ChatGPT Summaries

Mike Rispoli, Co-Founder and Chief Technology Officer at Cause of a KindThe rapid advancement of AI has fueled discussions about its potential to replace developers, particularly in industries like healthcare, where innovation and efficiency...

AI is reshaping healthcare IT, but it won't replace developers. While AI automates tasks and enhances efficiency, skilled software engineers are essential for building secure, compliant systems. According to a McKinsey survey, over 70% of healthcare organizations are implementing AI, yet the need for human oversight remains critical. Developers ensure that AI integrations adhere to regulations like HIPAA and maintain deterministic outcomes vital for patient safety. As we embrace AI, a balanced approach—leveraging technology while prioritizing human expertise—is key to sustainable growth in healthcare.#HealthcareIT #AI #SoftwareDevelopment #DataSecurity #Innovation #HealthTech #Compliance

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-AuaFO0d0l0tykUsC3aiEkfBheqUF9", "object": "chat.completion", "created": 1738049066, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "AI is reshaping healthcare IT, but it won't replace developers. While AI automates tasks and enhances efficiency, skilled software engineers are essential for building secure, compliant systems. According to a McKinsey survey, over 70% of healthcare organizations are implementing AI, yet the need for human oversight remains critical. Developers ensure that AI integrations adhere to regulations like HIPAA and maintain deterministic outcomes vital for patient safety. As we embrace AI, a balanced approach—leveraging technology while prioritizing human expertise—is key to sustainable growth in healthcare. nn#HealthcareIT #AI #SoftwareDevelopment #DataSecurity #Innovation #HealthTech #Compliance", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1423, "completion_tokens": 127, "total_tokens": 1550, "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_72ed7ab54c" }

Prompt Tokens - 1423
Completion Tokens - 127
Total Tokens - 1550

Joseph M. Saunders, Founder and CEO, RunSafe SecurityMedical device manufacturers face a conundrum. To meet recent FDA requirements, which were initially introduced a little over a year ago, they now need to quickly provide...

In the evolving landscape of healthcare cybersecurity, medical device manufacturers face the urgent challenge of meeting FDA requirements for postmarket updates and patches. Patching can be resource-intensive and disruptive, particularly for Class II and III devices. To enhance security, manufacturers should consider proactive solutions like runtime exploit prevention, which safeguards devices against attacks before patches are available. This approach not only streamlines the patching process but also strengthens premarket submissions and reduces the need for frequent FDA re-approvals. By adopting these strategies, manufacturers can improve device resilience and better protect patients and healthcare providers. #Cybersecurity #MedicalDevices #HealthcareIT #FDA #ProactiveSecurity #RuntimeProtection #DeviceResilience

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-AuaF2pARMLvlTiG9PlhziuFqII7D0", "object": "chat.completion", "created": 1738049044, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the evolving landscape of healthcare cybersecurity, medical device manufacturers face the urgent challenge of meeting FDA requirements for postmarket updates and patches. Patching can be resource-intensive and disruptive, particularly for Class II and III devices. To enhance security, manufacturers should consider proactive solutions like runtime exploit prevention, which safeguards devices against attacks before patches are available. This approach not only streamlines the patching process but also strengthens premarket submissions and reduces the need for frequent FDA re-approvals. By adopting these strategies, manufacturers can improve device resilience and better protect patients and healthcare providers. #Cybersecurity #MedicalDevices #HealthcareIT #FDA #ProactiveSecurity #RuntimeProtection #DeviceResilience", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1191, "completion_tokens": 136, "total_tokens": 1327, "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_72ed7ab54c" }

Prompt Tokens - 1191
Completion Tokens - 136
Total Tokens - 1327

Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for...

