SafetyGauge is a patient safety reporting and evaluation system that addresses the federal requirement for hospitals to report adverse events. It allows for fast and easy reporting of safety events from mobile devices and computers. Reporters receive immediate feedback. The system integrates with electronic health records to retrieve patient data and allows safety officers to investigate events collaboratively with reporters. It is currently in alpha testing with the goal of improving safety and quality of care while ensuring compliance with regulations.
This document discusses health IT and clinical decision support (CDS) in Egypt. It describes a feedback loop model for CDS, using best practice guidelines, tailored health information for patients and populations, and real-time dashboards to monitor providers, populations, and individual patients. The document also outlines Penn Medicine's approach to implementing the "Five Rights" of CDS to improve outcomes: providing the right information to the right stakeholders in the right format through the right channels at the right point in the clinical workflow.
An intelligent monitoring system can significantly reduce the time spent investigating alarms from a native monitoring system. For a contact center with 1,000 agents and 100,000 calls per month, the native system would require over 1,000 hours per month to review all alarms. In contrast, an intelligent monitoring system reduces this to an average of just 8.81 hours per month by filtering alarms and providing contextual information. It can also reduce average downtime from over 2 days to under an hour for critical events detected by the intelligent system versus the native system.
This document discusses a new approach to healthcare security using a defense in depth strategy powered by VMware NSX. It notes that healthcare organizations are prime targets for large-scale security breaches due to the sensitive patient data they store. While organizations focus on regulatory compliance, advanced security measures are also needed. Leading healthcare IT teams are adopting software-defined and layered security solutions from VMware that safeguard infrastructure, applications, and devices beyond just compliance. The document examines capabilities like distributed firewalls, compliance, virtual desktops, automation, network efficiency and multi-location management that comprise best practice security frameworks.
This document presents a multi-agent system approach for clinical diagnosis. It proposes an algorithm for an intelligent medical diagnosis system called Clinical Diagnosis System (CDS) that uses multiple intelligent agents. The CDS architecture includes various agents like the User Agent, Master Agent, Specialist Doctor Agents, and Report Agent. The algorithm describes the step-by-step process of how a problem or symptom is input, analyzed, assigned to a specialist agent, diagnosed and reported back to the user. The proposed CDS system aims to provide an improved and user-friendly clinical diagnosis approach.
Advanced Analytics Systems for Smarter Benefits, Claims, and Entitlement Mana...IBM Government
This IBM white paper introduces the field of analytics, and discusses how analytics can be utilized in claims and benefits processing systems. It also provides an example of an advanced analytics system developed for the U.S. Social Security Administration.
This document discusses health IT and clinical decision support (CDS) in Egypt. It describes a feedback loop model for CDS, using best practice guidelines, tailored health information for patients and populations, and real-time dashboards to monitor providers, populations, and individual patients. The document also outlines Penn Medicine's approach to implementing the "Five Rights" of CDS to improve outcomes: providing the right information to the right stakeholders in the right format through the right channels at the right point in the clinical workflow.
An intelligent monitoring system can significantly reduce the time spent investigating alarms from a native monitoring system. For a contact center with 1,000 agents and 100,000 calls per month, the native system would require over 1,000 hours per month to review all alarms. In contrast, an intelligent monitoring system reduces this to an average of just 8.81 hours per month by filtering alarms and providing contextual information. It can also reduce average downtime from over 2 days to under an hour for critical events detected by the intelligent system versus the native system.
This document discusses a new approach to healthcare security using a defense in depth strategy powered by VMware NSX. It notes that healthcare organizations are prime targets for large-scale security breaches due to the sensitive patient data they store. While organizations focus on regulatory compliance, advanced security measures are also needed. Leading healthcare IT teams are adopting software-defined and layered security solutions from VMware that safeguard infrastructure, applications, and devices beyond just compliance. The document examines capabilities like distributed firewalls, compliance, virtual desktops, automation, network efficiency and multi-location management that comprise best practice security frameworks.
