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Kent Community Health NHS FT trials AI note-taking technology

Digital Health - (Wednesday January 29, 2025) - AI/ Digital Health/ Frequent Updates

Members of the community paediatrics team at Kent Community Health Foundation Trust. Left to right: Mandy Ryan, Samantha Fitzpatrick, Jez Michaels, Lynn Topley, Kate Foggon, Janine Armstrong,  Sunil Bhide and Safeer Ibra Lebbe (Credit:...

Kent Community Health NHS Foundation Trust is piloting AI note-taking technology from TORTUS to enhance pediatric consultations. This three-month trial aims to reduce administrative burdens, allowing clinicians to focus more on patient care. The AI assistant will navigate challenges like background noise and diverse accents, ensuring accurate documentation while maintaining clinician oversight. Independent evaluations will assess its impact across various health settings. As Dr. Dominic Pimenta states, this initiative is crucial for alleviating healthcare pressures and improving experiences for both clinicians and patients.#HealthTech #AIinHealthcare #DigitalHealth #PatientCare #Innovation #HealthcareIT #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Auzu2q2VfGtc728pztT5keAxUm3CA", "object": "chat.completion", "created": 1738147686, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Kent Community Health NHS Foundation Trust is piloting AI note-taking technology from TORTUS to enhance pediatric consultations. This three-month trial aims to reduce administrative burdens, allowing clinicians to focus more on patient care. The AI assistant will navigate challenges like background noise and diverse accents, ensuring accurate documentation while maintaining clinician oversight. Independent evaluations will assess its impact across various health settings. As Dr. Dominic Pimenta states, this initiative is crucial for alleviating healthcare pressures and improving experiences for both clinicians and patients. nn#HealthTech #AIinHealthcare #DigitalHealth #PatientCare #Innovation #HealthcareIT #NHS", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 823, "completion_tokens": 121, "total_tokens": 944, "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 - 823
Completion Tokens - 121
Total Tokens - 944

 

GE HealthCare, UCSF Partner for Precision Medicine

DistilINFO Hospital IT - (Wednesday January 29, 2025) - Daily Reads/ DistilINFO Hospital IT

Revolutionary Healthcare Partnership Announced GE HealthCare Technologies Inc. and the University of California San Francisco’s Department of Radiology and Biomedical Imaging have joined forces in a landmark partnership focusing on advanced imaging and precision oncology...

Exciting advancements in healthcare are on the horizon! GE HealthCare and UCSF have launched a groundbreaking partnership focused on precision medicine and advanced imaging technologies. Their Care Innovation Hub aims to enhance hospital operations and accessibility through cutting-edge solutions in oncology and brain health. Key initiatives include developing automated imaging services and conducting vital research on Alzheimer’s disease and vascular health. This collaboration builds on prior successes, including the revolutionary Critical Care Suite. Together, they are set to transform patient care and clinical outcomes with AI-driven innovations.#HealthcareIT #PrecisionMedicine #AIinHealthcare #MedicalImaging #Innovation #HealthTech #PatientCare

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-AuwqcJeSGX4KI28QUS34EaUgkttYO", "object": "chat.completion", "created": 1738135942, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare are on the horizon! GE HealthCare and UCSF have launched a groundbreaking partnership focused on precision medicine and advanced imaging technologies. Their Care Innovation Hub aims to enhance hospital operations and accessibility through cutting-edge solutions in oncology and brain health. Key initiatives include developing automated imaging services and conducting vital research on Alzheimer’s disease and vascular health. This collaboration builds on prior successes, including the revolutionary Critical Care Suite. Together, they are set to transform patient care and clinical outcomes with AI-driven innovations. nn#HealthcareIT #PrecisionMedicine #AIinHealthcare #MedicalImaging #Innovation #HealthTech #PatientCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 548, "completion_tokens": 125, "total_tokens": 673, "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 - 548
Completion Tokens - 125
Total Tokens - 673

 

AI Revolutionizes HER2 Cancer Treatment Prediction Methods

DistilINFO Hospital IT - (Wednesday January 29, 2025) - Daily Reads/ DistilINFO Hospital IT

Groundbreaking AI Study Transforms Cancer Diagnostics Lunit, in partnership with Japan’s National Cancer Center Hospital East (NCCHE), has published breakthrough research in the Journal of Clinical Oncology Precision Oncology. Their study demonstrates how AI-powered pathology...

