Presentation given by Prof Fernando J Martin-Sanchez at the HISA (Health Informatics Society Australia) event "A Leap into E-Health" - see http://www.hisa.org.au/events/event_details.asp?id=211738 for further details - on 29th February 2012.
Personalized Medicine: Balancing the Promise and Peril of ... Personalized ...MedicineAndHealth
This document discusses the promise and challenges of personalized medicine through pharmacogenomics. It explores opportunities like more effective drug development through tailoring therapies based on genetic differences. However, it also examines ethical issues such as deciding research priorities, demonstrating clinical utility with smaller trials, integrating testing into care, preventing discrimination and maintaining privacy and confidentiality. The document notes economic challenges around business decisions and costs, as well as social impacts on identity, health inequalities and creating feelings of fatalism or helplessness in some groups.
Health and Biomedical informatics aims to use information processing for preventative medicine. The presentation outlines current challenges in medicine including the need for earlier diagnosis, personalized therapies, and improved disease classification. It presents a vision called "Health by Equation" which uses an informatics system to calculate an individual's health profile based on genetic and environmental factors to guide prevention and treatment recommendations. Opportunities from health informatics and technology include measuring an individual's genome, phenome, and exposome over lifetime through various sensors. This enables concepts like personalized medicine, participatory health through social media, and crowdsourced clinical trials.
Electronic medical records, also known as EHRs, systematically collect electronic health information about individual patients and populations. EHRs can include demographics, medical history, medications, allergies, lab reports, and billing information. EHRs offer potential for quicker access to relevant patient information, regular updates, storage of data in multimedia formats, and increased efficiency in healthcare delivery and decision-making. Both providers and patients can benefit from EHRs, as providers can exchange information through networks and patients can access their records across locations. However, some physicians worry that patient access to notes may increase patient worry, though studies show patients are generally satisfied with EHR access.
Precision medicine represents a shift from symptom-based and intuition-based medicine of the past to a data-driven approach using an individual's molecular and genomic data to guide prevention, diagnosis, and treatment decisions. By applying rules, algorithms and reference databases to integrate multiple types of data such as molecular fingerprints, imaging, and non-molecular content, precision medicine enables actionable clinical decision support and precise, efficient care tailored to each individual.
This document outlines different areas of informatics and their scopes and methods. It shows that population health informatics focuses on entire populations and public health, while clinical informatics focuses on healthcare delivery and individual patients. Basic research informatics examines areas like bioinformatics, image informatics, and nanoinformatics at a fundamental level, while clinical research informatics applies these areas to research.
The document discusses the transition from personalized medicine to personal health. It notes the current challenges in medicine including the need for earlier diagnosis, more personalized therapies, and improved disease classification. Personalized medicine uses an individual's genetic and molecular profile to guide risk assessment and treatment. However, personal health empowers patients by providing them access to their own health data through technologies like sensors, apps, and personal health records. This allows patients to better monitor and manage their health. Realizing personal health will require overcoming challenges regarding privacy, security, and ensuring equitable access to technologies and data interpretation.
Precision medicine aims to customize medical treatments and products to an individual based on their genetic, environmental and lifestyle factors. Advances in genomics from projects like the Human Genome Project have increased understanding of human genetic diversity and potential for individualized healthcare. This has led to a rise in precision medicine approaches and companies offering personalized health services like genetic testing and microbiome analysis. Public sector initiatives are also emerging like an ingestible pill to diagnose gut disorders and large research programs to study disease prevention and treatment through precision approaches. Precision medicine has significant implications for diseases like cancer and holds potential to better address chronic conditions, though regulatory considerations will be important as innovation progresses rapidly.
(1) Drug delivery systems are engineered technologies that target and control the delivery of therapeutic agents in the body. (2) They allow drugs to be delivered locally to areas of disease rather than systemically, reducing side effects. (3) Researchers are developing new delivery routes like microneedle patches, vehicles like nanosponges that target tumors, therapeutic cargos beyond drugs, and targeting strategies using viral nanoparticles for prostate cancer.
Personalized Medicine: Balancing the Promise and Peril of ... Personalized ...MedicineAndHealth
This document discusses the promise and challenges of personalized medicine through pharmacogenomics. It explores opportunities like more effective drug development through tailoring therapies based on genetic differences. However, it also examines ethical issues such as deciding research priorities, demonstrating clinical utility with smaller trials, integrating testing into care, preventing discrimination and maintaining privacy and confidentiality. The document notes economic challenges around business decisions and costs, as well as social impacts on identity, health inequalities and creating feelings of fatalism or helplessness in some groups.