This document presents a multi-agent system approach for clinical diagnosis. It proposes an algorithm for an intelligent medical diagnosis system called Clinical Diagnosis System (CDS) that uses multiple intelligent agents. The CDS architecture includes various agents like the User Agent, Master Agent, Specialist Doctor Agents, and Report Agent. The algorithm describes the step-by-step process of how a problem or symptom is input, analyzed, assigned to a specialist agent, diagnosed and reported back to the user. The proposed CDS system aims to provide an improved and user-friendly clinical diagnosis approach.
Advanced Analytics Systems for Smarter Benefits, Claims, and Entitlement Mana...IBM Government
This IBM white paper introduces the field of analytics, and discusses how analytics can be utilized in claims and benefits processing systems. It also provides an example of an advanced analytics system developed for the U.S. Social Security Administration.
1. The document discusses a new support model called Integrated Systems Management (ISM) for networked medical devices that incorporates processes from asset management, risk management, systems management, and project management.
2. ISM and a software tool called CE-IT Live are presented as a way to help hospitals better manage and support the growing number of networked medical devices by automating identification, documentation, monitoring and remote support.
3. The adoption of integrated medical systems and networks creates new risks and responsibilities for healthcare providers that require redefining traditional medical equipment support through comprehensive programs like ISM that incorporate best practices from clinical engineering and IT.
10 Steps to Prepare for ICD-10
These 10 steps will help you get ready
for the transition to the ICD-10 code
sets. You may want to forward this
to those in your organization who are
working on this initiative.
For more information visit http://sites.mckesson.com/practiceconsulting/
World Health Care Congress - 21st Century Health System0090412scottshreeve
The document summarizes presentations from a World Health Care Congress on building the 21st century health system. Key points include:
- Kaiser Permanente's KP HealthConnect is the largest civilian deployment of an electronic health record system, covering 8.6 million members and 36 million records. It provides physicians and staff with complete, accessible, connected patient information.
- The Kaiser Permanente Collaborative Cardiac Care Service reduced all-cause mortality in enrolled patients by 89% through coordination among medical teams and programs.
- Kaiser Permanente's health IT vision is to create a system that is preventative, personalized, affordable and supports research through a networked, collaborative infrastructure.
- Crossover
This document discusses several issues regarding the implementation of Public Key Infrastructure (PKI) for healthcare settings, including:
- The need for standardized certificate policies and assurance levels to facilitate interoperability between healthcare organizations.
- Challenges of developing common certificate profiles given the flexibility and extensibility of the X.509 standard, which can lead to profile proliferation if not addressed.
- Managing user privileges and access controls for electronic medical records using attribute certificates and authorization APIs.
- Ensuring long-term access to electronic medical records stored using encryption keys from PKI certificates with finite validity periods.
The document provides background on these issues and makes recommendations to address interoperability, such as developing a model certificate policy for
Improve Patient Care and Reduce IT Costs with Vendor Neutral Archiving and Cl...EMC
This white paper discusses how vendor neutral archiving (VNA) combined with cloud storage on the EMC Atmos platform can help healthcare organizations improve patient care and reduce IT costs. By breaking down PACS silos and providing secure access to medical images from any device, VNA and cloud storage reduce storage and archive costs while enabling images to be accessed at the point of care. A case study is presented of how one healthcare network leveraged this approach to improve medical imaging workflows.
Big Data and Business Intelligence in HealthHealthXn
The document discusses how big data and business intelligence (BI) tools can unlock the potential of big data in healthcare. It notes that big data refers to large amounts of digital information stored in unstructured data repositories. New BI tools can organize and interpret this vast data, providing benefits for public health, research, patient care, and hospital operations. The author argues that properly utilizing big data through BI could reduce US healthcare expenditures by 8% and save governments over $100 billion annually in operational efficiencies.