Exciting advancements in cancer diagnostics are here! A groundbreaking study by Lunit and Japan's NCCHE reveals that AI-powered pathology solutions dramatically enhance HER2 biomarker evaluation and predictions for metastatic colorectal cancer patients. With an impressive 86.7% accuracy in HER2 assessments, Lunit's AI tools significantly improve clinical outcomes, showing a 42.1% objective response rate and extended overall survival. This innovation marks a pivotal shift in precision oncology, enabling better patient stratification and treatment strategies. As we embrace AI in healthcare, the future of cancer treatment looks promising! #HealthcareIT #AIinHealthcare #PrecisionOncology #CancerResearch #DigitalHealth #Biomarkers #Pathology

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-AuwmlBXMj90GezYFmSWAidsNQqnbR", "object": "chat.completion", "created": 1738135703, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in cancer diagnostics are here! A groundbreaking study by Lunit and Japan's NCCHE reveals that AI-powered pathology solutions dramatically enhance HER2 biomarker evaluation and predictions for metastatic colorectal cancer patients. With an impressive 86.7% accuracy in HER2 assessments, Lunit's AI tools significantly improve clinical outcomes, showing a 42.1% objective response rate and extended overall survival. This innovation marks a pivotal shift in precision oncology, enabling better patient stratification and treatment strategies. As we embrace AI in healthcare, the future of cancer treatment looks promising! #HealthcareIT #AIinHealthcare #PrecisionOncology #CancerResearch #DigitalHealth #Biomarkers #Pathology", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 635, "completion_tokens": 139, "total_tokens": 774, "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 - 635
Completion Tokens - 139
Total Tokens - 774

 

Data Ethics Guidelines Reshape Research Standards

DistilINFO Hospital IT - (Wednesday January 29, 2025) - Daily Reads/ DistilINFO Hospital IT

Understanding Pervasive Data Research PRIM&R (Public Responsibility in Medicine and Research) has taken a decisive step toward establishing ethical guidelines for pervasive data research through their recent submission to the National Telecommunications and Information Administration...

PRIM&R's recent submission to the NTIA marks a pivotal moment in establishing ethical guidelines for pervasive data research. By defining digital footprints that encompass a wide range of personal information, this initiative aims to enhance existing ethical frameworks like the Belmont Report while safeguarding privacy. With support from recent legislation and a collaborative approach involving various stakeholders, these guidelines seek to mitigate risks such as discrimination and bias, ensuring public trust in research. As healthcare IT professionals, we must stay informed and engaged with these evolving standards.#DataEthics #HealthcareIT #PrivacyProtection #ResearchStandards #AI #DigitalFootprints #PublicTrust

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-AuzDQl42znu7W1k0HWuvZtNGYC1F8", "object": "chat.completion", "created": 1738145044, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "PRIM&R's recent submission to the NTIA marks a pivotal moment in establishing ethical guidelines for pervasive data research. By defining digital footprints that encompass a wide range of personal information, this initiative aims to enhance existing ethical frameworks like the Belmont Report while safeguarding privacy. With support from recent legislation and a collaborative approach involving various stakeholders, these guidelines seek to mitigate risks such as discrimination and bias, ensuring public trust in research. As healthcare IT professionals, we must stay informed and engaged with these evolving standards. nn#DataEthics #HealthcareIT #PrivacyProtection #ResearchStandards #AI #DigitalFootprints #PublicTrust", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 618, "completion_tokens": 124, "total_tokens": 742, "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 - 618
Completion Tokens - 124
Total Tokens - 742

 

Harnessing AI and LLMs to Accelerate Biomedical Discovery for Precision Medicine

HIT Consultant - (Wednesday January 29, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant

Dr. Rakesh Nagarajan is the Chief Medical Officer at VelseraThe healthcare industry is experiencing a data and technological revolution that is accelerating drug discovery and delivery to patients. Over the past 15 years, we’ve...

The healthcare sector is witnessing a transformative era driven by AI and large language models (LLMs), accelerating drug discovery and enhancing precision medicine. Despite advancements, challenges remain, such as integrating diverse data sources and ensuring data quality. Effective use of AI can identify drug targets and streamline research, but the human touch is essential for interpreting findings and maintaining patient care standards. By merging technology with expertise, we can expedite breakthroughs in treatment and improve patient outcomes. The future of precision medicine is bright, but collaboration is key.#HealthcareIT #PrecisionMedicine #AIinHealthcare #DrugDiscovery #HealthTech #DataIntegration #ClinicalResearch

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-AuwivoPss96sMSRue0kvD1SPBt9RR", "object": "chat.completion", "created": 1738135465, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The healthcare sector is witnessing a transformative era driven by AI and large language models (LLMs), accelerating drug discovery and enhancing precision medicine. Despite advancements, challenges remain, such as integrating diverse data sources and ensuring data quality. Effective use of AI can identify drug targets and streamline research, but the human touch is essential for interpreting findings and maintaining patient care standards. By merging technology with expertise, we can expedite breakthroughs in treatment and improve patient outcomes. The future of precision medicine is bright, but collaboration is key. nn#HealthcareIT #PrecisionMedicine #AIinHealthcare #DrugDiscovery #HealthTech #DataIntegration #ClinicalResearch", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1668, "completion_tokens": 125, "total_tokens": 1793, "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 - 1668
Completion Tokens - 125
Total Tokens - 1793

 

EHR Governance Services and Software 2024

KLAS Research - (Wednesday January 29, 2025) - Daily Reads/ KLAS Research

KLAS Arch Collaborative Report EHR Governance 2024 - Peer Guidance, Shared Ownership and Governance...

