ChatGPT Summaries

Top NewsSpecialty care coordination company Switchboard Health acquires Conduce Health, which offers AI-powered referral management and analytics software for specialty care. I interviewed Conduce Health CEO Najib Jai, MD, MBA earlier this year.Sponsored Events...

Exciting developments in healthcare IT! Switchboard Health has acquired Conduce Health, enhancing specialty care coordination with AI-driven referral management. Meanwhile, Clearwater strengthens its cybersecurity portfolio with a majority stake acquisition by Sunstone Partners. Noteworthy funding includes Assort Health's $76 million Series B for AI voice agents and Confido Health's $10 million for appointment scheduling solutions. Additionally, Seattle Children’s is set to implement Abridge’s ambient clinical documentation software. These advancements underscore the ongoing evolution of technology in healthcare. Stay informed and engaged!#HealthTech #AIinHealthcare #DigitalHealth #HealthcareInnovation #Cybersecurity #EHR #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

{ "id": "chatcmpl-CLhjlAI41vrQIjeezReS7Usx9d1Lg", "object": "chat.completion", "created": 1759289049, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in healthcare IT! Switchboard Health has acquired Conduce Health, enhancing specialty care coordination with AI-driven referral management. Meanwhile, Clearwater strengthens its cybersecurity portfolio with a majority stake acquisition by Sunstone Partners. Noteworthy funding includes Assort Health's $76 million Series B for AI voice agents and Confido Health's $10 million for appointment scheduling solutions. Additionally, Seattle Children’s is set to implement Abridge’s ambient clinical documentation software. These advancements underscore the ongoing evolution of technology in healthcare. Stay informed and engaged! nn#HealthTech #AIinHealthcare #DigitalHealth #HealthcareInnovation #Cybersecurity #EHR #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1156, "completion_tokens": 129, "total_tokens": 1285, "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_560af6e559" }

Prompt Tokens - 1156
Completion Tokens - 129
Total Tokens - 1285

Background: Engagement with digital mental health interventions is often measured as a summary-level variable and remains under-researched despite its importance for meaningful symptom change. The current study deepens understanding of engagement in a digital...

Engagement in digital mental health interventions, particularly for eating disorders, is more complex than previously understood. A recent study on the Recovery Record app revealed that while overall engagement declined over time, unique patterns emerged based on device usage and participant demographics. Notably, mood logs were the most frequently used component, and predictors such as sex and ethnicity played significant roles in engagement levels. This highlights the need for tailored interventions that consider individual characteristics to enhance outcomes. Understanding these nuances is crucial for advancing digital health solutions. #DigitalHealth #MentalHealth #EatingDisorders #PatientEngagement #HealthIT #DataAnalytics #BehavioralHealth

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-CLbqB03cZ1929FtWXAQkUB7xAEQsF", "object": "chat.completion", "created": 1759266383, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Engagement in digital mental health interventions, particularly for eating disorders, is more complex than previously understood. A recent study on the Recovery Record app revealed that while overall engagement declined over time, unique patterns emerged based on device usage and participant demographics. Notably, mood logs were the most frequently used component, and predictors such as sex and ethnicity played significant roles in engagement levels. This highlights the need for tailored interventions that consider individual characteristics to enhance outcomes. Understanding these nuances is crucial for advancing digital health solutions. #DigitalHealth #MentalHealth #EatingDisorders #PatientEngagement #HealthIT #DataAnalytics #BehavioralHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 661, "completion_tokens": 124, "total_tokens": 785, "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_560af6e559" }

Prompt Tokens - 661
Completion Tokens - 124
Total Tokens - 785

Clinical assessments of Parkinson’s disease (PD) focus on structured motor tasks, potentially underestimating real-world mobility impairment. Digital mobility outcomes (DMOs) from wearable devices, offer a promising alternative, but their clinical value remains unclear. This...

