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Review: Cortex XSOAR Protects Against Common Threats in Healthcare

HealthTech Magazine - (Tuesday January 28, 2025) - Frequent Updates/ HealthTech Magazine

Weak cybersecurity can damage a healthcare organization’s reputation, especially if it results in a high-profile attack that compromises the personal data of staff and patients or steals other sensitive or legally protected information. Many...

In the ever-evolving landscape of healthcare cybersecurity, Cortex XSOAR emerges as a game-changer. This automated platform significantly enhances threat response, allowing healthcare organizations to combat common cyberattacks with efficiency. By automating low-level threats, XSOAR frees up IT staff to focus on complex challenges, achieving over 90% threat mitigation without human intervention. Its customizable features and intuitive interface empower teams to tailor responses and enhance security practices. As healthcare faces increasing cyber risks, leveraging such advanced solutions is crucial for safeguarding sensitive data and maintaining operational integrity.#Cybersecurity #HealthcareIT #Automation #ThreatIntelligence #DataProtection #HealthTech #XSOAR

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AunQKngIIbbcEgRnzxxbtsptOJzcn", "object": "chat.completion", "created": 1738099716, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the ever-evolving landscape of healthcare cybersecurity, Cortex XSOAR emerges as a game-changer. This automated platform significantly enhances threat response, allowing healthcare organizations to combat common cyberattacks with efficiency. By automating low-level threats, XSOAR frees up IT staff to focus on complex challenges, achieving over 90% threat mitigation without human intervention. Its customizable features and intuitive interface empower teams to tailor responses and enhance security practices. As healthcare faces increasing cyber risks, leveraging such advanced solutions is crucial for safeguarding sensitive data and maintaining operational integrity. nn#Cybersecurity #HealthcareIT #Automation #ThreatIntelligence #DataProtection #HealthTech #XSOAR", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 6032, "completion_tokens": 134, "total_tokens": 6166, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 6032
Completion Tokens - 134
Total Tokens - 6166

 

Q&A: Included Health on specialty care and personalized health tools

MobiHealthNews - (Tuesday January 28, 2025) - Frequent Updates/ MobiHealthNews

Robin Cherry Glass, president at virtual care company Included Health, sat down with MobiHealthNews at the company's office in San Francisco outside the JPM Healthcare Conference to discuss its initiatives in specialty care and...

In a recent discussion, Robin Cherry Glass, president of Included Health, highlighted the company's commitment to enhancing specialty care and personalized health tools. With a focus on value for both individuals and purchasers, Included Health has launched services for CalPERS, serving over 250,000 members. The company aims to deliver timely access to care, particularly in specialty areas like cancer, while addressing the complexities of healthcare navigation. As they expand into in-person care and pharmacy services, Included Health is dedicated to transforming the healthcare experience for patients.#HealthcareIT #Telehealth #PatientExperience #SpecialtyCare #ValueBasedCare #HealthTech #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AuoMeP7PVT1vOzjfZGzrBW33BV7MP", "object": "chat.completion", "created": 1738103332, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent discussion, Robin Cherry Glass, president of Included Health, highlighted the company's commitment to enhancing specialty care and personalized health tools. With a focus on value for both individuals and purchasers, Included Health has launched services for CalPERS, serving over 250,000 members. The company aims to deliver timely access to care, particularly in specialty areas like cancer, while addressing the complexities of healthcare navigation. As they expand into in-person care and pharmacy services, Included Health is dedicated to transforming the healthcare experience for patients. nn#HealthcareIT #Telehealth #PatientExperience #SpecialtyCare #ValueBasedCare #HealthTech #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1083, "completion_tokens": 129, "total_tokens": 1212, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 1083
Completion Tokens - 129
Total Tokens - 1212

 

Effectiveness of an mHealth Intervention With Short Text Messages to Promote Treatment Adherence Among HIV-Positive Mexican Adults: Randomized Controlled Trial

JMIR mHealth and uHealth - (Tuesday January 28, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: HIV continues to be a public health concern for Mexico and Latin America due to an increase in new cases, instead of a decrease, such as is observed globally. Treatment adherence is a...

