ChatGPT Summaries
eClinical Solutions & Snowflake Integrate Clinical Data ManagementHIT Consultant - (Wednesday December 18, 2024) - Frequent Updates/ HIT Consultant | |
What You Should Know:– eClinical Solutions LLC, a global leader in digital clinical software and services, has announced a strategic collaboration with Snowflake, the AI Data Cloud company.– This partnership establishes a bidirectional integration designed to... Exciting news in the healthcare IT landscape! eClinical Solutions has partnered with Snowflake to revolutionize clinical data management. This strategic collaboration introduces a bidirectional integration of eClinical's elluminate® Clinical Data Cloud with Snowflake’s AI Data Cloud, streamlining data exchange and enhancing support for complex clinical trials. Together, they aim to tackle the challenges of managing clinical data, unlocking greater value and driving innovation in life sciences. This partnership underscores a commitment to advancing data capabilities and fostering efficient clinical research processes.#HealthcareIT #ClinicalData #DataIntegration #LifeSciences #Innovation #ClinicalTrials #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-AfuCDiHRJHIWOCd3b98S86sBrrTA3", "object": "chat.completion", "created": 1734550829, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in the healthcare IT landscape! eClinical Solutions has partnered with Snowflake to revolutionize clinical data management. This strategic collaboration introduces a bidirectional integration of eClinical's elluminate® Clinical Data Cloud with Snowflake’s AI Data Cloud, streamlining data exchange and enhancing support for complex clinical trials. Together, they aim to tackle the challenges of managing clinical data, unlocking greater value and driving innovation in life sciences. This partnership underscores a commitment to advancing data capabilities and fostering efficient clinical research processes. nn#HealthcareIT #ClinicalData #DataIntegration #LifeSciences #Innovation #ClinicalTrials #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 374, "completion_tokens": 123, "total_tokens": 497, "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 } }, "system_fingerprint": "fp_39a40c96a0" } Prompt Tokens - 374 | |
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventionsnpj Digital Medicine - (Wednesday December 18, 2024) - AI/ Frequent Updates/ npj Digital Medicine | |
Artificial intelligence promises to revolutionize mental health care, but small dataset sizes and lack of robust methods raise concerns about result generalizability. To provide insights on minimal necessary data set sizes, we explore domain-specific... Artificial intelligence is set to transform mental healthcare, yet small dataset sizes hinder its potential. This study explores the minimal dataset sizes required for effective machine learning predictions in digital mental health interventions. Analyzing data from 3,654 users, findings reveal that datasets below 500-1,000 users lead to overfitting and unreliable predictions. The research highlights the importance of robust dataset sizes to ensure generalizability and accuracy in AI applications within mental health. As we advance, understanding these parameters is crucial for optimizing digital interventions.#DigitalHealth #MachineLearning #MentalHealth #AIinHealthcare #DataScience #HealthTech #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-AfpVmfpmOhlCtQJyxY28KeovMSl0h", "object": "chat.completion", "created": 1734532822, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Artificial intelligence is set to transform mental healthcare, yet small dataset sizes hinder its potential. This study explores the minimal dataset sizes required for effective machine learning predictions in digital mental health interventions. Analyzing data from 3,654 users, findings reveal that datasets below 500-1,000 users lead to overfitting and unreliable predictions. The research highlights the importance of robust dataset sizes to ensure generalizability and accuracy in AI applications within mental health. As we advance, understanding these parameters is crucial for optimizing digital interventions. nn#DigitalHealth #MachineLearning #MentalHealth #AIinHealthcare #DataScience #HealthTech #PredictiveAnalytics", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 29209, "completion_tokens": 129, "total_tokens": 29338, "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 } }, "system_fingerprint": "fp_6fc10e10eb" } Prompt Tokens - 29209 | |
Digital tool helps remove barriers to motor neuron disease researchDigital Health - (Wednesday December 18, 2024) - Digital Health/ Frequent Updates | |
A digital platform has been developed by University of Sheffield and the UK Motor Neuron Disease (MND) Research Institute to help people participate in clinical studies on MND. The Telehealth in MND-Research (TiM-R) service, hosted... Exciting advancements in MND research! The University of Sheffield and the UK MND Research Institute have launched the Telehealth in MND-Research (TiM-R) platform, streamlining participation in clinical studies for motor neuron disease. This innovative digital tool allows patients to engage remotely, eliminating travel burdens and enhancing participant diversity. By simplifying the research process, TiM-R aims to accelerate the search for effective treatments and foster collaboration among researchers and pharmaceutical companies. As we embrace technology in healthcare, we’re one step closer to finding a cure for MND.