Whitepaper : Building a disaster ready infrastructureJake Weaver
It’s not just hurricanes, fire or other natureal disasters that can bring a business to its knees. Everyday problems such as bad software, misconfigured networks, hardware failures or power outages are much more common. In fact, power failures accounted for nearly half of the declared disasters reported in a recent survey conducted by Forrester
The document provides an overview of Decision Lens, a decision-support software solution. It describes Decision Lens as a technique for collecting both qualitative and quantitative information from multiple sources to facilitate trade-off, prioritization and resource allocation decisions. The approach aims to quantify subjectivity in decision-making to make experience and judgment more effective. It works by facilitating consensus among leaders on criteria, providing a methodology to rank objectives, and generating portfolio analysis reports to inform decisions.
Finnish Information Security Cluster meeting on March 21st in Helsinki. IoT in healthcare and the various current and emerging cyber security risks IoT brings into healthcare environment, especially hospitals, and their security requirements and frameworks; includes some examples of dark web activity.
Industry veterans and newcomers come together at 2011 neurotech leaders forumSteve John
About 60 neurotechnology industry executives, investors, and entrepreneurs gathered in San Francisco earlier this month for the 11th annual Neurotech Leaders Forum, produced by Neurotech Reports, the publisher of this newsletter.
Cloud Platform for Remote Patient Monitoring. Case: Stroke Remote Care.pselonen
Presentation at AI morning in April 13th at Tampere University of Technology Kampusklubi.
"AI Morning in April 13th experiments with a new distinctive concept and remixes together machine learning and analytics in the two verticals of healthcare and industry! There is a huge common ground in diagnostics of people and machines, and the same algorithms can be used in both. The presenters from healthcare and industry keynote a conversational networking forum in theme: 'Health: analytics'."
See http://www.aiaamu.fi/
Collaborative Approaches for Medical Device & Healthcare CybersecurityDr Dev Kambhampati
This document provides the agenda for a two-day public workshop on collaborative approaches for medical device and healthcare cybersecurity held on October 21-22, 2014. The workshop was organized by the FDA's Center for Devices and Radiological Health, the Department of Homeland Security's C3 Voluntary Program, and the Department of Health and Human Services' Critical Infrastructure Protection Program. The agenda included keynote speakers, panels on envisioning collaboration, cyberthreat landscape, and cybersecurity gaps and challenges. It featured experts from government, industry, healthcare organizations, and standards bodies to discuss improving medical device and healthcare cybersecurity through collaboration.
The company was facing challenges in managing risk across its global operations due to a lack of consistent reporting, data analytics, and collaboration between teams. It implemented the MetricStream enterprise risk management platform to gain visibility into its entire risk profile, integrate fragmented risk initiatives, and identify and assess key risk exposures. The MetricStream solution automated reporting, enabled real-time data analysis, and provided tools to monitor and track risks, issues, and remediation efforts. This helped align the company's risk management activities with its corporate goals.
Shareable Ink Practice Cloud allows clinicians to populate electronic health records using digital pens and tablets. It captures handwritten notes and patient forms as discrete data in the Allscripts EHR. This maintains clinician productivity while transitioning to digital documentation. Specialties like dermatology benefit as documentation styles translate well. Patient forms can also auto-populate the EHR. The solution has been code complete and tested for Allscripts EHRs. It integrates via the Unified Access Interface and pulls/sends data between paper and EHR.
Netmagic helps you decide whether building a security operation center (SOC) or outsourcing it to an expert, is a better option to meet your organization's requirements.
1. The document discusses a new support model called Integrated Systems Management (ISM) for networked medical devices that incorporates processes from asset management, risk management, systems management, and project management.
2. ISM and a software tool called CE-IT Live are presented as a way to help hospitals better manage the growing number of networked medical devices by automating identification, documentation, and remote support capabilities.
3. The adoption of integrated medical systems and networks is changing how medical device support needs to be provided, and a new collaborative model between clinical engineering and IT departments using ISM and tools like CE-IT Live is presented as an effective way to address these new challenges.
