ChatGPT Summaries
Identifying major depressive disorder in older adults through naturalistic driving behaviors and machine learningnpj Digital Medicine - (Saturday February 15, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Depression in older adults is often underdiagnosed and has been linked to adverse outcomes, including motor vehicle crashes. With a growing population of older drivers in the United States, innovations in screening methods are... Innovative research reveals that naturalistic driving behaviors can serve as effective indicators for identifying major depressive disorder (MDD) in older adults. Utilizing machine learning algorithms on two years of GPS data from 157 participants, the study achieved an impressive model accuracy of 86%. The findings highlight the potential of driving data as a digital neurobehavioral marker, paving the way for improved screening and treatment access for older adults at risk of depression. This approach not only enhances mental health outcomes but also addresses driving safety concerns.#HealthcareIT #MachineLearning #MentalHealth #Depression #AgingPopulation #DataAnalytics #DigitalHealth As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-B16CGjJmAKvEsHgvH7b9pNBiHvdSs", "object": "chat.completion", "created": 1739601848, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Innovative research reveals that naturalistic driving behaviors can serve as effective indicators for identifying major depressive disorder (MDD) in older adults. Utilizing machine learning algorithms on two years of GPS data from 157 participants, the study achieved an impressive model accuracy of 86%. The findings highlight the potential of driving data as a digital neurobehavioral marker, paving the way for improved screening and treatment access for older adults at risk of depression. This approach not only enhances mental health outcomes but also addresses driving safety concerns. nn#HealthcareIT #MachineLearning #MentalHealth #Depression #AgingPopulation #DataAnalytics #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 24271, "completion_tokens": 125, "total_tokens": 24396, "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_00428b782a" } Prompt Tokens - 24271 |
Getting Started with TEFCAOffice of the National Coordinator for Health IT - (Saturday February 15, 2025) - Office of the National Coordinator for Health IT/ Videos | |
![]() | Unlocking the potential of TEFCA is essential for healthcare interoperability. This framework aims to streamline data sharing across diverse health systems, enhancing patient care and operational efficiency. Key components include the Trusted Exchange Framework and the Common Agreement, which facilitate secure and standardized information exchange. As healthcare IT professionals, embracing TEFCA can lead to improved collaboration and innovation in our field. Let’s harness this opportunity to transform patient experiences and outcomes through effective data connectivity.#HealthcareIT #Interoperability #TEFCA #PatientCare #HealthData #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. { "id": "chatcmpl-B3ZTR8gpNdMBCqiRv691kT9DwptAK", "object": "chat.completion", "created": 1740191045, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of TEFCA is essential for healthcare interoperability. This framework aims to streamline data sharing across diverse health systems, enhancing patient care and operational efficiency. Key components include the Trusted Exchange Framework and the Common Agreement, which facilitate secure and standardized information exchange. As healthcare IT professionals, embracing TEFCA can lead to improved collaboration and innovation in our field. Let’s harness this opportunity to transform patient experiences and outcomes through effective data connectivity. nn#HealthcareIT #Interoperability #TEFCA #PatientCare #HealthData #DigitalHealth #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 133, "completion_tokens": 114, "total_tokens": 247, "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_709714d124" } Prompt Tokens - 133 |
Self supervised artificial intelligence predicts poor outcome from primary cutaneous squamous cell carcinoma at diagnosisnpj Digital Medicine - (Saturday February 15, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Primary cutaneous squamous cell carcinoma (cSCC) is responsible for ~10,000 deaths annually in the United States. Stratification of risk of poor outcome at initial biopsy would significantly impact clinical decision-making during the initial post... Harnessing the power of self-supervised AI, researchers have developed a model that predicts poor outcomes in primary cutaneous squamous cell carcinoma (cSCC) at diagnosis. By analyzing whole-slide images from over 700 patients, the model achieved impressive concordance indices of 0.73 and 0.84 in different cohorts. Key histopathological features, such as poor differentiation and deep invasion, were identified as strong predictors of prognosis. This innovative approach not only enhances risk stratification but also has the potential to guide clinical decisions, improving patient outcomes in a field where timely intervention is critical.