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Allurion Technologies launches AI-native GLP-1 program for weight loss in the U.S.

MobiHealthNews - (Monday November 25, 2024) - Frequent Updates/ MobiHealthNews

Allurion Technologies, a weight-loss platform, launched AllurionMeds to give patients GLP-1 medications for weight loss combined with its AI-enabled Coach Iris platform.The company aims to advance long-term weight maintenance through virtual access to dieticians...

Allurion Technologies has launched its AI-native GLP-1 program, AllurionMeds, aimed at enhancing weight loss management in the U.S. This innovative platform combines GLP-1 medications with the AI-enabled Coach Iris, providing virtual access to dieticians and a smart scale that tracks weight, muscle, and bone mass. The program addresses common patient concerns, particularly weight regain, ensuring safety and efficacy through FDA-registered sources. With the rise of GLP-1 services across various companies, Allurion’s approach emphasizes the importance of affordable medications and AI-driven behavior change to support long-term weight maintenance. #HealthcareIT #DigitalHealth #WeightLoss #AI #GLP1 #Telehealth #HealthTech

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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Prompt Tokens - 659
Completion Tokens - 143
Total Tokens - 802

 

AI and Automation Can Help Ease Stress in Laboratory Testing

HealthTech Magazine - (Monday November 25, 2024) - Frequent Updates/ HealthTech Magazine

Finding a Path Forward with Automation and AIMany repetitive tasks are performed before sample analysis occurs, such as checking in patient samples, labeling, removing caps from test tubes and sorting samples for specific analyzers....

In the face of rising test demands and staffing shortages, laboratories are increasingly turning to AI and automation to alleviate stress and enhance patient care. A recent survey reveals that 39% of lab professionals cite limited staffing as a top challenge, with many expressing optimism about AI's potential to streamline operations. Automation can significantly reduce human error and free up time for critical tasks, allowing lab scientists to focus on quality control and patient outcomes. Embracing these technologies is essential for fostering a sustainable laboratory environment that prioritizes high-quality patient care. #HealthcareIT #AI #Automation #LaboratoryTesting #PatientCare #HealthTech #DigitalTransformation

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-AXwlo88Iw5uLY1tyPKwPFlUHKxKxj", "object": "chat.completion", "created": 1732654100, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the face of rising test demands and staffing shortages, laboratories are increasingly turning to AI and automation to alleviate stress and enhance patient care. A recent survey reveals that 39% of lab professionals cite limited staffing as a top challenge, with many expressing optimism about AI's potential to streamline operations. Automation can significantly reduce human error and free up time for critical tasks, allowing lab scientists to focus on quality control and patient outcomes. Embracing these technologies is essential for fostering a sustainable laboratory environment that prioritizes high-quality patient care. #HealthcareIT #AI #Automation #LaboratoryTesting #PatientCare #HealthTech #DigitalTransformation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 5591, "completion_tokens": 125, "total_tokens": 5716, "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_3de1288069" }

Prompt Tokens - 5591
Completion Tokens - 125
Total Tokens - 5716

 

VA Award Medtronic Contract to Deploy AI-Powered Endoscopy Units Nationwide

HIT Consultant - (Monday November 25, 2024) - AI/ Digital Health/ Frequent Updates/ HIT Consultant

What You Should Know: – Medtronic today  announced that the U.S. Department of Veterans Affairs (VA) has awarded a three-year contract for the deployment of nearly 100 additional GI Genius™ AI-powered endoscopy units across VA...

Exciting news in healthcare technology! The U.S. Department of Veterans Affairs has awarded Medtronic a three-year contract to deploy nearly 100 GI Genius™ AI-powered endoscopy units across VA medical centers. This initiative aims to enhance colorectal cancer screening for veterans, a critical area given the 250,000 colonoscopies performed annually. With AI assistance, the GI Genius™ unit can reduce missed polyps by up to 50%, improving detection and patient outcomes. This partnership not only advances technology but also sets a new standard in care for those who have served our nation.#HealthTech #AIinHealthcare #ColorectalCancer #VeteransHealth #MedTech #PatientCare #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AXeXFtGozfn1XSqytXv4f5ZRfrmmQ", "object": "chat.completion", "created": 1732584005, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare technology! The U.S. Department of Veterans Affairs has awarded Medtronic a three-year contract to deploy nearly 100 GI Genius™ AI-powered endoscopy units across VA medical centers. This initiative aims to enhance colorectal cancer screening for veterans, a critical area given the 250,000 colonoscopies performed annually. With AI assistance, the GI Genius™ unit can reduce missed polyps by up to 50%, improving detection and patient outcomes. This partnership not only advances technology but also sets a new standard in care for those who have served our nation. nn#HealthTech #AIinHealthcare #ColorectalCancer #VeteransHealth #MedTech #PatientCare #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 624, "completion_tokens": 141, "total_tokens": 765, "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_3de1288069" }