- The document discusses implementing a new integrated systems management model for networked medical devices and systems.
- This new model incorporates best practices from asset management, risk management, systems management, and project management into a single framework.
- A software tool called CE-IT Live is introduced that allows hospitals to manage networked medical devices, automate data collection, monitor devices remotely, and create a knowledge base to improve service quality.
Innovation in Enterprise Imaging: Clinical Context is What's NextTodd Winey
Clinicians have one word for what they want from your next generation enterprise imaging solutions. Context. A recent study in the Journal of Digital Imaging suggests that nearly 60% of radiology orders have no mention of important chronic conditions, calling it “an alarming lack of communication” that “may negatively impact interpretation quality.” Imaging orders such as “chest pain” or “lower abdominal pain,” for example, are essentially context free, giving clinicians little information to work with. Access to a complete clinical history behind those orders can help clinicians provide richer input for more accurate diagnoses and more effective care plans, along with results of the imaging study.
E-clinical providers are fighting to reposition and re-assert themselves amid changing customer needs...article by Peter Mansell, interviewing Steve Kent, President of Parexel and Laurence Birch, Chairman of DATATRAK International. www.Pharmatimes.com
In the past decade, there has been a significant increase in the use of Data Monitoring
Committees (DMC) and Adaptive Designs (AD) in clinical trials. While the monitoring of safety
data by a formal committee is not required for all clinical trials, it has become the norm to have
a formal DMC conduct periodic safety reviews for any controlled trial that evaluates treatments
intended to prolong life or reduce risk of major adverse health outcomes, or for trials that
compare rates of mortality or major morbidity. Confirmatory, pivotal, and adaptive design trials
have more complex operational issues requiring an external and independent DMC. The DMC
may have access to unblinded interim data, be required to make expert recommendations
about how the trial should continue, and then ensure that planned adaptations are
implemented as outlined in the protocol without involving the sponsor or exposing it to
unblinded data or results.
This added complexity creates a challenge and a question: how can the DMC, statisticians, and
sponsor effectively communicate, share blinded and unblinded data, perform analyses, and
implement adaptations without introducing operational bias or compromising the integrity of
the trial? One solution is to utilize a sophisticated computer system that can provide the
security and necessary firewalls to ensure that interim data is only accessible to those it is
intended for, that the rules and processes outlined in the protocol and DMC charter are
enforced, and that communication between the DMC and sponsor is effectively facilitated while
protecting the integrity of the trial and preventing the introduction of operational bias.
The system must also provide an audit trail that tracks “who saw what and when” providing
evidence to regulatory authorities that the protocol was strictly followed with a minimal
possibility of bias. This white paper describes the computer system, ACES, which Cytel has built,
that makes all of this possible. ACES (Access Control Execution System) has been purpose-built
to address the operational complexities inherent in adaptive design and pivotal clinical trials.
1. The document discusses a new support model called Integrated Systems Management (ISM) for networked medical devices that incorporates processes from asset management, risk management, systems management, and project management.
2. ISM and a software tool called CE-IT Live are presented as a way to help hospitals better manage and support the growing number of networked medical devices by automating identification, documentation, monitoring and remote support.
3. The adoption of integrated medical systems and networks creates new risks and responsibilities for healthcare providers that require redefining traditional medical equipment support through comprehensive programs like ISM that incorporate best practices from clinical engineering and IT.
10 Steps to Prepare for ICD-10
These 10 steps will help you get ready
for the transition to the ICD-10 code
sets. You may want to forward this
to those in your organization who are
working on this initiative.
For more information visit http://sites.mckesson.com/practiceconsulting/
World Health Care Congress - 21st Century Health System0090412scottshreeve
The document summarizes presentations from a World Health Care Congress on building the 21st century health system. Key points include:
- Kaiser Permanente's KP HealthConnect is the largest civilian deployment of an electronic health record system, covering 8.6 million members and 36 million records. It provides physicians and staff with complete, accessible, connected patient information.