Exploring the impact of real-world gait-related digital mobility outcomes in Parkinson's disease, a systematic review highlights the clinical utility of digital mobility outcomes (DMOs) derived from wearable devices. The findings reveal significant variability in measurement protocols, with walking speed being the most commonly reported DMO. Notably, DMOs differentiated between Parkinson's patients and controls, showcasing their potential to enhance clinical assessments. However, the review underscores the need for standardized protocols to improve comparability and predictive utility. This research paves the way for more accurate monitoring and management of mobility in Parkinson's disease.#DigitalHealth #WearableTech #ParkinsonsDisease #HealthcareIT #MobilityOutcomes #ClinicalResearch #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-CLblQ6Gs2ZFK23tx3Z1LSH9pbMX5B", "object": "chat.completion", "created": 1759266088, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exploring the impact of real-world gait-related digital mobility outcomes in Parkinson's disease, a systematic review highlights the clinical utility of digital mobility outcomes (DMOs) derived from wearable devices. The findings reveal significant variability in measurement protocols, with walking speed being the most commonly reported DMO. Notably, DMOs differentiated between Parkinson's patients and controls, showcasing their potential to enhance clinical assessments. However, the review underscores the need for standardized protocols to improve comparability and predictive utility. This research paves the way for more accurate monitoring and management of mobility in Parkinson's disease. nn#DigitalHealth #WearableTech #ParkinsonsDisease #HealthcareIT #MobilityOutcomes #ClinicalResearch #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 31430, "completion_tokens": 142, "total_tokens": 31572, "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_560af6e559" }

Prompt Tokens - 31430
Completion Tokens - 142
Total Tokens - 31572

Predicting multiple postoperative complications remains challenging in perioperative care. Current approaches often address complications individually, limiting the potential for integrated risk assessment. We developed and externally validated a scalable, interpretable, tree-based multitask learning model...

Exciting advancements in healthcare IT! A recent study presents a scalable, interpretable multitask prediction model for critical postoperative outcomes, including acute kidney injury, respiratory failure, and in-hospital mortality. Utilizing 16 preoperative features from electronic health records, the model demonstrates impressive AUROCs across multiple cohorts, paving the way for integrated risk assessments in perioperative care. This innovation could significantly enhance patient outcomes and streamline clinical decision-making.#HealthcareIT #PredictiveAnalytics #MachineLearning #PatientSafety #DigitalHealth #ClinicalOutcomes #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-CLbk61527JQhdaBG4mMK94l6ldphh", "object": "chat.completion", "created": 1759266006, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare IT! A recent study presents a scalable, interpretable multitask prediction model for critical postoperative outcomes, including acute kidney injury, respiratory failure, and in-hospital mortality. Utilizing 16 preoperative features from electronic health records, the model demonstrates impressive AUROCs across multiple cohorts, paving the way for integrated risk assessments in perioperative care. This innovation could significantly enhance patient outcomes and streamline clinical decision-making. nn#HealthcareIT #PredictiveAnalytics #MachineLearning #PatientSafety #DigitalHealth #ClinicalOutcomes #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 11675, "completion_tokens": 110, "total_tokens": 11785, "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_560af6e559" }

Prompt Tokens - 11675
Completion Tokens - 110
Total Tokens - 11785

Join us on September 25 from 2:00-3:00 PM ET for an insightful webinar hosted by ASTP, focusing on the Insights Condition and Maintenance of Certification requirements for developers in the ONC Health IT Certification Program. This session will cover essential updates on developer responsibilities and key considerations for the upcoming 2026 reporting period, including the critical “Use of FHIR in Apps” measure. Don’t miss this opportunity to stay ahead in the evolving landscape of healthcare IT!#HealthIT #FHIR #ONC #Certification #HealthcareInnovation #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-CLevlZJDjFTWZzKjh5F9KnbhGOSS3", "object": "chat.completion", "created": 1759278261, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Join us on September 25 from 2:00-3:00 PM ET for an insightful webinar hosted by ASTP, focusing on the Insights Condition and Maintenance of Certification requirements for developers in the ONC Health IT Certification Program. This session will cover essential updates on developer responsibilities and key considerations for the upcoming 2026 reporting period, including the critical “Use of FHIR in Apps” measure. Don’t miss this opportunity to stay ahead in the evolving landscape of healthcare IT!nn#HealthIT #FHIR #ONC #Certification #HealthcareInnovation #DigitalHealth #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 224, "completion_tokens": 116, "total_tokens": 340, "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_560af6e559" }

Prompt Tokens - 224
Completion Tokens - 116
Total Tokens - 340

Addressing Rural Healthcare IT Budgets “How do I keep the lights on?” That’s likely the top priority for rural healthcare IT budgets. These hospitals need to ensure that their critical environment (networks, servers and storage)...

