ChatGPT Summaries

What You Should Know:  There is a noteworthy disconnect between healthcare leaders and workers in identifying the primary cause of burnout, according to a new comprehensive survey by Holon Solutions. The latest report offers...

#HealthcareLeadersUnclearOnTrueCausesOfWorkerBurnoutA recent survey conducted by Medscape found that healthcare leaders are unclear on the true causes of worker burnout. The survey included responses from over 15,000 physicians across 29 specialties and revealed that while healthcare leaders recognize the issue of burnout, they are not addressing the root causes.#BurnoutIsAProblemBurnout is a significant problem in the healthcare industry, with studies showing that it affects up to 50% of physicians. Burnout can lead to decreased job satisfaction, increased medical errors, and even suicide.#LeadersRecognizeBurnoutThe Medscape survey found that 92% of healthcare leaders recognize burnout as a problem. However,

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Healthcare Leaders Unclear on True Causes of Worker Burnout https://hitconsultant.net/2023/06/20/healthcare-leaders-unclear-on-true-causes-of-worker-burnout/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7TecvmQGZWLJaFzy0lL2wtlN8bKUr", "object": "chat.completion", "created": 1687302037, "model": "gpt-3.5-turbo-0301", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "#HealthcareLeadersUnclearOnTrueCausesOfWorkerBurnoutnnA recent survey conducted by Medscape found that healthcare leaders are unclear on the true causes of worker burnout. The survey included responses from over 15,000 physicians across 29 specialties and revealed that while healthcare leaders recognize the issue of burnout, they are not addressing the root causes.nn#BurnoutIsAProblemnnBurnout is a significant problem in the healthcare industry, with studies showing that it affects up to 50% of physicians. Burnout can lead to decreased job satisfaction, increased medical errors, and even suicide.nn#LeadersRecognizeBurnoutnnThe Medscape survey found that 92% of healthcare leaders recognize burnout as a problem. However," }, "finish_reason": "length" } ], "usage": { "prompt_tokens": 181, "completion_tokens": 150, "total_tokens": 331 } }

Prompt Tokens - 181
Completion Tokens - 150
Total Tokens - 331

By Sarai RodriguezJune 20, 2023 - Only about 46 percent of non-federal acute care hospitals in the United States participate in clinical data registries due to the daunting task of data collection. However, a solution may...

#ONC Project Taps FHIR to Extract Over 40% of Clinical Data RegistryThe Office of the National Coordinator for Health Information Technology (ONC) has launched a new project that leverages the Fast Healthcare Interoperability Resources (FHIR) standard to extract clinical data from electronic health records (EHRs) and other health IT systems. The project aims to extract over 40% of the data elements required for the ONC's Certified Health IT Product List (CHPL) Clinical Quality Measures (CQMs) from FHIR-based data sources.#FHIR-Based Data SourcesThe ONC's project will use FHIR-based data sources to extract clinical data from EHRs and other health IT systems. FHIR

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. ONC Project Taps FHIR to Extract Over 40% of Clinical Data Registry https://ehrintelligence.com/news/onc-project-taps-fhir-to-extract-over-40-of-clinical-data-registry
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7TaZfuMb73YG75nh6nR3KowU2tpL8", "object": "chat.completion", "created": 1687286459, "model": "gpt-3.5-turbo-0301", "usage": { "prompt_tokens": 182, "completion_tokens": 150, "total_tokens": 332 }, "choices": [ { "message": { "role": "assistant", "content": "#ONC Project Taps FHIR to Extract Over 40% of Clinical Data RegistrynnThe Office of the National Coordinator for Health Information Technology (ONC) has launched a new project that leverages the Fast Healthcare Interoperability Resources (FHIR) standard to extract clinical data from electronic health records (EHRs) and other health IT systems. The project aims to extract over 40% of the data elements required for the ONC's Certified Health IT Product List (CHPL) Clinical Quality Measures (CQMs) from FHIR-based data sources.nn#FHIR-Based Data SourcesnnThe ONC's project will use FHIR-based data sources to extract clinical data from EHRs and other health IT systems. FHIR" }, "finish_reason": "length", "index": 0 } ] }

Prompt Tokens - 182
Completion Tokens - 150
Total Tokens - 332

Dr. Don Rucker, the former National Coordinator for Health IT from 2017-2021, said he sees the current proposed structure of the Trusted Exchange Framework and Common Agreement and its reliance on brokered protocols and...

