The Philips Lung Cancer Orchestrator is an integrated lung cancer patient management system for both CT lung cancer screening programs and incidental pulmonary findings programs that monitors patients through various steps of their lung cancer screening and treatment decision journey. Enhancing confidence with automated tools, including operational analytics, the Lung Cancer Orchestrator helps identify and keep more patients – and streamline workflows. Providing a complete solution, the system also comes equipped with the multidisciplinary team facilitator to help coordinate collaborative clinical decision making.
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Features
Lung Cancer Screening Manager
Lung Cancer Screening Manager
The Lung Cancer Screening Manager utilizes a defined and proven set of steps to ensure the proper follow-up of screening examinations and diagnostic testing is completed on time. Results are then communicated to the participant, their primary care physician, and can be uploaded and documented in the Electronic Medical Record (EMR).
Lung Cancer Screening Manager
The Lung Cancer Screening Manager utilizes a defined and proven set of steps to ensure the proper follow-up of screening examinations and diagnostic testing is completed on time. Results are then communicated to the participant, their primary care physician, and can be uploaded and documented in the Electronic Medical Record (EMR).
Lung Cancer Screening Manager
The Lung Cancer Screening Manager utilizes a defined and proven set of steps to ensure the proper follow-up of screening examinations and diagnostic testing is completed on time. Results are then communicated to the participant, their primary care physician, and can be uploaded and documented in the Electronic Medical Record (EMR).
The Lung Cancer Screening Manager utilizes a defined and proven set of steps to ensure the proper follow-up of screening examinations and diagnostic testing is completed on time. Results are then communicated to the participant, their primary care physician, and can be uploaded and documented in the Electronic Medical Record (EMR).
Smooth Integration
Smooth integration
As lung cancer screening patients are progressing through their annual screenings and diagnostic follow-ups, the system captures required and optional data elements. Required data can be easily uploaded to the American College of Radiology (ACR) Lung Cancer Screening Registry (LCSR). With Integration into the EMR, data population within the Lung Cancer Screening Manager is fast and efficient, helping to reduce administrative tasks, and allowing more time for patient care.
Smooth integration
As lung cancer screening patients are progressing through their annual screenings and diagnostic follow-ups, the system captures required and optional data elements. Required data can be easily uploaded to the American College of Radiology (ACR) Lung Cancer Screening Registry (LCSR). With Integration into the EMR, data population within the Lung Cancer Screening Manager is fast and efficient, helping to reduce administrative tasks, and allowing more time for patient care.
Smooth integration
As lung cancer screening patients are progressing through their annual screenings and diagnostic follow-ups, the system captures required and optional data elements. Required data can be easily uploaded to the American College of Radiology (ACR) Lung Cancer Screening Registry (LCSR). With Integration into the EMR, data population within the Lung Cancer Screening Manager is fast and efficient, helping to reduce administrative tasks, and allowing more time for patient care.
As lung cancer screening patients are progressing through their annual screenings and diagnostic follow-ups, the system captures required and optional data elements. Required data can be easily uploaded to the American College of Radiology (ACR) Lung Cancer Screening Registry (LCSR). With Integration into the EMR, data population within the Lung Cancer Screening Manager is fast and efficient, helping to reduce administrative tasks, and allowing more time for patient care.
Incidental Nodule Manager
Incidental Nodule Manager
Philips Incidental Nodule Manager helps identify suspicious pulmonary findings in patients that might otherwise be overlooked. It uses Natural Language Processing to mine radiology reports for the relevant keywords to trigger referral for follow up, management and treatment. Using multiple methods for analysis and checking, Philips aims to help ensure patients are not lost to follow up.
Incidental Nodule Manager
Philips Incidental Nodule Manager helps identify suspicious pulmonary findings in patients that might otherwise be overlooked. It uses Natural Language Processing to mine radiology reports for the relevant keywords to trigger referral for follow up, management and treatment. Using multiple methods for analysis and checking, Philips aims to help ensure patients are not lost to follow up.
Incidental Nodule Manager
Philips Incidental Nodule Manager helps identify suspicious pulmonary findings in patients that might otherwise be overlooked. It uses Natural Language Processing to mine radiology reports for the relevant keywords to trigger referral for follow up, management and treatment. Using multiple methods for analysis and checking, Philips aims to help ensure patients are not lost to follow up.
Philips Incidental Nodule Manager helps identify suspicious pulmonary findings in patients that might otherwise be overlooked. It uses Natural Language Processing to mine radiology reports for the relevant keywords to trigger referral for follow up, management and treatment. Using multiple methods for analysis and checking, Philips aims to help ensure patients are not lost to follow up.
Automated patient management tools
Automated patient management tools
The system has the ability to enroll patients in a management protocol with automated notifications, reminders and status updates. Users can monitor and manage patient status using convenient and secure web-based tools.