Machine learning has unveiled critical insights into cognitive interventions for anxiety and depression. A recent meta-analysis analyzed 22 datasets with 1544 participants, revealing that individuals with higher baseline symptoms benefited most from cognitive training, particularly with increased training sessions. Notably, attention bias modification and interpretation bias modification showed the strongest efficacy. This innovative approach emphasizes the importance of personalized interventions, highlighting that a tailored strategy could significantly enhance treatment outcomes. Such findings pave the way for more effective mental health strategies in digital medicine.#HealthcareIT #MachineLearning #MentalHealth #CognitiveTraining #DigitalHealth #AIinHealthcare #PersonalizedMedicine

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-AuUd3rGuVf39HRlRqIPVMsrQbCTG1", "object": "chat.completion", "created": 1738027469, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Machine learning has unveiled critical insights into cognitive interventions for anxiety and depression. A recent meta-analysis analyzed 22 datasets with 1544 participants, revealing that individuals with higher baseline symptoms benefited most from cognitive training, particularly with increased training sessions. Notably, attention bias modification and interpretation bias modification showed the strongest efficacy. This innovative approach emphasizes the importance of personalized interventions, highlighting that a tailored strategy could significantly enhance treatment outcomes. Such findings pave the way for more effective mental health strategies in digital medicine. nn#HealthcareIT #MachineLearning #MentalHealth #CognitiveTraining #DigitalHealth #AIinHealthcare #PersonalizedMedicine", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 33636, "completion_tokens": 124, "total_tokens": 33760, "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_72ed7ab54c" }

Prompt Tokens - 33636
Completion Tokens - 124
Total Tokens - 33760

The U.S. stock market, especially the tech-heavy NASDAQ, was deeply (no pun intended) rattled by a Chinese AI upstart called DeepSeek on Monday. It appears to have accomplished much of what large language models...

The recent head-to-head comparison between DeepSeek and ChatGPT reveals intriguing insights into the high costs of healthcare in the U.S. While both AI models identified ten contributing factors, their conclusions varied significantly. DeepSeek provided a more comprehensive analysis, highlighting issues like the high cost of medical education and lifestyle factors in chronic disease management. In contrast, ChatGPT emphasized systemic reform without delving into historical context. This comparison underscores the need for innovative approaches in healthcare IT to tackle complex challenges.#HealthcareIT #AIinHealthcare #DeepLearning #HealthTech #CostOfCare #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-AuSoz6WS9e2SvmU9dyHC0K4GyxLBQ", "object": "chat.completion", "created": 1738020521, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The recent head-to-head comparison between DeepSeek and ChatGPT reveals intriguing insights into the high costs of healthcare in the U.S. While both AI models identified ten contributing factors, their conclusions varied significantly. DeepSeek provided a more comprehensive analysis, highlighting issues like the high cost of medical education and lifestyle factors in chronic disease management. In contrast, ChatGPT emphasized systemic reform without delving into historical context. This comparison underscores the need for innovative approaches in healthcare IT to tackle complex challenges. nn#HealthcareIT #AIinHealthcare #DeepLearning #HealthTech #CostOfCare #DigitalHealth #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 596, "completion_tokens": 120, "total_tokens": 716, "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_8221799169" }

Prompt Tokens - 596
Completion Tokens - 120
Total Tokens - 716

Specialty care platform Lantern has launched an exclusive partnership with Pelago, a digital clinic for substance use management, the companies announced last week.Dallas, Texas-based Lantern directs members of health plans and self-insured employers to...

Exciting developments in substance use disorder treatment! Lantern has partnered with Pelago to enhance access to specialized care for individuals struggling with substance use. This collaboration allows Lantern's clients, including major employers like Hyatt and 7-Eleven, to connect with Pelago’s comprehensive treatment options, which include a dedicated care team and support for co-occurring conditions. As 49 million U.S. workers face substance use challenges, this partnership aims to streamline care for employers and improve employee outcomes. Together, they are paving the way for better healthcare solutions in the workplace.#HealthcareIT #SubstanceUseDisorder #DigitalHealth #MentalHealth #EmployerBenefits #HealthTech #Partnerships

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-AuSks0MgTyyVCiBl3PPGVzKovLLRG", "object": "chat.completion", "created": 1738020266, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in substance use disorder treatment! Lantern has partnered with Pelago to enhance access to specialized care for individuals struggling with substance use. This collaboration allows Lantern's clients, including major employers like Hyatt and 7-Eleven, to connect with Pelago’s comprehensive treatment options, which include a dedicated care team and support for co-occurring conditions. As 49 million U.S. workers face substance use challenges, this partnership aims to streamline care for employers and improve employee outcomes. Together, they are paving the way for better healthcare solutions in the workplace. nn#HealthcareIT #SubstanceUseDisorder #DigitalHealth #MentalHealth #EmployerBenefits #HealthTech #Partnerships", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 682, "completion_tokens": 138, "total_tokens": 820, "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_8221799169" }

Prompt Tokens - 682
Completion Tokens - 138
Total Tokens - 820

Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) to enable...

