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Managing Technical Debt in Healthcare: A Guide for Hospitals

HIT Consultant - (Monday December 2, 2024) - Frequent Updates/ HIT Consultant

Dave Lamar, Chief Growth Officer of MediQuantOrganizations of every size and industry experience challenges associated with technical debt, which refers to future costs and inefficiencies resulting from not retiring outmoded IT applications.The challenges are...

Managing technical debt is crucial for healthcare organizations, especially amidst rising M&A activity. With hospitals spending over 30% of their IT budgets addressing this issue, a robust archiving strategy is essential. Understanding the software landscape and defining data retention requirements are key steps in effectively managing legacy systems. Additionally, building a core competency in archiving and setting realistic data transfer deadlines during M&A can streamline processes and reduce costs. By tackling technical debt strategically, hospitals can enhance innovation and improve patient care.#HealthcareIT #TechnicalDebt #DataManagement #MergersAndAcquisitions #HealthTech #DigitalTransformation #ArchivingSolutions

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-AZv0vXIWUDI25woGUbzYgd57xCRJ6", "object": "chat.completion", "created": 1733124005, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Managing technical debt is crucial for healthcare organizations, especially amidst rising M&A activity. With hospitals spending over 30% of their IT budgets addressing this issue, a robust archiving strategy is essential. Understanding the software landscape and defining data retention requirements are key steps in effectively managing legacy systems. Additionally, building a core competency in archiving and setting realistic data transfer deadlines during M&A can streamline processes and reduce costs. By tackling technical debt strategically, hospitals can enhance innovation and improve patient care. nn#HealthcareIT #TechnicalDebt #DataManagement #MergersAndAcquisitions #HealthTech #DigitalTransformation #ArchivingSolutions", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1299, "completion_tokens": 125, "total_tokens": 1424, "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 - 1299
Completion Tokens - 125
Total Tokens - 1424

 

Te Whatu Ora proposes to ax a third of data, digital roles

Healthcare IT news - (Monday December 2, 2024) - Frequent Updates/ Healthcare IT News

Te Whatu Ora (Health New Zealand) is proposing to let go of about a third of positions in data and digital.It contemplates cutting approximately 653 full-time-equivalent roles – excluding vacancies – from Digital Services,...

Te Whatu Ora's proposal to cut a third of its data and digital roles, totaling approximately 653 positions, signals a significant shift in New Zealand's healthcare landscape. This decision follows ongoing cost-cutting measures, including the recall of NZ$330 million from digital health initiatives and further reductions to fund frontline services. While CEO Margie Apa emphasizes the need for financial stability, critics warn that these cuts threaten the promise of modernized IT systems and accurate patient data access. The Public Service Association cautions against reverting to outdated practices, highlighting the potential long-term impact on healthcare delivery. #HealthcareIT #DigitalHealth #HealthReform #DataManagement #HealthTech #PublicHealth #HealthcareInnovation

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-AZq1EF5UdB5Yw8jMcmUEvrGDNMqdE", "object": "chat.completion", "created": 1733104804, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Te Whatu Ora's proposal to cut a third of its data and digital roles, totaling approximately 653 positions, signals a significant shift in New Zealand's healthcare landscape. This decision follows ongoing cost-cutting measures, including the recall of NZ$330 million from digital health initiatives and further reductions to fund frontline services. While CEO Margie Apa emphasizes the need for financial stability, critics warn that these cuts threaten the promise of modernized IT systems and accurate patient data access. The Public Service Association cautions against reverting to outdated practices, highlighting the potential long-term impact on healthcare delivery. #HealthcareIT #DigitalHealth #HealthReform #DataManagement #HealthTech #PublicHealth #HealthcareInnovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 549, "completion_tokens": 138, "total_tokens": 687, "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 - 549
Completion Tokens - 138
Total Tokens - 687

 

Monday Morning Update 12/2/24 – HIStalk

HIStalk - (Sunday December 1, 2024) - Daily Reads/ HIStalk

Top NewsBusiness Insider reports that many digital health startups are cutting their valuations, shutting down, or being quietly acquired for parts after raising no new venture capital since the ZIRP heyday of 2021. Venture...