Former ONC Chief, Dr. Karen DeSalvo, discusses the Trusted Exchange Framework and Common Agreement (TEFCA) and Fast Healthcare Interoperability Resources (FHIR) in healthcare IT. #TEFCA #FHIRTEFCA is a set of principles and guidelines for health information exchange (HIE) that aims to improve interoperability across healthcare organizations. #HIE #interoperabilityFHIR is a standard for exchanging healthcare information electronically, allowing for easier data sharing between systems and applications. #FHIR #healthcareITDr. DeSalvo believes that FHIR is the "dynamite" that will ignite the explosion of data sharing and interoperability in healthcare. #dataexchange #interoperability

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Former ONC chief on TEFCA and the ‘dynamite’ of FHIR https://www.healthcareitnews.com/news/former-onc-chief-tefca-and-dynamite-fhir
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7TZwuh6TD8QYhzneUkPkyy4mJUnDd", "object": "chat.completion", "created": 1687284056, "model": "gpt-3.5-turbo-0301", "usage": { "prompt_tokens": 184, "completion_tokens": 150, "total_tokens": 334 }, "choices": [ { "message": { "role": "assistant", "content": "Former ONC Chief, Dr. Karen DeSalvo, discusses the Trusted Exchange Framework and Common Agreement (TEFCA) and Fast Healthcare Interoperability Resources (FHIR) in healthcare IT. #TEFCA #FHIRnnTEFCA is a set of principles and guidelines for health information exchange (HIE) that aims to improve interoperability across healthcare organizations. #HIE #interoperabilitynnFHIR is a standard for exchanging healthcare information electronically, allowing for easier data sharing between systems and applications. #FHIR #healthcareITnnDr. DeSalvo believes that FHIR is the "dynamite" that will ignite the explosion of data sharing and interoperability in healthcare. #dataexchange #interoperability" }, "finish_reason": "length", "index": 0 } ] }

Prompt Tokens - 184
Completion Tokens - 150
Total Tokens - 334

Cone Health used patient analytics to decide how many physicians, cardiologists and nurse practitioners to hire as it expanded diagnostic capacity in Greensboro, Nanda says. Big Data and health analytics systems have matured and can...

#PreventiveCare: How Big Data, Analytics, AI and More Improve OutcomesHealthcare providers are increasingly turning to big data, analytics, and artificial intelligence (AI) to improve preventive care outcomes. These technologies can help providers identify patients at risk for certain conditions, personalize treatment plans, and improve patient engagement.#Identifying At-Risk PatientsBig data and analytics can help providers identify patients who are at risk for certain conditions based on their medical history, family history, and lifestyle factors. This information can be used to develop personalized treatment plans that address the patient's specific needs.#Personalizing Treatment PlansAI can be used to personalize treatment plans based on a patient's medical history, genetic makeup, and lifestyle factors. This

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Preventive Care: How Big Data, Analytics, AI and More Improve Outcomes https://healthtechmagazine.net/article/2023/06/preventive-care-how-big-data-ai-improve-outcomes-perfcon
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7Tboc32u6SZNH4x7511nl2ScbTZKp", "object": "chat.completion", "created": 1687291230, "model": "gpt-3.5-turbo-0301", "usage": { "prompt_tokens": 183, "completion_tokens": 150, "total_tokens": 333 }, "choices": [ { "message": { "role": "assistant", "content": "#PreventiveCare: How Big Data, Analytics, AI and More Improve OutcomesnnHealthcare providers are increasingly turning to big data, analytics, and artificial intelligence (AI) to improve preventive care outcomes. These technologies can help providers identify patients at risk for certain conditions, personalize treatment plans, and improve patient engagement.nn#Identifying At-Risk PatientsnnBig data and analytics can help providers identify patients who are at risk for certain conditions based on their medical history, family history, and lifestyle factors. This information can be used to develop personalized treatment plans that address the patient's specific needs.nn#Personalizing Treatment PlansnnAI can be used to personalize treatment plans based on a patient's medical history, genetic makeup, and lifestyle factors. This" }, "finish_reason": "length", "index": 0 } ] }

Prompt Tokens - 183
Completion Tokens - 150
Total Tokens - 333

By Mark MelchionnaJune 20, 2023 - With a total slightly exceeding $1 million, a funding round from the Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research (JH AITC) provided several projects with support...

