ChatGPT Summaries
Deep-Learning Model Shows Promise in Measuring Joint AttentionHealth IT Analytics - (Friday June 2, 2023) - Daily Reads/ Health IT Analytics | |
By Mark MelchionnaJune 02, 2023 - A study published in JAMA Network Open describes a deep-learning (DL) model that showed the ability to determine differences between children with autism spectrum disorder (ASD) and typical development... #DeepLearning Model Measures Joint Attention in AutismResearchers have developed a deep-learning model that can accurately measure joint attention in children with autism spectrum disorder (#ASD). Joint attention is the ability to share attention with another person towards a common object or event. It is a critical social skill that individuals with ASD often struggle with.#MeasuringJointAttention with Eye-Tracking TechnologyTraditionally, joint attention has been measured using eye-tracking technology. However, this method can be time-consuming and expensive. The deep-learning model developed by the researchers uses a simpler and more cost-effective method of measuring joint attention.#TheStudyThe study involved 37 children with ASD and 45 typically developing children. The children were shown a series of videos while 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. Deep-Learning Model Shows Promise in Measuring Joint Attention https://healthitanalytics.com/news/deep-learning-model-shows-promise-in-measuring-joint-attention {"id":"chatcmpl-7N48HIyZG8J5lpRZbNU0K5oKRqknE","object":"chat.completion","created":1685731785,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":171,"completion_tokens":150,"total_tokens":321},"choices":[{"message":{"role":"assistant","content":"#DeepLearning Model Measures Joint Attention in AutismnnResearchers have developed a deep-learning model that can accurately measure joint attention in children with autism spectrum disorder (#ASD). Joint attention is the ability to share attention with another person towards a common object or event. It is a critical social skill that individuals with ASD often struggle with.nn#MeasuringJointAttention with Eye-Tracking TechnologynnTraditionally, joint attention has been measured using eye-tracking technology. However, this method can be time-consuming and expensive. The deep-learning model developed by the researchers uses a simpler and more cost-effective method of measuring joint attention.nn#TheStudynnThe study involved 37 children with ASD and 45 typically developing children. The children were shown a series of videos while their"},"finish_reason":"length","index":0}]} Prompt Tokens - 171 | |
Researchers Propose New Digital Health Assessment FrameworkmHealth Intelligence - (Friday June 2, 2023) - Daily Reads/ mHealth Intelligence | |
By Anuja Vaidya June 02, 2023 - A group of researchers has proposed a new framework to assess evidence for digital health interventions.Known as Evidence in Digital health for EFfectiveness of INterventions with Evaluative Depth (Evidence... #NewDigitalHealthAssessmentFramework proposed by researchers aims to evaluate digital health tools and their impact on patient outcomes. The framework consists of four key components: #Usability, #Effectiveness, #Engagement, and #Impact. Usability evaluates the ease of use and accessibility of the tool. Effectiveness measures the tool's ability to improve patient outcomes. Engagement assesses the level of patient involvement and motivation. Impact evaluates the overall impact of the tool on patient health and healthcare costs. The framework can help healthcare organizations select and implement digital health tools that are effective and patient-centered. 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. Researchers Propose New Digital Health Assessment Framework https://mhealthintelligence.com/news/researchers-propose-new-digital-health-assessment-framework {"id":"chatcmpl-7N40VECLFJ6qtUFLm1KTNeUaMosbL","object":"chat.completion","created":1685731303,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":165,"completion_tokens":117,"total_tokens":282},"choices":[{"message":{"role":"assistant","content":"#NewDigitalHealthAssessmentFramework proposed by researchers aims to evaluate digital health tools and their impact on patient outcomes. The framework consists of four key components: #Usability, #Effectiveness, #Engagement, and #Impact. Usability evaluates the ease of use and accessibility of the tool. Effectiveness measures the tool's ability to improve patient outcomes. Engagement assesses the level of patient involvement and motivation. Impact evaluates the overall impact of the tool on patient health and healthcare costs. The framework can help healthcare organizations select and implement digital health tools that are effective and patient-centered."},"finish_reason":"stop","index":0}]} Prompt Tokens - 165 | |
DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countriesnpj Digital Medicine - (Friday June 2, 2023) - Frequent Updates/ npj Digital Medicine | |
