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Sean Peisert - One of the best experts on this subject based on the ideXlab platform.

  • the Medical Science dmz a network design pattern for data intensive Medical Science
    Journal of the American Medical Informatics Association, 2018
    Co-Authors: Sean Peisert, Eli Dart, William K Barnett, Edward Balas, James Cuff, Robert L Grossman, Ari E Berman, Anurag Shankar, Brian Tierney
    Abstract:

    Author(s): Peisert, Sean; Dart, Eli; Barnett, William; Balas, Edward; Cuff, James; Grossman, Robert L; Berman, Ari; Shankar, Anurag; Tierney, Brian | Abstract: OBJECTIVE:We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, Medical context while still adhering to security and privacy laws and regulations. MATERIALS AND METHODS:High-end networking, packet-filter firewalls, network intrusion-detection systems. RESULTS:We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs. DISCUSSION:The exponentially increasing amounts of "omics" data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of bioMedical research "Big Data." The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for bioMedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical Sciences and engineering research to manage high-capacity data flows. CONCLUSION:By implementing a Medical Science DMZ architecture, bioMedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.

  • the Medical Science dmz
    Journal of the American Medical Informatics Association, 2016
    Co-Authors: Sean Peisert, Eli Dart, William K Barnett, Edward Balas, James Cuff, Ari E Berman, Anurag Shankar, Robert G Grossman, Brian Tierney
    Abstract:

    Objective We describe use cases and an institutional reference architecture for maintaining high-capacity, data-intensive network flows (e.g., 10, 40, 100 Gbps+) in a scientific, Medical context while still adhering to security and privacy laws and regulations. Materials and Methods High-end networking, packet filter firewalls, network intrusion detection systems. Results We describe a “Medical Science DMZ” concept as an option for secure, high-volume transport of large, sensitive data sets between research institutions over national research networks. Discussion The exponentially increasing amounts of “omics” data, the rapid increase of high-quality imaging, and other rapidly growing clinical data sets have resulted in the rise of bioMedical research “big data.” The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large data sets. Maintaining data-intensive flows that comply with HIPAA and other regulations presents a new challenge for bioMedical research. Recognizing this, we describe a strategy that marries performance and security by borrowing from and redefining the concept of a “Science DMZ”—a framework that is used in physical Sciences and engineering research to manage high-capacity data flows. Conclusion By implementing a Medical Science DMZ architecture, bioMedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.

Brian Tierney - One of the best experts on this subject based on the ideXlab platform.

  • the Medical Science dmz a network design pattern for data intensive Medical Science
    Journal of the American Medical Informatics Association, 2018
    Co-Authors: Sean Peisert, Eli Dart, William K Barnett, Edward Balas, James Cuff, Robert L Grossman, Ari E Berman, Anurag Shankar, Brian Tierney
    Abstract:

    Author(s): Peisert, Sean; Dart, Eli; Barnett, William; Balas, Edward; Cuff, James; Grossman, Robert L; Berman, Ari; Shankar, Anurag; Tierney, Brian | Abstract: OBJECTIVE:We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, Medical context while still adhering to security and privacy laws and regulations. MATERIALS AND METHODS:High-end networking, packet-filter firewalls, network intrusion-detection systems. RESULTS:We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs. DISCUSSION:The exponentially increasing amounts of "omics" data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of bioMedical research "Big Data." The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for bioMedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical Sciences and engineering research to manage high-capacity data flows. CONCLUSION:By implementing a Medical Science DMZ architecture, bioMedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.

  • the Medical Science dmz
    Journal of the American Medical Informatics Association, 2016
    Co-Authors: Sean Peisert, Eli Dart, William K Barnett, Edward Balas, James Cuff, Ari E Berman, Anurag Shankar, Robert G Grossman, Brian Tierney
    Abstract:

    Objective We describe use cases and an institutional reference architecture for maintaining high-capacity, data-intensive network flows (e.g., 10, 40, 100 Gbps+) in a scientific, Medical context while still adhering to security and privacy laws and regulations. Materials and Methods High-end networking, packet filter firewalls, network intrusion detection systems. Results We describe a “Medical Science DMZ” concept as an option for secure, high-volume transport of large, sensitive data sets between research institutions over national research networks. Discussion The exponentially increasing amounts of “omics” data, the rapid increase of high-quality imaging, and other rapidly growing clinical data sets have resulted in the rise of bioMedical research “big data.” The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large data sets. Maintaining data-intensive flows that comply with HIPAA and other regulations presents a new challenge for bioMedical research. Recognizing this, we describe a strategy that marries performance and security by borrowing from and redefining the concept of a “Science DMZ”—a framework that is used in physical Sciences and engineering research to manage high-capacity data flows. Conclusion By implementing a Medical Science DMZ architecture, bioMedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.