#HealthcareIT #AIinHealthcare #MachineLearning #DigitalPathology #SkinCancer #DataScience #PredictiveAnalytics 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-B1NgkhFfkttCth1jZ9awk5ynJgKhx", "object": "chat.completion", "created": 1739669086, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing the power of self-supervised AI, researchers have developed a model that predicts poor outcomes in primary cutaneous squamous cell carcinoma (cSCC) at diagnosis. By analyzing whole-slide images from over 700 patients, the model achieved impressive concordance indices of 0.73 and 0.84 in different cohorts. Key histopathological features, such as poor differentiation and deep invasion, were identified as strong predictors of prognosis. This innovative approach not only enhances risk stratification but also has the potential to guide clinical decisions, improving patient outcomes in a field where timely intervention is critical. nn#HealthcareIT #AIinHealthcare #MachineLearning #DigitalPathology #SkinCancer #DataScience #PredictiveAnalytics", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 33507, "completion_tokens": 146, "total_tokens": 33653, "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_00428b782a" } Prompt Tokens - 33507 |
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysisnpj Digital Medicine - (Saturday February 15, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Distributed learning enables collaborative machine learning model training without requiring cross-institutional data sharing, thereby addressing privacy concerns. However, local quality control variability can negatively impact model performance while systematic human visual inspection is time-consuming... In the evolving landscape of healthcare IT, the identification and elimination of harmful datasets in distributed machine learning is crucial. This innovative study presents a self-supervised approach that automates the detection of detrimental data, enhancing the reliability of medical image analysis. By leveraging neuroimaging data from 83 centers, the method effectively identifies harmful samples that could increase misdiagnosis rates. This advancement not only streamlines quality control but also paves the way for improved model performance in distributed learning frameworks.#HealthcareIT #MachineLearning #MedicalImaging #DataQuality #AIinHealthcare #FederatedLearning #Neuroimaging 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-B1NgMuaQQDW0Pz6Gnhg9KfWlmxObx", "object": "chat.completion", "created": 1739669062, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the evolving landscape of healthcare IT, the identification and elimination of harmful datasets in distributed machine learning is crucial. This innovative study presents a self-supervised approach that automates the detection of detrimental data, enhancing the reliability of medical image analysis. By leveraging neuroimaging data from 83 centers, the method effectively identifies harmful samples that could increase misdiagnosis rates. This advancement not only streamlines quality control but also paves the way for improved model performance in distributed learning frameworks. nn#HealthcareIT #MachineLearning #MedicalImaging #DataQuality #AIinHealthcare #FederatedLearning #Neuroimaging", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 31961, "completion_tokens": 124, "total_tokens": 32085, "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_00428b782a" } Prompt Tokens - 31961 |
#Health2Tech New York, Feb 13th featuring true patient advocates: Jen Horonjeff & Grace Cordovano. | |
![]() | What a fantastic night! Our Health2Tech event on February 13th with Jen and Grace was engaging, interactive, and full of invaluable insights. We tackled many important issues around patient advocacy and involvement in designing... What an inspiring evening at #Health2Tech! Our February 13th event featured patient advocates Jen Horonjeff and Grace Cordovano, who led an engaging discussion on the critical role of patient involvement in tech design. Their insights sparked meaningful conversations about enhancing healthcare technology through advocacy. A big thank you to all attendees and to FINN for hosting this impactful gathering. We can’t wait for our next event in March—stay tuned!#HealthcareIT #PatientAdvocacy #HealthTech #Innovation #DigitalHealth #PatientEngagement #HealthcareTransformation 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-B128aK9i0tVGPAxVGd7aolSad7g4x", "object": "chat.completion", "created": 1739586244, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "What an inspiring evening at #Health2Tech! Our February 13th event featured patient advocates Jen Horonjeff and Grace Cordovano, who led an engaging discussion on the critical role of patient involvement in tech design. Their insights sparked meaningful conversations about enhancing healthcare technology through advocacy. A big thank you to all attendees and to FINN for hosting this impactful gathering. We can’t wait for our next event in March—stay tuned! nn#HealthcareIT #PatientAdvocacy #HealthTech #Innovation #DigitalHealth #PatientEngagement #HealthcareTransformation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 243, "completion_tokens": 113, "total_tokens": 356, "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_00428b782a" } Prompt Tokens - 243 |