The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric... #DeepBreath: Automated Detection of Respiratory Pathology in Pediatric OutpatientsResearchers have developed a new AI-powered tool called DeepBreath that can accurately detect respiratory pathology in pediatric outpatients. The tool uses lung auscultation, a non-invasive method of listening to the sounds of the lungs, to identify respiratory conditions such as asthma, pneumonia, and bronchiolitis. The study was conducted across five countries and involved 572 pediatric outpatients.#The Need for Accurate Respiratory Pathology DetectionRespiratory conditions are a leading cause of morbidity and mortality in children worldwide. However, accurate diagnosis of respiratory pathology can be challenging, especially in low-resource settings. Lung auscultation is a widely used diagnostic tool, 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. DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries https://www.nature.com/articles/s41746-023-00838-3 {"id":"chatcmpl-7N3O322WMfgQYwJEZhVc1dWLKPKWl","object":"chat.completion","created":1685728919,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":180,"completion_tokens":150,"total_tokens":330},"choices":[{"message":{"role":"assistant","content":"#DeepBreath: Automated Detection of Respiratory Pathology in Pediatric OutpatientsnnResearchers have developed a new AI-powered tool called DeepBreath that can accurately detect respiratory pathology in pediatric outpatients. The tool uses lung auscultation, a non-invasive method of listening to the sounds of the lungs, to identify respiratory conditions such as asthma, pneumonia, and bronchiolitis. The study was conducted across five countries and involved 572 pediatric outpatients.nn#The Need for Accurate Respiratory Pathology DetectionnnRespiratory conditions are a leading cause of morbidity and mortality in children worldwide. However, accurate diagnosis of respiratory pathology can be challenging, especially in low-resource settings. Lung auscultation is a widely used diagnostic tool,"},"finish_reason":"length","index":0}]} Prompt Tokens - 180 | |
Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignanciesnpj Digital Medicine - (Friday June 2, 2023) - Frequent Updates/ npj Digital Medicine | |
Serious clinical complications (SCC; CTCAE grade ≥ 3) occur frequently in patients treated for hematological malignancies. Early diagnosis and treatment of SCC are essential to improve outcomes. Here we report a deep learning model-derived SCC-Score to... #Wearable-Based Monitoring and Self-Supervised Contrastive Learning Detect Clinical Complications During Treatment of Hematologic MalignanciesA recent study published in Nature Communications highlights the potential of wearable devices and self-supervised contrastive learning in detecting clinical complications during the treatment of hematologic malignancies. The study involved 30 patients who were monitored using wearable devices and machine learning algorithms.#Wearable Devices for MonitoringThe wearable devices used in the study included smartwatches and chest straps that collected data on heart rate, skin temperature, and activity levels. The data was then analyzed using machine learning algorithms to identify patterns and detect potential complications.#Self-Supervised Contrastive LearningThe study also utilized self-supervised contrastive learning, a 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. Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies https://www.nature.com/articles/s41746-023-00847-2 {"id":"chatcmpl-7N3Nmxx5STuvxPl1FVuvumIb0cHDO","object":"chat.completion","created":1685728902,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":177,"completion_tokens":150,"total_tokens":327},"choices":[{"message":{"role":"assistant","content":"#Wearable-Based Monitoring and Self-Supervised Contrastive Learning Detect Clinical Complications During Treatment of Hematologic MalignanciesnnA recent study published in Nature Communications highlights the potential of wearable devices and self-supervised contrastive learning in detecting clinical complications during the treatment of hematologic malignancies. The study involved 30 patients who were monitored using wearable devices and machine learning algorithms.nn#Wearable Devices for MonitoringnnThe wearable devices used in the study included smartwatches and chest straps that collected data on heart rate, skin temperature, and activity levels. The data was then analyzed using machine learning algorithms to identify patterns and detect potential complications.nn#Self-Supervised Contrastive LearningnnThe study also utilized self-supervised contrastive learning, a"},"finish_reason":"length","index":0}]} Prompt Tokens - 177 | |
Researchers Develop eCQMs for Cancer Diagnostic Process, Follow-UpEHR Intelligence - (Friday June 2, 2023) - Daily Reads/ EHR Intelligence | |
