ChatGPT Summaries

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Integration of artificial intelligence and wearable technology in the management of diabetes and prediabetes

npj Digital Medicine - (Tuesday November 18, 2025) - AI/ Frequent Updates/ npj Digital Medicine

Artificial intelligence and wearable technology are increasingly used in healthcare and hold significant potential for improving the management of diabetes. Wearable devices enable continuous monitoring and real-time data collection, supporting AI-driven personalized interventions. This...

Harnessing the power of artificial intelligence (AI) and wearable technology is revolutionizing diabetes management. A recent systematic review analyzed over 60 studies, demonstrating that AI-driven models paired with continuous glucose monitors enhance glycemic control and personalized interventions. Despite promising results, challenges such as demographic disparities, data quality, and model interpretability persist. Future research must focus on improving model transparency and inclusivity to ensure equitable diabetes care. This intersection of technology and healthcare offers a transformative path forward for managing Type 2 diabetes effectively.#HealthcareIT #DiabetesManagement #AI #WearableTech #HealthTech #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-CdKz259aQiIIi2sTSWDTr633rNcre", "object": "chat.completion", "created": 1763491488, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing the power of artificial intelligence (AI) and wearable technology is revolutionizing diabetes management. A recent systematic review analyzed over 60 studies, demonstrating that AI-driven models paired with continuous glucose monitors enhance glycemic control and personalized interventions. Despite promising results, challenges such as demographic disparities, data quality, and model interpretability persist. Future research must focus on improving model transparency and inclusivity to ensure equitable diabetes care. This intersection of technology and healthcare offers a transformative path forward for managing Type 2 diabetes effectively. nn#HealthcareIT #DiabetesManagement #AI #WearableTech #HealthTech #DigitalHealth #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 28419, "completion_tokens": 124, "total_tokens": 28543, "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 - 28419
Completion Tokens - 124
Total Tokens - 28543

 

Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease

npj Digital Medicine - (Tuesday November 18, 2025) - AI/ Frequent Updates/ npj Digital Medicine

While chronological age is a universal risk predictor across most populations and diseases, distinguishing between biologically older from younger individuals may identify individuals with accelerated or delayed cardiovascular aging. This study presents a deep...

Harnessing the power of AI, a new study reveals that echocardiography can predict biological age, offering insights into cardiovascular health. Utilizing over 2.6 million echocardiogram videos, researchers developed a deep learning model achieving a mean absolute error of just 6.76 years. This innovative approach not only identifies accelerated aging but also correlates predicted age with increased risks of coronary artery disease and heart failure. The findings underscore the potential of AI in enhancing cardiovascular risk assessment and personalized patient care.#HealthcareIT #AIinHealthcare #Cardiology #MachineLearning #DigitalHealth #Echocardiography #CardiovascularHealth

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-CdKy95cSJFxCRiRiwsKNkEJ9DXhq4", "object": "chat.completion", "created": 1763491433, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing the power of AI, a new study reveals that echocardiography can predict biological age, offering insights into cardiovascular health. Utilizing over 2.6 million echocardiogram videos, researchers developed a deep learning model achieving a mean absolute error of just 6.76 years. This innovative approach not only identifies accelerated aging but also correlates predicted age with increased risks of coronary artery disease and heart failure. The findings underscore the potential of AI in enhancing cardiovascular risk assessment and personalized patient care. nn#HealthcareIT #AIinHealthcare #Cardiology #MachineLearning #DigitalHealth #Echocardiography #CardiovascularHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 23895, "completion_tokens": 129, "total_tokens": 24024, "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 - 23895
Completion Tokens - 129
Total Tokens - 24024

 

Ostro, Havas Health Network receive Guinness record for online AI health literacy lesson

MobiHealthNews - (Tuesday November 18, 2025) - Frequent Updates/ MobiHealthNews

Ostro, Havas Health Network receive Guinness record for online AI health literacy lesson | MobiHealthNews Skip to main content...

