# Medical Datasets * **Definition:** Collections of structured or unstructured data related to patient health, clinical outcomes, medical imaging, genomic information, or healthcare operations, used for research, analysis, and decision-making in healthcare and healthcare technology. * **Taxonomy:** CTO Topics / Medical Datasets ## News * Selected news on the topic of **Medical Datasets**, for healthcare technology leaders * 1.1K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/23/2025 | [**AI models need to be built on more complete and global datasets - Healthcare IT News**](https://www.healthcareitnews.com/news/ai-models-need-be-built-more-complete-and-global-datasets) | [[Healthcare IT News]] | | 4/23/2025 | [**The Healthcare of the Future Runs on LLMs - And It's Already Here - Morningstar**](https://www.morningstar.com/news/accesswire/1018814msn/the-healthcare-of-the-future-runs-on-llms-and-its-already-here) | [[Morningstar]] | | 4/14/2025 | [**Who Owns Your Medical Data?**](https://www.news-medical.net/health/Who-Owns-Your-Medical-Data.aspx) | [[News Medical Net]] | | 3/24/2025 | [**'Meat computers,' ambient AI akers: What 65 leaders are investing in this year**](https://www.beckershospitalreview.com/hit-speaker-series-q-a/meat-computers-ambient-ai-coffee-makers-what-64-leaders-are-investing-in-this-year/) | [[Beckers Hospital Review]] | | 3/9/2025 | [**AI in Healthcare: Minimum Requirements to Enter the Field - Medium**](https://medium.com/@hiya31/ai-in-healthcare-minimum-requirements-to-enter-the-field-eb76bf824895) | [[Medium]] | | 3/1/2025 | [**The Promise and Pitfalls of Digital Twins in Healthcare - by The Immersive Nurse - Medium**](https://medium.com/@TheImmersiveNurse/the-promise-and-pitfalls-of-digital-twins-in-healthcare-b30a21ab10e8) | [[Medium]] | | 2/18/2025 | [**Fangzhou Inc. integrates DeepSeek open-source AI Model to enhance Internet healthcare**](https://www.prnewswire.com/news-releases/fangzhou-inc-integrates-deepseek-open-source-ai-model-to-enhance-internet-healthcare-302378886.html) | [[PR Newswire]] | | 1/30/2025 | [**Healthcare API Strategic Market Research Report 2024-2030 - Yahoo Finance**](https://finance.yahoo.com/news/healthcare-api-strategic-market-research-145100616.html) | [[Yahoo Finance]] | | 1/13/2025 | [**EHR Innovations That Should Be Happening But Aren't**](https://www.healthcareittoday.com/2025/01/13/ehr-innovations-that-should-be-happening-but-arent/) | [[Healthcare IT Today]] | | 1/12/2025 | [**Hyperautomation in Healthcare: Transforming IT with Benefits and Risks**](https://hitconsultant.net/2025/01/13/hyperautomation-in-healthcare-transforming-it-with-benefits-and-risks/) | [[HIT Consultant]] | | 1/12/2025 | [**The Role of Multimodal Security in Protecting Critical Healthcare Data**](https://hitconsultant.net/2025/01/13/role-of-multimodal-security-in-protecting-critical-healthcare-data/) | [[HIT Consultant]] | | 1/8/2025 | [**The Data Dilemma: How It's Costing Health Systems Millions - HealthLeaders Media**](https://www.healthleadersmedia.com/data-dilemma-how-its-costing-health-systems-millions) | [[HealthLeaders Media]] | | 1/8/2025 | [**The Data Dilemma: How It's Costing Health Systems Millions - HealthLeaders Media**](https://www.healthleadersmedia.com/data-dilemma-how-it%E2%80%99s-costing-health-systems-millions) | [[HealthLeaders Media]] | | 12/17/2024 | [**Healthcare Organizations Can Begin Taking Advantage of Generative AI Now**](https://healthtechmagazine.net/article/2024/12/healthcare-organizations-can-begin-taking-advantage-generative-ai-now) | [[HealthTech Magazine]] | | 12/1/2024 | [**Bayer Showcases Growing Radiology Portfolio at RSNA 2024 - Business Wire**](https://www.businesswire.com/news/home/20241201662413/en/Bayer-Showcases-Growing-Radiology-Portfolio-at-RSNA-2024) | [[Business Wire]] | | 12/1/2024 | [**Bayer Showcases Growing Radiology Portfolio at RSNA 2024**](http://www.businesswire.com/news/home/20241201662413/en/Bayer-Showcases-Growing-Radiology-Portfolio-at-RSNA-2024/?