#HealthcareIT #DigitalHealth #MNDResearch #Telehealth #ClinicalTrials #PatientEngagement #Innovation As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AfoVsRPY21jykPZzMRGE6Krk0w9Kr", "object": "chat.completion", "created": 1734528984, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in MND research! The University of Sheffield and the UK MND Research Institute have launched the Telehealth in MND-Research (TiM-R) platform, streamlining participation in clinical studies for motor neuron disease. This innovative digital tool allows patients to engage remotely, eliminating travel burdens and enhancing participant diversity. By simplifying the research process, TiM-R aims to accelerate the search for effective treatments and foster collaboration among researchers and pharmaceutical companies. As we embrace technology in healthcare, we’re one step closer to finding a cure for MND. nn#HealthcareIT #DigitalHealth #MNDResearch #Telehealth #ClinicalTrials #PatientEngagement #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 735, "completion_tokens": 134, "total_tokens": 869, "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 } }, "system_fingerprint": "fp_6fc10e10eb" } Prompt Tokens - 735 | |
Patients Prefer AI Over Doctors — Is The Future of Healthcare Here?HIT Consultant - (Wednesday December 18, 2024) - AI/ Digital Health/ Frequent Updates/ HIT Consultant | |
Max Votek, co-founder of CustomertimesAI has left a mark on every industry and the healthcare industry is no exception. Over the years, AI has been integrated into important parts of the healthcare system, such... As AI transforms healthcare, patients are increasingly turning to technology for support, with over 83 million Americans lacking access to primary care. AI enhances diagnostic accuracy, accelerates drug development, and streamlines administrative tasks, allowing healthcare professionals to focus on patient care. However, challenges like the lack of empathy in AI interactions and data privacy concerns remain critical. Balancing AI's efficiency with human compassion is essential for ethical, patient-centered care. As we embrace AI's potential, the future of healthcare looks promising yet demands careful oversight to ensure equitable outcomes.#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #PatientCare #HealthEquity #MedicalInnovation 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-AfuBpLSuqXCXTPTJYyQ3g1fBao67Q", "object": "chat.completion", "created": 1734550805, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "As AI transforms healthcare, patients are increasingly turning to technology for support, with over 83 million Americans lacking access to primary care. AI enhances diagnostic accuracy, accelerates drug development, and streamlines administrative tasks, allowing healthcare professionals to focus on patient care. However, challenges like the lack of empathy in AI interactions and data privacy concerns remain critical. Balancing AI's efficiency with human compassion is essential for ethical, patient-centered care. As we embrace AI's potential, the future of healthcare looks promising yet demands careful oversight to ensure equitable outcomes. nn#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #PatientCare #HealthEquity #MedicalInnovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1191, "completion_tokens": 132, "total_tokens": 1323, "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 } }, "system_fingerprint": "fp_39a40c96a0" } Prompt Tokens - 1191 | |
NHS England launches digital clinical safety standards reviewDigital Health - (Wednesday December 18, 2024) - AI/ Digital Health/ Frequent Updates | |
NHS England has launched a review of digital clinical safety standards, requesting input from NHS stakeholders, IT manufacturers and those involved in digital risk assessment. The review is of digital clinical risk management standards... NHS England is initiating a review of digital clinical safety standards DCB0129 and DCB0160 to ensure they align with current healthcare technology advancements. This review, driven by the rapid digital transformation and the integration of electronic patient record systems, aims to address emerging clinical risks, particularly with AI and cyber threats. Dr. Rosie Benneyworth emphasizes the importance of prioritizing safety in IT decision-making. The review will unfold in two stages, starting with focus groups in February 2025, inviting stakeholder feedback to enhance patient safety in digital health technologies.#HealthIT #DigitalHealth #PatientSafety #EHR #AIinHealthcare #Cybersecurity #NHS As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AfoVXgrcAnJixZXVuGHEmQVyKqfbA", "object": "chat.completion", "created": 1734528963, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "NHS England is initiating a review of digital clinical safety standards DCB0129 and DCB0160 to ensure they align with current healthcare technology advancements. This review, driven by the rapid digital transformation and the integration of electronic patient record systems, aims to address emerging clinical risks, particularly with AI and cyber threats. Dr. Rosie Benneyworth emphasizes the importance of prioritizing safety in IT decision-making. The review will unfold in two stages, starting with focus groups in February 2025, inviting stakeholder feedback to enhance patient safety in digital health technologies. nn#HealthIT #DigitalHealth #PatientSafety #EHR #AIinHealthcare #Cybersecurity #NHS", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 759, "completion_tokens": 134, "total_tokens": 893, "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 } }, "system_fingerprint": "fp_6fc10e10eb" } Prompt Tokens - 759 | |