By Hannah NelsonJune 02, 2023 - Electronic clinical quality measures (eCQMs) to assess quality of cancer diagnosis could help improve diagnostic performance, according to a study published in JAMIA. Researchers developed and implemented two eCQMs to... #ResearchersDevelopeCQMsforCancerDiagnosticProcessFollowUpResearchers have developed electronic clinical quality measures (eCQMs) for the cancer diagnostic process and follow-up. The eCQMs will help healthcare providers improve their cancer care quality. The eCQMs are based on the National Comprehensive Cancer Network (NCCN) guidelines and can be integrated into electronic health records (EHRs).#TheNeedforCancerCareQualityCancer is a leading cause of death worldwide, and the quality of cancer care is crucial for improving patient outcomes. The eCQMs will help healthcare providers measure and improve the quality of cancer care they provide.#TheDevelopmentofeCQMsThe eCQ 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. Researchers Develop eCQMs for Cancer Diagnostic Process, Follow-Up https://ehrintelligence.com/news/researchers-develop-ecqms-for-cancer-diagnostic-process-follow-up {"id":"chatcmpl-7N2lLvj9nA2rNkcGPifj2IKGryNfT","object":"chat.completion","created":1685726519,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":174,"completion_tokens":150,"total_tokens":324},"choices":[{"message":{"role":"assistant","content":"#ResearchersDevelopeCQMsforCancerDiagnosticProcessFollowUpnnResearchers have developed electronic clinical quality measures (eCQMs) for the cancer diagnostic process and follow-up. The eCQMs will help healthcare providers improve their cancer care quality. The eCQMs are based on the National Comprehensive Cancer Network (NCCN) guidelines and can be integrated into electronic health records (EHRs). nn#TheNeedforCancerCareQualitynnCancer is a leading cause of death worldwide, and the quality of cancer care is crucial for improving patient outcomes. The eCQMs will help healthcare providers measure and improve the quality of cancer care they provide.nn#TheDevelopmentofeCQMsnnThe eCQ"},"finish_reason":"length","index":0}]} Prompt Tokens - 174 | |
Healthcare IT Trends to Watch in the Second Half of 2023 | The Healthcare GuysThe Healthcare Guys - (Friday June 2, 2023) - Frequent Updates/ The Healthcare Guys | |
Digitalization is transforming the healthcare industry, with software integration becoming a key component of the patient experience. Healthcare organizations are increasing their software investments post-pandemic, despite economic uncertainty. US health systems plan to invest... #HealthcareITTrends2023: What to Expect in the Second Half of the YearThe Healthcare Guys blog post highlights the emerging healthcare IT trends that are expected to shape the industry in the second half of 2023. The post covers the following topics:#1. AI and Machine Learning in Healthcare The use of AI and machine learning algorithms is expected to grow rapidly in healthcare, particularly in areas such as medical imaging, drug discovery, and personalized medicine.#2. Blockchain in Healthcare Blockchain technology is expected to become more widely adopted in healthcare, particularly in areas such as medical records management, clinical trials, and supply chain management.#3. Telemedicine and Remote Patient Monitoring The COVID-19 pandemic has accelerated the adoption 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. Healthcare IT Trends to Watch in the Second Half of 2023 | The Healthcare Guys https://www.healthcareguys.com/2023/06/02/healthcare-it-trends-to-watch-in-the-second-half-of-2023/?utm_source=rss&utm_medium=rss&utm_campaign=healthcare-it-trends-to-watch-in-the-second-half-of-2023 {"id":"chatcmpl-7N2ODkZdZUc5TB6feFCZH1wDfyTSs","object":"chat.completion","created":1685725085,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":213,"completion_tokens":150,"total_tokens":363},"choices":[{"message":{"role":"assistant","content":"#HealthcareITTrends2023: What to Expect in the Second Half of the YearnnThe Healthcare Guys blog post highlights the emerging healthcare IT trends that are expected to shape the industry in the second half of 2023. The post covers the following topics:nn#1. AI and Machine Learning in HealthcarenThe use of AI and machine learning algorithms is expected to grow rapidly in healthcare, particularly in areas such as medical imaging, drug discovery, and personalized medicine.nn#2. Blockchain in HealthcarenBlockchain technology is expected to become more widely adopted in healthcare, particularly in areas such as medical records management, clinical trials, and supply chain management.nn#3. Telemedicine and Remote Patient MonitoringnThe COVID-19 pandemic has accelerated the adoption"},"finish_reason":"length","index":0}]} Prompt Tokens - 213 | |
Healthcare Innovation Funding – Regulations and Disrupting Traditional Models | Healthcare IT TodayHealthcare IT Today - (Friday June 2, 2023) - Daily Reads/ Healthcare IT Today | |