Exciting advancements in ophthalmology! The Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) leverages multimodal machine learning to enhance self-diagnosis and triage of ophthalmic diseases. By integrating text and imaging data, IOMIDS achieved diagnostic accuracies of 79.6% and 81.1% using smartphone images. This innovative approach reduces misinformation and improves patient engagement through AI chatbots. The study emphasizes the potential of multimodal AI in transforming patient care in ophthalmology.#HealthcareIT #AIinHealthcare #Ophthalmology #MachineLearning #DigitalHealth #HealthTech #Telemedicine

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-AuS7oRzhXY9FtfIgcwPSgi8EB907u", "object": "chat.completion", "created": 1738017844, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in ophthalmology! The Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) leverages multimodal machine learning to enhance self-diagnosis and triage of ophthalmic diseases. By integrating text and imaging data, IOMIDS achieved diagnostic accuracies of 79.6% and 81.1% using smartphone images. This innovative approach reduces misinformation and improves patient engagement through AI chatbots. The study emphasizes the potential of multimodal AI in transforming patient care in ophthalmology. nn#HealthcareIT #AIinHealthcare #Ophthalmology #MachineLearning #DigitalHealth #HealthTech #Telemedicine", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 40414, "completion_tokens": 130, "total_tokens": 40544, "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_72ed7ab54c" }

Prompt Tokens - 40414
Completion Tokens - 130
Total Tokens - 40544

The Sequoia Project's Privacy and Consent Workgroup said it reviewed existing consent models and frameworks and other factors that may help providers achieve a state of computable consent – where computers exchange patient information...

The Sequoia Project's recent whitepaper emphasizes the urgent need for collaboration in privacy consent management within healthcare IT. By reviewing existing consent models, the workgroup identifies key challenges and opportunities for achieving computable consent—where patient information is exchanged based on individual privacy settings. With insights from diverse stakeholders, the paper promotes transparency and engagement as vital components for advancing interoperability and health equity. As healthcare providers navigate complex privacy laws, the call for improved technical solutions and operational tools becomes increasingly critical.#HealthcareIT #DataPrivacy #Interoperability #HealthEquity #ConsentManagement #PatientCare #HealthInformationExchange

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-AuRV6Pu0STfYZHhWRew30E674N3F0", "object": "chat.completion", "created": 1738015444, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The Sequoia Project's recent whitepaper emphasizes the urgent need for collaboration in privacy consent management within healthcare IT. By reviewing existing consent models, the workgroup identifies key challenges and opportunities for achieving computable consent—where patient information is exchanged based on individual privacy settings. With insights from diverse stakeholders, the paper promotes transparency and engagement as vital components for advancing interoperability and health equity. As healthcare providers navigate complex privacy laws, the call for improved technical solutions and operational tools becomes increasingly critical. nn#HealthcareIT #DataPrivacy #Interoperability #HealthEquity #ConsentManagement #PatientCare #HealthInformationExchange", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 950, "completion_tokens": 123, "total_tokens": 1073, "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_72ed7ab54c" }

Prompt Tokens - 950
Completion Tokens - 123
Total Tokens - 1073

What You Should Know: – Allara Health, a virtual care platform addressing the unique needs of women with chronic hormonal conditions secures $26M in a Series B funding round led by Index Ventures, with participation...