Health and Biomedical informatics aims to use information processing for preventative medicine. The presentation outlines current challenges in medicine including the need for earlier diagnosis, personalized therapies, and improved disease classification. It presents a vision called "Health by Equation" which uses an informatics system to calculate an individual's health profile based on genetic and environmental factors to guide prevention and treatment recommendations. Opportunities from health informatics and technology include measuring an individual's genome, phenome, and exposome over lifetime through various sensors. This enables concepts like personalized medicine, participatory health through social media, and crowdsourced clinical trials.
Electronic medical records, also known as EHRs, systematically collect electronic health information about individual patients and populations. EHRs can include demographics, medical history, medications, allergies, lab reports, and billing information. EHRs offer potential for quicker access to relevant patient information, regular updates, storage of data in multimedia formats, and increased efficiency in healthcare delivery and decision-making. Both providers and patients can benefit from EHRs, as providers can exchange information through networks and patients can access their records across locations. However, some physicians worry that patient access to notes may increase patient worry, though studies show patients are generally satisfied with EHR access.
Precision medicine represents a shift from symptom-based and intuition-based medicine of the past to a data-driven approach using an individual's molecular and genomic data to guide prevention, diagnosis, and treatment decisions. By applying rules, algorithms and reference databases to integrate multiple types of data such as molecular fingerprints, imaging, and non-molecular content, precision medicine enables actionable clinical decision support and precise, efficient care tailored to each individual.
This document outlines different areas of informatics and their scopes and methods. It shows that population health informatics focuses on entire populations and public health, while clinical informatics focuses on healthcare delivery and individual patients. Basic research informatics examines areas like bioinformatics, image informatics, and nanoinformatics at a fundamental level, while clinical research informatics applies these areas to research.
The document discusses the transition from personalized medicine to personal health. It notes the current challenges in medicine including the need for earlier diagnosis, more personalized therapies, and improved disease classification. Personalized medicine uses an individual's genetic and molecular profile to guide risk assessment and treatment. However, personal health empowers patients by providing them access to their own health data through technologies like sensors, apps, and personal health records. This allows patients to better monitor and manage their health. Realizing personal health will require overcoming challenges regarding privacy, security, and ensuring equitable access to technologies and data interpretation.
Precision medicine aims to customize medical treatments and products to an individual based on their genetic, environmental and lifestyle factors. Advances in genomics from projects like the Human Genome Project have increased understanding of human genetic diversity and potential for individualized healthcare. This has led to a rise in precision medicine approaches and companies offering personalized health services like genetic testing and microbiome analysis. Public sector initiatives are also emerging like an ingestible pill to diagnose gut disorders and large research programs to study disease prevention and treatment through precision approaches. Precision medicine has significant implications for diseases like cancer and holds potential to better address chronic conditions, though regulatory considerations will be important as innovation progresses rapidly.
(1) Drug delivery systems are engineered technologies that target and control the delivery of therapeutic agents in the body. (2) They allow drugs to be delivered locally to areas of disease rather than systemically, reducing side effects. (3) Researchers are developing new delivery routes like microneedle patches, vehicles like nanosponges that target tumors, therapeutic cargos beyond drugs, and targeting strategies using viral nanoparticles for prostate cancer.
Kantar Health Real World Evidence CapabilitiesDavid Pomerantz
Kantar Health covers real-world research and value across treatment patterns, patient outcomes, health economics, and risk management using outcomes research, real-life studies, observational studies, and syndicated data to understand disease management, target populations, patient profiles, resource utilization, and risks.
In June this year, Prof Martin-Sanchez traveled to Heidelberg, Germany to represent HBIR and University of Melbourne participating in a three day scientific symposium "Biomedical Informatics: Confluence of Multiple Disciplines”.
These are the slides from the presentation he gave to the symposium.
The document discusses the integration of biostatistics and medical informatics. It explains that medical informatics deals with collecting, organizing, analyzing, and disseminating medical information using information technology. Biostatistical methods are beginning to be integrated into areas like medical informatics, public health informatics, and bioinformatics. The document also provides examples of institutions that offer training programs integrating biostatistics and medical informatics.