knownwell expands hybrid care platform across ChicagoMobiHealthNews - (Saturday February 15, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | Boston-based knownwell, a hybrid weight-inclusive primary and metabolic care provider, announced it expanded into six clinics across the greater Chicago area and will provide patients across the midwest access to virtual care. The company touts... Exciting developments in hybrid healthcare! Knownwell, a Boston-based provider, is expanding its weight-inclusive primary and metabolic care model into six clinics across the greater Chicago area, enhancing access to virtual care for patients in the Midwest. With the addition of 23 regional employees and Dr. Anthony Auriemma as the new market medical director, Knownwell is committed to delivering inclusive, bias-free healthcare. This expansion follows their successful groundwork in New England and recent growth in Texas. Their innovative approach, bolstered by AI-driven solutions, positions them as a leader in addressing obesity care nationwide. #HealthcareIT #HybridCare #Telehealth #MetabolicHealth #PatientCare #HealthEquity #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-B0yH0VZ0DQU77xMPjZLBumnbgP9Qy", "object": "chat.completion", "created": 1739571390, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in hybrid healthcare! Knownwell, a Boston-based provider, is expanding its weight-inclusive primary and metabolic care model into six clinics across the greater Chicago area, enhancing access to virtual care for patients in the Midwest. With the addition of 23 regional employees and Dr. Anthony Auriemma as the new market medical director, Knownwell is committed to delivering inclusive, bias-free healthcare. This expansion follows their successful groundwork in New England and recent growth in Texas. Their innovative approach, bolstered by AI-driven solutions, positions them as a leader in addressing obesity care nationwide. #HealthcareIT #HybridCare #Telehealth #MetabolicHealth #PatientCare #HealthEquity #AIinHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 546, "completion_tokens": 141, "total_tokens": 687, "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_00428b782a" } Prompt Tokens - 546 |
Atria Health Launches National Partnership Model to Keep Cardiology Practices Independent – MedCity NewsMedCity News - (Saturday February 15, 2025) - Frequent Updates/ MedCity News | |
![]() | The nation’s independent cardiology practices are facing serious challenges, such as financial pressures, rising competition and fragmented technology. These struggles have left many practices with no choice but to be gobbled up by a... Atria Health is redefining the landscape for independent cardiology practices by launching a nationwide partnership model that prioritizes autonomy and sustainability. Unlike traditional private equity approaches, Atria empowers physician-led practices with capital, expertise, and technology, enabling them to thrive without losing control. CEO Matt Eakins emphasizes the importance of building long-term relationships that foster growth and enhance patient care. This innovative model aims to create a more resilient future for cardiologists and their communities. Atria's commitment to value-based service lines positions it as a transformative force in cardiovascular medicine.#HealthcareIT #Cardiology #ValueBasedCare #PatientCentric #PhysicianEmpowerment #HealthcareInnovation #SustainablePractices 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-B0yD2c9WmVd30ELIZohCVcG3I6cmr", "object": "chat.completion", "created": 1739571144, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Atria Health is redefining the landscape for independent cardiology practices by launching a nationwide partnership model that prioritizes autonomy and sustainability. Unlike traditional private equity approaches, Atria empowers physician-led practices with capital, expertise, and technology, enabling them to thrive without losing control. CEO Matt Eakins emphasizes the importance of building long-term relationships that foster growth and enhance patient care. This innovative model aims to create a more resilient future for cardiologists and their communities. Atria's commitment to value-based service lines positions it as a transformative force in cardiovascular medicine. nn#HealthcareIT #Cardiology #ValueBasedCare #PatientCentric #PhysicianEmpowerment #HealthcareInnovation #SustainablePractices", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 654, "completion_tokens": 141, "total_tokens": 795, "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_00428b782a" } Prompt Tokens - 654 |
Midwest Health Purchasers Collaborative Taps Vida Health for Obesity Specialty Care – MedCity NewsMedCity News - (Saturday February 15, 2025) - Frequent Updates/ MedCity News | |
![]() | The Midwest Health Purchasers Collaborative (MHPC), a nonprofit employer purchasing organization, has teamed up with Vida Health, a virtual obesity and metabolic health provider, to offer employers obesity care.MHPC is part of the Midwest... The Midwest Health Purchasers Collaborative (MHPC) has partnered with Vida Health to enhance obesity care for its members, representing over 4 million lives. This collaboration allows access to Vida's comprehensive obesity management solutions, which include personalized treatment plans, weekly video consultations, and a multidisciplinary team of specialists. As employers face rising costs associated with obesity treatments, Vida prioritizes lifestyle interventions, with 76% of patients opting for lower-cost alternatives. This partnership exemplifies MHPC's commitment to providing effective, vetted health solutions that address both obesity and related health conditions.