- The Kaiser Permanente Collaborative Cardiac Care Service reduced all-cause mortality in enrolled patients by 89% through coordination among medical teams and programs.
- Kaiser Permanente's health IT vision is to create a system that is preventative, personalized, affordable and supports research through a networked, collaborative infrastructure.
- Crossover
This document discusses several issues regarding the implementation of Public Key Infrastructure (PKI) for healthcare settings, including:
- The need for standardized certificate policies and assurance levels to facilitate interoperability between healthcare organizations.
- Challenges of developing common certificate profiles given the flexibility and extensibility of the X.509 standard, which can lead to profile proliferation if not addressed.
- Managing user privileges and access controls for electronic medical records using attribute certificates and authorization APIs.
- Ensuring long-term access to electronic medical records stored using encryption keys from PKI certificates with finite validity periods.
The document provides background on these issues and makes recommendations to address interoperability, such as developing a model certificate policy for
Improve Patient Care and Reduce IT Costs with Vendor Neutral Archiving and Cl...EMC
This white paper discusses how vendor neutral archiving (VNA) combined with cloud storage on the EMC Atmos platform can help healthcare organizations improve patient care and reduce IT costs. By breaking down PACS silos and providing secure access to medical images from any device, VNA and cloud storage reduce storage and archive costs while enabling images to be accessed at the point of care. A case study is presented of how one healthcare network leveraged this approach to improve medical imaging workflows.
Big Data and Business Intelligence in HealthHealthXn
The document discusses how big data and business intelligence (BI) tools can unlock the potential of big data in healthcare. It notes that big data refers to large amounts of digital information stored in unstructured data repositories. New BI tools can organize and interpret this vast data, providing benefits for public health, research, patient care, and hospital operations. The author argues that properly utilizing big data through BI could reduce US healthcare expenditures by 8% and save governments over $100 billion annually in operational efficiencies.
Whitepaper : Building a disaster ready infrastructureJake Weaver
It’s not just hurricanes, fire or other natureal disasters that can bring a business to its knees. Everyday problems such as bad software, misconfigured networks, hardware failures or power outages are much more common. In fact, power failures accounted for nearly half of the declared disasters reported in a recent survey conducted by Forrester
The document provides an overview of Decision Lens, a decision-support software solution. It describes Decision Lens as a technique for collecting both qualitative and quantitative information from multiple sources to facilitate trade-off, prioritization and resource allocation decisions. The approach aims to quantify subjectivity in decision-making to make experience and judgment more effective. It works by facilitating consensus among leaders on criteria, providing a methodology to rank objectives, and generating portfolio analysis reports to inform decisions.
Finnish Information Security Cluster meeting on March 21st in Helsinki. IoT in healthcare and the various current and emerging cyber security risks IoT brings into healthcare environment, especially hospitals, and their security requirements and frameworks; includes some examples of dark web activity.
Industry veterans and newcomers come together at 2011 neurotech leaders forumSteve John
About 60 neurotechnology industry executives, investors, and entrepreneurs gathered in San Francisco earlier this month for the 11th annual Neurotech Leaders Forum, produced by Neurotech Reports, the publisher of this newsletter.
Cloud Platform for Remote Patient Monitoring. Case: Stroke Remote Care.pselonen
Presentation at AI morning in April 13th at Tampere University of Technology Kampusklubi.
"AI Morning in April 13th experiments with a new distinctive concept and remixes together machine learning and analytics in the two verticals of healthcare and industry! There is a huge common ground in diagnostics of people and machines, and the same algorithms can be used in both. The presenters from healthcare and industry keynote a conversational networking forum in theme: 'Health: analytics'."
