When AI meets Healthcare - Cutting edge AI and cloud services for Healthcare

Health Science AI Models

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1. NVIDIA BioNeMo: This platform, hosted on NVIDIA DGX Cloud on Microsoft Azure, is designed for AIpowered drug discovery. It simplifies the training and deployment of models for drug discovery, accelerating the identification of potential drug candidates .

2. MONAI (Medical Open Network for AI): Developed by NVIDIA, MONAI is a framework for building, training, and deploying medical imaging AI models. It is widely used for creating highperformance medical imaging solutions integrated into clinical workflows

3. Amazon HealthScribe: A service that automates clinical documentation, allowing healthcare providers to focus more on patient care while ensuring comprehensive recordkeeping

4. AWS HealthOmics: Part of Amazon's offerings, this service leverages AI for analyzing genomic and clinical data, aiding in personalized medicine and genomics research

5. SOPHiA GENETICS DDM: This platform uses NVIDIA Parabricks for accelerated genomics analysis, providing a comprehensive solution for whole genome analysis, crucial for cancer and rare disease research

6. Nuance Precision Imaging Network: This network integrates AI models for medical imaging into clinical workflows, supporting improved diagnostics and patient care

7. BioMap: Utilized by Sanofi, this platform optimizes drug discovery processes through generative AI, showcasing significant advancements in biomedical research

8. Amazon HealthScribe and Amazon Bedrock:

? ? Amazon HealthScribe: Focuses on creating transcripts, extracting key details, and summarizing clinician patient interactions.

? ? Amazon Bedrock: Provides a variety of foundation models from different AI companies, customizable with healthcare specific data for applications like protein folding, drug discovery, and medical image interpretation

9. Google Cloud's MedLM:

? ? MedLM: A family of models finetuned for healthcare tasks such as chest Xray classification and condition summarization. These models are designed to assist in diagnostics and provide concise patient condition summaries with citations

?10. IBM Watson Health:

? ? Watson for Genomics: Assists in the analysis of genomic data to provide insights into cancer treatment options.

? ? Watson Assistant for Clinical Trials Matching: Helps match patients to clinical trials based on their health records and eligibility criteria

11. Microsoft Azure Health Bot:

? ? Azure Health Bot: Combines conversational AI with healthcare compliance features to provide personalized health information, symptom checking, and triage services

?12. PathAI:

? ? PathAI: Uses AI models to assist pathologists in diagnosing diseases from medical images, improving accuracy and efficiency in pathology workflows

These models and tools are designed to address various aspects of healthcare and life sciences, from clinical documentation and patient interaction to drug discovery and medical image analysis, helping improve efficiency, accuracy, and patient outcomes across the industry.

Health Science AI services

1. IBM Watson Health: This service uses AI to analyze vast amounts of health data to provide insights that can help healthcare providers make better clinical decisions, personalize patient care, and improve operational efficiencies.

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2. Google Health AI: Google is involved in numerous AIdriven healthcare projects, such as improving diagnostics through AIpowered imaging and developing tools for personalized medicine.

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3. Microsoft HealthVault: This service offers tools to store and manage health information, allowing patients and providers to track and analyze health data securely.

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4. Amazon HealthLake: A HIPAAeligible service that uses machine learning to extract meaningful information from unstructured health data, helping healthcare organizations streamline operations and improve patient outcomes.

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5. Salesforce Health Cloud: Integrates patient data to provide a comprehensive view of each patient, enabling more personalized care and improving patientprovider interactions

6. Bain & Company: Bain has highlighted how generative AI can drive productivity gains, improve patient experiences, and lower administrative costs in healthcare. This includes applications in biomedical research, drug development, and diagnostic equipment innovation

7. Insilico Medicine: Focused on AIdriven drug discovery, Insilico Medicine uses AI to develop treatments for diseases like idiopathic pulmonary fibrosis, showcasing the potential of AI in accelerating the drug development process

8. HCA Healthcare and Google Partnership: This collaboration uses AI to reduce documentation time and administrative costs, thereby decreasing clinician burnout and improving patient care delivery

Beyond AI, various cloud services cater to the healthcare and life sciences sectors, providing advanced solutions for data management, security, compliance, and operational efficiency.