We are at an exciting time in the world of healthcare! With technology becoming more accessible and more and more digital natives entering the work force, there’s an abundance of innovation. We have so... #HealthcareInnovationFunding: Regulations and Disrupting Traditional ModelsThe healthcare industry is constantly evolving, and innovation plays a crucial role in driving this evolution. However, innovation requires funding, and healthcare innovation funding is subject to various regulations. This blog post explores the challenges and opportunities of healthcare innovation funding, as well as the potential for disrupting traditional models.#ChallengesinHealthcareInnovationFundingOne of the biggest challenges in healthcare innovation funding is the regulatory environment. The FDA has strict guidelines for medical devices and drugs, which can make it difficult for startups and small businesses to get their products to market. Additionally, reimbursement policies can be complex and unpredictable, making it difficult for innovators to plan for the future.#Op 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. Healthcare Innovation Funding – Regulations and Disrupting Traditional Models | Healthcare IT Today https://www.healthcareittoday.com/2023/06/02/healthcare-innovation-funding-regulations-and-disrupting-traditional-models/ {"id":"chatcmpl-7N2kymMAZuu2vh2mO0igjRmc0kuYl","object":"chat.completion","created":1685726496,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":187,"completion_tokens":150,"total_tokens":337},"choices":[{"message":{"role":"assistant","content":"#HealthcareInnovationFunding: Regulations and Disrupting Traditional ModelsnnThe healthcare industry is constantly evolving, and innovation plays a crucial role in driving this evolution. However, innovation requires funding, and healthcare innovation funding is subject to various regulations. This blog post explores the challenges and opportunities of healthcare innovation funding, as well as the potential for disrupting traditional models.nn#ChallengesinHealthcareInnovationFundingnnOne of the biggest challenges in healthcare innovation funding is the regulatory environment. The FDA has strict guidelines for medical devices and drugs, which can make it difficult for startups and small businesses to get their products to market. Additionally, reimbursement policies can be complex and unpredictable, making it difficult for innovators to plan for the future.nn#Op"},"finish_reason":"length","index":0}]} Prompt Tokens - 187 | |
ConcertAI, Caris Life Sciences partner for oncology researchMobiHealthNews - (Friday June 2, 2023) - Frequent Updates/ MobiHealthNews | |
Healthcare data company ConcertAI announced its expanded partnership with Caris Life Sciences, where the companies will jointly create a database to generate insights to advance precision medicine, clinical trial management and therapeutic development. ConcertAI is... #ConcertAI and Caris Life Sciences Partner for Oncology ResearchConcertAI, a healthcare AI company, has partnered with Caris Life Sciences to advance oncology research. The partnership will involve integrating ConcertAI's EHR-agnostic platform with Caris' tumor profiling technology to create a comprehensive cancer care management system.#The Benefits of the PartnershipThe partnership will allow for personalized cancer care management by combining genomic and clinical data. This will enable physicians to make more informed treatment decisions for their patients. Additionally, the partnership will allow for the development of new clinical trials and drug discovery efforts.#The Importance of Oncology ResearchOncology research is crucial for advancing cancer treatments and improving patient outcomes. By partnering with Concert 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. ConcertAI, Caris Life Sciences partner for oncology research https://www.mobihealthnews.com/news/concertai-caris-life-sciences-partner-oncology-research {"id":"chatcmpl-7N1pMifAQHoo3CaUvkQl4xem5iP3C","object":"chat.completion","created":1685722924,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":175,"completion_tokens":150,"total_tokens":325},"choices":[{"message":{"role":"assistant","content":"#ConcertAI and Caris Life Sciences Partner for Oncology ResearchnnConcertAI, a healthcare AI company, has partnered with Caris Life Sciences to advance oncology research. The partnership will involve integrating ConcertAI's EHR-agnostic platform with Caris' tumor profiling technology to create a comprehensive cancer care management system. nn#The Benefits of the PartnershipnnThe partnership will allow for personalized cancer care management by combining genomic and clinical data. This will enable physicians to make more informed treatment decisions for their patients. Additionally, the partnership will allow for the development of new clinical trials and drug discovery efforts. nn#The Importance of Oncology ResearchnnOncology research is crucial for advancing cancer treatments and improving patient outcomes. By partnering with Concert"},"finish_reason":"length","index":0}]} Prompt Tokens - 175 | |