This document discusses enabling precision medicine in cancer through an open community-driven knowledge management system. It notes that each tumor has a unique set of somatic DNA alterations that affect drug response and resistance. The challenges are interpreting and prioritizing clinically actionable variants from ongoing clinical trials, electronic health records, biomedical literature, genomic databases, and other resources. The proposed solution is an integrated cancer knowledge base that combines these data sources using semantic web technologies and ontologies for clinical decision support. Community curation of evidence for actionable genomic events would specify levels, types, and directions of actionability.
(1) The document discusses integrating heterogeneous biomedical data such as clinical data, 'omics data, biomedical literature, and drugs to gain a more complete understanding of diseases and therapeutics. (2) It describes how the GRIB group mines, integrates, filters, annotates, analyzes, and visualizes different data types to enable integrative bioinformatics. (3) As an example, it discusses how the group analyzed gene-disease networks from the DisGeNET database to reveal functional modules underlying different disease types and identify disease comorbidities.
A radiology report serves as an intermediary between a radiologist and referring clinician for suggesting
appropriate treatment to the patients, aimed at better healthcare management. It is essentially a tool
that assists radiologists in conveying their input to the patients and clinicians regarding positive or negative findings on a case. The objective of this paper is to discuss and propose Radiology Information & Reporting System (RIRS), highlight challenges governing its implementation and suggest way forwards
towards its effective implementation across the public sector tertiary care institutions of Pakistan. In the end, it is concluded that the proposed RIRS would potentially offer enormous benefits in terms of cost
savings, reporting accuracy, faster processing and operational efficiency as opposed to the conventionally available manual radiology reporting procedures and systems.
Bioelectronics is the application of electronics to biology and medicine. It has various applications such as pacemakers, artificial limbs, blood glucose meters, and biosensors. Recent advancements include Google's contact lens that monitors glucose levels and LED tattoos. Researchers ultimately hope to create fully implantable devices that can read, write, and block biological signals to treat diseases without wires or batteries. Three-dimensional printing is also being used to produce customized drug delivery systems. Telepharmacy allows patients in remote locations access to pharmacists via telecommunications for services like drug counseling and dispensing. While this expands access to care, it also decreases in-person interaction and increases risks of errors and privacy breaches.
Introducing Comprehensive, Concurrent Patient Safety Surveillance for Hospita...Health Catalyst
Health Catalyst is excited to announce the Patient Safety Monitor™ Suite: Surveillance Module, the industry’s first comprehensive patient safety application to use predictive and text analytics combined with concurrent clinician review of data to help monitor, detect, predict and prevent threats to patients before harm can occur.
The Patient Safety Monitor Suite leverages AI and machine learning to quickly identify patterns of harm, learn from those patterns, and suggest strategies to eliminate patient safety risks and hazards. This potent combination of AI, machine learning, text analytics and near real-time data from multiple IT systems enables the Patient Safety Monitor Suite to predict harm events and guide clinical interventions while the patient is still in the hospital.
In this webinar you will learn how the Surveillance Module can provide:
* Greater clarity to the types, numbers, and causes of adverse events, enabling leaders to quickly prioritize improvement efforts.
* Improved patient outcomes such as reduced morbidity, mortality, and length-of-stay, and increased quality-of-life and satisfaction.
* Bottom-line cost savings and improved brand recognition related to unnecessary or preventable high-cost care and reduced/eliminated penalties.
* The ability for clinicians and infection preventionists to focus on patient care instead of burdensome manual data extraction, aggregation, and reporting.
The document summarizes a workshop on applying systems biology approaches to medical research and practice. The workshop aimed to analyze the current state, identify opportunities and barriers, and recommend areas for collaboration. Participants discussed how systems biology could help clinical trials, redefine disease phenotypes, discover biomarkers, enable combinatorial therapies, and improve drug development. Key areas for future research include understanding chronic diseases through network analysis, combining personalized omics data with clinical information, and developing combinatorial drug screening. The major challenge is for systems biology to help transition to a predictive, personalized, preventive and participatory model of medicine.
1. Multiple sclerosis (MS) is a chronic disease of the central nervous system affecting young adults that causes progressive motor and cognitive deterioration.
2. The pathogenesis of MS is not fully understood but is thought to involve an interaction of environmental, epigenetic, and genetic factors triggering the disease in susceptible individuals.
