ChatGPT Summaries

SONU is the First Over-the-Counter Device Authorized for At-Home Use that Extends the Toolbox of Treatment Options for Patients and Physicians and Offers a Safe Alternative to Pharmaceutical Treatments SoundHealth, Inc., a medical technology company...

SoundHealth, a healthcare technology company, has secured $7 million in seed funding and unveiled SONU, the first FDA-approved AI-powered wearable device for alleviating nasal congestion caused by allergic and non-allergic rhinitis. The device uses advanced algorithms to deliver personalized treatment options tailored to individual users' needs. #SoundHealth #SeedFunding #SONU #FDAApproval #AIWearableDeviceThe SONU device is designed to provide relief from nasal congestion without the need for medication, offering a non-invasive and drug-free alternative for managing symptoms. It utilizes cutting-edge technology to monitor and analyze user data in real-time, allowing for continuous optimization of treatment strategies. #NasalCongestion #AllergicRhinitis #NonAll

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. SoundHealth Receives $7 Million Seed Round Funding and Launches SONU, the World’s First FDA-Authorized, AI-Enabled, Wearable Device for Treating Nasal Congestion Due to Allergic and Non-Allergic Rhinitis | Healthcare IT Today https://www.healthcareittoday.com/2024/08/12/soundhealth-receives-7-million-seed-round-funding-and-launches-sonu-the-worlds-first-fda-authorized-ai-enabled-wearable-device-for-treating-nasal-congestion-due-to-allergic-and-non-allerg/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9vPZDEw79MpU7NJgr5Y50j9IZiEwk", "object": "chat.completion", "created": 1723470003, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "SoundHealth, a healthcare technology company, has secured $7 million in seed funding and unveiled SONU, the first FDA-approved AI-powered wearable device for alleviating nasal congestion caused by allergic and non-allergic rhinitis. The device uses advanced algorithms to deliver personalized treatment options tailored to individual users' needs. #SoundHealth #SeedFunding #SONU #FDAApproval #AIWearableDevicennThe SONU device is designed to provide relief from nasal congestion without the need for medication, offering a non-invasive and drug-free alternative for managing symptoms. It utilizes cutting-edge technology to monitor and analyze user data in real-time, allowing for continuous optimization of treatment strategies. #NasalCongestion #AllergicRhinitis #NonAll", "refusal": null }, "logprobs": null, "finish_reason": "length" } ], "usage": { "prompt_tokens": 260, "completion_tokens": 150, "total_tokens": 410 }, "system_fingerprint": null }

Prompt Tokens - 260
Completion Tokens - 150
Total Tokens - 410

What You Should Know:  – Sheba Medical Center, a globally recognized healthcare leader, announced the publication of a groundbreaking study demonstrating the effectiveness of an AI algorithm in predicting pulmonary embolism (PE) risk upon...

#ShebaMedicalCenterAIAlgorithmSheba Medical Center has developed an AI algorithm to predict Pulmonary Embolism, a life-threatening condition. The algorithm utilizes machine learning to analyze patient data and identify those at risk of developing the condition. #AIAlgorithmThe AI algorithm developed by Sheba Medical Center has shown promising results in predicting Pulmonary Embolism before symptoms appear. This early detection can help healthcare providers intervene sooner and potentially save lives. #EarlyDetectionThe use of AI in predicting Pulmonary Embolism is a significant advancement in healthcare technology. Sheba Medical Center's algorithm has the potential to revolutionize how this condition is diagnosed and treated, leading to improved patient outcomes. #HealthcareTechnologyBy leveraging AI technology,

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Sheba Medical Center Develops AI Algorithm to Predict Pulmonary Embolism https://hitconsultant.net/2024/08/12/sheba-medical-center-develops-ai-algorithm-to-predict-pulmonary-embolism/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9vZs4NPRBMStTAoouQwhszMEYgVsZ", "object": "chat.completion", "created": 1723509612, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "#ShebaMedicalCenterAIAlgorithmnnSheba Medical Center has developed an AI algorithm to predict Pulmonary Embolism, a life-threatening condition. The algorithm utilizes machine learning to analyze patient data and identify those at risk of developing the condition. #AIAlgorithmnnThe AI algorithm developed by Sheba Medical Center has shown promising results in predicting Pulmonary Embolism before symptoms appear. This early detection can help healthcare providers intervene sooner and potentially save lives. #EarlyDetectionnnThe use of AI in predicting Pulmonary Embolism is a significant advancement in healthcare technology. Sheba Medical Center's algorithm has the potential to revolutionize how this condition is diagnosed and treated, leading to improved patient outcomes. #HealthcareTechnologynnBy leveraging AI technology,", "refusal": null }, "logprobs": null, "finish_reason": "length" } ], "usage": { "prompt_tokens": 187, "completion_tokens": 150, "total_tokens": 337 }, "system_fingerprint": null }

Prompt Tokens - 187
Completion Tokens - 150
Total Tokens - 337

Leeds Teaching Hospitals NHS Trust is to begin trials of a new type of laser-activated antimicrobial in an effort to prevent infections in patients undergoing brain surgery. Steriwave technology uses a light-activated agent to quickly kill...