Surescripts Makes Interoperability OfficialHealthcare IT Today - (Friday June 2, 2023) - Healthcare IT Today/ Videos | |
Surecripts is a company that is synonymous with e-prescribing. Increasingly, healthcare organizations are using the company’s platform to exchange more than prescription information. Vaccination status, demographic information and notes are increasingly shared. Surescripts recently... #Surescripts Makes Interoperability OfficialSurescripts, a healthcare information technology company, has announced the launch of its National Record Locator Service (NRLS). The NRLS is a nationwide service that aims to improve interoperability among healthcare providers by allowing them to access patient records from other providers. This service will help providers to have a more complete picture of a patient’s medical history, leading to better decision-making and improved patient outcomes.#How NRLS WorksThe NRLS works by connecting different electronic health record (EHR) systems and health information exchanges (HIEs) across the country. When a provider requests patient information, the NRLS searches for records from other providers and HIEs and returns them to the requesting 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. Surescripts Makes Interoperability Official https://www.youtube.com/watch?v=aL6VnBENVX0 {"id":"chatcmpl-7N5CJElweHSJ2dBHt8E9K7o9vVpXG","object":"chat.completion","created":1685735879,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":162,"completion_tokens":150,"total_tokens":312},"choices":[{"message":{"role":"assistant","content":"#Surescripts Makes Interoperability OfficialnnSurescripts, a healthcare information technology company, has announced the launch of its National Record Locator Service (NRLS). The NRLS is a nationwide service that aims to improve interoperability among healthcare providers by allowing them to access patient records from other providers. This service will help providers to have a more complete picture of a patient’s medical history, leading to better decision-making and improved patient outcomes.nn#How NRLS WorksnnThe NRLS works by connecting different electronic health record (EHR) systems and health information exchanges (HIEs) across the country. When a provider requests patient information, the NRLS searches for records from other providers and HIEs and returns them to the requesting"},"finish_reason":"length","index":0}]} Prompt Tokens - 162 | |
Q&A: Nox Health on its $3.9M bid for Pear Therapeutics’ assetsMobiHealthNews - (Friday June 2, 2023) - Frequent Updates/ MobiHealthNews | |
Tech-enabled sleep health company Nox Health was the highest bidder of Pear Therapeutics' Somryst assets at an auction last month that followed the prescription digital therapeutic company's bankruptcy in April.Nox bid $3.9 million for... #NoxHealth acquires #PearTherapeutics assets for $3.9MNox Health, a sleep health company, has acquired the assets of Pear Therapeutics for $3.9 million. The acquisition includes Pear's digital therapeutics for substance abuse and addiction, insomnia, and depression. Nox Health plans to integrate Pear's technology into its sleep health platform.#NoxHealth's plans for Pear's digital therapeuticsNox Health plans to integrate Pear's digital therapeutics into its sleep health platform, which includes a sleep apnea diagnosis and treatment program. The company hopes to use Pear's technology to expand its offerings to include treatment for substance abuse and addiction, insomnia, and depression.#Why Nox Health acquired 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. Q&A: Nox Health on its $3.9M bid for Pear Therapeutics’ assets https://www.mobihealthnews.com/news/qa-nox-health-its-39m-bid-pear-therapeutics-assets {"id":"chatcmpl-7N1ow8RUgkh5i3zA7AhFgbhOYLysW","object":"chat.completion","created":1685722898,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":190,"completion_tokens":150,"total_tokens":340},"choices":[{"message":{"role":"assistant","content":"#NoxHealth acquires #PearTherapeutics assets for $3.9MnnNox Health, a sleep health company, has acquired the assets of Pear Therapeutics for $3.9 million. The acquisition includes Pear's digital therapeutics for substance abuse and addiction, insomnia, and depression. Nox Health plans to integrate Pear's technology into its sleep health platform.nn#NoxHealth's plans for Pear's digital therapeuticsnnNox Health plans to integrate Pear's digital therapeutics into its sleep health platform, which includes a sleep apnea diagnosis and treatment program. The company hopes to use Pear's technology to expand its offerings to include treatment for substance abuse and addiction, insomnia, and depression.nn#Why Nox Health acquired"},"finish_reason":"length","index":0}]} Prompt Tokens - 190 | |