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Model-guided therapy for hepatocellular carcinoma: a role for information technology in predictive, preventive and personalized medicine.

Berliner L, Lemke HU, vanSonnenberg E, Ashamalla H, Mattes MD, Dosik D, Hazin H, Shah S, Mohanty S, Verma S, Esposito G, Bargellini I, Battaglia V, Caramella D, Bartolozzi C, Morrison P - EPMA J (2014)

Bottom Line: We may, then, be able to develop a statistically valid methodology, on an individual basis, to predict certain diseases or conditions, to predict certain treatment outcomes, to prevent certain diseases or complications and to develop treatment regimens that are personalized for that particular patient.An IT system for predictive, preventive and personalized medicine (ITS-PM) for HCC is presented to provide a comprehensive system to provide unified access to general medical and patient-specific information for medical researchers and health care providers from different disciplines including hepatologists, gastroenterologists, medical and surgical oncologists, liver transplant teams, interventional radiologists and radiation oncologists.The article concludes with a review providing an outlook and recommendations for the application of MGT to enhance the medical management of HCC through PPPM.

View Article: PubMed Central - HTML - PubMed

Affiliation: New York Methodist Hospital, Brooklyn, NY 11215, USA ; Weill Medical College of Cornell University, New York, NY 10021, USA.

ABSTRACT
Predictive, preventive and personalized medicine (PPPM) may have the potential to eventually improve the nature of health care delivery. However, the tools required for a practical and comprehensive form of PPPM that is capable of handling the vast amounts of medical information that is currently available are currently lacking. This article reviews a rationale and method for combining and integrating diagnostic and therapeutic management with information technology (IT), in a manner that supports patients through their continuum of care. It is imperative that any program devised to explore and develop personalized health care delivery must be firmly rooted in clinically confirmed and accepted principles and technologies. Therefore, a use case, relating to hepatocellular carcinoma (HCC), was developed. The approach to the management of medical information we have taken is based on model theory and seeks to implement a form of model-guided therapy (MGT) that can be used as a decision support system in the treatment of patients with HCC. The IT structures to be utilized in MGT include a therapy imaging and model management system (TIMMS) and a digital patient model (DPM). The system that we propose will utilize patient modeling techniques to generate valid DPMs (which factor in age, physiologic condition, disease and co-morbidities, genetics, biomarkers and responses to previous treatments). We may, then, be able to develop a statistically valid methodology, on an individual basis, to predict certain diseases or conditions, to predict certain treatment outcomes, to prevent certain diseases or complications and to develop treatment regimens that are personalized for that particular patient. An IT system for predictive, preventive and personalized medicine (ITS-PM) for HCC is presented to provide a comprehensive system to provide unified access to general medical and patient-specific information for medical researchers and health care providers from different disciplines including hepatologists, gastroenterologists, medical and surgical oncologists, liver transplant teams, interventional radiologists and radiation oncologists. The article concludes with a review providing an outlook and recommendations for the application of MGT to enhance the medical management of HCC through PPPM.

No MeSH data available.


Related in: MedlinePlus

The structure of the therapy imaging and model management system (TIMMS). The TIMMS may provide much of the IT framework for personalized medicine. The Kernel for workflow and knowledge and decision management, the patient-specific models repository and the process models repository are the central components for the development of digital patient models through the process of patient-specific modeling. ICT information and communication technology; WF workflow; K + D knowledge and decision; Rep representation; Mechatr mechatronic.
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Figure 2: The structure of the therapy imaging and model management system (TIMMS). The TIMMS may provide much of the IT framework for personalized medicine. The Kernel for workflow and knowledge and decision management, the patient-specific models repository and the process models repository are the central components for the development of digital patient models through the process of patient-specific modeling. ICT information and communication technology; WF workflow; K + D knowledge and decision; Rep representation; Mechatr mechatronic.

Mentions: A therapy imaging and model management system (TIMMS) and its application as a surgical assist system for achieving MGT have been described[6,7]. A TIMMS is a comprehensive medical-surgical communication and assist system (Figure 2) that is composed of interconnected computer hardware and software components (such as engines, agents, repositories and IT infrastructure) and provides a wide variety of features and functions throughout the course of medical and surgical treatment. A TIMMS serves as a real-time knowledge management and decision support system, with central functions regulated by the Kernel for workflow and knowledge and decision management, promoting optimized diagnostic, prognostic and therapeutic decisions throughout the treatment workflow.