See http://www.aiaamu.fi/
Collaborative Approaches for Medical Device & Healthcare CybersecurityDr Dev Kambhampati
This document provides the agenda for a two-day public workshop on collaborative approaches for medical device and healthcare cybersecurity held on October 21-22, 2014. The workshop was organized by the FDA's Center for Devices and Radiological Health, the Department of Homeland Security's C3 Voluntary Program, and the Department of Health and Human Services' Critical Infrastructure Protection Program. The agenda included keynote speakers, panels on envisioning collaboration, cyberthreat landscape, and cybersecurity gaps and challenges. It featured experts from government, industry, healthcare organizations, and standards bodies to discuss improving medical device and healthcare cybersecurity through collaboration.
The company was facing challenges in managing risk across its global operations due to a lack of consistent reporting, data analytics, and collaboration between teams. It implemented the MetricStream enterprise risk management platform to gain visibility into its entire risk profile, integrate fragmented risk initiatives, and identify and assess key risk exposures. The MetricStream solution automated reporting, enabled real-time data analysis, and provided tools to monitor and track risks, issues, and remediation efforts. This helped align the company's risk management activities with its corporate goals.
Shareable Ink Practice Cloud allows clinicians to populate electronic health records using digital pens and tablets. It captures handwritten notes and patient forms as discrete data in the Allscripts EHR. This maintains clinician productivity while transitioning to digital documentation. Specialties like dermatology benefit as documentation styles translate well. Patient forms can also auto-populate the EHR. The solution has been code complete and tested for Allscripts EHRs. It integrates via the Unified Access Interface and pulls/sends data between paper and EHR.
Netmagic helps you decide whether building a security operation center (SOC) or outsourcing it to an expert, is a better option to meet your organization's requirements.
1. The document discusses a new support model called Integrated Systems Management (ISM) for networked medical devices that incorporates processes from asset management, risk management, systems management, and project management.
2. ISM and a software tool called CE-IT Live are presented as a way to help hospitals better manage the growing number of networked medical devices by automating identification, documentation, and remote support capabilities.
3. The adoption of integrated medical systems and networks is changing how medical device support needs to be provided, and a new collaborative model between clinical engineering and IT departments using ISM and tools like CE-IT Live is presented as an effective way to address these new challenges.
- The document discusses implementing a new integrated systems management model for networked medical devices and systems.
- This new model incorporates best practices from asset management, risk management, systems management, and project management into a single framework.
- A software tool called CE-IT Live is introduced that allows hospitals to manage networked medical devices, automate data collection, monitor devices remotely, and create a knowledge base to improve service quality.
Innovation in Enterprise Imaging: Clinical Context is What's NextTodd Winey
Clinicians have one word for what they want from your next generation enterprise imaging solutions. Context. A recent study in the Journal of Digital Imaging suggests that nearly 60% of radiology orders have no mention of important chronic conditions, calling it “an alarming lack of communication” that “may negatively impact interpretation quality.” Imaging orders such as “chest pain” or “lower abdominal pain,” for example, are essentially context free, giving clinicians little information to work with. Access to a complete clinical history behind those orders can help clinicians provide richer input for more accurate diagnoses and more effective care plans, along with results of the imaging study.
E-clinical providers are fighting to reposition and re-assert themselves amid changing customer needs...article by Peter Mansell, interviewing Steve Kent, President of Parexel and Laurence Birch, Chairman of DATATRAK International. www.Pharmatimes.com
In the past decade, there has been a significant increase in the use of Data Monitoring
Committees (DMC) and Adaptive Designs (AD) in clinical trials. While the monitoring of safety
data by a formal committee is not required for all clinical trials, it has become the norm to have
a formal DMC conduct periodic safety reviews for any controlled trial that evaluates treatments
intended to prolong life or reduce risk of major adverse health outcomes, or for trials that
compare rates of mortality or major morbidity. Confirmatory, pivotal, and adaptive design trials
have more complex operational issues requiring an external and independent DMC. The DMC
may have access to unblinded interim data, be required to make expert recommendations
about how the trial should continue, and then ensure that planned adaptations are
implemented as outlined in the protocol without involving the sponsor or exposing it to
unblinded data or results.