Dian Hanifah - One of the best experts on this subject based on the ideXlab platform.

  • Designing Reading Materials For ESP Students Vocational High School Of Medical Science
    International Journal for Educational and Vocational Studies, 2019
    Co-Authors: Fauzi, Dian Hanifah
    Abstract:

    The study attempted to design reading materials for Medical Science students at one of Vocational High Schools in Serang. To produce satisfactory teaching materials, the researchers conducted the following steps: doing needs analysis, reviewing the principles of materials design and reading in a foreign language, designing course framework, syllabus, the reading materials, and implementing the sample lessons. Researchers employed qualitative methods in gathering the data. The instruments used were questionnaire and interview. The questionnaire was addressed to students, alumni, teachers and institution. The interview was collected from the users. The needs analysis was carried out by distributing questionnaires. The result of needs analysis, became the basis for the researchers to design course framework. The course framework was then developed into a syllabus. Finally the syllabus became the basis for designing reading materials. Reading materials for Vocational High School applied a topical syllabus. Each lesson or unit discusses different topics, greeting and introduction. Introduction about nurse, health, dialogue between nurse and patient, eat healthy food, profile a nurse, tools, disease, nutrition, the healthy diet pyramid. Each lesson also adopted various reading skills or strategies. They were skimming, scanning, and guessing meaning from context. When the materials had been designed, the researchers implemented six out of ten lessons of the coursebook. The results were satisfactory. Most students mentioned that the coursebook was related to their field of study. The majority of the students said that the materials were understandable and interesting. They also said that they were satisfied with the reading materials

  • Designing Reading Materials For ESP Students Vocational High School of Medical Science
    Loquen: English Studies Journal, 2019
    Co-Authors: Fauzi, Dian Hanifah
    Abstract:

    The study attempted to design reading materials for Medical Science at one of Vocational High Schools Medical Science in Serang. To produce satisfactory teaching materials, the researchers did the following steps: doing needs analysis, reviewing the principles of materials design and reading in a foreign language, designing course framework, designing syllabus, designing the reading materials, and implementing the sample lessons. The researchers employed qualitative methods in gathering the data. The instruments used were questionnaire and interview. The questionnaire was addressed to students, alumni, teachers and institution. The interview was collected from the companies or users that have ever recruited the graduated students. The needs analysis was carried out by distributing questionnaires. The results were then analyzed. The result of needs analysis, became the basis for the researchers to design course framework. The course framework was then developed into a syllabus. Finally the syllabus became the basis for designing reading materials. The reading materials for Vocational High School Husada Pratama applied a topical syllabus. Each lesson or unit had different topics, greeting and introduction. Introduction about nurse, health, dioalogue conversation nurse and patient, eat healthy food, profile a nurse, tools, disease, nutrition, the healthy diet pyramid. Each lesson also adopted various reading skills or strategies. They were skimming, scanning, and guessing meaning from context. When the materials had been designed, the researchers implemented six out of ten lessons of the coursebook. The results were satisfactory. Most students mentioned that the coursebook was related to their field of study. The majority of the students also said that the materials were understandable and interesting. They also said that they were satisfied with the reading materials. Keywords: Reading materials, ESP, Reading skill

Anurag Shankar - One of the best experts on this subject based on the ideXlab platform.