#JohnsHopkinsGrants: AI Solutions for Older PatientsJohns Hopkins Medicine has granted $100,000 to three teams of researchers to develop AI solutions for older patients. The teams will focus on improving patient care, reducing hospital readmissions, and enhancing patient safety.#Team1: AI for Patient CareThe first team will develop an AI-powered tool that predicts the likelihood of falls in older patients. The tool will use data from wearable sensors and electronic health records to identify patients at risk of falling and provide personalized interventions to prevent falls.#Team2: AI for Reducing Hospital ReadmissionsThe second team will develop an AI-powered tool that predicts the likelihood of hospital readmissions in older patients. The tool will use data

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Johns Hopkins Grants Aim to Support AI Solutions for Older Patients https://healthitanalytics.com/news/johns-hopkins-grants-aim-to-support-ai-solutions-for-older-patients
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7TaZNbchMnxuUAUNrVPhbMCSjIVUL", "object": "chat.completion", "created": 1687286441, "model": "gpt-3.5-turbo-0301", "usage": { "prompt_tokens": 177, "completion_tokens": 150, "total_tokens": 327 }, "choices": [ { "message": { "role": "assistant", "content": "#JohnsHopkinsGrants: AI Solutions for Older PatientsnnJohns Hopkins Medicine has granted $100,000 to three teams of researchers to develop AI solutions for older patients. The teams will focus on improving patient care, reducing hospital readmissions, and enhancing patient safety. nn#Team1: AI for Patient CarennThe first team will develop an AI-powered tool that predicts the likelihood of falls in older patients. The tool will use data from wearable sensors and electronic health records to identify patients at risk of falling and provide personalized interventions to prevent falls.nn#Team2: AI for Reducing Hospital ReadmissionsnnThe second team will develop an AI-powered tool that predicts the likelihood of hospital readmissions in older patients. The tool will use data" }, "finish_reason": "length", "index": 0 } ] }

Prompt Tokens - 177
Completion Tokens - 150
Total Tokens - 327

Coloring outside the lines has always been a challenge for healthcare providers. There are several ways to address the problem.By John Halamka, M.D., President, Mayo Clinic Platform, and Paul Cerrato, senior research analyst and...

#MayoClinicPlatform introduces a new approach to evidence-based medicine that goes beyond traditional clinical trials and systematic reviews. This new approach, called the #EvidenceAccelerationProgram, leverages real-world data and advanced analytics to generate evidence and insights that can inform clinical decision-making.The #EvidenceAccelerationProgram involves four key components: #RealWorldData, #AdvancedAnalytics, #ClinicalInsights, and #Collaboration. Real-world data includes data from electronic health records, claims data, and other sources that reflect the experiences of patients in real-world settings. Advanced analytics includes machine learning, natural language processing, and other techniques that can help identify patterns and insights in large datasets.Clinical insights involve the expertise of Mayo Clinic physicians and other healthcare

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Broadening the Approach to Evidence-Based Medicine – Mayo Clinic Platform https://www.mayoclinicplatform.org/2023/06/20/broadening-the-approach-to-evidence-based-medicine/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7TaG0HSb6m2nGQBzoo26ZYuo7muif", "object": "chat.completion", "created": 1687285240, "model": "gpt-3.5-turbo-0301", "usage": { "prompt_tokens": 184, "completion_tokens": 150, "total_tokens": 334 }, "choices": [ { "message": { "role": "assistant", "content": "#MayoClinicPlatform introduces a new approach to evidence-based medicine that goes beyond traditional clinical trials and systematic reviews. This new approach, called the #EvidenceAccelerationProgram, leverages real-world data and advanced analytics to generate evidence and insights that can inform clinical decision-making. nnThe #EvidenceAccelerationProgram involves four key components: #RealWorldData, #AdvancedAnalytics, #ClinicalInsights, and #Collaboration. Real-world data includes data from electronic health records, claims data, and other sources that reflect the experiences of patients in real-world settings. Advanced analytics includes machine learning, natural language processing, and other techniques that can help identify patterns and insights in large datasets. nnClinical insights involve the expertise of Mayo Clinic physicians and other healthcare" }, "finish_reason": "length", "index": 0 } ] }

Prompt Tokens - 184
Completion Tokens - 150
Total Tokens - 334

By Jill McKeon June 20, 2023 - The Federal Trade Commission (FTC) reached a proposed settlement with 1Health.io, a genetic testing company, over its alleged security and privacy failures. The order requires the company to pay...