In the latest HIStalk update, the digital health landscape faces challenges as startups struggle with declining valuations and limited venture capital, shifting investor focus to AI. Many early-stage health ventures are quietly closing or being acquired, highlighting a turbulent market. Notably, TeamBuilder emerges as a key player in predictive staff scheduling for ambulatory care, addressing inefficiencies in staffing processes. Additionally, the integration of Epic with the Social Security Administration showcases the potential of interoperability in improving disability determinations. As we navigate these changes, the importance of governance and real-world testing in AI implementation cannot be overstated.#DigitalHealth #HealthIT #HealthcareInnovation #AIinHealthcare #Interoperability #StartupChallenges #PredictiveAnalytics

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

{ "id": "chatcmpl-AZiWi4JENdyTimDXPMaNQrNPRw7Yq", "object": "chat.completion", "created": 1733076004, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the latest HIStalk update, the digital health landscape faces challenges as startups struggle with declining valuations and limited venture capital, shifting investor focus to AI. Many early-stage health ventures are quietly closing or being acquired, highlighting a turbulent market. Notably, TeamBuilder emerges as a key player in predictive staff scheduling for ambulatory care, addressing inefficiencies in staffing processes. Additionally, the integration of Epic with the Social Security Administration showcases the potential of interoperability in improving disability determinations. As we navigate these changes, the importance of governance and real-world testing in AI implementation cannot be overstated. nn#DigitalHealth #HealthIT #HealthcareInnovation #AIinHealthcare #Interoperability #StartupChallenges #PredictiveAnalytics", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 2115, "completion_tokens": 143, "total_tokens": 2258, "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 - 2115
Completion Tokens - 143
Total Tokens - 2258

 

Emmy Award Winning Couple Share Secrets and Practical Tools to Love and Success in New Book

eHealth Radio Network - (Sunday December 1, 2024) - eHealth Radio Network/ Podcasts

 International television star and Emmy winning producer, Sean Kanan who currently stars on CBS’s The Bold & The Beautiful and the Netflix series, Cobra Kai joins eHealth Radio and the Health News and Relationship...

Unlocking the secrets to lasting love, Emmy Award-winning couple Sean and Michele Kanan share their insights in their new book, *Way of the COBRA Couples*. This collaboration emphasizes the importance of intentionality, communication, and personal growth within relationships. Key concepts include the significance of an "Origin Story" and the notion that "the right partner will make you." Their journey illustrates that love is just the beginning; wisdom and strategy are essential for success. Discover how to evolve together while maintaining individuality for a thriving partnership.#HealthcareIT #Relationships #EmmyWinners #PersonalGrowth #LoveAndSuccess #Leadership #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-AZb9yX5Bxsf2ybMDDmRl4kCW6kUm4", "object": "chat.completion", "created": 1733047686, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the secrets to lasting love, Emmy Award-winning couple Sean and Michele Kanan share their insights in their new book, *Way of the COBRA Couples*. This collaboration emphasizes the importance of intentionality, communication, and personal growth within relationships. Key concepts include the significance of an "Origin Story" and the notion that "the right partner will make you." Their journey illustrates that love is just the beginning; wisdom and strategy are essential for success. Discover how to evolve together while maintaining individuality for a thriving partnership. nn#HealthcareIT #Relationships #EmmyWinners #PersonalGrowth #LoveAndSuccess #Leadership #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1431, "completion_tokens": 126, "total_tokens": 1557, "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 - 1431
Completion Tokens - 126
Total Tokens - 1557

 

Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation

npj Digital Medicine - (Saturday November 30, 2024) - AI/ Frequent Updates/ npj Digital Medicine

Clinicians face increasing workloads in medical imaging interpretation, and artificial intelligence (AI) offers potential relief. This meta-analysis evaluates the impact of human-AI collaboration on image interpretation workload. Four databases were searched for studies comparing...

Harnessing the synergy between human expertise and artificial intelligence (AI) can significantly alleviate the workload in medical image interpretation. A recent meta-analysis revealed that AI assistance reduces reading time by 27.20% and the quantity of images reviewed by up to 61.72% when used as a pre-screening tool. This collaboration not only enhances efficiency but also maintains diagnostic performance, with relative sensitivity showing a promising increase. However, caution is advised due to variability in study quality and the need for robust clinical integration strategies. The future of medical imaging lies in effective human-AI partnerships. #HealthcareIT #AIinHealthcare #MedicalImaging #DigitalHealth #Radiology #WorkloadReduction #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-AZNvJTOckL3xacTrqT5UCUrNesGd3", "object": "chat.completion", "created": 1732996805, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing the synergy between human expertise and artificial intelligence (AI) can significantly alleviate the workload in medical image interpretation. A recent meta-analysis revealed that AI assistance reduces reading time by 27.20% and the quantity of images reviewed by up to 61.72% when used as a pre-screening tool. This collaboration not only enhances efficiency but also maintains diagnostic performance, with relative sensitivity showing a promising increase. However, caution is advised due to variability in study quality and the need for robust clinical integration strategies. The future of medical imaging lies in effective human-AI partnerships. #HealthcareIT #AIinHealthcare #MedicalImaging #DigitalHealth #Radiology #WorkloadReduction #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 28100, "completion_tokens": 140, "total_tokens": 28240, "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 - 28100
Completion Tokens - 140
Total Tokens - 28240

 

Identifying Parkinson’s disease and its stages using static standing balance

npj Digital Medicine - (Saturday November 30, 2024) - AI/ Frequent Updates/ npj Digital Medicine

The current assessment of Parkinson’s disease (PD) relies on dynamic motor tasks, limiting accessibility. This study aimed to propose an innovative approach to identifying PD and its stages using static standing balance and machine...