A recent randomized controlled trial highlights the effectiveness of an mHealth intervention using SMS to enhance ART adherence among HIV-positive adults in Mexico. With a significant increase in adherence (96% vs. 92%) and improved clinical outcomes, this approach demonstrates the potential of technology in public health strategies. As we face rising HIV cases in Latin America, innovative solutions like SMS reminders can play a crucial role in achieving better health outcomes and viral suppression. Let's leverage technology to transform patient care! #mHealth #HIVAwareness #DigitalHealth #PatientAdherence #PublicHealth #HealthTech #InnovationInHealthcare

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AunPyYo04sdPvrHKW65L6G8PnQFyH", "object": "chat.completion", "created": 1738099694, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A recent randomized controlled trial highlights the effectiveness of an mHealth intervention using SMS to enhance ART adherence among HIV-positive adults in Mexico. With a significant increase in adherence (96% vs. 92%) and improved clinical outcomes, this approach demonstrates the potential of technology in public health strategies. As we face rising HIV cases in Latin America, innovative solutions like SMS reminders can play a crucial role in achieving better health outcomes and viral suppression. Let's leverage technology to transform patient care! #mHealth #HIVAwareness #DigitalHealth #PatientAdherence #PublicHealth #HealthTech #InnovationInHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 438, "completion_tokens": 120, "total_tokens": 558, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 438
Completion Tokens - 120
Total Tokens - 558

 

Eleos secures $60M for behavioral health with AI agents

MobiHealthNews - (Tuesday January 28, 2025) - AI/ Frequent Updates/ MobiHealthNews

Eleos, an AI behavioral healthcare company, announced it raised $60 million in a Series C funding round, bringing its total raise to more than $120 million.The round was led by Greenfield Partners, with participation...

Exciting developments in behavioral health! Eleos has raised $60 million in Series C funding, totaling over $120 million to date. Their innovative AI voice tool enhances clinician efficiency by automating documentation and patient engagement during mental health sessions. With plans to expand into underserved areas, including substance use treatment, Eleos is committed to empowering clinicians and improving care delivery. This funding will bolster their new Compliance product and further their mission to streamline administrative tasks, allowing providers to focus on patient care.#HealthcareIT #BehavioralHealth #AIinHealthcare #MentalHealthInnovation #DigitalHealth #HealthTech #ClinicalEfficiency

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AumQTdd1UvtAUcnknsrvpu7zO4E0w", "object": "chat.completion", "created": 1738095881, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in behavioral health! Eleos has raised $60 million in Series C funding, totaling over $120 million to date. Their innovative AI voice tool enhances clinician efficiency by automating documentation and patient engagement during mental health sessions. With plans to expand into underserved areas, including substance use treatment, Eleos is committed to empowering clinicians and improving care delivery. This funding will bolster their new Compliance product and further their mission to streamline administrative tasks, allowing providers to focus on patient care. nn#HealthcareIT #BehavioralHealth #AIinHealthcare #MentalHealthInnovation #DigitalHealth #HealthTech #ClinicalEfficiency", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 771, "completion_tokens": 123, "total_tokens": 894, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 771
Completion Tokens - 123
Total Tokens - 894

 

We have to employ health monitoring technologies. #healthtech #rpm

BeKey - (Tuesday January 28, 2025) - BeKey/ Videos

We have to employ these monitoring technologies; we have to employ more technologies that enable you to take better care of yourself so you don't need as many touches to someone like me. #digitalhealth...

In today's healthcare landscape, leveraging health monitoring technologies is crucial for enhancing patient self-care and reducing reliance on healthcare providers. By integrating digital health solutions and wearables, we empower individuals to manage their health proactively, leading to improved outcomes and efficiency. The future of healthcare lies in these innovations that promote self-monitoring and preventive care. Embracing these tools not only benefits patients but also streamlines the healthcare system. Let's drive the conversation on the importance of adopting these technologies for a healthier tomorrow!#HealthTech #RPM #DigitalHealth #Wearables #PatientEmpowerment #HealthcareInnovation #PreventiveCare

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AuwiabRk0S6i7Y8Rke2ufvomgMZdK", "object": "chat.completion", "created": 1738135444, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In today's healthcare landscape, leveraging health monitoring technologies is crucial for enhancing patient self-care and reducing reliance on healthcare providers. By integrating digital health solutions and wearables, we empower individuals to manage their health proactively, leading to improved outcomes and efficiency. The future of healthcare lies in these innovations that promote self-monitoring and preventive care. Embracing these tools not only benefits patients but also streamlines the healthcare system. Let's drive the conversation on the importance of adopting these technologies for a healthier tomorrow! nn#HealthTech #RPM #DigitalHealth #Wearables #PatientEmpowerment #HealthcareInnovation #PreventiveCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 180, "completion_tokens": 123, "total_tokens": 303, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 180
Completion Tokens - 123
Total Tokens - 303

 

A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs

npj Digital Medicine - (Tuesday January 28, 2025) - AI/ Frequent Updates/ npj Digital Medicine

Rare diseases, affecting ~350 million people worldwide, pose significant challenges in clinical diagnosis due to the lack of experienced physicians and the complexity of differentiating between numerous rare diseases. To address these challenges, we...