Exciting news in the healthcare IT space! Ostro and Havas Health Network have set a Guinness World Record for the largest online AI health literacy lesson. This groundbreaking initiative highlights the potential of AI in enhancing patient education and engagement. By leveraging technology, they are paving the way for improved health literacy, ultimately leading to better health outcomes. This achievement underscores the importance of innovation in our industry and the critical role of digital tools in transforming healthcare delivery.#HealthIT #AIinHealthcare #HealthLiteracy #DigitalHealth #Innovation #PatientEngagement #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-CdM21dFqbHWfRNL4IWFGEjdfOJIYi", "object": "chat.completion", "created": 1763495517, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in the healthcare IT space! Ostro and Havas Health Network have set a Guinness World Record for the largest online AI health literacy lesson. This groundbreaking initiative highlights the potential of AI in enhancing patient education and engagement. By leveraging technology, they are paving the way for improved health literacy, ultimately leading to better health outcomes. This achievement underscores the importance of innovation in our industry and the critical role of digital tools in transforming healthcare delivery. nn#HealthIT #AIinHealthcare #HealthLiteracy #DigitalHealth #Innovation #PatientEngagement #HealthcareTechnology", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 288, "completion_tokens": 113, "total_tokens": 401, "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 - 288
Completion Tokens - 113
Total Tokens - 401

 

Ostro, Havas Health Network top Guinness record for online AI health literacy lesson

MobiHealthNews - (Tuesday November 18, 2025) - Frequent Updates/ MobiHealthNews

Ostro, Havas Health Network top Guinness record for online AI health literacy lesson | MobiHealthNews Skip to main content...

Exciting news in healthcare IT! Ostro and Havas Health Network have set a Guinness World Record for the largest online AI health literacy lesson. This groundbreaking achievement highlights the potential of AI in enhancing public health education and accessibility. By leveraging technology, we can empower individuals with essential health knowledge, ultimately improving health outcomes. This milestone not only showcases innovation but also reinforces the importance of collaboration in the healthcare sector.#HealthTech #AIinHealthcare #HealthLiteracy #Innovation #DigitalHealth #Collaboration #HealthcareIT

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-CdLBdEzxBIyWLgTSS5wou6fsqeNdi", "object": "chat.completion", "created": 1763492269, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare IT! Ostro and Havas Health Network have set a Guinness World Record for the largest online AI health literacy lesson. This groundbreaking achievement highlights the potential of AI in enhancing public health education and accessibility. By leveraging technology, we can empower individuals with essential health knowledge, ultimately improving health outcomes. This milestone not only showcases innovation but also reinforces the importance of collaboration in the healthcare sector. nn#HealthTech #AIinHealthcare #HealthLiteracy #Innovation #DigitalHealth #Collaboration #HealthcareIT", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 288, "completion_tokens": 104, "total_tokens": 392, "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 - 288
Completion Tokens - 104
Total Tokens - 392

 

NVIDIA, Sheba, and Mount Sinai Partner to Decode 98% of Human Genome with LLM

HIT Consultant - (Tuesday November 18, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant

From left to right, first row: Michael Kagan, CTO, NVIDIA; Professor Yitshak Kreiss, Director General Sheba Medical Center; Dr. Alexander Charney, Director, Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount...

Exciting advancements in genomic research are underway as NVIDIA partners with Sheba Medical Center and Mount Sinai to decode 98% of the human genome, previously deemed "junk DNA." This three-year collaboration aims to leverage Large Language Model (LLM) technology to unlock new pathways for disease prevention and personalized treatment. By combining extensive genomic datasets and AI expertise, the alliance is set to create an AI-driven genomic research engine, advancing precision medicine and enhancing healthcare outcomes globally. This initiative marks a significant step towards transforming healthcare through innovation.#HealthcareIT #Genomics #AI #PrecisionMedicine #NVIDIA #Collaboration #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-CdNqP2YKEW3slfCgXZ1Iku4jsWD0z", "object": "chat.completion", "created": 1763502485, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in genomic research are underway as NVIDIA partners with Sheba Medical Center and Mount Sinai to decode 98% of the human genome, previously deemed "junk DNA." This three-year collaboration aims to leverage Large Language Model (LLM) technology to unlock new pathways for disease prevention and personalized treatment. By combining extensive genomic datasets and AI expertise, the alliance is set to create an AI-driven genomic research engine, advancing precision medicine and enhancing healthcare outcomes globally. This initiative marks a significant step towards transforming healthcare through innovation. nn#HealthcareIT #Genomics #AI #PrecisionMedicine #NVIDIA #Collaboration #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 625, "completion_tokens": 124, "total_tokens": 749, "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 - 625
Completion Tokens - 124
Total Tokens - 749

 

One FQHC’s AI story – from product research to results

Healthcare IT news - (Tuesday November 18, 2025) - Frequent Updates/ Healthcare IT News

One FQHC's AI story – from product research to results | Healthcare IT News Skip to main content...