Automated patient management tools
The system has the ability to enroll patients in a management protocol with automated notifications, reminders and status updates. Users can monitor and manage patient status using convenient and secure web-based tools.
Automated patient management tools
The system has the ability to enroll patients in a management protocol with automated notifications, reminders and status updates. Users can monitor and manage patient status using convenient and secure web-based tools.
The system has the ability to enroll patients in a management protocol with automated notifications, reminders and status updates. Users can monitor and manage patient status using convenient and secure web-based tools.
Operational analytics
Operational analytics
Operational analytics can help clinicians automatically capture the right dataand insightsto help stay ahead of potential problems while managing lung cancer screening and incidental findings programs. Lung cancer management can be complex. By collecting, viewing, and integrating data around diagnostic yield, cancer detection and outcomes we may simplify the workflow. Insight can also inform scientific research by capturing and sharing information around distributions of demographic data, tumors cell types and diagnostics.
Operational analytics
Operational analytics can help clinicians automatically capture the right dataand insightsto help stay ahead of potential problems while managing lung cancer screening and incidental findings programs. Lung cancer management can be complex. By collecting, viewing, and integrating data around diagnostic yield, cancer detection and outcomes we may simplify the workflow. Insight can also inform scientific research by capturing and sharing information around distributions of demographic data, tumors cell types and diagnostics.
Operational analytics
Operational analytics can help clinicians automatically capture the right dataand insightsto help stay ahead of potential problems while managing lung cancer screening and incidental findings programs. Lung cancer management can be complex. By collecting, viewing, and integrating data around diagnostic yield, cancer detection and outcomes we may simplify the workflow. Insight can also inform scientific research by capturing and sharing information around distributions of demographic data, tumors cell types and diagnostics.
Operational analytics can help clinicians automatically capture the right dataand insightsto help stay ahead of potential problems while managing lung cancer screening and incidental findings programs. Lung cancer management can be complex. By collecting, viewing, and integrating data around diagnostic yield, cancer detection and outcomes we may simplify the workflow. Insight can also inform scientific research by capturing and sharing information around distributions of demographic data, tumors cell types and diagnostics.
Collaborative multidisciplinary lung cancer tumor boards
Collaborative multidisciplinary lung cancer tumor boards
The Multidisciplinary Team Orchestrator helps streamline clinical decision making by giving multidisciplinary clinical teams the tools to schedule, prepare and manage tumor board reviews. It securely integrates clinical patient information from disparate sources including EMRs, lab systems, pathology, radiology, and genomics and creates one rich dashboard so clinicians can view their patient’s history and have quick access to relevant radiology and pathology images and reports. Its cloud-based implementation allows for multiple users to view patient’s data concurrently, and access wherever.
Collaborative multidisciplinary lung cancer tumor boards
The Multidisciplinary Team Orchestrator helps streamline clinical decision making by giving multidisciplinary clinical teams the tools to schedule, prepare and manage tumor board reviews. It securely integrates clinical patient information from disparate sources including EMRs, lab systems, pathology, radiology, and genomics and creates one rich dashboard so clinicians can view their patient’s history and have quick access to relevant radiology and pathology images and reports. Its cloud-based implementation allows for multiple users to view patient’s data concurrently, and access wherever.
Collaborative multidisciplinary lung cancer tumor boards
The Multidisciplinary Team Orchestrator helps streamline clinical decision making by giving multidisciplinary clinical teams the tools to schedule, prepare and manage tumor board reviews. It securely integrates clinical patient information from disparate sources including EMRs, lab systems, pathology, radiology, and genomics and creates one rich dashboard so clinicians can view their patient’s history and have quick access to relevant radiology and pathology images and reports. Its cloud-based implementation allows for multiple users to view patient’s data concurrently, and access wherever.
Collaborative multidisciplinary lung cancer tumor boards
Collaborative multidisciplinary lung cancer tumor boards
The Multidisciplinary Team Orchestrator helps streamline clinical decision making by giving multidisciplinary clinical teams the tools to schedule, prepare and manage tumor board reviews. It securely integrates clinical patient information from disparate sources including EMRs, lab systems, pathology, radiology, and genomics and creates one rich dashboard so clinicians can view their patient’s history and have quick access to relevant radiology and pathology images and reports. Its cloud-based implementation allows for multiple users to view patient’s data concurrently, and access wherever.
The Lung Cancer Screening Manager utilizes a defined and proven set of steps to ensure the proper follow-up of screening examinations and diagnostic testing is completed on time. Results are then communicated to the participant, their primary care physician, and can be uploaded and documented in the Electronic Medical Record (EMR).
