ChatGPT Summaries
Integration of artificial intelligence and wearable technology in the management of diabetes and prediabetesnpj 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. { "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 |
Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular diseasenpj 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. { "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 |
Ostro, Havas Health Network receive Guinness record for online AI health literacy lessonMobiHealthNews - (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. { "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 |
Ostro, Havas Health Network top Guinness record for online AI health literacy lessonMobiHealthNews - (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. { "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 |
NVIDIA, Sheba, and Mount Sinai Partner to Decode 98% of Human Genome with LLMHIT 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. { "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 |
One FQHC’s AI story – from product research to resultsHealthcare 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. { "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 |
TandemAI scores $22M for drug discovery platformMobiHealthNews - (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. { "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 |
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. { "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 |
The single patient record should build on shared care recordsDigital 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. { "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 |
Thrivory Raises $25M Credit and $3.5M Equity to Eliminate Healthcare Reimbursement Delays with AIHIT 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. { "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 |












