ChatGPT Summaries
Optimizing Medication Journey from Prescribing to Adherence to Improved Outcomes – HITT Podcast #154Healthcare 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. { "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 | |
Yale study shows how AI bias worsens healthcare disparitiesHealthcare 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. { "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 | |
Cofactor AI Launches Platform to Help Hospitals Fight Tidal Wave of Claims Denials and Announces $4 Million Seed RoundHIT 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. { "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 | |
Trusts using FDP treat 114 more patients a month on averageDigital 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. { "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 | |
Patchwork Health Acquires L2P to Create Healthcare Workforce Leader – DigitalHealth.LondonDigitalHealth.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. { "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 | |
Exclusive: PatientsLikeMe launches AI assistant focused on women’s healthMobiHealthNews - (Monday November 25, 2024) - Frequent Updates/ MobiHealthNews | |
PatientsLikeMe (PLM), a patient engagement and activation platform, is announcing the launch of Ella, an AI assistant to help women manage their health powered by generative AI platform Ema.PatientsLikeMe is a personalized health network... Exciting news in women's health! PatientsLikeMe has launched Ella, an AI assistant designed to empower women in managing their health. Powered by Ema's generative AI, Ella offers personalized, evidence-based guidance and makes medical information accessible and understandable. By tailoring resources to individual health experiences and backgrounds, Ella enhances patient engagement and supports healthcare businesses in improving outcomes. As Chris Renfro states, Ella simplifies access to vital insights, enabling patients to advocate for their own care. This innovative collaboration between PLM and Ema is set to transform patient empowerment in healthcare. #HealthcareIT #AIinHealth #WomensHealth #PatientEngagement #HealthTech #DigitalHealth #HealthInnovation As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AXWjODKCX2FuPfdTHN6xJfU1hylFV", "object": "chat.completion", "created": 1732554006, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in women's health! PatientsLikeMe has launched Ella, an AI assistant designed to empower women in managing their health. Powered by Ema's generative AI, Ella offers personalized, evidence-based guidance and makes medical information accessible and understandable. By tailoring resources to individual health experiences and backgrounds, Ella enhances patient engagement and supports healthcare businesses in improving outcomes. As Chris Renfro states, Ella simplifies access to vital insights, enabling patients to advocate for their own care. This innovative collaboration between PLM and Ema is set to transform patient empowerment in healthcare. #HealthcareIT #AIinHealth #WomensHealth #PatientEngagement #HealthTech #DigitalHealth #HealthInnovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 632, "completion_tokens": 136, "total_tokens": 768, "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 - 632 | |
Exclusive: PatientsLikeMe launches AI health assistant focused on women’s healthMobiHealthNews - (Monday November 25, 2024) - Frequent Updates/ MobiHealthNews | |
PatientsLikeMe (PLM), a patient engagement and activation platform, is announcing the launch of Ella, an AI assistant to help women manage their health powered by generative AI platform Ema.PatientsLikeMe is a personalized health network... Exciting developments in women's health! PatientsLikeMe has launched Ella, an AI health assistant designed to empower women in managing their health. Powered by Ema's generative AI, Ella provides personalized, evidence-based guidance, making medical information accessible and tailored to individual experiences. This innovative tool not only enhances patient engagement but also supports healthcare businesses by delivering actionable insights. As Chris Renfro and Amanda Ducach highlight, Ella enables patients to actively participate in their care, transforming the healthcare experience.#HealthcareIT #AIinHealth #WomenHealth #PatientEngagement #HealthTech #DigitalHealth #Innovation As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AXUXwrCksugrBrD96xCYj5219pEjm", "object": "chat.completion", "created": 1732545608, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in women's health! PatientsLikeMe has launched Ella, an AI health assistant designed to empower women in managing their health. Powered by Ema's generative AI, Ella provides personalized, evidence-based guidance, making medical information accessible and tailored to individual experiences. This innovative tool not only enhances patient engagement but also supports healthcare businesses by delivering actionable insights. As Chris Renfro and Amanda Ducach highlight, Ella enables patients to actively participate in their care, transforming the healthcare experience. nn#HealthcareIT #AIinHealth #WomenHealth #PatientEngagement #HealthTech #DigitalHealth #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 633, "completion_tokens": 120, "total_tokens": 753, "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 - 633 | |
Singapore tackling chronic diseases with wearablesHealthcare IT news - (Monday November 25, 2024) - Frequent Updates/ Healthcare IT News | |