Digital Health Rewired 2025: A Critical Moment for the NHS’s Transformation?Digital Health - (Wednesday December 18, 2024) - Daily Reads/ Digital Health | |
By Ian Denley, CEO, Graphnet HealthAs we look ahead to Digital Health Rewired 2025, we find ourselves at a pivotal moment for UK healthcare. Wes Streeting, Secretary of State for Health and Social Care,... As we approach Digital Health Rewired 2025, the NHS stands at a transformative crossroads. Wes Streeting’s vision emphasizes three pivotal shifts: moving care from hospitals to communities, prioritizing prevention over treatment, and embracing digital technology. Leveraging population health data is crucial to support these shifts, as evidenced by successful remote monitoring programs leading to significant reductions in hospital interactions and improved patient outcomes. This moment is ripe for collaboration and innovation, allowing us to turn vision into reality and enhance the future of UK healthcare.#DigitalHealth #NHSReform #HealthcareInnovation #PopulationHealth #DataDriven #PreventiveCare #IntegratedCare 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-Afm123o3FheBehyKeFvSfs5QlWDWf", "object": "chat.completion", "created": 1734519384, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "As we approach Digital Health Rewired 2025, the NHS stands at a transformative crossroads. Wes Streeting’s vision emphasizes three pivotal shifts: moving care from hospitals to communities, prioritizing prevention over treatment, and embracing digital technology. Leveraging population health data is crucial to support these shifts, as evidenced by successful remote monitoring programs leading to significant reductions in hospital interactions and improved patient outcomes. This moment is ripe for collaboration and innovation, allowing us to turn vision into reality and enhance the future of UK healthcare. nn#DigitalHealth #NHSReform #HealthcareInnovation #PopulationHealth #DataDriven #PreventiveCare #IntegratedCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1013, "completion_tokens": 127, "total_tokens": 1140, "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 } }, "system_fingerprint": "fp_6fc10e10eb" } Prompt Tokens - 1013 | |
Medway IT systems yet to be restored after cyber scareDigital Health - (Wednesday December 18, 2024) - Digital Health/ Frequent Updates | |
The IT systems at Medway Community Healthcare have not yet been restored following a suspected cyber attack, Digital Health News has learned. Medway announced on 2 December 2024 that an investigation was ongoing and it... The ongoing cyber incident at Medway Community Healthcare highlights the critical vulnerabilities in healthcare IT systems. Following a suspected cyber attack, Medway disconnected its IT systems to safeguard patient data. As of mid-December, systems are still being restored, with a focus on ensuring safe care delivery. Notably, there’s no evidence of unauthorized access to patient data. This incident follows similar attacks across other NHS trusts, emphasizing the urgent need for enhanced cybersecurity measures. Richard Horne of the NCSC urges continuous vigilance in the face of rising cyber threats.#CyberSecurity #HealthcareIT #PatientSafety #NHS #DataProtection #HealthTech #CyberAttack 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-Afm0hceZemYKUj6EfLKbRjlqh9VM5", "object": "chat.completion", "created": 1734519363, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The ongoing cyber incident at Medway Community Healthcare highlights the critical vulnerabilities in healthcare IT systems. Following a suspected cyber attack, Medway disconnected its IT systems to safeguard patient data. As of mid-December, systems are still being restored, with a focus on ensuring safe care delivery. Notably, there’s no evidence of unauthorized access to patient data. This incident follows similar attacks across other NHS trusts, emphasizing the urgent need for enhanced cybersecurity measures. Richard Horne of the NCSC urges continuous vigilance in the face of rising cyber threats. nn#CyberSecurity #HealthcareIT #PatientSafety #NHS #DataProtection #HealthTech #CyberAttack", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 682, "completion_tokens": 129, "total_tokens": 811, "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 } }, "system_fingerprint": "fp_6fc10e10eb" } Prompt Tokens - 682 | |
How emtelligent is Lifting the Clinical and Administrative BurdenHealthcare IT Today - (Wednesday December 18, 2024) - Healthcare IT Today/ Videos | |
The administrative demands on medical professionals are growing. Doctors, nurses, and other staff manage enormous quantities of patient data in electronic health records (EHRs), often needing to sift through hundreds or thousands of pages... In an era of escalating administrative demands, Emtelligent is revolutionizing healthcare with AI solutions that streamline the management of unstructured data in electronic health records (EHRs). Dr. Tim O’Connell, CEO of Emtelligent, highlights how their technology alleviates the burden on clinicians, enabling them to focus on patient care rather than data sifting. With a commitment to balancing data efficiency and patient privacy, Emtelligent is poised to reshape the future of healthcare IT.