3. Efforts are focusing on identifying biomarkers that can optimize disease management and improve prognosis.
Date held: February 12, 2015
Presented by: Deb Davison, Genomic Health
Topics discussed:
The latest in genomic testing and its role in cancer treatment
The most recent results from Genomic Health’s second independent clinical validation study of Oncotype DX® in DCIS patients
Q&A session about the implications of this research
This document summarizes a research study on cancer screening awareness among patients admitted to a tertiary health care center in Turkey. The study surveyed 400 randomly selected patients using face-to-face interviews in May 2016 about their awareness of cancer screening programs. Cancer is the second leading cause of death in Turkey, accounting for 21.1% of deaths. The goal of the study was to investigate cancer screening awareness in the local region to better understand prognosis and survival rates from early detection. Statistical analysis of the survey results was performed using SPSS software.
This document discusses the limitations of current medicine and how nanotechnology may help address these limitations. Specifically, it notes that current diagnostic and treatment methods lack precision at the molecular level. Surgery cannot see or repair individual molecules and cells, while drug therapies affect entire regions of the body rather than targeting specific cells. Nanotechnology operates at a similar scale to biological molecules and structures, allowing for the possibility of more precise diagnosis and targeted treatment at the molecular level through medical nanorobotics. This could provide better understanding of diseases and new ways to apply knowledge for healing.
This presentation shows that doctors are increasingly using mobile health for:
•Mobile, text and video-based consultations
•Patient monitoring
•Accessing patient data
•Explaining to patients their conditions and medical information
•Increased efficiency, for example saving time in receiving test results or consulting with colleagues or administration.
However for many m-Health is changing the doctor-patient relationship. The doctors’ traditional role is being disrupted while patients are becoming more independent and more active in managing their own healthcare.
Is the increasing availability of automated image analysis a possibility to strengthen the application of diffusion-MRI as a biometric parameter, and to enhance the future of image biobanks? Or is this evolution threatening the position of radiologists as medical doctors. Is a redefinition of radiologist as computer technicians inevitable?
Bioelectronics uses principles of electronics to apply to biology and medicine. It has various applications including pacemakers, artificial limbs, blood glucose meters, and biosensors. Cancer treatment is also being explored through manipulating bioelectric signals to potentially stop cancer growth or regrow limbs. Recent advancements include contact lenses that monitor glucose and LED tattoos. A prize was announced to develop a fully implantable device that can read, write, and block body's electrical signals to treat diseases. While still developing, bioelectronics shows promise for less painful medical treatments and potentially curing conditions.
1) The document discusses precision medicine in cancer treatment, which is a medical model that takes into account individual variability in genes, lifestyle, and environment to tailor treatment for each patient.
2) Precision medicine aims to improve cancer treatment outcomes by using biomarkers and genetic/molecular analysis to identify the specific causes of a patient's cancer and select targeted therapies.
3) This approach could help increase survival rates, reduce side effects, and improve overall treatment efficacy compared to traditional one-size-fits-all cancer care.
Presentation given at Health Informatics and Knowledge Management conference
(http://publichealth.curtin.edu.au/HIKM/), as part of Australasian Computer Science Week 2012.
http://www.cs.rmit.edu.au/acsw2012/
The rise of the 'ePatient': how it is affecting clinical practice and research
The document discusses how engaged patients, or "ePatients", who actively gather their own health data and conduct their own research are affecting clinical practice and research. It describes how ePatients are empowered through personal health records, diagnostic testing, genomic data, and self-monitoring devices. This shift towards participatory health challenges traditional clinician-led models and will require changes in areas like privacy, education, and how data is integrated into care.
This document discusses the opportunity for transformation in healthcare through a P4 (Predictive, Preventive, Personalized, and Participatory) approach. It notes that the current healthcare system spends most of its resources on treating preventable chronic diseases. It proposes using complex systems approaches and personalized medicine to shift focus toward prevention, wellness, and patient engagement. The document outlines pilot projects at Ohio State applying a P4 approach to wellness and care coordination for chronic conditions.
Kantar Health Real World Evidence CapabilitiesDavid Pomerantz
Kantar Health covers real-world research and value across treatment patterns, patient outcomes, health economics, and risk management using outcomes research, real-life studies, observational studies, and syndicated data to understand disease management, target populations, patient profiles, resource utilization, and risks.