Lung Cancer Screening Manager
The Lung Cancer Screening Manager utilizes a defined and proven set of steps to ensure the proper follow-up of screening examinations and diagnostic testing is completed on time. Results are then communicated to the participant, their primary care physician, and can be uploaded and documented in the Electronic Medical Record (EMR).
Lung Cancer Screening Manager
The Lung Cancer Screening Manager utilizes a defined and proven set of steps to ensure the proper follow-up of screening examinations and diagnostic testing is completed on time. Results are then communicated to the participant, their primary care physician, and can be uploaded and documented in the Electronic Medical Record (EMR).
The Lung Cancer Screening Manager utilizes a defined and proven set of steps to ensure the proper follow-up of screening examinations and diagnostic testing is completed on time. Results are then communicated to the participant, their primary care physician, and can be uploaded and documented in the Electronic Medical Record (EMR).
Smooth Integration
Smooth integration
As lung cancer screening patients are progressing through their annual screenings and diagnostic follow-ups, the system captures required and optional data elements. Required data can be easily uploaded to the American College of Radiology (ACR) Lung Cancer Screening Registry (LCSR). With Integration into the EMR, data population within the Lung Cancer Screening Manager is fast and efficient, helping to reduce administrative tasks, and allowing more time for patient care.
Smooth integration
As lung cancer screening patients are progressing through their annual screenings and diagnostic follow-ups, the system captures required and optional data elements. Required data can be easily uploaded to the American College of Radiology (ACR) Lung Cancer Screening Registry (LCSR). With Integration into the EMR, data population within the Lung Cancer Screening Manager is fast and efficient, helping to reduce administrative tasks, and allowing more time for patient care.
Smooth integration
As lung cancer screening patients are progressing through their annual screenings and diagnostic follow-ups, the system captures required and optional data elements. Required data can be easily uploaded to the American College of Radiology (ACR) Lung Cancer Screening Registry (LCSR). With Integration into the EMR, data population within the Lung Cancer Screening Manager is fast and efficient, helping to reduce administrative tasks, and allowing more time for patient care.
As lung cancer screening patients are progressing through their annual screenings and diagnostic follow-ups, the system captures required and optional data elements. Required data can be easily uploaded to the American College of Radiology (ACR) Lung Cancer Screening Registry (LCSR). With Integration into the EMR, data population within the Lung Cancer Screening Manager is fast and efficient, helping to reduce administrative tasks, and allowing more time for patient care.
Incidental Nodule Manager
Incidental Nodule Manager
Philips Incidental Nodule Manager helps identify suspicious pulmonary findings in patients that might otherwise be overlooked. It uses Natural Language Processing to mine radiology reports for the relevant keywords to trigger referral for follow up, management and treatment. Using multiple methods for analysis and checking, Philips aims to help ensure patients are not lost to follow up.
Incidental Nodule Manager
Philips Incidental Nodule Manager helps identify suspicious pulmonary findings in patients that might otherwise be overlooked. It uses Natural Language Processing to mine radiology reports for the relevant keywords to trigger referral for follow up, management and treatment. Using multiple methods for analysis and checking, Philips aims to help ensure patients are not lost to follow up.
Incidental Nodule Manager
Philips Incidental Nodule Manager helps identify suspicious pulmonary findings in patients that might otherwise be overlooked. It uses Natural Language Processing to mine radiology reports for the relevant keywords to trigger referral for follow up, management and treatment. Using multiple methods for analysis and checking, Philips aims to help ensure patients are not lost to follow up.
Philips Incidental Nodule Manager helps identify suspicious pulmonary findings in patients that might otherwise be overlooked. It uses Natural Language Processing to mine radiology reports for the relevant keywords to trigger referral for follow up, management and treatment. Using multiple methods for analysis and checking, Philips aims to help ensure patients are not lost to follow up.
Automated patient management tools
Automated patient management tools
The system has the ability to enroll patients in a management protocol with automated notifications, reminders and status updates. Users can monitor and manage patient status using convenient and secure web-based tools.
Automated patient management tools
The system has the ability to enroll patients in a management protocol with automated notifications, reminders and status updates. Users can monitor and manage patient status using convenient and secure web-based tools.
Automated patient management tools
The system has the ability to enroll patients in a management protocol with automated notifications, reminders and status updates. Users can monitor and manage patient status using convenient and secure web-based tools.
The system has the ability to enroll patients in a management protocol with automated notifications, reminders and status updates. Users can monitor and manage patient status using convenient and secure web-based tools.
Operational analytics
Operational analytics
Operational analytics can help clinicians automatically capture the right dataand insightsto help stay ahead of potential problems while managing lung cancer screening and incidental findings programs. Lung cancer management can be complex. By collecting, viewing, and integrating data around diagnostic yield, cancer detection and outcomes we may simplify the workflow. Insight can also inform scientific research by capturing and sharing information around distributions of demographic data, tumors cell types and diagnostics.