Allara Health has secured $26M in Series B funding to enhance virtual care for women with chronic hormonal conditions, bringing its total funding to $38.5M. This innovative platform addresses the critical healthcare gap faced by millions of women suffering from conditions like PCOS and endometriosis. By connecting patients with a multidisciplinary team of specialists, Allara offers personalized treatment plans, lifestyle management support, and a vibrant online community. With Dr. Heather Huddleston joining as Chief Medical Officer, Allara is poised to revolutionize care in women's health.#HealthcareIT #WomenHealth #ChronicConditions #VirtualCare #Telemedicine #HealthTech #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-AuQ4YKI1WavxyMZb1vXqeHpPOI4X0", "object": "chat.completion", "created": 1738009954, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Allara Health has secured $26M in Series B funding to enhance virtual care for women with chronic hormonal conditions, bringing its total funding to $38.5M. This innovative platform addresses the critical healthcare gap faced by millions of women suffering from conditions like PCOS and endometriosis. By connecting patients with a multidisciplinary team of specialists, Allara offers personalized treatment plans, lifestyle management support, and a vibrant online community. With Dr. Heather Huddleston joining as Chief Medical Officer, Allara is poised to revolutionize care in women's health. nn#HealthcareIT #WomenHealth #ChronicConditions #VirtualCare #Telemedicine #HealthTech #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 603, "completion_tokens": 133, "total_tokens": 736, "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_72ed7ab54c" }

Prompt Tokens - 603
Completion Tokens - 133
Total Tokens - 736

In today's healthcare landscape, patients must assert their choices more decisively. The current supply-demand mismatch makes it challenging, yet it's crucial for patients to express their preferences for services. By voting with their feet, they can drive change and influence the healthcare system to prioritize their needs. Empowering patients to take a stand is essential for fostering a more responsive and patient-centric healthcare environment. Let's encourage our patients to speak up! #HealthTech #Telehealth #PatientChoice #DigitalHealth #PatientEmpowerment #HealthcareInnovation #PatientExperience

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-AuYQy9hn05YFaR2ysYgdpTXgGmpDn", "object": "chat.completion", "created": 1738042096, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In today's healthcare landscape, patients must assert their choices more decisively. The current supply-demand mismatch makes it challenging, yet it's crucial for patients to express their preferences for services. By voting with their feet, they can drive change and influence the healthcare system to prioritize their needs. Empowering patients to take a stand is essential for fostering a more responsive and patient-centric healthcare environment. Let's encourage our patients to speak up! #HealthTech #Telehealth #PatientChoice #DigitalHealth #PatientEmpowerment #HealthcareInnovation #PatientExperience", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 192, "completion_tokens": 107, "total_tokens": 299, "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_72ed7ab54c" }

Prompt Tokens - 192
Completion Tokens - 107
Total Tokens - 299

Elucent Medical, a guided surgical technology company, will receive $30 million in growth capital from Trinity Capital.WHAT IT DOES Elucent Medical's flagship product EnVisio System utilizes a spatial field generator measuring continuous data points across...

Elucent Medical has secured $30 million in growth capital from Trinity Capital to enhance its innovative EnVisio System, which provides surgeons with precise 3D positioning for soft-tissue surgical excision. CEO Jason Pesterfield emphasizes that this funding will accelerate their commercialization efforts, ensuring unparalleled accuracy in surgical procedures. The surgical tech landscape is competitive, with companies like MediViewXR and Activ Surgical also advancing augmented reality and AI-enabled solutions to improve surgical outcomes. As the market evolves, partnerships and funding will be crucial for driving innovation and enhancing patient care. #HealthcareIT #SurgicalTech #Innovation #MedTech #AI #Funding #Surgery

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-AuQ0pEkT2bsPMSpOfXZxYaks9yYyP", "object": "chat.completion", "created": 1738009723, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Elucent Medical has secured $30 million in growth capital from Trinity Capital to enhance its innovative EnVisio System, which provides surgeons with precise 3D positioning for soft-tissue surgical excision. CEO Jason Pesterfield emphasizes that this funding will accelerate their commercialization efforts, ensuring unparalleled accuracy in surgical procedures. The surgical tech landscape is competitive, with companies like MediViewXR and Activ Surgical also advancing augmented reality and AI-enabled solutions to improve surgical outcomes. As the market evolves, partnerships and funding will be crucial for driving innovation and enhancing patient care. #HealthcareIT #SurgicalTech #Innovation #MedTech #AI #Funding #Surgery", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 658, "completion_tokens": 131, "total_tokens": 789, "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_72ed7ab54c" }

Prompt Tokens - 658
Completion Tokens - 131
Total Tokens - 789