Singapore's Health Promotion Board has partnered with several technology companies to pilot programmes that aim to promote self-health management by delivering data-driven, personalised recommendations for preventing and managing chronic diseases.WHAT IT'S ABOUT The DigiCoach programme with... Singapore is leveraging technology to combat chronic diseases through innovative pilot programs. The DigiCoach initiative, in collaboration with Abbott and Health2Sync, targets pre-diabetic individuals using Abbott's FreeStyle Libre glucose monitor and a mobile app for real-time insights. Meanwhile, HealthTrack SG, partnered with Google and ConnectedLife, focuses on managing hypertension and diabetes by collecting lifestyle and clinical data via Fitbit trackers. These data-driven programs aim to empower Singaporeans to take control of their health while ensuring data privacy. As these initiatives progress, they hold the potential for broader implementation across the nation. #HealthTech #WearableTech #ChronicDiseaseManagement #DigitalHealth #DataPrivacy #HealthInnovation #SingaporeHealth As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AXSfl1BRffECKw9QTxhGveIQUxTzO", "object": "chat.completion", "created": 1732538405, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Singapore is leveraging technology to combat chronic diseases through innovative pilot programs. The DigiCoach initiative, in collaboration with Abbott and Health2Sync, targets pre-diabetic individuals using Abbott's FreeStyle Libre glucose monitor and a mobile app for real-time insights. Meanwhile, HealthTrack SG, partnered with Google and ConnectedLife, focuses on managing hypertension and diabetes by collecting lifestyle and clinical data via Fitbit trackers. These data-driven programs aim to empower Singaporeans to take control of their health while ensuring data privacy. As these initiatives progress, they hold the potential for broader implementation across the nation. #HealthTech #WearableTech #ChronicDiseaseManagement #DigitalHealth #DataPrivacy #HealthInnovation #SingaporeHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 785, "completion_tokens": 138, "total_tokens": 923, "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 - 785 | |
Sheffield Teaching Hospitals delays £85m Oracle EPR go-liveDigital Health - (Monday November 25, 2024) - Digital Health/ Frequent Updates | |
Exclusive: Sheffield Teaching Hospitals NHS Foundation Trust has delayed the go-live date for its Cerner Millennium electronic patient record (EPR) to deal with “outstanding issues” around system and organisational readiness. The trust announced in February... Sheffield Teaching Hospitals NHS Foundation Trust has postponed the go-live date for its £85 million Cerner Millennium electronic patient record (EPR) system due to unresolved issues with system and organizational readiness. CEO Kirsten Major emphasized the importance of being fully prepared before launching such a significant investment, which aims to enhance patient care quality and safety. The trust is also planning a patient portal for future phases. This decision follows a previous abandonment of a £400 million EPR tender in 2021, highlighting the complexities of implementing effective healthcare IT solutions. #HealthcareIT #EHR #PatientCare #DigitalHealth #HealthTech #OracleHealth #NHS As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AXSvDc2KjSRLdgsN3Q3UmXsNCQMjl", "object": "chat.completion", "created": 1732539363, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Sheffield Teaching Hospitals NHS Foundation Trust has postponed the go-live date for its £85 million Cerner Millennium electronic patient record (EPR) system due to unresolved issues with system and organizational readiness. CEO Kirsten Major emphasized the importance of being fully prepared before launching such a significant investment, which aims to enhance patient care quality and safety. The trust is also planning a patient portal for future phases. This decision follows a previous abandonment of a £400 million EPR tender in 2021, highlighting the complexities of implementing effective healthcare IT solutions. #HealthcareIT #EHR #PatientCare #DigitalHealth #HealthTech #OracleHealth #NHS", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 637, "completion_tokens": 129, "total_tokens": 766, "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 - 637 | |
HIStalk Interviews Thomas Charlton, CEO, Goliath Technologies – HIStalkHIStalk - (Monday November 25, 2024) - Daily Reads/ HIStalk | |
Thomas Charlton is chairman and CEO of Goliath Technologies. Tell me about yourself and the company. We offer software that plays a critical role in ensuring that clinicians have seamless access to clinical... In a recent interview, Thomas Charlton, CEO of Goliath Technologies, emphasized the importance of enhancing clinician access to EHR systems like Epic and Oracle Health. By leveraging end-user experience monitoring, Goliath helps health IT teams proactively identify and resolve unreported issues, improving clinician satisfaction and patient care. The shift from a complaint-based to a data-driven approach fosters better communication between IT and clinical staff, enabling rapid problem-solving. With AI integration, Goliath aims to reduce mean time to resolution, allowing clinicians to focus on patient care rather than technology hurdles.#HealthIT #EHR #PatientCare #AIinHealthcare #ClinicianExperience #HealthcareInnovation #DataDrivenDecisionMaking As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AXVAwfzPPtz3UvzWTXBxmRDEMMH0z", "object": "chat.completion", "created": 1732548026, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent interview, Thomas Charlton, CEO of Goliath Technologies, emphasized the importance of enhancing clinician access to EHR systems like Epic and Oracle Health. By leveraging end-user experience monitoring, Goliath helps health IT teams proactively identify and resolve unreported issues, improving clinician satisfaction and patient care. The shift from a complaint-based to a data-driven approach fosters better communication between IT and clinical staff, enabling rapid problem-solving. With AI integration, Goliath aims to reduce mean time to resolution, allowing clinicians to focus on patient care rather than technology hurdles. nn#HealthIT #EHR #PatientCare #AIinHealthcare #ClinicianExperience #HealthcareInnovation #DataDrivenDecisionMaking", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 2300, "completion_tokens": 140, "total_tokens": 2440, "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 - 2300 | |