#FTCProposesSettlementWithGeneticTestingCompanyThe Federal Trade Commission (FTC) has proposed a settlement with a genetic testing company over unsecured health data. The company allegedly failed to implement reasonable security measures to protect the sensitive personal information of its customers.#TheAllegationsThe allegations against the company include failing to adequately assess risks to the personal information it collected, failing to implement reasonable safeguards to protect that information, and failing to adhere to basic security protocols.#TheProposedSettlementUnder the proposed settlement, the company would be required to implement a comprehensive information security program, undergo biennial assessments of its security program, and provide annual certification of compliance with the settlement terms.#TheImportance

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. FTC Proposes Settlement With Genetic Testing Company Over Unsecured Health Data https://healthitsecurity.com/news/ftc-proposes-settlement-with-genetic-testing-company-over-unsecured-health-data
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7TZKsoUjPVp9UV3VW2QfZUO2k7Xoc", "object": "chat.completion", "created": 1687281698, "model": "gpt-3.5-turbo-0301", "usage": { "prompt_tokens": 175, "completion_tokens": 150, "total_tokens": 325 }, "choices": [ { "message": { "role": "assistant", "content": "#FTCProposesSettlementWithGeneticTestingCompanynnThe Federal Trade Commission (FTC) has proposed a settlement with a genetic testing company over unsecured health data. The company allegedly failed to implement reasonable security measures to protect the sensitive personal information of its customers. nn#TheAllegationsnnThe allegations against the company include failing to adequately assess risks to the personal information it collected, failing to implement reasonable safeguards to protect that information, and failing to adhere to basic security protocols. nn#TheProposedSettlementnnUnder the proposed settlement, the company would be required to implement a comprehensive information security program, undergo biennial assessments of its security program, and provide annual certification of compliance with the settlement terms. nn#TheImportance" }, "finish_reason": "length", "index": 0 } ] }

Prompt Tokens - 175
Completion Tokens - 150
Total Tokens - 325

What You Should Know:Dr. Renee Dua and Nick Desai — who previously founded and built visionary doctor house call company Heal — today introduced Together by Renee, the first app to use generative AI to complete...

#NewGenerativeAIApp: Measures Vital Signs Through A SelfieA new generative AI app has been developed that can measure vital signs through a selfie. The app uses artificial intelligence to analyze changes in skin color and blood flow in the face to determine heart rate, respiration rate, and blood oxygen levels. This technology has the potential to revolutionize healthcare by allowing for remote monitoring of patients' vital signs without the need for invasive or uncomfortable devices.#HowItWorksThe app works by analyzing the video feed from a smartphone camera and using machine learning algorithms to identify changes in skin color and blood flow in the face. These changes are then used to calculate vital signs such as heart rate, respiration rate, and blood oxygen levels.

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. New Generative AI App Measures Vital Signs Through A Selfie https://hitconsultant.net/2023/06/20/new-generative-ai-app-measures-vital-signs-through-a-selfie/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7TZ0sDH0LQo2EQF2B1Izs0zpQyHHZ", "object": "chat.completion", "created": 1687280458, "model": "gpt-3.5-turbo-0301", "usage": { "prompt_tokens": 180, "completion_tokens": 150, "total_tokens": 330 }, "choices": [ { "message": { "role": "assistant", "content": "#NewGenerativeAIApp: Measures Vital Signs Through A SelfiennA new generative AI app has been developed that can measure vital signs through a selfie. The app uses artificial intelligence to analyze changes in skin color and blood flow in the face to determine heart rate, respiration rate, and blood oxygen levels. This technology has the potential to revolutionize healthcare by allowing for remote monitoring of patients' vital signs without the need for invasive or uncomfortable devices.nn#HowItWorksnnThe app works by analyzing the video feed from a smartphone camera and using machine learning algorithms to identify changes in skin color and blood flow in the face. These changes are then used to calculate vital signs such as heart rate, respiration rate, and blood oxygen levels." }, "finish_reason": "length", "index": 0 } ] }

Prompt Tokens - 180
Completion Tokens - 150
Total Tokens - 330

What You Should Know:Mindpeak, a leading provider of artificial intelligence (AI) for pathology, and Proscia®, a leading provider of digital and computational pathology solutions, have announced a partnership to broaden access to improved diagnosis for cancer...