Rural healthcare systems face unique challenges, including financial instability and cybersecurity threats. With nearly 2,000 rural hospitals serving millions, innovative technology solutions are essential to enhance patient care and streamline operations. Collaboration between IT and operational teams is crucial for addressing budget constraints and optimizing resources. Initiatives from tech giants like Microsoft and Google, alongside federal funding programs, offer vital support. By prioritizing strategic partnerships and understanding operational needs, we can build resilient support systems that empower rural healthcare.#RuralHealthcare #HealthIT #Cybersecurity #PatientCare #HealthcareInnovation #DigitalTransformation #HealthcareTechnology

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-CLagvXWEkDGvNomGlwxpAWnOjz1B8", "object": "chat.completion", "created": 1759261965, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Rural healthcare systems face unique challenges, including financial instability and cybersecurity threats. With nearly 2,000 rural hospitals serving millions, innovative technology solutions are essential to enhance patient care and streamline operations. Collaboration between IT and operational teams is crucial for addressing budget constraints and optimizing resources. Initiatives from tech giants like Microsoft and Google, alongside federal funding programs, offer vital support. By prioritizing strategic partnerships and understanding operational needs, we can build resilient support systems that empower rural healthcare. nn#RuralHealthcare #HealthIT #Cybersecurity #PatientCare #HealthcareInnovation #DigitalTransformation #HealthcareTechnology", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 5371, "completion_tokens": 118, "total_tokens": 5489, "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_560af6e559" }

Prompt Tokens - 5371
Completion Tokens - 118
Total Tokens - 5489

Neuropsychiatric disorders have complex causes and exhibit considerable individual variability as they develop over time. This suggests the need for a shift from a focus on observable clinical symptoms to a personalized trajectory monitoring...

Unlocking the potential of precision psychiatry, a new dynamical systems framework emphasizes personalized trajectory monitoring for neuropsychiatric disorders. By integrating EEG-based dynamical features with personal and clinical data, this approach aims to predict risks before symptoms emerge. The framework highlights the importance of neural circuits as the bridge between underlying causes and observable behaviors, paving the way for innovative risk prediction models. This shift towards preventive healthcare could revolutionize mental health management, making it essential for IT professionals in healthcare to engage with these advancements.#PrecisionPsychiatry #Neurotechnology #MentalHealth #DynamicalSystems #EEG #DigitalHealth #MachineLearning

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-CLZJFnwZrYfGwRJbK2Dlj1LxU1CXB", "object": "chat.completion", "created": 1759256653, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of precision psychiatry, a new dynamical systems framework emphasizes personalized trajectory monitoring for neuropsychiatric disorders. By integrating EEG-based dynamical features with personal and clinical data, this approach aims to predict risks before symptoms emerge. The framework highlights the importance of neural circuits as the bridge between underlying causes and observable behaviors, paving the way for innovative risk prediction models. This shift towards preventive healthcare could revolutionize mental health management, making it essential for IT professionals in healthcare to engage with these advancements.nn#PrecisionPsychiatry #Neurotechnology #MentalHealth #DynamicalSystems #EEG #DigitalHealth #MachineLearning", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 32869, "completion_tokens": 128, "total_tokens": 32997, "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_560af6e559" }

Prompt Tokens - 32869
Completion Tokens - 128
Total Tokens - 32997

Over 25 million U.S. patients with a non-English language preference face unsafe care because discharge instructions and other materials are rarely translated in time. Advances in translation assisted by large language models can close...

In the evolving landscape of healthcare, operationalizing machine-assisted translation (MAT) is crucial for addressing the needs of over 25 million U.S. patients with non-English language preferences. This blog post outlines a roadmap for healthcare leaders, emphasizing the importance of integrating large language models (LLMs) into existing workflows while ensuring patient safety and data privacy. Key considerations include innovation, individual roles, organizational culture, and implementation processes. By leveraging LLMs responsibly, we can enhance patient care and reduce language-related disparities in healthcare.#HealthIT #MachineLearning #HealthcareInnovation #PatientSafety #HealthEquity #DigitalHealth #TranslationTechnology

