the potential of AI to enhance clinical outcomes while addressing privacy concerns in healthcare. nn#HealthTech #AIinHealthcare #CancerResearch #MachineLearning #DataPrivacy #EHR #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 23558, "completion_tokens": 124, "total_tokens": 23682, "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 - 23558
Completion Tokens - 124
Total Tokens - 23682

 Pamela Henry who has worked in the field of supervised visitation for non-custodial parents, written newspaper columns on family matters, and offered classes in shared custody parenting joins eHealth Radio and the Family Health...

Divorce profoundly impacts children, often leaving lasting emotional scars. In her insightful book, "Soul Custody: Sparing Children from Divorce," Pamela Henry explores the concept of "Soul Custody" and emphasizes the need for parents to communicate thoughtfully about divorce. Through her research, she identifies key regrets associated with divorce and highlights the importance of tailored strategies to support children's well-being. Henry advocates for a shift in custody arrangements to prioritize emotional stability over logistical convenience. Her work aims to inspire parents to reconsider their decisions and foster healthier family dynamics.#Divorce #ChildWelfare #FamilyHealth #Custody #EmotionalWellbeing #Parenting #MentalHealth

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-Bgq1PVzCMfQuIQCyjKu8fIGoDCMYb", "object": "chat.completion", "created": 1749549447, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Divorce profoundly impacts children, often leaving lasting emotional scars. In her insightful book, "Soul Custody: Sparing Children from Divorce," Pamela Henry explores the concept of "Soul Custody" and emphasizes the need for parents to communicate thoughtfully about divorce. Through her research, she identifies key regrets associated with divorce and highlights the importance of tailored strategies to support children's well-being. Henry advocates for a shift in custody arrangements to prioritize emotional stability over logistical convenience. Her work aims to inspire parents to reconsider their decisions and foster healthier family dynamics. nn#Divorce #ChildWelfare #FamilyHealth #Custody #EmotionalWellbeing #Parenting #MentalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 615, "completion_tokens": 132, "total_tokens": 747, "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 - 615
Completion Tokens - 132
Total Tokens - 747

Optimizing Operations With Self-Healing NetworksOne of the primary benefits of a self-healing network is that it can automate delivery of a reliable user experience, especially when dealing with changing network conditions. Physicians and clinicians working...

Self-healing networks are revolutionizing healthcare IT by ensuring network uptime and enhancing security. These advanced systems utilize AI and machine learning to monitor performance, detect issues, and automate corrective actions, minimizing downtime that can affect patient care. As healthcare organizations face increasing cybersecurity threats, self-healing networks not only optimize operational efficiency but also provide robust security measures against unauthorized access and attacks. Trust in these automated systems is crucial, as organizations must balance automation with human oversight. Embracing this technology can significantly improve both performance and security in healthcare settings.#HealthcareIT #AI #MachineLearning #Cybersecurity #NetworkManagement #DigitalHealth #HealthTech

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-BgelIojy3RvA11XZ3kzY3pAtGTqoz", "object": "chat.completion", "created": 1749506164, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Self-healing networks are revolutionizing healthcare IT by ensuring network uptime and enhancing security. These advanced systems utilize AI and machine learning to monitor performance, detect issues, and automate corrective actions, minimizing downtime that can affect patient care. As healthcare organizations face increasing cybersecurity threats, self-healing networks not only optimize operational efficiency but also provide robust security measures against unauthorized access and attacks. Trust in these automated systems is crucial, as organizations must balance automation with human oversight. Embracing this technology can significantly improve both performance and security in healthcare settings. nn#HealthcareIT #AI #MachineLearning #Cybersecurity #NetworkManagement #DigitalHealth #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 6230, "completion_tokens": 128, "total_tokens": 6358, "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 - 6230
Completion Tokens - 128
Total Tokens - 6358

Large language models (LLMs) are used to seek health information. Guidelines for evidence-based health communication require the presentation of the best available evidence to support informed decision-making. We investigate the prompt-dependent guideline compliance of...

Generative AI is reshaping health communication, yet a recent study reveals significant shortcomings in the quality of health information it provides. Researchers evaluated responses from large language models (LLMs) like ChatGPT and found they often fail to meet evidence-based health communication standards. Despite improvements in response quality through informed prompting, many outputs still fell short. This underscores the need for integrating LLMs with robust evidence-based frameworks and enhancing user prompting techniques. As we navigate this evolving landscape, it’s crucial to ensure that AI tools support informed decision-making in healthcare. #HealthIT #AIinHealthcare #EvidenceBasedMedicine #DigitalHealth #HealthCommunication #HealthTech #PatientEducation