In June this year, Prof Martin-Sanchez traveled to Heidelberg, Germany to represent HBIR and University of Melbourne participating in a three day scientific symposium "Biomedical Informatics: Confluence of Multiple Disciplines”.
These are the slides from the presentation he gave to the symposium.
The document discusses the integration of biostatistics and medical informatics. It explains that medical informatics deals with collecting, organizing, analyzing, and disseminating medical information using information technology. Biostatistical methods are beginning to be integrated into areas like medical informatics, public health informatics, and bioinformatics. The document also provides examples of institutions that offer training programs integrating biostatistics and medical informatics.
This document discusses enabling precision medicine in cancer through an open community-driven knowledge management system. It notes that each tumor has a unique set of somatic DNA alterations that affect drug response and resistance. The challenges are interpreting and prioritizing clinically actionable variants from ongoing clinical trials, electronic health records, biomedical literature, genomic databases, and other resources. The proposed solution is an integrated cancer knowledge base that combines these data sources using semantic web technologies and ontologies for clinical decision support. Community curation of evidence for actionable genomic events would specify levels, types, and directions of actionability.
(1) The document discusses integrating heterogeneous biomedical data such as clinical data, 'omics data, biomedical literature, and drugs to gain a more complete understanding of diseases and therapeutics. (2) It describes how the GRIB group mines, integrates, filters, annotates, analyzes, and visualizes different data types to enable integrative bioinformatics. (3) As an example, it discusses how the group analyzed gene-disease networks from the DisGeNET database to reveal functional modules underlying different disease types and identify disease comorbidities.
A radiology report serves as an intermediary between a radiologist and referring clinician for suggesting
appropriate treatment to the patients, aimed at better healthcare management. It is essentially a tool
that assists radiologists in conveying their input to the patients and clinicians regarding positive or negative findings on a case. The objective of this paper is to discuss and propose Radiology Information & Reporting System (RIRS), highlight challenges governing its implementation and suggest way forwards
towards its effective implementation across the public sector tertiary care institutions of Pakistan. In the end, it is concluded that the proposed RIRS would potentially offer enormous benefits in terms of cost
savings, reporting accuracy, faster processing and operational efficiency as opposed to the conventionally available manual radiology reporting procedures and systems.
Bioelectronics is the application of electronics to biology and medicine. It has various applications such as pacemakers, artificial limbs, blood glucose meters, and biosensors. Recent advancements include Google's contact lens that monitors glucose levels and LED tattoos. Researchers ultimately hope to create fully implantable devices that can read, write, and block biological signals to treat diseases without wires or batteries. Three-dimensional printing is also being used to produce customized drug delivery systems. Telepharmacy allows patients in remote locations access to pharmacists via telecommunications for services like drug counseling and dispensing. While this expands access to care, it also decreases in-person interaction and increases risks of errors and privacy breaches.
Introducing Comprehensive, Concurrent Patient Safety Surveillance for Hospita...Health Catalyst
Health Catalyst is excited to announce the Patient Safety Monitor™ Suite: Surveillance Module, the industry’s first comprehensive patient safety application to use predictive and text analytics combined with concurrent clinician review of data to help monitor, detect, predict and prevent threats to patients before harm can occur.
The Patient Safety Monitor Suite leverages AI and machine learning to quickly identify patterns of harm, learn from those patterns, and suggest strategies to eliminate patient safety risks and hazards. This potent combination of AI, machine learning, text analytics and near real-time data from multiple IT systems enables the Patient Safety Monitor Suite to predict harm events and guide clinical interventions while the patient is still in the hospital.
In this webinar you will learn how the Surveillance Module can provide:
* Greater clarity to the types, numbers, and causes of adverse events, enabling leaders to quickly prioritize improvement efforts.
* Improved patient outcomes such as reduced morbidity, mortality, and length-of-stay, and increased quality-of-life and satisfaction.
* Bottom-line cost savings and improved brand recognition related to unnecessary or preventable high-cost care and reduced/eliminated penalties.
* The ability for clinicians and infection preventionists to focus on patient care instead of burdensome manual data extraction, aggregation, and reporting.