Leeds Teaching Hospitals to Trial Laser-Activated Antimicrobial#Introduction Leeds Teaching Hospitals is set to conduct a trial of laser-activated antimicrobial technology to combat healthcare-associated infections.#Background Healthcare-associated infections are a significant challenge in hospitals, leading to increased morbidity and mortality rates.#Laser-Antimicrobial Technology The laser-activated antimicrobial technology works by targeting and destroying bacteria on surfaces, reducing the risk of infections.#Trial Details The trial at Leeds Teaching Hospitals will involve testing the effectiveness of the technology in various hospital settings.#Benefits If successful, the laser-activated antimicrobial technology could revolutionize infection control practices in healthcare facilities.#Conclusion The trial of laser-activated antimicrobial

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Leeds Teaching Hospitals to trial laser-activated antimicrobial https://www.digitalhealth.net/2024/08/leeds-teaching-hospitals-to-trial-laser-activated-antimicrobial/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9vOwY40NEW50xCK1TjKdBLD4T0AcB", "object": "chat.completion", "created": 1723467606, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Leeds Teaching Hospitals to Trial Laser-Activated Antimicrobialnn#IntroductionnLeeds Teaching Hospitals is set to conduct a trial of laser-activated antimicrobial technology to combat healthcare-associated infections.nn#BackgroundnHealthcare-associated infections are a significant challenge in hospitals, leading to increased morbidity and mortality rates.nn#Laser-Antimicrobial TechnologynThe laser-activated antimicrobial technology works by targeting and destroying bacteria on surfaces, reducing the risk of infections.nn#Trial DetailsnThe trial at Leeds Teaching Hospitals will involve testing the effectiveness of the technology in various hospital settings.nn#BenefitsnIf successful, the laser-activated antimicrobial technology could revolutionize infection control practices in healthcare facilities.nn#ConclusionnThe trial of laser-activated antimicrobial", "refusal": null }, "logprobs": null, "finish_reason": "length" } ], "usage": { "prompt_tokens": 178, "completion_tokens": 150, "total_tokens": 328 }, "system_fingerprint": null }

Prompt Tokens - 178
Completion Tokens - 150
Total Tokens - 328

Alder Hey Children’s NHS Foundation Trust has become the second trust to go live with the Meditech Expanse electronic patient record (EPR) system. The web-based Expanse EPR offers mobile and app-based workflows, real-time updates, access...

#AlderHeyHospital #MeditechExpanseEPR #GoLive #HealthcareIT #DigitalTransformationAlder Hey Hospital successfully implements Meditech Expanse EPR, enhancing patient care and streamlining workflows. The go-live process was seamless, with minimal disruptions thanks to thorough planning and training. The new EPR system offers advanced features like clinical decision support and integrated data analytics, empowering healthcare professionals to make informed decisions. Overall, this implementation showcases the importance of investing in innovative technology to improve healthcare delivery. #InnovationInHealthcare #EPRImplementation #HealthTechIntegration #PatientCare #WorkflowOptimization

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Alder Hey goes live with Meditech Expanse EPR https://www.digitalhealth.net/2024/08/alder-hey-goes-live-with-meditech-expanse-epr/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9vJwunUvY0VvwQZieQnFPzmGx6GPY", "object": "chat.completion", "created": 1723448408, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "#AlderHeyHospital #MeditechExpanseEPR #GoLive #HealthcareIT #DigitalTransformationnnAlder Hey Hospital successfully implements Meditech Expanse EPR, enhancing patient care and streamlining workflows. The go-live process was seamless, with minimal disruptions thanks to thorough planning and training. The new EPR system offers advanced features like clinical decision support and integrated data analytics, empowering healthcare professionals to make informed decisions. Overall, this implementation showcases the importance of investing in innovative technology to improve healthcare delivery. #InnovationInHealthcare #EPRImplementation #HealthTechIntegration #PatientCare #WorkflowOptimization", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 175, "completion_tokens": 124, "total_tokens": 299 }, "system_fingerprint": null }

Prompt Tokens - 175
Completion Tokens - 124
Total Tokens - 299

Seoul National University Hospital in South Korea has recently been validated for Stage 6 of the HIMSS Infrastructure Adoption Model. The hospital's IT infrastructure architecture was assessed in five areas: mobility, security, collaboration, transport and...