#HealthcareIT #AIinHealthcare #EHR #HealthTech #DataManagement #PatientCare #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-AfoNrg9OJDRUmyNznxAEeqZUiC2DY", "object": "chat.completion", "created": 1734528487, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In an era of escalating administrative demands, Emtelligent is revolutionizing healthcare with AI solutions that streamline the management of unstructured data in electronic health records (EHRs). Dr. Tim O’Connell, CEO of Emtelligent, highlights how their technology alleviates the burden on clinicians, enabling them to focus on patient care rather than data sifting. With a commitment to balancing data efficiency and patient privacy, Emtelligent is poised to reshape the future of healthcare IT. nn#HealthcareIT #AIinHealthcare #EHR #HealthTech #DataManagement #PatientCare #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 341, "completion_tokens": 120, "total_tokens": 461, "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 } }, "system_fingerprint": "fp_6fc10e10eb" } Prompt Tokens - 341 | |
Advancing digital sensing in mental health researchnpj Digital Medicine - (Wednesday December 18, 2024) - Frequent Updates/ npj Digital Medicine | |
Digital sensing tools, like smartphones and wearables, offer transformative potential for mental health research by enabling scalable, longitudinal data collection. Realizing this promise requires overcoming significant challenges including limited data standards, underpowered studies, and... Digital sensing tools, including smartphones and wearables, hold transformative potential for mental health research by enabling scalable, longitudinal data collection. However, significant challenges remain, such as limited data standards and underpowered studies. A recent workshop outlined strategies to overcome these hurdles, emphasizing the importance of rigorous, equitable research. Key recommendations include establishing data standards, fostering interdisciplinary collaboration, and enhancing community engagement through participatory research. By addressing these challenges, the field can leverage digital sensing technologies to improve mental health outcomes effectively.#DigitalHealth #MentalHealthResearch #DataStandards #WearableTech #HealthEquity #ParticipatoryResearch #HealthInnovation 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-AfzUqLC1qNvaff6qtIVZMy0UY7Ae1", "object": "chat.completion", "created": 1734571204, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Digital sensing tools, including smartphones and wearables, hold transformative potential for mental health research by enabling scalable, longitudinal data collection. However, significant challenges remain, such as limited data standards and underpowered studies. A recent workshop outlined strategies to overcome these hurdles, emphasizing the importance of rigorous, equitable research. Key recommendations include establishing data standards, fostering interdisciplinary collaboration, and enhancing community engagement through participatory research. By addressing these challenges, the field can leverage digital sensing technologies to improve mental health outcomes effectively. nn#DigitalHealth #MentalHealthResearch #DataStandards #WearableTech #HealthEquity #ParticipatoryResearch #HealthInnovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 24645, "completion_tokens": 127, "total_tokens": 24772, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 24645 | |
HEALWELL AI buying Orion Health for $115MMobiHealthNews - (Wednesday December 18, 2024) - Frequent Updates/ MobiHealthNews | |
Toronto-listed HEALWELL AI is making a multi-million-dollar purchase of New Zealand-based Orion Health to combine their capabilities in data infrastructure and AI. The Canadian healthcare AI company signed a deal to acquire Orion Health, which offers health... HEALWELL AI's acquisition of Orion Health for CA$165 million marks a significant shift in healthcare data management and AI capabilities. This "game changer" deal, expected to close in April, will enhance HEALWELL's revenue streams and expand its distribution channels for AI solutions. Orion Health's established presence in 11 countries and its innovative health systems, including a digital care record platform, position HEALWELL for robust growth, with projections of over CA$100 million in revenue by 2025. This strategic move underscores a commitment to R&D and deepening ties in the public healthcare sector. #HealthcareIT #AIinHealthcare #DigitalHealth #HealthData #EHR #HealthTech #Innovation As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AfcT8UP4G1GxUQopLTDOGZR4q7FBQ", "object": "chat.completion", "created": 1734482686, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "HEALWELL AI's acquisition of Orion Health for CA$165 million marks a significant shift in healthcare data management and AI capabilities. This "game changer" deal, expected to close in April, will enhance HEALWELL's revenue streams and expand its distribution channels for AI solutions. Orion Health's established presence in 11 countries and its innovative health systems, including a digital care record platform, position HEALWELL for robust growth, with projections of over CA$100 million in revenue by 2025. This strategic move underscores a commitment to R&D and deepening ties in the public healthcare sector. #HealthcareIT #AIinHealthcare #DigitalHealth #HealthData #EHR #HealthTech #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 658, "completion_tokens": 144, "total_tokens": 802, "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 } }, "system_fingerprint": "fp_6fc10e10eb" } Prompt Tokens - 658 | |