The document summarizes a workshop on applying systems biology approaches to medical research and practice. The workshop aimed to analyze the current state, identify opportunities and barriers, and recommend areas for collaboration. Participants discussed how systems biology could help clinical trials, redefine disease phenotypes, discover biomarkers, enable combinatorial therapies, and improve drug development. Key areas for future research include understanding chronic diseases through network analysis, combining personalized omics data with clinical information, and developing combinatorial drug screening. The major challenge is for systems biology to help transition to a predictive, personalized, preventive and participatory model of medicine.
1. Multiple sclerosis (MS) is a chronic disease of the central nervous system affecting young adults that causes progressive motor and cognitive deterioration.
2. The pathogenesis of MS is not fully understood but is thought to involve an interaction of environmental, epigenetic, and genetic factors triggering the disease in susceptible individuals.
3. Efforts are focusing on identifying biomarkers that can optimize disease management and improve prognosis.
Date held: February 12, 2015
Presented by: Deb Davison, Genomic Health
Topics discussed:
The latest in genomic testing and its role in cancer treatment
The most recent results from Genomic Health’s second independent clinical validation study of Oncotype DX® in DCIS patients
Q&A session about the implications of this research
This document summarizes a research study on cancer screening awareness among patients admitted to a tertiary health care center in Turkey. The study surveyed 400 randomly selected patients using face-to-face interviews in May 2016 about their awareness of cancer screening programs. Cancer is the second leading cause of death in Turkey, accounting for 21.1% of deaths. The goal of the study was to investigate cancer screening awareness in the local region to better understand prognosis and survival rates from early detection. Statistical analysis of the survey results was performed using SPSS software.
This document discusses the limitations of current medicine and how nanotechnology may help address these limitations. Specifically, it notes that current diagnostic and treatment methods lack precision at the molecular level. Surgery cannot see or repair individual molecules and cells, while drug therapies affect entire regions of the body rather than targeting specific cells. Nanotechnology operates at a similar scale to biological molecules and structures, allowing for the possibility of more precise diagnosis and targeted treatment at the molecular level through medical nanorobotics. This could provide better understanding of diseases and new ways to apply knowledge for healing.
This presentation shows that doctors are increasingly using mobile health for:
•Mobile, text and video-based consultations
•Patient monitoring
•Accessing patient data
•Explaining to patients their conditions and medical information
•Increased efficiency, for example saving time in receiving test results or consulting with colleagues or administration.
However for many m-Health is changing the doctor-patient relationship. The doctors’ traditional role is being disrupted while patients are becoming more independent and more active in managing their own healthcare.
Is the increasing availability of automated image analysis a possibility to strengthen the application of diffusion-MRI as a biometric parameter, and to enhance the future of image biobanks? Or is this evolution threatening the position of radiologists as medical doctors. Is a redefinition of radiologist as computer technicians inevitable?
Bioelectronics uses principles of electronics to apply to biology and medicine. It has various applications including pacemakers, artificial limbs, blood glucose meters, and biosensors. Cancer treatment is also being explored through manipulating bioelectric signals to potentially stop cancer growth or regrow limbs. Recent advancements include contact lenses that monitor glucose and LED tattoos. A prize was announced to develop a fully implantable device that can read, write, and block body's electrical signals to treat diseases. While still developing, bioelectronics shows promise for less painful medical treatments and potentially curing conditions.
1) The document discusses precision medicine in cancer treatment, which is a medical model that takes into account individual variability in genes, lifestyle, and environment to tailor treatment for each patient.
2) Precision medicine aims to improve cancer treatment outcomes by using biomarkers and genetic/molecular analysis to identify the specific causes of a patient's cancer and select targeted therapies.
3) This approach could help increase survival rates, reduce side effects, and improve overall treatment efficacy compared to traditional one-size-fits-all cancer care.
Presentation given at Health Informatics and Knowledge Management conference
(http://publichealth.curtin.edu.au/HIKM/), as part of Australasian Computer Science Week 2012.
http://www.cs.rmit.edu.au/acsw2012/
The rise of the 'ePatient': how it is affecting clinical practice and research
The document discusses how engaged patients, or "ePatients", who actively gather their own health data and conduct their own research are affecting clinical practice and research. It describes how ePatients are empowered through personal health records, diagnostic testing, genomic data, and self-monitoring devices. This shift towards participatory health challenges traditional clinician-led models and will require changes in areas like privacy, education, and how data is integrated into care.