This added complexity creates a challenge and a question: how can the DMC, statisticians, and
sponsor effectively communicate, share blinded and unblinded data, perform analyses, and
implement adaptations without introducing operational bias or compromising the integrity of
the trial? One solution is to utilize a sophisticated computer system that can provide the
security and necessary firewalls to ensure that interim data is only accessible to those it is
intended for, that the rules and processes outlined in the protocol and DMC charter are
enforced, and that communication between the DMC and sponsor is effectively facilitated while
protecting the integrity of the trial and preventing the introduction of operational bias.
The system must also provide an audit trail that tracks “who saw what and when” providing
evidence to regulatory authorities that the protocol was strictly followed with a minimal
possibility of bias. This white paper describes the computer system, ACES, which Cytel has built,
that makes all of this possible. ACES (Access Control Execution System) has been purpose-built
to address the operational complexities inherent in adaptive design and pivotal clinical trials.
ACES is a computer system designed to facilitate communication and data sharing during clinical trials using adaptive designs or those with interim analyses. It provides security to ensure only authorized individuals can access interim data and implements audit trails to track access. ACES automates administrative tasks and stores documents, analyses, and trial records to help regulatory agencies ensure protocols were followed. It was used in a seamless phase 2/3 oncology trial to securely share interim analysis reports with the independent DMC and notify stakeholders of their recommendation while preventing unblinding of the sponsor. ACES aims to build trust in adaptive design trials by transparently demonstrating protocol adherence.
The document describes a proposed wearable device health care solution. Patients would subscribe to wear IoT devices on their chest and wrist that monitor health metrics. The devices would provide monthly health reports and dashboards accessible on mobile and PC. Hospitals tied to the solution would receive emergency alerts from the devices. The proposed turn-key solution would include technology, infrastructure, and capabilities to expand to other stakeholders like patients, doctors, hospitals, insurers, and pharmaceutical companies.
The document discusses key components of a Clinical Information System (CIS) including the Electronic Health Record (EHR). It describes the 8 components of an EHR, how clinical decision making systems work, considerations for safety, cost, and education. Clinical decision making systems use evidence-based practices and hierarchical approaches to determine diagnoses and treatment plans. Safety involves backing up data, protecting files from threats, and complying with privacy laws like HIPAA. Costs include purchasing, maintenance, training staff, and ongoing security and upgrades. Education of staff is important both initially and continuously as systems evolve.
This is a re-boot of a presentation originally given on the potential role of cloud infrastructure in healthcare delivery from eHealth Canada 2012.
Key concepts are the drivers of change in healthcare, how hospitals can protect themselves when using of cloud, the potential use of enterprise content management as part of healthcare delivery and the current models that we are seeing in Canada and the US.
Medic - Artificially Intelligent System for Healthcare Services ...IRJET Journal
This document describes an artificially intelligent system called Medic that aims to provide healthcare services using artificial intelligence technologies. Medic uses natural language processing, fuzzy logic, deep learning and a knowledge base to diagnose diseases from patients' descriptions of their symptoms. It can also recommend medical tests and prescriptions. The system architecture includes interfaces for patients and doctors, a central database, and image recognition and decision making modules. Convolutional neural networks are used for image-based disease identification. The goal of Medic is to make healthcare more accessible and affordable by providing services remotely using artificial intelligence.
DLIS has developed a business continuity plan to ensure operations continue in the event of an unplanned interruption or disaster. The plan identifies critical business functions and includes a warm site located 50 miles from headquarters with mirrored systems and minimum staffing. The plan will be tested regularly and updated as needed. Backup plans include upgrading the offsite facility with a large RAID server to hold all data backups and allowing continued operations through an encrypted VPN if headquarters has a failure.