#HealthcareIT #DigitalHealth #ObesityCare #HealthInnovation #EmployerHealth #ChronicCare #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. { "id": "chatcmpl-B0y5MkxRAaxPNi3Cuh2TT6vtAGclh", "object": "chat.completion", "created": 1739570668, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The Midwest Health Purchasers Collaborative (MHPC) has partnered with Vida Health to enhance obesity care for its members, representing over 4 million lives. This collaboration allows access to Vida's comprehensive obesity management solutions, which include personalized treatment plans, weekly video consultations, and a multidisciplinary team of specialists. As employers face rising costs associated with obesity treatments, Vida prioritizes lifestyle interventions, with 76% of patients opting for lower-cost alternatives. This partnership exemplifies MHPC's commitment to providing effective, vetted health solutions that address both obesity and related health conditions. nn#HealthcareIT #DigitalHealth #ObesityCare #HealthInnovation #EmployerHealth #ChronicCare #BehavioralHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 687, "completion_tokens": 137, "total_tokens": 824, "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_00428b782a" } Prompt Tokens - 687 |
Exero Medical scores $12.7 in funding and more digital funding newsMobiHealthNews - (Saturday February 15, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | Exero Medical, a company focused on early detection of post-operative complications using tissue healing data, has secured up to $12.7 million in funding to complete its FDA trial and launch its breakthrough-designated xBar system... Exciting developments in healthcare funding are paving the way for innovative solutions! Exero Medical has secured $12.7 million to enhance post-operative care with its xBar system, aiming to transform complication detection. Vitalchat's $6 million Series A will boost AI integration in virtual care, empowering healthcare teams to focus on patient connections. Cerula Care raised $3.7 million to enhance cancer care navigation and mental health support. These investments highlight a growing commitment to improving patient outcomes and streamlining healthcare processes.#HealthcareIT #DigitalHealth #Innovation #FundingNews #PatientCare #AIinHealthcare #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-B0y4yJZ5ZGa7H3wLvIYtd2SM7mPU5", "object": "chat.completion", "created": 1739570644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in healthcare funding are paving the way for innovative solutions! Exero Medical has secured $12.7 million to enhance post-operative care with its xBar system, aiming to transform complication detection. Vitalchat's $6 million Series A will boost AI integration in virtual care, empowering healthcare teams to focus on patient connections. Cerula Care raised $3.7 million to enhance cancer care navigation and mental health support. These investments highlight a growing commitment to improving patient outcomes and streamlining healthcare processes. nn#HealthcareIT #DigitalHealth #Innovation #FundingNews #PatientCare #AIinHealthcare #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 727, "completion_tokens": 124, "total_tokens": 851, "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_00428b782a" } Prompt Tokens - 727 |
Exero Medical scores $12.7M in funding and more digital funding newsMobiHealthNews - (Saturday February 15, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | Exero Medical, a company focused on early detection of post-operative complications using tissue healing data, has secured up to $12.7 million in funding to complete its FDA trial and launch its breakthrough-designated xBar system... Exciting developments in healthcare innovation! Exero Medical has secured $12.7 million in funding to advance its xBar system for early detection of post-operative complications, promising to transform post-operative care. Meanwhile, Vitalchat raised $6 million to enhance its AI-driven virtual care platform, allowing healthcare teams to focus on patient connection rather than paperwork. Cerula Care also made waves with $3.7 million in seed funding to improve cancer patients' mental health through coordinated care. These investments highlight a growing commitment to leveraging technology for better patient outcomes.#HealthcareIT #DigitalHealth #Innovation #FundingNews #PatientCare #AIinHealthcare #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-B1C7xjpFVPSFcs0iHW6BF1bIWXKnF", "object": "chat.completion", "created": 1739624645, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in healthcare innovation! Exero Medical has secured $12.7 million in funding to advance its xBar system for early detection of post-operative complications, promising to transform post-operative care. Meanwhile, Vitalchat raised $6 million to enhance its AI-driven virtual care platform, allowing healthcare teams to focus on patient connection rather than paperwork. Cerula Care also made waves with $3.7 million in seed funding to improve cancer patients' mental health through coordinated care. These investments highlight a growing commitment to leveraging technology for better patient outcomes. nn#HealthcareIT #DigitalHealth #Innovation #FundingNews #PatientCare #AIinHealthcare #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 742, "completion_tokens": 132, "total_tokens": 874, "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_13eed4fce1" } Prompt Tokens - 742 |