1. Microsoft Cloud for Healthcare:

? ? Data Insights: Helps in unifying data and providing clinical and operational insights to improve healthcare delivery.

? ? Interoperability: Supports integration across the healthcare ecosystem, enhancing collaboration among providers, payors, and life sciences.

? ? Security and Compliance: Ensures data security with HIPAA compliance and other regulatory standards

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2. Amazon Web Services (AWS) for Healthcare:

? ? Scalability and Reliability: Offers extensive global infrastructure to support healthcare applications.

? ? AI and Machine Learning: Enhances patient care and operational efficiencies through data analytics and machine learning.

? ? Specific Solutions: Includes population health analytics, precision medicine, and electronic health record (EHR) integration

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3. IBM Cloud for Healthcare:

? ? Open and Secure Environment: Provides an enterprisegrade environment for secure data handling and compliance with HIPAA and other regulations.

? ? AI and Data Insights: Utilizes IBM Watson and other tools to improve decisionmaking and operational efficiency.

? ? Modernization and Integration: Supports the transition of legacy systems to cloudbased solutions while maintaining high security standards

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4. PwC Cloud Solutions:

? ? Digital Transformation: Focuses on industrywide transformation and techenabled business model reinvention.

? ? AI and Managed Services: Implements AI to optimize operations and patient care.

? ? Workforce and Delivery Models: Supports workforce transformation and adapts to changing patient expectations through digital delivery

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5. Google Cloud Healthcare API:

? ? Data Standardization: Supports healthcare data standards such as HL7, FHIR, and DICOM to enable seamless data exchange.

? ? AI and ML Capabilities: Enhances clinical and operational insights through advanced AI and machine learning tools.

? ? Compliance: Ensures compliance with healthcare regulations and provides robust security measures

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6. Oracle Health:

? ? EHR Integration: Offers solutions for integrating electronic health records (EHR) with cloud services to streamline clinical workflows.

? ? Population Health Management: Provides tools for analyzing population health data to improve patient outcomes and reduce costs.

? ? Data Security: Ensures data security and compliance with HIPAA and other healthcare regulations

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7. Salesforce Health Cloud:

? ? Patient Management: Provides a comprehensive view of patient data to enhance patient engagement and care coordination.

? ? Integration: Integrates with existing EHR systems and other healthcare applications.

? ? Data Security: Ensures data privacy and security, complying with healthcare regulations

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Here are several cloud services designed specifically for healthcare data management:

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1. Google Cloud Healthcare API:

? ? Provides tools for managing and analyzing healthcare data.

? ? Supports data formats like DICOM, HL7v2, and FHIR.

? ? Offers integration with BigQuery for analytics, and AutoML for machine learning applications

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2. Microsoft Azure Health Data Services:

? ? Enables the storage, management, and analysis of health data.

? ? Supports FHIR and DICOM standards, allowing for integration with electronic health records and imaging data.

? ? Integrates with Power BI for visualization and Azure Machine Learning for predictive analytics

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3. IBM Watson Health:

? ? Offers cloud based services for managing and analyzing healthcare data.

? ? Includes Watson Health Imaging and Watson for Genomics for specialized data analytics.

? ? Provides compliance with healthcare regulations and security standards

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4. Oracle Health Sciences Cloud:

? ? Provides a comprehensive suite of applications for clinical research and healthcare data management.

? ? Supports clinical trials, real world evidence, and health data analytics.

? ? Ensures compliance with regulatory standards and offers robust data security measures

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5. CitiusTech Healthcare Solutions:

? ? Partners with AWS to leverage HealthLake for patient data management and analytics.

? ? Focuses on transforming healthcare data into FHIR standards and integrating various data sources.

? ? Enhances patient care through comprehensive data analytics and machine learning models

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6. Clear DATA:

? ? Specializes in providing healthcare organizations with secure, HIPAA compliant cloud solutions.

? ? Offers services like Amazon Comprehend Medical, HealthLake, and Transcribe Medical for handling clinical data securely.

? ? Uses its Cyber Health platform to ensure continuous security and compliance across healthcare applications (https://www.cleardata.com/cspm/aws/).

?These services provide robust tools for handling, analyzing, and securing healthcare data, enabling organizations to improve patient care and streamline healthcare operations.