Prompt Tokens - 624
Completion Tokens - 141
Total Tokens - 765

 

Artificial Intelligence awarded two Nobel Prizes for innovations that will shape the future of medicine

npj Digital Medicine - (Monday November 25, 2024) - AI/ Frequent Updates/ npj Digital Medicine

John J. Hopfield and Geoffrey E. Hinton were awarded the 2024 Nobel Prize in Physics for developing machine learning technology using artificial neural networks. In Chemistry it was awarded to Demis Hassabis and John...

Artificial Intelligence has made a monumental impact on medicine, recently earning two Nobel Prizes. John J. Hopfield and Geoffrey E. Hinton received the Physics prize for their foundational work in machine learning, while Demis Hassabis and John M. Jumper were honored in Chemistry for developing AlphaFold2, a groundbreaking AI tool for protein structure prediction. These advancements not only revolutionize scientific research but also raise ethical concerns regarding AI's role in healthcare. As we embrace AI's potential, we must remain vigilant about its implications for society and patient care.#AIinHealthcare #NobelPrize #MachineLearning #DigitalHealth #EthicsInAI #FutureOfMedicine #HealthTech

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AXX31kpdSTSTrzMycfhNtLMVgxSTS", "object": "chat.completion", "created": 1732555223, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Artificial Intelligence has made a monumental impact on medicine, recently earning two Nobel Prizes. John J. Hopfield and Geoffrey E. Hinton received the Physics prize for their foundational work in machine learning, while Demis Hassabis and John M. Jumper were honored in Chemistry for developing AlphaFold2, a groundbreaking AI tool for protein structure prediction. These advancements not only revolutionize scientific research but also raise ethical concerns regarding AI's role in healthcare. As we embrace AI's potential, we must remain vigilant about its implications for society and patient care. nn#AIinHealthcare #NobelPrize #MachineLearning #DigitalHealth #EthicsInAI #FutureOfMedicine #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 18581, "completion_tokens": 137, "total_tokens": 18718, "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_3de1288069" }

Prompt Tokens - 18581
Completion Tokens - 137
Total Tokens - 18718

 

Siemens Healthineers and Ohio State Wexner Medical Center Forge $105M Value Partnership

HIT Consultant - (Monday November 25, 2024) - AI/ Digital Health/ Frequent Updates/ HIT Consultant

What You Should Know: – Siemens Healthineers and The Ohio State Wexner Medical Center have expanded their long-standing collaboration to establish a 10-year, $105M Value Partnership. – The strategic alliance aims to drive innovation in medical...

Exciting times in healthcare innovation! Siemens Healthineers and Ohio State Wexner Medical Center have launched a transformative 10-year, $105M Value Partnership. This collaboration aims to revolutionize medical imaging and leverage AI and machine learning to enhance patient care and outcomes. Key initiatives include advancements in diagnostic imaging, expanding access to underserved populations, and establishing a new center for imaging excellence. Together, these organizations are poised to tackle medical challenges and adapt therapies in real time, ultimately benefiting patients both locally and globally.#HealthcareInnovation #MedicalImaging #AIinHealthcare #PatientCare #Collaboration #HealthTech #ValueBasedCare

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-AXcjAdzSkDOOrCqoH7SpFTfcYen5b", "object": "chat.completion", "created": 1732577056, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting times in healthcare innovation! Siemens Healthineers and Ohio State Wexner Medical Center have launched a transformative 10-year, $105M Value Partnership. This collaboration aims to revolutionize medical imaging and leverage AI and machine learning to enhance patient care and outcomes. Key initiatives include advancements in diagnostic imaging, expanding access to underserved populations, and establishing a new center for imaging excellence. Together, these organizations are poised to tackle medical challenges and adapt therapies in real time, ultimately benefiting patients both locally and globally. nn#HealthcareInnovation #MedicalImaging #AIinHealthcare #PatientCare #Collaboration #HealthTech #ValueBasedCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 534, "completion_tokens": 127, "total_tokens": 661, "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_3de1288069" }

Prompt Tokens - 534
Completion Tokens - 127
Total Tokens - 661

 

Optimizing Medication Journey from Prescribing to Adherence to Improved Outcomes – HITT Podcast #154

Healthcare IT Today - (Monday November 25, 2024) - Healthcare IT Today/ Videos

The 154th episode of the Healthcare IT Today Podcast is sponsored by DrFirst, and this time we are talking about optimizing the medication journey from prescribing to adherence to improved outcomes with special guest...