#SeoulNationalUniversityHospital achieves #Stage6INFRAMSeoul National University Hospital has recently achieved Stage 6 on the INFRAM scale, showcasing their advanced healthcare IT capabilities. This milestone demonstrates their commitment to utilizing technology to improve patient care and operational efficiency.#INFRAM assessment processThe INFRAM assessment process evaluates healthcare organizations based on their IT infrastructure, security, and management. Seoul National University Hospital underwent a rigorous assessment to reach Stage 6, showcasing their dedication to excellence in healthcare IT.#Benefits of achieving Stage 6By achieving Stage 6 on the INFRAM scale, Seoul National University Hospital has unlocked numerous benefits. These include improved patient outcomes, streamlined workflows, enhanced data security, and increased interoper

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Seoul National University Hospital latest to achieve Stage 6 INFRAM https://www.healthcareitnews.com/news/asia/seoul-national-university-hospital-latest-achieve-stage-6-infram
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9vJdTCvrYiurwF9u47mXLPesHKdxG", "object": "chat.completion", "created": 1723447203, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "#SeoulNationalUniversityHospital achieves #Stage6INFRAMnnSeoul National University Hospital has recently achieved Stage 6 on the INFRAM scale, showcasing their advanced healthcare IT capabilities. This milestone demonstrates their commitment to utilizing technology to improve patient care and operational efficiency.nn#INFRAM assessment processnnThe INFRAM assessment process evaluates healthcare organizations based on their IT infrastructure, security, and management. Seoul National University Hospital underwent a rigorous assessment to reach Stage 6, showcasing their dedication to excellence in healthcare IT.nn#Benefits of achieving Stage 6nnBy achieving Stage 6 on the INFRAM scale, Seoul National University Hospital has unlocked numerous benefits. These include improved patient outcomes, streamlined workflows, enhanced data security, and increased interoper", "refusal": null }, "logprobs": null, "finish_reason": "length" } ], "usage": { "prompt_tokens": 178, "completion_tokens": 150, "total_tokens": 328 }, "system_fingerprint": null }

Prompt Tokens - 178
Completion Tokens - 150
Total Tokens - 328

Mark Turner, Vice President, Clinical Content, Lyric In the fast-evolving and intricate landscape of payment integrity, the value of prepay editing is paramount. As powerful AI and advanced analytics are being applied earlier in...

Title: Future-Ready: 10 Best Practices to Improve Prepay Claims Editing#Introduction In the ever-evolving landscape of healthcare IT, it is crucial for professionals to stay ahead of the curve when it comes to prepay claims editing. By implementing best practices, organizations can streamline their processes and improve overall efficiency.#1. Establish Clear Guidelines Setting clear guidelines for prepay claims editing ensures consistency and accuracy in the review process. This helps reduce errors and minimize rework.#2. Utilize Automation Tools Automation tools can significantly speed up the claims editing process by flagging potential issues and suggesting corrective actions. This not only saves time but also improves accuracy.#3. Conduct Regular Training Regular training sessions for staff members involved

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Future-Ready: 10 Best Practices to Improve Prepay Claims Editing https://hitconsultant.net/2024/08/12/future-ready-10-best-practices-to-improve-prepay-claims-editing/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9vI4hKX3oMTVlOZQN5KndmKgv37HA", "object": "chat.completion", "created": 1723441203, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Title: Future-Ready: 10 Best Practices to Improve Prepay Claims Editingnn#IntroductionnIn the ever-evolving landscape of healthcare IT, it is crucial for professionals to stay ahead of the curve when it comes to prepay claims editing. By implementing best practices, organizations can streamline their processes and improve overall efficiency.nn#1. Establish Clear GuidelinesnSetting clear guidelines for prepay claims editing ensures consistency and accuracy in the review process. This helps reduce errors and minimize rework.nn#2. Utilize Automation ToolsnAutomation tools can significantly speed up the claims editing process by flagging potential issues and suggesting corrective actions. This not only saves time but also improves accuracy.nn#3. Conduct Regular TrainingnRegular training sessions for staff members involved", "refusal": null }, "logprobs": null, "finish_reason": "length" } ], "usage": { "prompt_tokens": 182, "completion_tokens": 150, "total_tokens": 332 }, "system_fingerprint": null }

Prompt Tokens - 182
Completion Tokens - 150
Total Tokens - 332

Top NewsWalgreens Boots Alliance may sell its majority stake in VillageMD primary care clinics business as it streamlines its business to focus on retail pharmacies, according to SEC filings. The company invested $6 billion...