PhenoBrain, a groundbreaking AI pipeline, has demonstrated superior performance in diagnosing rare diseases compared to human experts. Utilizing a BERT-based NLP model, it extracts phenotypes from electronic health records (EHRs) and employs advanced diagnostic models. In tests involving 2,271 cases across 431 rare diseases, PhenoBrain achieved a top-3 recall of 0.613, surpassing 50 specialist physicians and large language models like ChatGPT. This innovation not only enhances diagnostic accuracy but also highlights the potential for AI integration into clinical workflows, paving the way for improved patient outcomes. #AIinHealthcare #RareDiseases #HealthTech #MachineLearning #EHR #DigitalMedicine #NLP

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Aum74rD9Z6l8ES8KleqsAhKykfWrr", "object": "chat.completion", "created": 1738094678, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "PhenoBrain, a groundbreaking AI pipeline, has demonstrated superior performance in diagnosing rare diseases compared to human experts. Utilizing a BERT-based NLP model, it extracts phenotypes from electronic health records (EHRs) and employs advanced diagnostic models. In tests involving 2,271 cases across 431 rare diseases, PhenoBrain achieved a top-3 recall of 0.613, surpassing 50 specialist physicians and large language models like ChatGPT. This innovation not only enhances diagnostic accuracy but also highlights the potential for AI integration into clinical workflows, paving the way for improved patient outcomes. #AIinHealthcare #RareDiseases #HealthTech #MachineLearning #EHR #DigitalMedicine #NLP", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 36182, "completion_tokens": 143, "total_tokens": 36325, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 36182
Completion Tokens - 143
Total Tokens - 36325

 

The use of large language models in detecting Chinese ultrasound report errors

npj Digital Medicine - (Tuesday January 28, 2025) - Frequent Updates/ npj Digital Medicine

This retrospective study evaluated the efficacy of large language models (LLMs) in improving the accuracy of Chinese ultrasound reports. Data from three hospitals (January-April 2024) including 400 reports with 243 errors across six categories...

Harnessing the power of large language models (LLMs) like Claude 3.5 Sonnet and GPT-4o, a recent study reveals their potential in enhancing the accuracy of Chinese ultrasound reports. Analyzing 400 reports, the LLMs outperformed human radiologists in error detection rates, achieving 52.3% and 41.2% in zero-shot settings, respectively. Notably, they processed reports significantly faster, with Claude completing tasks in just 13.2 seconds per report. This research underscores the transformative role of AI in healthcare, promising improved diagnostic accuracy and efficiency.#HealthcareIT #AIinHealthcare #Radiology #MachineLearning #Ultrasound #DigitalHealth #QualityControl

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Aum6XnKxuffpCxOrKEjsWuMw3ZHOo", "object": "chat.completion", "created": 1738094645, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing the power of large language models (LLMs) like Claude 3.5 Sonnet and GPT-4o, a recent study reveals their potential in enhancing the accuracy of Chinese ultrasound reports. Analyzing 400 reports, the LLMs outperformed human radiologists in error detection rates, achieving 52.3% and 41.2% in zero-shot settings, respectively. Notably, they processed reports significantly faster, with Claude completing tasks in just 13.2 seconds per report. This research underscores the transformative role of AI in healthcare, promising improved diagnostic accuracy and efficiency. nn#HealthcareIT #AIinHealthcare #Radiology #MachineLearning #Ultrasound #DigitalHealth #QualityControl", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 28540, "completion_tokens": 147, "total_tokens": 28687, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 28540
Completion Tokens - 147
Total Tokens - 28687

 

Grey Matter Neurosciences secures $14M for Alzheimer’s Disease

MobiHealthNews - (Tuesday January 28, 2025) - Frequent Updates/ MobiHealthNews

Neurotechnology company, Grey Matter Neurosciences, announced it secured $14 million in seed financing, which will be used to develop an ultrasound headset for individuals with Alzheimer's disease and test that device in clinical trials.The...

Exciting advancements in Alzheimer's treatment! Grey Matter Neurosciences has secured $14M in seed funding to develop a groundbreaking ultrasound headset aimed at enhancing cognitive function in Alzheimer's patients. This innovative technology, based on transcranial focused ultrasound, promises to revolutionize brain treatment by targeting memory and learning centers. With clinical trials on the horizon, the potential for improving cognitive performance is immense. As the healthcare IT landscape evolves, partnerships and innovations like these are crucial for tackling dementia challenges.#HealthcareIT #Neurotechnology #Alzheimers #Innovation #ClinicalTrials #CognitiveHealth #MedTech