In the latest Healthcare IT Today Podcast episode, we explore the critical journey of medication management, from prescribing to adherence, with insights from Dr. Colin Banas of DrFirst. Key discussions include the challenges of build vs. buy for regulatory compliance, the impact of specialty medications and prior authorizations, and the importance of patient engagement in addressing population health gaps. We also highlight what EHR and Health IT vendors should prioritize to enhance medication management. Join the conversation on optimizing healthcare outcomes through effective medication strategies!#HealthcareIT #MedicationManagement #EHR #PatientEngagement #HealthTech #DigitalHealth #PharmacyTech

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-AXZroQmseSmQ1uOlMsQTFhR9gCdZf", "object": "chat.completion", "created": 1732566060, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the latest Healthcare IT Today Podcast episode, we explore the critical journey of medication management, from prescribing to adherence, with insights from Dr. Colin Banas of DrFirst. Key discussions include the challenges of build vs. buy for regulatory compliance, the impact of specialty medications and prior authorizations, and the importance of patient engagement in addressing population health gaps. We also highlight what EHR and Health IT vendors should prioritize to enhance medication management. Join the conversation on optimizing healthcare outcomes through effective medication strategies! nn#HealthcareIT #MedicationManagement #EHR #PatientEngagement #HealthTech #DigitalHealth #PharmacyTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 410, "completion_tokens": 124, "total_tokens": 534, "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_3de1288069" }

Prompt Tokens - 410
Completion Tokens - 124
Total Tokens - 534

 

Yale study shows how AI bias worsens healthcare disparities

Healthcare IT news - (Monday November 25, 2024) - AI/ Frequent Updates/ Healthcare IT News

A new research report from Yale School of Medicine offers an up-close look at how biased artificial intelligence can affect clinical outcomes. The study focuses specifically on the different stages of AI model development,...

A recent Yale study highlights the critical impact of AI bias on healthcare disparities. By examining each stage of AI model development, researchers reveal how data integrity issues can compromise health equity and care quality. The phrase "bias in; bias out" underscores the need for rigorous validation and diverse data sets to mitigate bias effectively. As AI becomes integral to clinical decision-making, understanding the implications of bias is essential for equitable patient outcomes. Addressing these challenges will be vital for the future of medical AI.#HealthcareIT #ArtificialIntelligence #HealthEquity #DataIntegrity #BiasMitigation #ClinicalOutcomes #HealthTech

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AXXfWxIY7RD0bsUr5VblOZyUdlLnG", "object": "chat.completion", "created": 1732557610, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A recent Yale study highlights the critical impact of AI bias on healthcare disparities. By examining each stage of AI model development, researchers reveal how data integrity issues can compromise health equity and care quality. The phrase "bias in; bias out" underscores the need for rigorous validation and diverse data sets to mitigate bias effectively. As AI becomes integral to clinical decision-making, understanding the implications of bias is essential for equitable patient outcomes. Addressing these challenges will be vital for the future of medical AI. nn#HealthcareIT #ArtificialIntelligence #HealthEquity #DataIntegrity #BiasMitigation #ClinicalOutcomes #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 942, "completion_tokens": 123, "total_tokens": 1065, "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_3de1288069" }

Prompt Tokens - 942
Completion Tokens - 123
Total Tokens - 1065

 

Cofactor AI Launches Platform to Help Hospitals Fight Tidal Wave of Claims Denials and Announces $4 Million Seed Round

HIT Consultant - (Monday November 25, 2024) - Digital Health/ Frequent Updates/ HIT Consultant

 What You Should Know:– Hospitals across the country are facing an ever-increasing onslaught of claims denials from insurance companies, with denials up 20.2% in 2023, according to the American Hospital Association. These denials – triggered...

Cofactor AI has launched its groundbreaking AI-powered platform, the Cofactor Denial Suite, to combat the rising tide of claims denials, which surged by 20.2% in 2023, costing hospitals $20 billion annually. This innovative solution integrates with EHR systems, automating the appeal process and significantly reducing the administrative burden. By streamlining claims management, the platform not only enhances operational efficiency but also safeguards patients from unexpected costs, ultimately improving access to care. As the healthcare landscape evolves, Cofactor AI is positioned to transform revenue cycle management and support sustainable healthcare delivery.#HealthcareIT #ClaimsDenials #RevenueCycleManagement #AIinHealthcare #PatientCare #HealthcareInnovation #OperationalEfficiency