EHR governance is crucial for enhancing clinician experiences, yet only 51% of healthcare professionals feel their organizations excel in EHR implementation and support. This stagnation highlights the need for effective governance strategies. The recent KLAS Arch Collaborative report identifies vendor and service offerings that can significantly improve EHR governance processes. Key strategies include establishing governance structures, managing change effectively, and enhancing interoperability. By leveraging these insights, healthcare organizations can optimize their EHR systems and ultimately improve patient care.#EHR #HealthTech #Governance #HealthcareIT #ClinicalExcellence #Interoperability #PatientCare

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-AutbPHwWktYK32ui4chcUAKeROBaU", "object": "chat.completion", "created": 1738123467, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "EHR governance is crucial for enhancing clinician experiences, yet only 51% of healthcare professionals feel their organizations excel in EHR implementation and support. This stagnation highlights the need for effective governance strategies. The recent KLAS Arch Collaborative report identifies vendor and service offerings that can significantly improve EHR governance processes. Key strategies include establishing governance structures, managing change effectively, and enhancing interoperability. By leveraging these insights, healthcare organizations can optimize their EHR systems and ultimately improve patient care. nn#EHR #HealthTech #Governance #HealthcareIT #ClinicalExcellence #Interoperability #PatientCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 54126, "completion_tokens": 120, "total_tokens": 54246, "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 - 54126
Completion Tokens - 120
Total Tokens - 54246

 

Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma

npj Digital Medicine - (Wednesday January 29, 2025) - Frequent Updates/ npj Digital Medicine

Existing prognostic models are useful for estimating the prognosis of lung adenocarcinoma patients, but there remains room for improvement. In the current study, we developed a deep learning model based on histopathological images to...

Harnessing the power of deep learning, a new model developed from whole slide images enhances prognosis and therapeutic response evaluation in lung adenocarcinoma. This innovative approach successfully stratifies patients into high- and low-risk groups, significantly improving disease-free survival predictions. By integrating this model with traditional TNM staging, clinicians can better identify patients who may benefit from adjuvant chemotherapy, optimizing treatment strategies. This research underscores the transformative potential of digital pathology in personalizing cancer care.#HealthcareIT #DeepLearning #DigitalPathology #CancerResearch #LungCancer #AIinHealthcare #PrecisionMedicine

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-Autb2PkSV0w4rAE1H9lh4bQnDj1Re", "object": "chat.completion", "created": 1738123444, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing the power of deep learning, a new model developed from whole slide images enhances prognosis and therapeutic response evaluation in lung adenocarcinoma. This innovative approach successfully stratifies patients into high- and low-risk groups, significantly improving disease-free survival predictions. By integrating this model with traditional TNM staging, clinicians can better identify patients who may benefit from adjuvant chemotherapy, optimizing treatment strategies. This research underscores the transformative potential of digital pathology in personalizing cancer care. nn#HealthcareIT #DeepLearning #DigitalPathology #CancerResearch #LungCancer #AIinHealthcare #PrecisionMedicine", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25419, "completion_tokens": 120, "total_tokens": 25539, "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 - 25419
Completion Tokens - 120
Total Tokens - 25539

 

Owlet launches Owlet360 subscription service for infant health insights

MobiHealthNews - (Wednesday January 29, 2025) - Frequent Updates/ MobiHealthNews

Baby tech company Owlet has announced the launch of Owlet360, a subscription service where caregivers can access their infant's health and sleep data on the baby's development and health.Owlet360 will provide analysis of a...