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AumQ7z8HGXqGJAgMWAuRr9hOsu23x", "object": "chat.completion", "created": 1738095859, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in Alzheimer's treatment! Grey Matter Neurosciences has secured $14M in seed funding to develop a groundbreaking ultrasound headset aimed at enhancing cognitive function in Alzheimer's patients. This innovative technology, based on transcranial focused ultrasound, promises to revolutionize brain treatment by targeting memory and learning centers. With clinical trials on the horizon, the potential for improving cognitive performance is immense. As the healthcare IT landscape evolves, partnerships and innovations like these are crucial for tackling dementia challenges. nn#HealthcareIT #Neurotechnology #Alzheimers #Innovation #ClinicalTrials #CognitiveHealth #MedTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 877, "completion_tokens": 121, "total_tokens": 998, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 877
Completion Tokens - 121
Total Tokens - 998

 

Developing the Skills to Write for Publication – Mayo Clinic Platform

Digital Health Frontier - (Tuesday January 28, 2025) - Daily Reads/ Digital Health Frontier

A well-reasoned, coherent thesis is not enough to convince editorial gatekeepers to accept your article. Consider these additional suggestions.By Paul Cerrato, MA, senior research analyst and communications specialist, Mayo Clinic Platform, and John Halamka,...

Effective writing is crucial for healthcare professionals aiming to publish their work. A well-structured thesis alone won't suffice; understanding your audience and the publication's guidelines is essential. As Frank Bruni notes, writing is a process of refining thoughts into clear, persuasive language. Clarity is paramount, as writers often misjudge their own work's comprehensibility. Anticipating critiques from editors and peers can enhance the quality of your submission. By honing your writing skills, you can significantly impact the lives of others through your published work. #HealthcareIT #MedicalWriting #PublicationSkills #Research #WritingTips #HealthcareInnovation #ThoughtLeadership

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AulnAaxbMIrhppsodOnq489Uu5Qeu", "object": "chat.completion", "created": 1738093444, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Effective writing is crucial for healthcare professionals aiming to publish their work. A well-structured thesis alone won't suffice; understanding your audience and the publication's guidelines is essential. As Frank Bruni notes, writing is a process of refining thoughts into clear, persuasive language. Clarity is paramount, as writers often misjudge their own work's comprehensibility. Anticipating critiques from editors and peers can enhance the quality of your submission. By honing your writing skills, you can significantly impact the lives of others through your published work. #HealthcareIT #MedicalWriting #PublicationSkills #Research #WritingTips #HealthcareInnovation #ThoughtLeadership", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1321, "completion_tokens": 126, "total_tokens": 1447, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 1321
Completion Tokens - 126
Total Tokens - 1447

 

Use a military approach to get C-suite buy-in for AI, says one physician

Healthcare IT news - (Tuesday January 28, 2025) - AI/ Frequent Updates/ Healthcare IT News

Artificial intelligence, to name just one key use case, can help transform healthcare provider organizations' value-based care journeys by enhancing quality performance and risk adjustment accuracy – ultimately driving better health and financial outcomes. If...

Unlocking C-suite buy-in for AI in healthcare is crucial for driving value-based care. Dr. Michael S. Barr emphasizes using the military-inspired SBAR framework—Situation, Background, Assessment, Recommendation—to effectively communicate the ROI of AI investments. Addressing common executive concerns about data quality, clinician adoption, and financial returns is essential. By presenting a clear, data-driven case, healthcare IT professionals can instill confidence in AI's potential to enhance quality performance and risk adjustment accuracy. Embrace this structured approach to bridge the gap between innovation and executive skepticism.#HealthcareIT #AIinHealthcare #ValueBasedCare #CLevel #DigitalHealth #HealthTech #ROI

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AukENyFwFFeulQCVeEcnXQUkAkmMP", "object": "chat.completion", "created": 1738087443, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking C-suite buy-in for AI in healthcare is crucial for driving value-based care. Dr. Michael S. Barr emphasizes using the military-inspired SBAR framework—Situation, Background, Assessment, Recommendation—to effectively communicate the ROI of AI investments. Addressing common executive concerns about data quality, clinician adoption, and financial returns is essential. By presenting a clear, data-driven case, healthcare IT professionals can instill confidence in AI's potential to enhance quality performance and risk adjustment accuracy. Embrace this structured approach to bridge the gap between innovation and executive skepticism. nn#HealthcareIT #AIinHealthcare #ValueBasedCare #CLevel #DigitalHealth #HealthTech #ROI", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1943, "completion_tokens": 135, "total_tokens": 2078, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_72ed7ab54c" }

Prompt Tokens - 1943
Completion Tokens - 135
Total Tokens - 2078

 

I am an experienced healthcare executive with over 15 years of deep clinical and informatics expertise in the design, development, implementation and support of complex healthcare solutions. Beginning my career as a cardiologist, I understand the needs of clinicians and the nature of their work.