Model-guided therapy for hepatocellular carcinoma: a role for information technology in predictive, preventive and personalized medicine.

Berliner L, Lemke HU, vanSonnenberg E, Ashamalla H, Mattes MD, Dosik D, Hazin H, Shah S, Mohanty S, Verma S, Esposito G, Bargellini I, Battaglia V, Caramella D, Bartolozzi C, Morrison P - EPMA J (2014)

The structure of the therapy imaging and model management system (TIMMS). The TIMMS may provide much of the IT framework for personalized medicine. The Kernel for workflow and knowledge and decision management, the patient-specific models repository and the process models repository are the central components for the development of digital patient models through the process of patient-specific modeling. ICT information and communication technology; WF workflow; K + D knowledge and decision; Rep representation; Mechatr mechatronic.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4274760&req=5

Figure 2: The structure of the therapy imaging and model management system (TIMMS). The TIMMS may provide much of the IT framework for personalized medicine. The Kernel for workflow and knowledge and decision management, the patient-specific models repository and the process models repository are the central components for the development of digital patient models through the process of patient-specific modeling. ICT information and communication technology; WF workflow; K + D knowledge and decision; Rep representation; Mechatr mechatronic.
Mentions: A therapy imaging and model management system (TIMMS) and its application as a surgical assist system for achieving MGT have been described[6,7]. A TIMMS is a comprehensive medical-surgical communication and assist system (Figure 2) that is composed of interconnected computer hardware and software components (such as engines, agents, repositories and IT infrastructure) and provides a wide variety of features and functions throughout the course of medical and surgical treatment. A TIMMS serves as a real-time knowledge management and decision support system, with central functions regulated by the Kernel for workflow and knowledge and decision management, promoting optimized diagnostic, prognostic and therapeutic decisions throughout the treatment workflow.

Bottom Line: We may, then, be able to develop a statistically valid methodology, on an individual basis, to predict certain diseases or conditions, to predict certain treatment outcomes, to prevent certain diseases or complications and to develop treatment regimens that are personalized for that particular patient.An IT system for predictive, preventive and personalized medicine (ITS-PM) for HCC is presented to provide a comprehensive system to provide unified access to general medical and patient-specific information for medical researchers and health care providers from different disciplines including hepatologists, gastroenterologists, medical and surgical oncologists, liver transplant teams, interventional radiologists and radiation oncologists.The article concludes with a review providing an outlook and recommendations for the application of MGT to enhance the medical management of HCC through PPPM.

View Article: PubMed Central - HTML - PubMed

Affiliation: New York Methodist Hospital, Brooklyn, NY 11215, USA ; Weill Medical College of Cornell University, New York, NY 10021, USA.

ABSTRACT
Predictive, preventive and personalized medicine (PPPM) may have the potential to eventually improve the nature of health care delivery. However, the tools required for a practical and comprehensive form of PPPM that is capable of handling the vast amounts of medical information that is currently available are currently lacking. This article reviews a rationale and method for combining and integrating diagnostic and therapeutic management with information technology (IT), in a manner that supports patients through their continuum of care. It is imperative that any program devised to explore and develop personalized health care delivery must be firmly rooted in clinically confirmed and accepted principles and technologies. Therefore, a use case, relating to hepatocellular carcinoma (HCC), was developed. The approach to the management of medical information we have taken is based on model theory and seeks to implement a form of model-guided therapy (MGT) that can be used as a decision support system in the treatment of patients with HCC. The IT structures to be utilized in MGT include a therapy imaging and model management system (TIMMS) and a digital patient model (DPM). The system that we propose will utilize patient modeling techniques to generate valid DPMs (which factor in age, physiologic condition, disease and co-morbidities, genetics, biomarkers and responses to previous treatments). We may, then, be able to develop a statistically valid methodology, on an individual basis, to predict certain diseases or conditions, to predict certain treatment outcomes, to prevent certain diseases or complications and to develop treatment regimens that are personalized for that particular patient. An IT system for predictive, preventive and personalized medicine (ITS-PM) for HCC is presented to provide a comprehensive system to provide unified access to general medical and patient-specific information for medical researchers and health care providers from different disciplines including hepatologists, gastroenterologists, medical and surgical oncologists, liver transplant teams, interventional radiologists and radiation oncologists. The article concludes with a review providing an outlook and recommendations for the application of MGT to enhance the medical management of HCC through PPPM.

No MeSH data available.


Related in: MedlinePlus