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 12/1/2024 | [**Bayer Showcases Growing Radiology Portfolio at RSNA 2024**](http://www.businesswire.com/news/home/20241201662413/en/Bayer-Showcases-Growing-Radiology-Portfolio-at-RSNA-2024/?feedref=JjAwJuNHiystnCoBq_hl-Q-tiwWZwkcswR1UZtV7eGe24xL9TZOyQUMS3J72mJlQ7fxFuNFTHSunhvli30RlBNXya2izy9YOgHlBiZQk2LOzmn6JePCpHPCiYGaEx4DL1Rq8pNwkf3AarimpDzQGuQ==) | [[Business Wire]] | | 12/1/2024 | [**Bayer Showcases Growing Radiology Portfolio at RSNA 2024**](https://www.businesswire.com/news/home/20241201662413/en/Bayer-Showcases-Growing-Radiology-Portfolio-at-RSNA-2024/) | [[Business Wire]] | | 11/21/2024 | [**Securing Healthcare: The Urgent Need for Cyber Resilience**](https://www.healthitanswers.net/securing-healthcare-the-urgent-need-for-cyber-resilience/) | [[Health IT Answers]] | | 11/20/2024 | [**Verisma Acquires Olah, Streamlining Patient Data Management for Hospitals and Healthcare Facilities Nationwide**](http://www.businesswire.com/news/home/20241120169541/en/Verisma-Acquires-Olah-Streamlining-Patient-Data-Management-for-Hospitals-and-Healthcare-Facilities-Nationwide/?feedref=JjAwJuNHiystnCoBq_hl-Q-tiwWZwkcswR1UZtV7eGe24xL9TZOyQUMS3J72mJlQ7fxFuNFTHSunhvli30RlBNXya2izy9YOgHlBiZQk2LOzmn6JePCpHPCiYGaEx4DL1Rq8pNwkf3AarimpDzQGuQ==) | [[Business Wire]] | | 10/3/2024 | [**The future of AI is what healthcare organisations make it**](https://www.healthcareitnews.com/news/asia/future-ai-what-healthcare-organisations-make-it) | [[Healthcare IT News]] | | 9/20/2024 | [**Blockchain in Healthcare Market Expected to be Valued US$17.6 Billion by 2031 - WhaTech**](https://www.whatech.com/og/markets-research/medical/884623-blockchain-in-healthcare-market-expected-to-be-valued-us-17-6-billion-by-2031.html) | whatech.com | | 9/19/2024 | [**How genAI can help solve major pain points in the rev cycle - Healthcare IT News**](https://www.healthcareitnews.com/news/how-genai-can-help-solve-major-pain-points-rev-cycle) | [[Healthcare IT News]] | | 8/14/2024 | [**How does your organization address interoperability issues to ensure efficient clinical workflows across different systems and platforms?**](https://www.healthtechmagazines.com/how-does-your-organization-address-interoperability-issues-to-ensure-efficient-clinical-workflows-across-different-systems-and-platforms/) | [[Health Tech Magazines]] | | 7/7/2024 | [**AI Has The Power To Transform Healthcare Cyber Scurity**](https://www.cybersecurityintelligence.com/blog/ai-has-the-power-to-transform-healthcare-cyber-scurity-7761.html) | cybersecurityintelligence.com | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **OneMedNet Corporation**: A company providing comprehensive management of clinical data types through its proprietary iRWD platform. - **Yidu Tech**: A technology company leveraging AI for healthcare analytics and management, processing billions of medical records. - **Atropos Health**: A healthcare data network that trains AI models on real-world data to improve patient outcomes. - **Amazon One Medical**: Developed AI tools to streamline clinician workflows and improve patient experiences using its proprietary EHR system. - **Microsoft**: A technology company that has introduced AI capabilities for healthcare organizations, enhancing medical data analysis and patient care. - **OpenClinica**: A provider of solutions for clinical research, including a mobile app that allows patients to share health records directly. - **Dyania Health**: An AI-powered healthcare data company focused on improving healthcare data management and clinical research through its Synapsis AI platform. - **ModMed**: A leader in healthcare technology enhancing provider engagement with EHR through AI ambient listening technology. - **Oracle Corporation**: A technology company focused on providing database solutions to address the fragmented healthcare database crisis in the U.S., enhancing the integration of medical datasets. - **Avandra**: A startup that launched a federated network for de-identified medical imaging and clinical data to create a data ecosystem for research. - **Meditech**: A healthcare technology company that partnered with Health Gorilla to enhance health information exchange. - **Corti**: A company developing specialized AI models for healthcare to improve efficiency and reliability. - **TriNetX**: A company that utilizes anonymized electronic health record data to enhance clinical trials and drug development. - **Guardant Health**: A company collaborating with ConcertAI to create a Data-as-a-Service platform for cancer therapy research. - **Movano Health**: A healthcare technology company developing innovative wearable devices for remote patient monitoring, aiming to provide medical-grade data. - **Amazon Web Services (AWS)**: Cloud service provider collaborating with healthcare companies to enhance data management and diagnostics. - **NYU Langone Health**: An academic medical center that has established a Health Informatics department to leverage emerging technologies like generative AI for improved healthcare delivery. - **b.well Connected Health**: A company that launched an AI architecture integrated into its FHIR-based platform to enhance healthcare ecosystems. - **Royal Philips**: A healthcare technology company collaborating with AWS to offer integrated diagnostics in the cloud. ### Partnerships and Collaborations - **Microsoft and Providence**: Collaboration to develop foundational models for medical imaging, integrating various data types for healthcare organizations. - **Guardant Health and ConcertAI**: Collaboration to create a Data-as-a-Service platform integrating clinical and tumor profiling data. - **Meditech and Health Gorilla**: Partnership to improve health information exchange. - **Carta Healthcare and Realyze Intelligence**: Acquisition aimed at improving clinical data utilization and patient matching for clinical trials. - **Bayer and Google Cloud**: Collaboration to develop an AI Innovation Platform for medical imaging applications. - **IBM Watson and Indian Hospitals**: Collaboration to enhance oncology solutions using AI. - **Dyania Health and HealthX Ventures**: Dyania Health closed a $10 million Series A funding round to enhance healthcare data management. - **TriNetX and Fujitsu**: A partnership to establish TriNetX Japan K.K. to enhance clinical trials and drug development using anonymized health data. - **United Digestive and Gifthealth**: Teamed up to improve patient care and streamline preparation for gastrointestinal procedures. - **Movano Health and Dr. Shaheen Wirk**: Collaboration to drive healthcare innovation, particularly following the FDA approval of the EvieMED Ring for remote patient monitoring. - **Verisma and Olah Healthcare Technology**: Verisma's acquisition of Olah aims to improve patient data management and regulatory compliance. - **Humana and IBM Watson Health**: Collaboration to provide AI-powered digital assistant services to enhance member access to healthcare information. - **Washington Gastroenterology and WovenX Health**: Collaborated to utilize telehealth services for on-demand support for GI patients. - **Bracco Diagnostics and ColoWatch**: Partnered to enhance colorectal cancer screenings through virtual colonoscopy solutions. - **Royal Philips and AWS**: Expanded collaboration to deliver cloud-based integrated diagnostics solutions. - **Fujifilm and Karl Storz**: Signed a partnership agreement to jointly market flexible gastrointestinal endoscopes. ### Innovations, Trends, and Initiatives - **Synthetic Data Solutions**: Emerging methods to simulate patient populations while safeguarding privacy, addressing the demand for innovative data generation in healthcare. - **Corti's Specialized AI Models**: Development of AI models trained exclusively on healthcare data to enhance efficiency and reliability in medical settings. - **Atropos Evidence Network**: The largest federated healthcare data network enabling AI model training on real-world data. - **Digital Twins**: Emerging technology for personalized medicine and surgical outcomes, leveraging data from IoMT devices and AI. - **Healthcare APIs**: Facilitating seamless data exchange among electronic health records and wearable devices, improving care delivery. - **Federated Learning**: An innovative model essential for fostering healthcare innovation while addressing privacy concerns. - **OpenClinica Share**: A mobile app that allows patients to share health records for clinical research, reducing administrative burdens. - **Healthcare Predictive Analytics Market**: Projected to grow significantly, driven by the adoption of electronic health records (EHRs), advancements in AI and machine learning, and