Innovative approaches to Parkinson's disease (PD) assessment are crucial for early detection and intervention. A recent study proposed using static standing balance to identify PD stages, leveraging machine learning techniques. By analyzing center of pressure trajectory data from 210 participants, the researchers achieved an impressive F1-score of 0.963 in classifying six groups, enhancing accessibility to PD monitoring. This method could revolutionize how we assess PD, particularly in early stages, and reduce the reliance on dynamic tasks or skilled professionals.#HealthcareIT #ParkinsonsDisease #MachineLearning #DigitalHealth #BiomedicalEngineering #HealthTech #AIinHealthcare

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-AZLQpk4VrHJHscOrNAAq7KAIhncb9", "object": "chat.completion", "created": 1732987227, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Innovative approaches to Parkinson's disease (PD) assessment are crucial for early detection and intervention. A recent study proposed using static standing balance to identify PD stages, leveraging machine learning techniques. By analyzing center of pressure trajectory data from 210 participants, the researchers achieved an impressive F1-score of 0.963 in classifying six groups, enhancing accessibility to PD monitoring. This method could revolutionize how we assess PD, particularly in early stages, and reduce the reliance on dynamic tasks or skilled professionals. nn#HealthcareIT #ParkinsonsDisease #MachineLearning #DigitalHealth #BiomedicalEngineering #HealthTech #AIinHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 24718, "completion_tokens": 125, "total_tokens": 24843, "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 - 24718
Completion Tokens - 125
Total Tokens - 24843

 

Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions

npj Digital Medicine - (Saturday November 30, 2024) - AI/ Frequent Updates/ npj Digital Medicine

This report presents a comprehensive case study for the responsible integration of artificial intelligence (AI) into healthcare settings. Recognizing the rapid advancement of AI technologies and their potential to transform healthcare delivery, we propose...

In the rapidly evolving landscape of healthcare, establishing responsible AI guidelines is crucial. This comprehensive case study outlines a framework for integrating AI in clinical settings, emphasizing fairness, privacy, safety, and transparency. By operationalizing these guidelines through a multidisciplinary approach, the study highlights the practical application of generative AI in ambient documentation, addressing challenges and ethical considerations. Continuous monitoring and adaptation of AI technologies are essential for enhancing patient care and ensuring equitable outcomes. This work serves as a blueprint for healthcare institutions navigating AI integration responsibly.#HealthcareIT #ArtificialIntelligence #AIEthics #DigitalHealth #HealthTech #PatientCare #MachineLearning

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-AZLQS93jmWjbF77B5Uf65DepIKOkF", "object": "chat.completion", "created": 1732987204, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the rapidly evolving landscape of healthcare, establishing responsible AI guidelines is crucial. This comprehensive case study outlines a framework for integrating AI in clinical settings, emphasizing fairness, privacy, safety, and transparency. By operationalizing these guidelines through a multidisciplinary approach, the study highlights the practical application of generative AI in ambient documentation, addressing challenges and ethical considerations. Continuous monitoring and adaptation of AI technologies are essential for enhancing patient care and ensuring equitable outcomes. This work serves as a blueprint for healthcare institutions navigating AI integration responsibly.nn#HealthcareIT #ArtificialIntelligence #AIEthics #DigitalHealth #HealthTech #PatientCare #MachineLearning", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 19886, "completion_tokens": 125, "total_tokens": 20011, "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 - 19886
Completion Tokens - 125
Total Tokens - 20011

 

Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach

npj Digital Medicine - (Saturday November 30, 2024) - AI/ Frequent Updates/ npj Digital Medicine

People with a history of injecting drug use are a priority for eliminating blood-borne viruses and sexually transmissible infections. Identifying them for disease surveillance in electronic medical records (EMRs) is challenged by sparsity of...