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-BgcRXhfmbjHkNGvDWfc5VZsLqgLz1", "object": "chat.completion", "created": 1749497251, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Generative AI is reshaping health communication, yet a recent study reveals significant shortcomings in the quality of health information it provides. Researchers evaluated responses from large language models (LLMs) like ChatGPT and found they often fail to meet evidence-based health communication standards. Despite improvements in response quality through informed prompting, many outputs still fell short. This underscores the need for integrating LLMs with robust evidence-based frameworks and enhancing user prompting techniques. As we navigate this evolving landscape, it’s crucial to ensure that AI tools support informed decision-making in healthcare. #HealthIT #AIinHealthcare #EvidenceBasedMedicine #DigitalHealth #HealthCommunication #HealthTech #PatientEducation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25909, "completion_tokens": 132, "total_tokens": 26041, "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 - 25909
Completion Tokens - 132
Total Tokens - 26041

The Health2Tech Party during New York Tech Week was a vibrant celebration of innovation in digital health! With DJ Ritesh Patel setting the mood, attendees engaged in dynamic discussions that bridged the gap between founders, investors, and healthcare leaders. This event showcased the power of collaboration in driving the future of healthcare technology. The energy was palpable, highlighting the importance of networking in our rapidly evolving industry. Let’s keep the momentum going as we shape the future of healthcare together!#DigitalHealth #HealthTech #Innovation #Networking #HealthcareIT #NYTechWeek #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-BgifiOvEE4Ayx3Wqdeu9o2WbJqSPK", "object": "chat.completion", "created": 1749521194, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The Health2Tech Party during New York Tech Week was a vibrant celebration of innovation in digital health! With DJ Ritesh Patel setting the mood, attendees engaged in dynamic discussions that bridged the gap between founders, investors, and healthcare leaders. This event showcased the power of collaboration in driving the future of healthcare technology. The energy was palpable, highlighting the importance of networking in our rapidly evolving industry. Let’s keep the momentum going as we shape the future of healthcare together!nn#DigitalHealth #HealthTech #Innovation #Networking #HealthcareIT #NYTechWeek #Collaboration", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 205, "completion_tokens": 115, "total_tokens": 320, "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 - 205
Completion Tokens - 115
Total Tokens - 320

ChatEHR, AI software developed at Stanford Medicine, is speeding up chart reviews by permitting clinicians to ask questions about medical records.Similar to how you can chat with a large language model like GPT-4, Stanford Health...

Stanford Medicine's ChatEHR is revolutionizing chart reviews by allowing clinicians to interact with patient medical records through AI-driven queries. Currently in pilot testing with 33 healthcare professionals, this tool enables rapid access to critical patient information, enhancing workflow efficiency. As Nigam Shah, Stanford's Chief Data Science Officer, emphasizes, ChatEHR integrates securely into existing electronic medical records, ensuring accuracy while keeping clinical decision-making in the hands of healthcare experts. This innovation highlights the growing trend of AI in healthcare, paving the way for smarter, data-driven patient care.#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #PatientCare #MedicalRecords #Innovation

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-BgbUod3zx4EOhc36qIeNRQXDBrjeH", "object": "chat.completion", "created": 1749493610, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Stanford Medicine's ChatEHR is revolutionizing chart reviews by allowing clinicians to interact with patient medical records through AI-driven queries. Currently in pilot testing with 33 healthcare professionals, this tool enables rapid access to critical patient information, enhancing workflow efficiency. As Nigam Shah, Stanford's Chief Data Science Officer, emphasizes, ChatEHR integrates securely into existing electronic medical records, ensuring accuracy while keeping clinical decision-making in the hands of healthcare experts. This innovation highlights the growing trend of AI in healthcare, paving the way for smarter, data-driven patient care. nn#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #PatientCare #MedicalRecords #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 758, "completion_tokens": 133, "total_tokens": 891, "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 - 758
Completion Tokens - 133
Total Tokens - 891

Excitement is in the air as #HIMSS25Europe kicks off in Paris! Our dedicated team, Tjasa and Susanna, are ready to share insights from three days of dynamic learning and innovation in healthcare IT. Expect engaging discussions, cutting-edge solutions, and invaluable networking opportunities. Whether you're joining us live or following from afar, stay tuned for exclusive highlights and updates. Let’s shape the future of healthcare together! 💙#HealthcareIT #Innovation #DigitalHealth #HealthTech #HIMSS #Networking #HealthCareLeadership

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-BgiXbhxls0FAjN7MeSmhjHXMLuOXo", "object": "chat.completion", "created": 1749520691, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Excitement is in the air as #HIMSS25Europe kicks off in Paris! Our dedicated team, Tjasa and Susanna, are ready to share insights from three days of dynamic learning and innovation in healthcare IT. Expect engaging discussions, cutting-edge solutions, and invaluable networking opportunities. Whether you're joining us live or following from afar, stay tuned for exclusive highlights and updates. Let’s shape the future of healthcare together! 💙 nn#HealthcareIT #Innovation #DigitalHealth #HealthTech #HIMSS #Networking #HealthCareLeadership", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 232, "completion_tokens": 111, "total_tokens": 343, "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 - 232
Completion Tokens - 111
Total Tokens - 343