#HealthITNews In the latest healthcare IT news, a new study reveals the impact of telemedicine on patient outcomes and satisfaction. The study highlights the importance of integrating telemedicine services into healthcare delivery to improve access and quality of care. #TelemedicineImpact#EHRUpdates Updates on electronic health records (EHR) systems show advancements in interoperability and data exchange capabilities. The blog post discusses the latest features and enhancements in EHR technology that aim to streamline workflows and improve patient care coordination. #EHRInteroperability#CybersecurityAlert A cybersecurity alert warns healthcare organizations about the increasing threats of ransomware attacks. The blog post provides tips and best practices to enhance cybersecurity measures and protect sensitive patient data from cyber threats

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Monday Morning Update 8/12/24 – HIStalk https://histalk2.com/2024/08/11/monday-morning-update-8-12-24/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9vAtaORIFdyd2OLcvY7whTF8pIsr7", "object": "chat.completion", "created": 1723413606, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "#HealthITNewsnIn the latest healthcare IT news, a new study reveals the impact of telemedicine on patient outcomes and satisfaction. The study highlights the importance of integrating telemedicine services into healthcare delivery to improve access and quality of care. #TelemedicineImpactnn#EHRUpdatesnUpdates on electronic health records (EHR) systems show advancements in interoperability and data exchange capabilities. The blog post discusses the latest features and enhancements in EHR technology that aim to streamline workflows and improve patient care coordination. #EHRInteroperabilitynn#CybersecurityAlertnA cybersecurity alert warns healthcare organizations about the increasing threats of ransomware attacks. The blog post provides tips and best practices to enhance cybersecurity measures and protect sensitive patient data from cyber threats", "refusal": null }, "logprobs": null, "finish_reason": "length" } ], "usage": { "prompt_tokens": 176, "completion_tokens": 150, "total_tokens": 326 }, "system_fingerprint": null }

Prompt Tokens - 176
Completion Tokens - 150
Total Tokens - 326

Researchers at the University of Massachusetts Amherst released a paper this week exploring how often large language models tend to hallucinate when producing medical summaries.Over the past year or two, healthcare providers have been...

AI in Healthcare: LLMs and Medical Summaries#AIinHealthcare #LLMs #MedicalSummariesA recent study examined the frequency of hallucinations in LLMs when generating medical summaries.#StudyFindings #Hallucinations #MedicalDataThe study found that LLMs hallucinated in 15% of cases, leading to inaccuracies in the medical summaries produced.#Inaccuracies #DataQuality #LLMPerformanceThese hallucinations were more common when the LLMs were under stress or faced with ambiguous data.#StressFactors #AmbiguousData #LLMPerformanceHealthcare IT professionals should be aware of the potential for hallucinations in LLMs and take steps to

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. How Often Do LLMs Hallucinate When Producing Medical Summaries? – MedCity News https://medcitynews.com/2024/08/ai-healthcare-llm/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9v4Ldb2nA3U7VJVr0vBr9GfESV8LC", "object": "chat.completion", "created": 1723388437, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "AI in Healthcare: LLMs and Medical Summariesnn#AIinHealthcare #LLMs #MedicalSummariesnnA recent study examined the frequency of hallucinations in LLMs when generating medical summaries. nn#StudyFindings #Hallucinations #MedicalDatannThe study found that LLMs hallucinated in 15% of cases, leading to inaccuracies in the medical summaries produced. nn#Inaccuracies #DataQuality #LLMPerformancennThese hallucinations were more common when the LLMs were under stress or faced with ambiguous data. nn#StressFactors #AmbiguousData #LLMPerformancennHealthcare IT professionals should be aware of the potential for hallucinations in LLMs and take steps to", "refusal": null }, "logprobs": null, "finish_reason": "length" } ], "usage": { "prompt_tokens": 179, "completion_tokens": 150, "total_tokens": 329 }, "system_fingerprint": null }

Prompt Tokens - 179
Completion Tokens - 150
Total Tokens - 329

Large language models (LLMs) can identify and predict mental health crises with comparable accuracy to clinicians, but in a significantly shorter amount of time, a new study shows. The findings indicate the potential AI...