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-CLZFVIerb8j6JT7OCog15VeKAbdQT", "object": "chat.completion", "created": 1759256421, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the evolving landscape of healthcare, operationalizing machine-assisted translation (MAT) is crucial for addressing the needs of over 25 million U.S. patients with non-English language preferences. This blog post outlines a roadmap for healthcare leaders, emphasizing the importance of integrating large language models (LLMs) into existing workflows while ensuring patient safety and data privacy. Key considerations include innovation, individual roles, organizational culture, and implementation processes. By leveraging LLMs responsibly, we can enhance patient care and reduce language-related disparities in healthcare. nn#HealthIT #MachineLearning #HealthcareInnovation #PatientSafety #HealthEquity #DigitalHealth #TranslationTechnology", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 23744, "completion_tokens": 127, "total_tokens": 23871, "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_560af6e559" }

Prompt Tokens - 23744
Completion Tokens - 127
Total Tokens - 23871

What You Should Know:– Gelt, the first AI-native tax firm for high-earning professionals, has announced it has raised $13M in Series A funding, bringing its total funding to $21.2M. – The funding round was led...

Exciting developments in healthcare finance! Gelt has raised $13M in Series A funding to enhance AI-driven tax solutions tailored for high-earning healthcare professionals. This capital will enable Gelt to expand its specialized services, including year-round tax optimization, tailored entity structuring, and dedicated CPA support for physicians. By merging AI with expert advice, Gelt aims to simplify complex tax scenarios, ultimately saving clients significant amounts—over $450,000 in one case—allowing them to focus more on patient care. The future of healthcare finance is here! #HealthcareIT #TaxSolutions #AIinHealthcare #PhysicianFinance #WealthManagement #HealthcareInnovation #TaxStrategy

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-CLZdI6abmjA6TYdwbNLDdl6FeYoAa", "object": "chat.completion", "created": 1759257896, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in healthcare finance! Gelt has raised $13M in Series A funding to enhance AI-driven tax solutions tailored for high-earning healthcare professionals. This capital will enable Gelt to expand its specialized services, including year-round tax optimization, tailored entity structuring, and dedicated CPA support for physicians. By merging AI with expert advice, Gelt aims to simplify complex tax scenarios, ultimately saving clients significant amounts—over $450,000 in one case—allowing them to focus more on patient care. The future of healthcare finance is here! #HealthcareIT #TaxSolutions #AIinHealthcare #PhysicianFinance #WealthManagement #HealthcareInnovation #TaxStrategy", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 520, "completion_tokens": 135, "total_tokens": 655, "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_560af6e559" }

Prompt Tokens - 520
Completion Tokens - 135
Total Tokens - 655

Steve Cagle, MBA was CEO of Clearwater at the time of this interview. He transitioned to board advisor on September 30.Tell me about yourself and the company. Clearwater is a healthcare-focused solutions firm...

In a recent interview, Steve Cagle, former CEO of Clearwater, emphasized the urgent need for healthcare organizations to prioritize cybersecurity. With rising ransomware threats and a shift in board-level focus on risk management, understanding and addressing specific vulnerabilities is crucial. Cagle highlighted the importance of comprehensive risk analysis and the adoption of frameworks like NIST to enhance security maturity. As Clearwater aims to lead in healthcare cybersecurity, the conversation underscores the industry's evolving landscape and the necessity for robust compliance strategies.#Cybersecurity #HealthcareIT #RiskManagement #NIST #Compliance #DigitalHealth #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-CLXZ83hRNFe2szO0hHAdzJmhWdJgu", "object": "chat.completion", "created": 1759249950, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent interview, Steve Cagle, former CEO of Clearwater, emphasized the urgent need for healthcare organizations to prioritize cybersecurity. With rising ransomware threats and a shift in board-level focus on risk management, understanding and addressing specific vulnerabilities is crucial. Cagle highlighted the importance of comprehensive risk analysis and the adoption of frameworks like NIST to enhance security maturity. As Clearwater aims to lead in healthcare cybersecurity, the conversation underscores the industry's evolving landscape and the necessity for robust compliance strategies. nn#Cybersecurity #HealthcareIT #RiskManagement #NIST #Compliance #DigitalHealth #AIinHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 2914, "completion_tokens": 116, "total_tokens": 3030, "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_560af6e559" }

Prompt Tokens - 2914
Completion Tokens - 116
Total Tokens - 3030