Emerging technologies like smartphones, wearable devices, virtual reality, big data, and cloud computing are enabling a more connected global healthcare system. Smartphones provide personalized health information and tools like medical apps. Wearable devices allow for continuous, unobtrusive health monitoring. Virtual reality and 3D gaming can simulate real-world medical scenarios for education and training. Big data, machine learning, and cloud computing collectively support unlimited data storage, advanced analytics, and on-demand access and sharing of healthcare information on a global scale. These emerging technologies are helping to transition the world toward more informed, connected, and effective healthcare.
Accelerating Real-Time Analytics Insights Through Hadoop Open Source EcosystemDataWorks Summit
This document discusses accelerating real-time analytics through the Hadoop open source ecosystem. It highlights Intel's contributions to open source projects like Apache Hadoop and Apache Spark to drive mainstream adoption of advanced analytics. Real-time analytics can provide insights using data as it arrives rather than after it is stored. The document explores use cases for real-time analytics in healthcare, social media, and security and how Intel is working to accelerate solutions in these domains using its data platform and open source technologies.
IRJET- A Framework for Disease Risk PredictionIRJET Journal
This document presents a framework for disease risk prediction using machine learning techniques. It proposes using a convolutional neural network model for disease prediction. The system architecture includes an admin module for dataset management and file conversion, and a disease risk prediction module for prediction. The admin module allows uploading medical data, converting files to a compatible format, and performing predictions. The disease risk prediction module takes a test set, generates compatible files, and uses those files and a convolutional neural network for prediction. The goal is to develop an automated disease prediction system to help predict disease and improve healthcare.
Fluency - Next Generation Incident Response Utilizing Big Data Analytics Over...Collin Miles
Fluency’s vision empowers decisions through a holistic view of the network, fusing the ability to monitor traffic with SIEM-like capability. Fluency provides clarity & measurable value by leveraging Big Data & Packet Monitoring to provide more information, not less; additionally Fluency is open & integrates with existing deployed security solutions protecting investments made while providing measurable, complementary value & an extremely quick ROI from the day implemented.
****Fluency In The Press:
- RSA Selected as 1 of 9 Most Innovative Security Products of 2015 (Only Breach Offering Selected) - 04/15
- CRN Selected #6 of the 10 Coolest Security Startups of 2015 - 07/15
- CRN Selected as 1 of the Top 25 Disrupters (Across all IT Disciplines) of 2015 - 08/15
White Paper Aaci Data Center Physical Security Mc DonaldJames McDonald
Data Center Best Practices for Integrated Physical Security Technology Solutions and SAS 70 and Homeland Security Presidential Directive 7 (HSPD-7) Compliance
This document discusses factors to consider when evaluating a clinical information system (CIS), including:
- Who is involved in choosing, implementing, and revising a CIS
- Factors to consider before implementing a CIS such as costs and failure rates
- How a CIS should be structured and updated
- Companies that design clinical decision support systems
- Security, access controls, and costs including implementation, support personnel, and purchasing options.
- How users should be educated on a system and updates through various learning methods.
This document proposes an e-health cloud solution to securely store patient health records and reports in the cloud. Previously, patient documents were stored physically taking up space and making it difficult to access old records. The cloud solution aims to address these issues by digitizing records and storing them securely in the cloud. This allows easy access to records from anywhere and saves space. The document discusses challenges with healthcare cloud computing like data security and privacy. It proposes using encryption and multi-factor authentication for cloud data and user access security.
The Four Balancing Acts Involved with Healthcare Data Security FrameworksHealth Catalyst
The document discusses balancing healthcare data security and utilization. It addresses four areas that affect this balance: 1) monitoring, 2) data de-identification, 3) cloud environments, and 4) user access. For monitoring, the document emphasizes that logging is insufficient and that active monitoring of logs is needed to improve security, performance, and product development. It also discusses techniques for de-identifying data while maintaining data usefulness and the tradeoffs of using cloud environments for data analytics. Overall, the document advocates for balancing data utilization and security through techniques like active log monitoring across different layers of the analytics stack.