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-AXVnYaE0ChNIAbE0n2FMzLeCiYXzC", "object": "chat.completion", "created": 1732550420, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Cofactor AI has launched its groundbreaking AI-powered platform, the Cofactor Denial Suite, to combat the rising tide of claims denials, which surged by 20.2% in 2023, costing hospitals $20 billion annually. This innovative solution integrates with EHR systems, automating the appeal process and significantly reducing the administrative burden. By streamlining claims management, the platform not only enhances operational efficiency but also safeguards patients from unexpected costs, ultimately improving access to care. As the healthcare landscape evolves, Cofactor AI is positioned to transform revenue cycle management and support sustainable healthcare delivery. nn#HealthcareIT #ClaimsDenials #RevenueCycleManagement #AIinHealthcare #PatientCare #HealthcareInnovation #OperationalEfficiency", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 740, "completion_tokens": 144, "total_tokens": 884, "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_3de1288069" }

Prompt Tokens - 740
Completion Tokens - 144
Total Tokens - 884

 

Trusts using FDP treat 114 more patients a month on average

Digital Health - (Monday November 25, 2024) - Digital Health/ Frequent Updates

Hospital trusts using the NHS federated data platform (FDP) have each treated on average 114 more inpatients in theatres every month since introducing the tool, according to NHS England. Data published on 22 November 2024...

Exciting advancements in healthcare data utilization! Since adopting the NHS Federated Data Platform (FDP), trusts are treating an average of 114 more patients monthly, enhancing operational efficiency and patient care. With 87 NHS acute trusts and 28 integrated care boards on board, the FDP is streamlining access to vital data, reducing hospital stays by 37%, and improving discharge processes. As we embrace technology like Palantir, the potential for transformative change in patient care is immense, despite ongoing discussions around ethics and transparency.#HealthcareIT #DataAnalytics #PatientCare #NHS #DigitalHealth #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AXVQ5qMxKev4xmcvSluFzOToR98ef", "object": "chat.completion", "created": 1732548965, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare data utilization! Since adopting the NHS Federated Data Platform (FDP), trusts are treating an average of 114 more patients monthly, enhancing operational efficiency and patient care. With 87 NHS acute trusts and 28 integrated care boards on board, the FDP is streamlining access to vital data, reducing hospital stays by 37%, and improving discharge processes. As we embrace technology like Palantir, the potential for transformative change in patient care is immense, despite ongoing discussions around ethics and transparency. nn#HealthcareIT #DataAnalytics #PatientCare #NHS #DigitalHealth #HealthTech #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 771, "completion_tokens": 125, "total_tokens": 896, "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_3de1288069" }

Prompt Tokens - 771
Completion Tokens - 125
Total Tokens - 896

 

Patchwork Health Acquires L2P to Create Healthcare Workforce Leader – DigitalHealth.London

DigitalHealth.London - (Monday November 25, 2024) - Daily Reads/ DigitalHealth.London

Dr Anas Nader, Co-Founder and CEO of Patchwork Health, a DigitalHealth.London Accelerator alumnus company, discusses his company’s acquisition of L2P Enterprise Ltd and their continued commitment to making flexible and sustainable staffing a reality.Earlier...

Exciting times at Patchwork Health! We've acquired L2P Enterprise Ltd, enhancing our mission to provide flexible and sustainable staffing solutions for healthcare organizations. This partnership expands our network to support over 100,000 clinicians across 200+ NHS and private organizations, integrating L2P’s leading appraisal and job planning tools. Together, we aim to revolutionize workforce management, streamline operations, and improve patient care. With our combined innovative solutions, we’re set to unlock critical data, reduce costs, and enhance productivity in healthcare.#HealthcareIT #DigitalHealth #WorkforceManagement #HealthTech #Innovation #NHS #SustainableStaffing

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-AYTEUg4xZslgfOC4msJTTqC0gZ3mh", "object": "chat.completion", "created": 1732778886, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting times at Patchwork Health! We've acquired L2P Enterprise Ltd, enhancing our mission to provide flexible and sustainable staffing solutions for healthcare organizations. This partnership expands our network to support over 100,000 clinicians across 200+ NHS and private organizations, integrating L2P’s leading appraisal and job planning tools. Together, we aim to revolutionize workforce management, streamline operations, and improve patient care. With our combined innovative solutions, we’re set to unlock critical data, reduce costs, and enhance productivity in healthcare. nn#HealthcareIT #DigitalHealth #WorkforceManagement #HealthTech #Innovation #NHS #SustainableStaffing", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 974, "completion_tokens": 129, "total_tokens": 1103, "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_3de1288069" }

Prompt Tokens - 974
Completion Tokens - 129
Total Tokens - 1103

 

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.