Unlocking the potential of electronic medical records (EMRs), a recent study introduces an interactive machine learning approach to phenotype individuals with a history of injecting drug use. By iteratively training random forest classifiers, researchers achieved over 90% precision and recall, identifying an additional 128,704 patients as potentially having injected drugs. This innovative method not only enhances disease surveillance but also reveals hidden predictors within EMRs, addressing challenges posed by inconsistent data. Such advancements could significantly inform public health strategies for blood-borne virus prevention.#HealthcareIT #MachineLearning #PublicHealth #DataScience #Epidemiology #DigitalHealth #AIinHealthcare

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-AZGQm0i2Ln5LeXkQO65kgLE0nloXo", "object": "chat.completion", "created": 1732968004, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of electronic medical records (EMRs), a recent study introduces an interactive machine learning approach to phenotype individuals with a history of injecting drug use. By iteratively training random forest classifiers, researchers achieved over 90% precision and recall, identifying an additional 128,704 patients as potentially having injected drugs. This innovative method not only enhances disease surveillance but also reveals hidden predictors within EMRs, addressing challenges posed by inconsistent data. Such advancements could significantly inform public health strategies for blood-borne virus prevention. nn#HealthcareIT #MachineLearning #PublicHealth #DataScience #Epidemiology #DigitalHealth #AIinHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25750, "completion_tokens": 128, "total_tokens": 25878, "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 - 25750
Completion Tokens - 128
Total Tokens - 25878

 

Auxiliary Diagnosis of Children With Attention-Deficit/Hyperactivity Disorder Using Eye-Tracking and Digital Biomarkers: Case-Control Study

JMIR mHealth and uHealth - (Saturday November 30, 2024) - Frequent Updates/ JMIR mHealth and uHealth

Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in school-aged children. The lack of objective biomarkers for ADHD often results in missed diagnoses or misdiagnoses, which lead to inappropriate or delayed interventions. Eye-tracking...

Harnessing eye-tracking technology and digital biomarkers could revolutionize ADHD diagnosis in children. A recent case-control study involving 216 participants demonstrated that eye-tracking assessments can objectively differentiate between children with ADHD and typically developing peers. Key findings revealed significant disparities in eye movement patterns, with machine learning models achieving an impressive accuracy of 90.8% in identifying ADHD. This innovative approach not only enhances diagnostic reliability but also holds promise for early screening in educational settings, paving the way for timely interventions.#HealthcareIT #ADHD #DigitalHealth #EyeTracking #MachineLearning #PediatricCare #NeurodevelopmentalDisorders

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-AZ2hAHTsxngCBe0sxSDupBWWIlI8U", "object": "chat.completion", "created": 1732915204, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing eye-tracking technology and digital biomarkers could revolutionize ADHD diagnosis in children. A recent case-control study involving 216 participants demonstrated that eye-tracking assessments can objectively differentiate between children with ADHD and typically developing peers. Key findings revealed significant disparities in eye movement patterns, with machine learning models achieving an impressive accuracy of 90.8% in identifying ADHD. This innovative approach not only enhances diagnostic reliability but also holds promise for early screening in educational settings, paving the way for timely interventions. nn#HealthcareIT #ADHD #DigitalHealth #EyeTracking #MachineLearning #PediatricCare #NeurodevelopmentalDisorders", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 639, "completion_tokens": 125, "total_tokens": 764, "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 - 639
Completion Tokens - 125
Total Tokens - 764

 

Revolutionizing Clinical Trials with AI and Pharmacists. Digital Health Interview with Gerald Finken

BeKey - (Friday November 29, 2024) - BeKey/ Videos

Welcome to an enlightening interview with Gerald Finken, the founder and CEO of RxE2.Join us as we delve into Gerald's journey as a digital health entrepreneur and explore how RxE2 is transforming the clinical...

🚀 The future of clinical trials is here! In a recent interview, Gerald Finken, CEO of RxE2, shares how his company is revolutionizing the clinical trial landscape by integrating pharmacists into research. He discusses the pandemic's impact on trials, the accelerating adoption of technology by pharma companies, and offers invaluable advice for digital health startup founders. This conversation highlights the challenges and opportunities within the industry, making it a must-watch for healthcare IT professionals.#DigitalHealth #MedTech #HealthTech #AI #Pharmaceuticals #ClinicalTrials #Startups

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-AZAV3iwiPFtlyYfhX66cFMoSPsT1J", "object": "chat.completion", "created": 1732945205, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 The future of clinical trials is here! In a recent interview, Gerald Finken, CEO of RxE2, shares how his company is revolutionizing the clinical trial landscape by integrating pharmacists into research. He discusses the pandemic's impact on trials, the accelerating adoption of technology by pharma companies, and offers invaluable advice for digital health startup founders. This conversation highlights the challenges and opportunities within the industry, making it a must-watch for healthcare IT professionals. nn#DigitalHealth #MedTech #HealthTech #AI #Pharmaceuticals #ClinicalTrials #Startups", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 646, "completion_tokens": 113, "total_tokens": 759, "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 - 646
Completion Tokens - 113
Total Tokens - 759

 

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.