#Pathology and #CancerDiagnosis are set to improve with the partnership between Mindpeak and Proscia, two healthcare technology companies. The partnership will integrate Mindpeak's AI-powered diagnostic platform with Proscia's digital pathology platform to provide more accurate and efficient cancer diagnoses. The combined platform will use AI algorithms to analyze pathology images and identify cancerous cells, reducing the risk of misdiagnosis and improving patient outcomes. The partnership is expected to benefit both patients and healthcare providers by increasing diagnostic accuracy and reducing costs. The integration of these two platforms is a significant step forward in the use of AI in healthcare and has the potential to revolutionize cancer diagnosis.

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Pathology: Mindpeak, Proscia Partner To Improve Cancer Diagnosis https://hitconsultant.net/2023/06/20/pathology-mindpeak-proscia-partner-to-improve-cancer-diagnosis/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7TZ0jK4xNs4jdDcGR7BLB8s1vWbpK", "object": "chat.completion", "created": 1687280449, "model": "gpt-3.5-turbo-0301", "usage": { "prompt_tokens": 183, "completion_tokens": 133, "total_tokens": 316 }, "choices": [ { "message": { "role": "assistant", "content": "#Pathology and #CancerDiagnosis are set to improve with the partnership between Mindpeak and Proscia, two healthcare technology companies. The partnership will integrate Mindpeak's AI-powered diagnostic platform with Proscia's digital pathology platform to provide more accurate and efficient cancer diagnoses. The combined platform will use AI algorithms to analyze pathology images and identify cancerous cells, reducing the risk of misdiagnosis and improving patient outcomes. The partnership is expected to benefit both patients and healthcare providers by increasing diagnostic accuracy and reducing costs. The integration of these two platforms is a significant step forward in the use of AI in healthcare and has the potential to revolutionize cancer diagnosis." }, "finish_reason": "stop", "index": 0 } ] }

Prompt Tokens - 183
Completion Tokens - 133
Total Tokens - 316

One of the big challenges ambulatory practices face today is how to navigate the increasingly complicated world of population including things like HEDIS scores.  The good news is that the opportunity to do population...

#Navigating Population Health Data and HEDIS in an Ambulatory PracticeHealthcare providers are increasingly using population health data to improve patient outcomes and reduce healthcare costs. However, navigating this data can be challenging, especially for ambulatory practices. This blog post explores how ambulatory practices can effectively navigate population health data and use the Healthcare Effectiveness Data and Information Set (HEDIS) to improve patient care.#Understanding Population Health DataPopulation health data refers to information about a group of patients that can be used to identify health trends and patterns. Ambulatory practices can use this data to improve patient outcomes by identifying high-risk patients and implementing targeted interventions. However, navigating this data can be challenging, as it often comes from multiple sources and may

As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Navigating Population Health Data and HEDIS in an Ambulatory Practice | Healthcare IT Today https://www.healthcareittoday.com/2023/06/20/navigating-population-health-data-and-hedis-in-an-ambulatory-practice/
Model - gpt-3.5-turbo
Role - user
Temperature - 0.4
Maximum Tokens - 150

{ "id": "chatcmpl-7TY4JSvJDvVSnoIFkkQSxMLviFBG7", "object": "chat.completion", "created": 1687276827, "model": "gpt-3.5-turbo-0301", "usage": { "prompt_tokens": 190, "completion_tokens": 150, "total_tokens": 340 }, "choices": [ { "message": { "role": "assistant", "content": "#Navigating Population Health Data and HEDIS in an Ambulatory PracticennHealthcare providers are increasingly using population health data to improve patient outcomes and reduce healthcare costs. However, navigating this data can be challenging, especially for ambulatory practices. This blog post explores how ambulatory practices can effectively navigate population health data and use the Healthcare Effectiveness Data and Information Set (HEDIS) to improve patient care.nn#Understanding Population Health DatannPopulation health data refers to information about a group of patients that can be used to identify health trends and patterns. Ambulatory practices can use this data to improve patient outcomes by identifying high-risk patients and implementing targeted interventions. However, navigating this data can be challenging, as it often comes from multiple sources and may" }, "finish_reason": "length", "index": 0 } ] }

Prompt Tokens - 190
Completion Tokens - 150
Total Tokens - 340