Unlocking the potential of AI in healthcare, one FQHC shares its transformative journey from product research to tangible results. By strategically integrating AI solutions, they enhanced patient care, streamlined operations, and improved data management. This case study highlights the importance of collaboration, continuous learning, and adapting technology to meet specific needs. As we navigate the evolving landscape of healthcare IT, stories like this inspire innovation and drive the conversation forward.#HealthcareIT #AIinHealthcare #DigitalHealth #PatientCare #HealthTech #Innovation #FQHC

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-CdLq8THlSarMgfdEyJLTqA7sCA6fu", "object": "chat.completion", "created": 1763494780, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of AI in healthcare, one FQHC shares its transformative journey from product research to tangible results. By strategically integrating AI solutions, they enhanced patient care, streamlined operations, and improved data management. This case study highlights the importance of collaboration, continuous learning, and adapting technology to meet specific needs. As we navigate the evolving landscape of healthcare IT, stories like this inspire innovation and drive the conversation forward. nn#HealthcareIT #AIinHealthcare #DigitalHealth #PatientCare #HealthTech #Innovation #FQHC", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 284, "completion_tokens": 107, "total_tokens": 391, "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 - 284
Completion Tokens - 107
Total Tokens - 391

 

TandemAI scores $22M for drug discovery platform

MobiHealthNews - (Tuesday November 18, 2025) - Frequent Updates/ MobiHealthNews

TandemAI scores $22M for drug discovery platform | MobiHealthNews Skip to main content...

Exciting news in healthcare innovation! TandemAI has secured $22 million to enhance its drug discovery platform, leveraging AI to streamline and accelerate the development of new therapeutics. This funding marks a significant step forward in integrating advanced technology into pharmaceutical research, promising to improve efficiency and outcomes in drug development. As healthcare IT professionals, we must stay informed about such advancements that can reshape our industry.#HealthcareIT #DrugDiscovery #AIinHealthcare #PharmaInnovation #DigitalHealth #HealthTech #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-CdLAjlJJM463x7G1DSpxa8l4nFEPn", "object": "chat.completion", "created": 1763492213, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare innovation! TandemAI has secured $22 million to enhance its drug discovery platform, leveraging AI to streamline and accelerate the development of new therapeutics. This funding marks a significant step forward in integrating advanced technology into pharmaceutical research, promising to improve efficiency and outcomes in drug development. As healthcare IT professionals, we must stay informed about such advancements that can reshape our industry. nn#HealthcareIT #DrugDiscovery #AIinHealthcare #PharmaInnovation #DigitalHealth #HealthTech #MachineLearning", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 278, "completion_tokens": 102, "total_tokens": 380, "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 - 278
Completion Tokens - 102
Total Tokens - 380

 

AI & emerging technologies are dominating conversations at HLTH—how are CHCs positioning themselves?

Healthcare IT Today - (Tuesday November 18, 2025) - Healthcare IT Today/ Videos

At #HLTH25, Dr. Kyu Rhee reminded us that even as AI and emerging tech accelerate, healthcare is still rooted in relationships. 🧡Community health centers have always delivered care through trust, family context, and strong...

At #HLTH25, Dr. Kyu Rhee emphasized that while AI and emerging technologies are transforming healthcare, the essence of care remains rooted in relationships. Community health centers (CHCs) leverage technology to enhance trust and teamwork, ensuring that care remains personal and context-driven. As CHCs adapt to the future, they are not replacing human connections but rather fortifying them. This approach highlights the vital role of technology in supporting community-based care.#NACHC #CommunityHealthCenters #healthtech #healthcare #healthIT #HITsm #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-CdLKu8TgbWn0iA7VvqZvwLAMlTGfw", "object": "chat.completion", "created": 1763492844, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "At #HLTH25, Dr. Kyu Rhee emphasized that while AI and emerging technologies are transforming healthcare, the essence of care remains rooted in relationships. Community health centers (CHCs) leverage technology to enhance trust and teamwork, ensuring that care remains personal and context-driven. As CHCs adapt to the future, they are not replacing human connections but rather fortifying them. This approach highlights the vital role of technology in supporting community-based care. nn#NACHC #CommunityHealthCenters #healthtech #healthcare #healthIT #HITsm #AIinHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 276, "completion_tokens": 116, "total_tokens": 392, "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 - 276
Completion Tokens - 116
Total Tokens - 392