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Other Cloud services commonly used in healthcare:

?Cloud Infrastructure and Platforms

1. Amazon Web Services (AWS) ?Offers a wide range of services including storage, compute power, and databases, tailored for healthcare needs.

2. Microsoft Azure ?Provides healthcare specific solutions for patient engagement, data analytics, and regulatory compliance.

3. Google Cloud Platform (GCP) ?Offers healthcare solutions for data management, analytics, and machine learning.

4. IBM Cloud ?Focuses on AI and data solutions for healthcare, including Watson Health.

5. Oracle Cloud ?Provides infrastructure and applications for healthcare data management and ERP systems.

?Electronic Health Records (EHR) and Practice Management

6. Epic Systems ?Cloud based EHR and health management software.

7. Cerner ?Offers cloud based EHR and population health management.

8. Athenahealth ?Cloud based services for medical billing, practice management, and EHR.

9. Allscripts ?EHR and practice management software with cloud capabilities.

10. NextGen Healthcare ?Provides EHR, practice management, and revenue cycle management.

??Telehealth and Remote Monitoring

11. Teladoc Health ?Telehealth services including video consultations and remote monitoring.

12. Amwell ?Telehealth platform for video consultations and digital care delivery.

13. Doctor on Demand ?Virtual visits and telehealth services for primary care and mental health.

14. MDLive ?Telehealth services including virtual doctor visits and behavioral health.

15. Philips HealthSuite ?Cloud platform for remote patient monitoring and telehealth.

?Data Analytics and AI

16. IBM Watson Health ?AIdriven analytics and data solutions for healthcare.

17. Google Cloud Healthcare API ?Tools for interoperability and data analysis.

18. Microsoft Healthcare NExT ?AI and cloud computing for healthcare insights.

19. GE Health Cloud ?Data analytics and visualization for clinical data.

20. SAS Health Analytics ?Advanced analytics for healthcare data.

?Population Health Management

21. Health Catalyst ?Cloud based data analytics for population health management.

22. Enli Health Intelligence ?Population health management and value based care analytics.

23. Well centive (Philips) ?Population health management platform.

24. Optum ?Population health management and analytics.

25. IBM Phytel ?Patient engagement and population health management.

??Health Information Exchange (HIE)

26. Intersystems HealthShare ?Health information exchange platform.

27. Orion Health ?Cloud based HIE solutions.

28. eClinicalWorks Healow ?Health information exchange and patient engagement.

29. NextGen Health Data Hub ?HIE and interoperability solutions.

30. Cerner HIE Solutions ?Health information exchange and data interoperability.

??Imaging and Radiology

31. Intelerad ?Cloud based medical imaging solutions.

32. Ambra Health ?Cloud based image management and PACS.

33. Philips IntelliSpace PACS ?Imaging and radiology cloud solutions.

34. Siemens Healthineers Teamplay ?Cloud based imaging and analytics.

35. Sectra PACS ?Cloud based radiology and imaging services.

??Security and Compliance

36. ClearDATA ?Cloud services with a focus on healthcare compliance and security.

37. Datica ?Healthcare compliance solutions for cloud applications.

38. Imprivata ?Security and identity management for healthcare.

39. Palo Alto Networks ?Cybersecurity solutions for healthcare.

40. Zscaler ?Cloud security for healthcare data.

??Patient Engagement and Portal Solutions

41. MyChart (Epic) ?Patient portal for managing health records and communication.

42. Cerner HealtheLife ?Patient engagement and portal solutions.

43. Allscripts FollowMyHealth ?Cloud based patient portal.

44. Medfusion ?Patient portal and engagement tools.

45. NextGen Patient Portal ?Engagement and communication platform for patients.?

?Cloud Storage and Backup

46. Dropbox Business ?Secure file storage and sharing for healthcare.

47. Box ?Cloud storage with healthcare specific compliance.

48. Google Drive (G Suite) ?Secure storage and collaboration for healthcare.

49. Microsoft OneDrive ?Secure cloud storage for healthcare data.

50. Carbonite ?Cloud backup and data recovery solutions for healthcare.

?These cloud services cover a broad spectrum of healthcare needs, from infrastructure and data analytics to patient engagement and compliance.