Owlet has unveiled Owlet360, a subscription service providing caregivers with in-depth insights into their infants' health and sleep data. This innovative service offers personalized analysis, comparing a baby's metrics against a vast dataset, and includes features like live vital monitoring and real-time alerts—free for all users. Priced at $5.99 monthly after a seven-day trial, Owlet360 aims to set a new standard in parenting support. CEO Kurt Workman emphasizes its transformative impact on the industry. As Owlet continues to expand its offerings, the integration of technology in infant care is becoming more vital than ever. #HealthcareIT #InfantHealth #Telehealth #WearableTech #HealthData #ParentingSupport #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-AuoQ6FbbVfATeHHLKZiGDZWLrNgD9", "object": "chat.completion", "created": 1738103546, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Owlet has unveiled Owlet360, a subscription service providing caregivers with in-depth insights into their infants' health and sleep data. This innovative service offers personalized analysis, comparing a baby's metrics against a vast dataset, and includes features like live vital monitoring and real-time alerts—free for all users. Priced at $5.99 monthly after a seven-day trial, Owlet360 aims to set a new standard in parenting support. CEO Kurt Workman emphasizes its transformative impact on the industry. As Owlet continues to expand its offerings, the integration of technology in infant care is becoming more vital than ever. #HealthcareIT #InfantHealth #Telehealth #WearableTech #HealthData #ParentingSupport #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 706, "completion_tokens": 146, "total_tokens": 852, "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 - 706
Completion Tokens - 146
Total Tokens - 852

 

News 1/29/25 – HIStalk

HIStalk - (Wednesday January 29, 2025) - Daily Reads/ HIStalk

Top NewsAI-powered cancer drug discovery startup Manas AI launches with a $25 million seed funding round. The co-founders are LinkedIn co-founder and venture capitalist Reid Hoffman and oncologist-author Siddhartha Mukherjee, DPhil, MD, who wrote Pulitzer...

Exciting developments in healthcare IT are shaping the future! Manas AI, co-founded by Reid Hoffman and Siddhartha Mukherjee, has launched with $25M in seed funding to revolutionize cancer drug discovery. Meanwhile, UMass Memorial Health is enhancing patient care with a new Digital Hub for remote monitoring and patient flow. The acquisition of Yoomi Health by Raintree Systems signals growth in therapy-focused IT solutions. As we navigate these changes, a focus on AI's role in productivity and healthcare delivery remains crucial.#HealthcareIT #AIinHealthcare #DigitalHealth #CancerResearch #HealthTech #Telemedicine #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-AupEQCHBPb5f2kJaTviy5czpKrpTG", "object": "chat.completion", "created": 1738106666, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in healthcare IT are shaping the future! Manas AI, co-founded by Reid Hoffman and Siddhartha Mukherjee, has launched with $25M in seed funding to revolutionize cancer drug discovery. Meanwhile, UMass Memorial Health is enhancing patient care with a new Digital Hub for remote monitoring and patient flow. The acquisition of Yoomi Health by Raintree Systems signals growth in therapy-focused IT solutions. As we navigate these changes, a focus on AI's role in productivity and healthcare delivery remains crucial. nn#HealthcareIT #AIinHealthcare #DigitalHealth #CancerResearch #HealthTech #Telemedicine #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1834, "completion_tokens": 129, "total_tokens": 1963, "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 - 1834
Completion Tokens - 129
Total Tokens - 1963

 

The Effects of Self-Monitoring Using a Smartwatch and Smartphone App on Stress Awareness, Self-Efficacy, and Well-Being–Related Outcomes in Police Officers: Longitudinal Mixed Design Study

JMIR mHealth and uHealth - (Wednesday January 29, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: Wearable sensor technology, often referred to as ‘wearables’, has seen a rapid rise in consumer interest in recent years. Initially often seen as ‘activity trackers’, wearables have gradually expanded to also estimate sleep,...

Wearable technology is transforming health outcomes, especially for high-stress professions like policing. A recent study revealed that a five-week smartwatch intervention improved stress awareness and well-being among police officers. While the basic intervention showed a consistent positive effect on several outcomes, adding Ecological Momentary Assessment (EMA) and peer support did not enhance effectiveness for all metrics. This highlights the need for tailored interventions to meet specific occupational needs. As healthcare IT professionals, we should explore how wearables can be optimized for diverse work environments.#HealthcareIT #WearableTechnology #MentalHealth #StressManagement #FirstResponders #Wellbeing #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-AunUIXVPAT2lmxkkIgrkDZ9Gdgp0G", "object": "chat.completion", "created": 1738099962, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Wearable technology is transforming health outcomes, especially for high-stress professions like policing. A recent study revealed that a five-week smartwatch intervention improved stress awareness and well-being among police officers. While the basic intervention showed a consistent positive effect on several outcomes, adding Ecological Momentary Assessment (EMA) and peer support did not enhance effectiveness for all metrics. This highlights the need for tailored interventions to meet specific occupational needs. As healthcare IT professionals, we should explore how wearables can be optimized for diverse work environments. nn#HealthcareIT #WearableTechnology #MentalHealth #StressManagement #FirstResponders #Wellbeing #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 760, "completion_tokens": 126, "total_tokens": 886, "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 - 760
Completion Tokens - 126
Total Tokens - 886

 

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.