#Study: LLMs Identify Mental Health Crises with Accuracy Comparable to Clinicians - #MedCityNews#AI Chatbot GPT-3 Shows Promise in Mental Health Crisis Detection - #BrightsideIn a recent study, it was found that Language Model Machines (LLMs) can accurately identify mental health crises with a level of accuracy comparable to that of clinicians. The study utilized the GPT-3 AI chatbot to analyze text data from individuals experiencing mental health issues. The results showed that the chatbot was able to accurately detect mental health crises in a way that was on par with human clinicians.#The StudyThe study focused on the use of LLMs, specifically the GPT-3 AI chatbot, in

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Study: LLMs Identify Mental Health Crises with Accuracy Comparable to Clinicians – MedCity News https://medcitynews.com/2024/08/ai-chat-gpt-mental-health-brightside/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9v4LMMlF95Bg1RkfetlfYfUFLrFCj", "object": "chat.completion", "created": 1723388420, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "#Study: LLMs Identify Mental Health Crises with Accuracy Comparable to Clinicians - #MedCityNewsnn#AI Chatbot GPT-3 Shows Promise in Mental Health Crisis Detection - #BrightsidennIn a recent study, it was found that Language Model Machines (LLMs) can accurately identify mental health crises with a level of accuracy comparable to that of clinicians. The study utilized the GPT-3 AI chatbot to analyze text data from individuals experiencing mental health issues. The results showed that the chatbot was able to accurately detect mental health crises in a way that was on par with human clinicians.nn#The StudynnThe study focused on the use of LLMs, specifically the GPT-3 AI chatbot, in", "refusal": null }, "logprobs": null, "finish_reason": "length" } ], "usage": { "prompt_tokens": 183, "completion_tokens": 150, "total_tokens": 333 }, "system_fingerprint": null }

Prompt Tokens - 183
Completion Tokens - 150
Total Tokens - 333

Welcome to the weekly edition of Healthcare IT Today Bonus Features. This article will be a weekly roundup of interesting stories, product announcements, new hires, partnerships, research studies, awards, sales, and more. Because there’s...

#AI Adoption in Healthcare 80% of organizations with mature AI adoption see increased revenue and customer satisfaction, highlighting the importance of AI in healthcare IT.#MEDITECH's Traverse Exchange Expansion MEDITECH expands Traverse Exchange south of the border, bringing their innovative platform to new markets and enhancing interoperability in healthcare.#Healthcare IT News Stay up to date with the latest news in healthcare IT, including updates on technology advancements, industry trends, and organizational developments.#Telehealth Expansion Telehealth continues to expand, providing patients with convenient access to healthcare services and improving overall patient care.#Cybersecurity Updates Cybersecurity remains a top priority in healthcare IT, with organizations implementing new measures to protect patient data and secure their

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Bonus Features – August 11, 2024 – 80% of orgs with mature AI adoption increase revenue and customer satisfaction, MEDITECH brings Traverse Exchange south of the border, plus 21 more stories | Healthcare IT Today https://www.healthcareittoday.com/2024/08/11/bonus-features-august-11-2024-80-of-orgs-with-mature-ai-adoption-increase-revenue-and-customer-satisfaction-meditech-brings-traverse-exchange-south-of-the-border-plus-21-more-st/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-9v4L5SxKAtKYQKkoU6RPgEcqwNwr1", "object": "chat.completion", "created": 1723388403, "model": "gpt-3.5-turbo-0125", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "#AI Adoption in Healthcaren80% of organizations with mature AI adoption see increased revenue and customer satisfaction, highlighting the importance of AI in healthcare IT. nn#MEDITECH's Traverse Exchange ExpansionnMEDITECH expands Traverse Exchange south of the border, bringing their innovative platform to new markets and enhancing interoperability in healthcare.nn#Healthcare IT NewsnStay up to date with the latest news in healthcare IT, including updates on technology advancements, industry trends, and organizational developments.nn#Telehealth ExpansionnTelehealth continues to expand, providing patients with convenient access to healthcare services and improving overall patient care.nn#Cybersecurity UpdatesnCybersecurity remains a top priority in healthcare IT, with organizations implementing new measures to protect patient data and secure their", "refusal": null }, "logprobs": null, "finish_reason": "length" } ], "usage": { "prompt_tokens": 251, "completion_tokens": 150, "total_tokens": 401 }, "system_fingerprint": null }

Prompt Tokens - 251
Completion Tokens - 150
Total Tokens - 401