Operational analytics
Operational analytics can help clinicians automatically capture the right dataand insightsto help stay ahead of potential problems while managing lung cancer screening and incidental findings programs. Lung cancer management can be complex. By collecting, viewing, and integrating data around diagnostic yield, cancer detection and outcomes we may simplify the workflow. Insight can also inform scientific research by capturing and sharing information around distributions of demographic data, tumors cell types and diagnostics.
Operational analytics
Operational analytics can help clinicians automatically capture the right dataand insightsto help stay ahead of potential problems while managing lung cancer screening and incidental findings programs. Lung cancer management can be complex. By collecting, viewing, and integrating data around diagnostic yield, cancer detection and outcomes we may simplify the workflow. Insight can also inform scientific research by capturing and sharing information around distributions of demographic data, tumors cell types and diagnostics.
Operational analytics can help clinicians automatically capture the right dataand insightsto help stay ahead of potential problems while managing lung cancer screening and incidental findings programs. Lung cancer management can be complex. By collecting, viewing, and integrating data around diagnostic yield, cancer detection and outcomes we may simplify the workflow. Insight can also inform scientific research by capturing and sharing information around distributions of demographic data, tumors cell types and diagnostics.
Collaborative multidisciplinary lung cancer tumor boards
Collaborative multidisciplinary lung cancer tumor boards
The Multidisciplinary Team Orchestrator helps streamline clinical decision making by giving multidisciplinary clinical teams the tools to schedule, prepare and manage tumor board reviews. It securely integrates clinical patient information from disparate sources including EMRs, lab systems, pathology, radiology, and genomics and creates one rich dashboard so clinicians can view their patient’s history and have quick access to relevant radiology and pathology images and reports. Its cloud-based implementation allows for multiple users to view patient’s data concurrently, and access wherever.
Collaborative multidisciplinary lung cancer tumor boards
The Multidisciplinary Team Orchestrator helps streamline clinical decision making by giving multidisciplinary clinical teams the tools to schedule, prepare and manage tumor board reviews. It securely integrates clinical patient information from disparate sources including EMRs, lab systems, pathology, radiology, and genomics and creates one rich dashboard so clinicians can view their patient’s history and have quick access to relevant radiology and pathology images and reports. Its cloud-based implementation allows for multiple users to view patient’s data concurrently, and access wherever.
Collaborative multidisciplinary lung cancer tumor boards
The Multidisciplinary Team Orchestrator helps streamline clinical decision making by giving multidisciplinary clinical teams the tools to schedule, prepare and manage tumor board reviews. It securely integrates clinical patient information from disparate sources including EMRs, lab systems, pathology, radiology, and genomics and creates one rich dashboard so clinicians can view their patient’s history and have quick access to relevant radiology and pathology images and reports. Its cloud-based implementation allows for multiple users to view patient’s data concurrently, and access wherever.
Collaborative multidisciplinary lung cancer tumor boards
Collaborative multidisciplinary lung cancer tumor boards
The Multidisciplinary Team Orchestrator helps streamline clinical decision making by giving multidisciplinary clinical teams the tools to schedule, prepare and manage tumor board reviews. It securely integrates clinical patient information from disparate sources including EMRs, lab systems, pathology, radiology, and genomics and creates one rich dashboard so clinicians can view their patient’s history and have quick access to relevant radiology and pathology images and reports. Its cloud-based implementation allows for multiple users to view patient’s data concurrently, and access wherever.
Specifikationer
Software requirements
Software requirements
Windows Server
2016 (64 bit) (recommended), Windows Server 2012 R2 (64 bit)
.NET Framework
4.7.2 and above
Rhapsody
6.4.1
Supported databases, either local or remote
MS SQL 2012 - 64 bit – SP4
MS SQL 2014 - 64 bit – SP3
MS SQL Server 2016 – SP2 (recommended)
IIS (required for DECG Solution feature otherwise optional)
For Windows Server 2016 use IIS 10.0
For Windows Server 2012 R2 use IIS 8.0
PowerShell
4.0 and above
Hardware requirements
Hardware requirements
Processor
Dual Xeon 4 (or higher)
Processor Speed
3GHz processor
RAID Memory Cache
RAID 1
RAM
16 GB
Disk Array
500GB hard disk [15K RPM hard disk (x2)]
Power Supply
Dual
Operating System
64bit Hardware/64bit
Monitor
Display: 1024 x 768 Super VGA and with Video Card
LAN
1 Gbps
Keyboard
English Only
Browser
Browser
Internet Explorer
Internet Explorer 11.0
Software requirements
Software requirements
Windows Server
2016 (64 bit) (recommended), Windows Server 2012 R2 (64 bit)