 

The single patient record should build on shared care records

Digital Health - (Tuesday November 18, 2025) - Digital Health/ Frequent Updates

Shared care records already link millions of patients and professionals. The next step is to build on them through open platforms, not dismantle a decade of progress, writes Matt Cox, chief customer officer at...

The push for a Single Patient Record (SPR) in England aims to unify patient data across NHS services, enhancing personalized care. As Matt Cox highlights, the success of the SPR hinges on leveraging existing shared care records through open platforms and interoperable APIs. This requires a cultural shift and a data-first mindset, treating data as a living asset. Catalonia's advanced digital health ecosystem serves as a model, demonstrating the power of a shared clinical data repository (CDR) to foster interoperability and innovation. Building on existing infrastructure is essential for sustainable transformation in healthcare data management. #HealthcareIT #DigitalHealth #Interoperability #PatientCare #HealthData #Innovation #NHS

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-CdKeHceVMD3IvD8gGFJeNuJWYY0y3", "object": "chat.completion", "created": 1763490201, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The push for a Single Patient Record (SPR) in England aims to unify patient data across NHS services, enhancing personalized care. As Matt Cox highlights, the success of the SPR hinges on leveraging existing shared care records through open platforms and interoperable APIs. This requires a cultural shift and a data-first mindset, treating data as a living asset. Catalonia's advanced digital health ecosystem serves as a model, demonstrating the power of a shared clinical data repository (CDR) to foster interoperability and innovation. Building on existing infrastructure is essential for sustainable transformation in healthcare data management. #HealthcareIT #DigitalHealth #Interoperability #PatientCare #HealthData #Innovation #NHS", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1919, "completion_tokens": 134, "total_tokens": 2053, "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 - 1919
Completion Tokens - 134
Total Tokens - 2053

 

Thrivory Raises $25M Credit and $3.5M Equity to Eliminate Healthcare Reimbursement Delays with AI

HIT Consultant - (Tuesday November 18, 2025) - AI/ Frequent Updates/ HIT Consultant

What You Should Know:– Thrivory, the AI-powered healthcare fintech company, has secured $3.5M in equity led by Redesign Health and up to $25M in credit from Trinity Capital.– The funding supports the scale of...

Thrivory is revolutionizing healthcare reimbursement with its recent $3.5M equity and $25M credit funding. This AI-driven fintech company addresses the critical issue of slow payments, which can lead to provider burnout and hinder growth. Their innovative ThriveNow API allows for instant, non-recourse claims payments directly integrated into EHR and practice management systems. With a 96% predictive accuracy for claims outcomes and the ability to advance up to 80% of expected payments within hours, Thrivory is setting a new standard in healthcare finance. This technology promises to streamline cash flow and enhance provider sustainability. #HealthcareIT #Fintech #AI #Reimbursement #Innovation #EHR #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-CdPHceGjBKwyB9TWuAA0r7NtwfSkz", "object": "chat.completion", "created": 1763508016, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Thrivory is revolutionizing healthcare reimbursement with its recent $3.5M equity and $25M credit funding. This AI-driven fintech company addresses the critical issue of slow payments, which can lead to provider burnout and hinder growth. Their innovative ThriveNow API allows for instant, non-recourse claims payments directly integrated into EHR and practice management systems. With a 96% predictive accuracy for claims outcomes and the ability to advance up to 80% of expected payments within hours, Thrivory is setting a new standard in healthcare finance. This technology promises to streamline cash flow and enhance provider sustainability. #HealthcareIT #Fintech #AI #Reimbursement #Innovation #EHR #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 604, "completion_tokens": 140, "total_tokens": 744, "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 - 604
Completion Tokens - 140
Total Tokens - 744

 

I am an experienced healthcare executive with over 15 years of deep clinical and informatics expertise in the design, development, implementation and support of complex healthcare solutions. Beginning my career as a cardiologist, I understand the needs of clinicians and the nature of their work.