  • the Medical Science dmz a network design pattern for data intensive Medical Science
    Journal of the American Medical Informatics Association, 2018
    Co-Authors: Sean Peisert, Eli Dart, William K Barnett, Edward Balas, James Cuff, Robert L Grossman, Ari E Berman, Anurag Shankar, Brian Tierney
    Abstract:

    Author(s): Peisert, Sean; Dart, Eli; Barnett, William; Balas, Edward; Cuff, James; Grossman, Robert L; Berman, Ari; Shankar, Anurag; Tierney, Brian | Abstract: OBJECTIVE:We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, Medical context while still adhering to security and privacy laws and regulations. MATERIALS AND METHODS:High-end networking, packet-filter firewalls, network intrusion-detection systems. RESULTS:We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs. DISCUSSION:The exponentially increasing amounts of "omics" data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of bioMedical research "Big Data." The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for bioMedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical Sciences and engineering research to manage high-capacity data flows. CONCLUSION:By implementing a Medical Science DMZ architecture, bioMedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.

  • the Medical Science dmz
    Journal of the American Medical Informatics Association, 2016
    Co-Authors: Sean Peisert, Eli Dart, William K Barnett, Edward Balas, James Cuff, Ari E Berman, Anurag Shankar, Robert G Grossman, Brian Tierney
    Abstract:

    Objective We describe use cases and an institutional reference architecture for maintaining high-capacity, data-intensive network flows (e.g., 10, 40, 100 Gbps+) in a scientific, Medical context while still adhering to security and privacy laws and regulations. Materials and Methods High-end networking, packet filter firewalls, network intrusion detection systems. Results We describe a “Medical Science DMZ” concept as an option for secure, high-volume transport of large, sensitive data sets between research institutions over national research networks. Discussion The exponentially increasing amounts of “omics” data, the rapid increase of high-quality imaging, and other rapidly growing clinical data sets have resulted in the rise of bioMedical research “big data.” The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large data sets. Maintaining data-intensive flows that comply with HIPAA and other regulations presents a new challenge for bioMedical research. Recognizing this, we describe a strategy that marries performance and security by borrowing from and redefining the concept of a “Science DMZ”—a framework that is used in physical Sciences and engineering research to manage high-capacity data flows. Conclusion By implementing a Medical Science DMZ architecture, bioMedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.

Ari E Berman - One of the best experts on this subject based on the ideXlab platform.

  • the Medical Science dmz a network design pattern for data intensive Medical Science
    Journal of the American Medical Informatics Association, 2018
    Co-Authors: Sean Peisert, Eli Dart, William K Barnett, Edward Balas, James Cuff, Robert L Grossman, Ari E Berman, Anurag Shankar, Brian Tierney
    Abstract:

    Author(s): Peisert, Sean; Dart, Eli; Barnett, William; Balas, Edward; Cuff, James; Grossman, Robert L; Berman, Ari; Shankar, Anurag; Tierney, Brian | Abstract: OBJECTIVE:We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, Medical context while still adhering to security and privacy laws and regulations. MATERIALS AND METHODS:High-end networking, packet-filter firewalls, network intrusion-detection systems. RESULTS:We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs. DISCUSSION:The exponentially increasing amounts of "omics" data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of bioMedical research "Big Data." The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for bioMedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical Sciences and engineering research to manage high-capacity data flows. CONCLUSION:By implementing a Medical Science DMZ architecture, bioMedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.

  • the Medical Science dmz
    Journal of the American Medical Informatics Association, 2016
    Co-Authors: Sean Peisert, Eli Dart, William K Barnett, Edward Balas, James Cuff, Ari E Berman, Anurag Shankar, Robert G Grossman, Brian Tierney
    Abstract:

    Objective We describe use cases and an institutional reference architecture for maintaining high-capacity, data-intensive network flows (e.g., 10, 40, 100 Gbps+) in a scientific, Medical context while still adhering to security and privacy laws and regulations. Materials and Methods High-end networking, packet filter firewalls, network intrusion detection systems. Results We describe a “Medical Science DMZ” concept as an option for secure, high-volume transport of large, sensitive data sets between research institutions over national research networks. Discussion The exponentially increasing amounts of “omics” data, the rapid increase of high-quality imaging, and other rapidly growing clinical data sets have resulted in the rise of bioMedical research “big data.” The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large data sets. Maintaining data-intensive flows that comply with HIPAA and other regulations presents a new challenge for bioMedical research. Recognizing this, we describe a strategy that marries performance and security by borrowing from and redefining the concept of a “Science DMZ”—a framework that is used in physical Sciences and engineering research to manage high-capacity data flows. Conclusion By implementing a Medical Science DMZ architecture, bioMedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.