a focus on value-based care. - **BioChatter**: An open-source framework for deploying large language models in biomedical research. - **Blockchain in Healthcare**: Expected to grow rapidly, enhancing data security and interoperability in healthcare data management. - **AI in Healthcare**: AI is being used to enhance diagnostic accuracy, personalize treatment plans, and optimize resource management. - **Generative AI**: Emerging as a transformative technology in healthcare, improving data strategies and operational efficiencies. - **Homomorphic Encryption (HE)**: Utilized in a study to enhance predictive capabilities of AI models while safeguarding patient data privacy. - **Real-World Evidence (RWE)**: Increasingly used in regulatory and health technology assessments to supplement clinical trial data. - **eClinical Solutions Market Growth**: Projected to grow significantly, driven by the adoption of electronic data capture and clinical data management systems. - **AI in Clinical Trials**: AI advancements are enhancing patient recruitment and treatment processes, improving data accuracy and clinical trial efficiency. - **AI in Oncology**: The market is projected to grow significantly, driven by the rising incidence of cancer and advancements in AI algorithms. - **AI-Powered Chatbots**: Implemented by healthcare providers like Apollo Hospitals to streamline administrative tasks. ### Challenges and Concerns - **Data Quality and Compliance**: Challenges in ensuring high-quality datasets and regulatory compliance hinder the use of real-world data. - **Data Privacy and Security**: Critical issues in managing patient data, particularly with the integration of AI and big data in healthcare. - **Patient Privacy**: Concerns regarding the security and potential re-identification of de-identified data in healthcare. - **Data Errors**: Hospitals face challenges due to data entry errors and lack of standardization, leading to costly inefficiencies and potential misdiagnoses. - **Data Privacy**: Concerns regarding the protection of patient data and the need for robust data protection frameworks. - **Diversity in Training Data**: A significant concern for regulatory approval and model performance in AI-driven drug discovery processes. - **Data Security**: Healthcare organizations face significant risks related to data breaches, which can compromise sensitive patient information and lead to legal liabilities. - **Data Accuracy and Management**: Challenges in ensuring data integrity and accuracy, particularly with remote monitoring and virtual trials. - **Patient Data Privacy**: Concerns about patient data privacy and the need for transparency in AI tool development are critical. - **Regulatory Compliance**: Navigating complex regulations associated with AI and data management in healthcare. - **Integration of AI**: Healthcare organizations face challenges in integrating AI capabilities into existing workflows due to a lack of robust data infrastructure. - **Data Quality**: AI's effectiveness is heavily reliant on the quality of data used for modeling, necessitating data cleansing and interoperability. - **Bias in AI Models**: There is a critical need to address potential biases in AI models to prevent exacerbating existing prejudices against disadvantaged groups in healthcare. - **Integration with Existing Systems**: Challenges in integrating AI technologies with current healthcare systems. - **Workflow Disruption**: Challenges related to the implementation of AI tools in established healthcare workflows. - **Talent Shortage**: A significant barrier to AI adoption in healthcare due to a lack of skilled professionals. - **Ethical Concerns**: The deployment of AI technologies raises ethical issues, particularly regarding data privacy and bias. - **Interoperability Issues**: The overwhelming number of standards and legacy systems hinder effective communication and data exchange among healthcare entities. - **Cybersecurity Risks**: Increased vulnerabilities to cyberattacks in healthcare organizations, necessitating robust security measures. - **Implementation Costs**: High costs associated with adopting new technologies like AI and blockchain in healthcare. ## Related Topics [[Clinical Data]]