This document discusses the opportunity for transformation in healthcare through a P4 (Predictive, Preventive, Personalized, and Participatory) approach. It notes that the current healthcare system spends most of its resources on treating preventable chronic diseases. It proposes using complex systems approaches and personalized medicine to shift focus toward prevention, wellness, and patient engagement. The document outlines pilot projects at Ohio State applying a P4 approach to wellness and care coordination for chronic conditions.
This document summarizes a presentation on new sources of big data for precision medicine. It discusses how new data sources like genomics, the human microbiome, epigenomics, and the exposome are generating large amounts of data. It then covers the evolution of precision medicine from concepts like personalized medicine and how strategic initiatives in the UK and US are supporting precision medicine research through funding programs and projects like the Cancer Genome Atlas, eMERGE, and exposome studies. The presentation raises the question of whether we are ready for precision medicine given these new data sources and research efforts.
- Bio-Medical Informatics (BMI) is the interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health.
- Emergency Medical Informatics (EMI) applies BMI principles to emergency patient care and operations by facilitating the collection, management, processing, and application of emergency patient care and operational data.
- As an emergency physician, it is important to ensure that any emergency department information system (EDIS) is safe, effective, and patient-centered, and to find ways to measure its impact and make it more valuable for clinical practice and research. National organizations like the Korean
Presentation by Prof. Fernando Martin-Sanchez at the "Carlton Connect" Interdisciplinary conference in Melbourne, 2012.
http://www.carltonconnect.com.au/Conference/Conference.html
This document discusses integrated health monitoring and precision medicine. It defines precision medicine as using big data, clinical, molecular, environmental, and behavioral information to understand disease and improve prevention and treatment outcomes for patients. Integrated health monitoring combines data from various sources like personal health records, sensors, genomics, and environmental exposures to develop a dynamic model of a patient's health over time. Health informatics plays a key role in building systems to integrate these diverse data sources and enable precision medicine approaches.
This document discusses how broadband technologies can enable personalized and participatory medicine. It describes how broadband can help improve youth mental health services and aged care through remote monitoring, telehealth, and electronic health records. The convergence of medicine and digital technologies is creating an information ecosystem that will facilitate more efficient preventative, diagnostic and therapeutic solutions where citizens have access to their genetic and health data. High-capacity broadband networks that transmit large volumes of data will be important for concepts like personalized medicine and participatory health to become feasible.
Medical Utopias: The Promise of Emerging TechnologiesAlex Tang
Medical utopias are often about good health, absence of suffering, and even delaying of the aging process. The last two decades have seen a tremendous increase in emerging medical technologies to achieve these utopias. The completion of the sequencing of the human genome sets the stage for the next step of genetic and molecular advances. The increase in computing power, storage capacity, connectivity, and the Internet has opened avenues of new diagnostic and therapeutic modalities. The perfecting of sustaining cell growth in vitro and cell nucleus transfer has opened the way to cloning, stem cell harvesting, and a new field of regenerative medicine. However, these emerging technologies bring with them a large number of bioethical concerns that need to be addressed. These concerns involving tissue engineering, bioelectronics, new genetics, cloning, gene therapy, germ-line genome modifications are only the tip of the iceberg. In this paper I will reflect on three areas of concern. Firstly, the emergence of the digital patient will be considered. This digital patient will be deeply formed and informed by health information technology (IT), the social media, and issues involving privacy, confidentiality and data security. Secondly, the direct to customers (DTC) genetic screening tests will be discussed. The ethical issue of buccal swabs taken at home and be tested for genetic diseases and future prediction of other illnesses which is marketed directly to the consumers will be examined. Finally, the development of new pharmaco-therapeutics will be explored. There have been changes in the way new drugs are tested and these changes do raise some ethical concerns. The examination of these ethical issues will be done in the framework of respect for autonomy, beneficence, non-maleficence, and justice.
UCSF Informatics Day 2014 - Keith R. Yamamoto, "Precision Medicine"CTSI at UCSF
Keith R. Yamamoto, PhD — Opening Remarks – Precision Medicine
Vice Chancellor for Research
Executive Vice Dean of the School of Medicine
Professor of Cellular and Molecular Pharmacology
UCSF
The Future Biotechnology and Biomedical AdvancementsAustin Seal
The document discusses the promising future of biotechnology and biomedical advancements. It outlines how these fields have revolutionized medicine through genomic sequencing, biopharmaceuticals, and personalized treatment approaches. New diagnostic technologies like liquid biopsies and point-of-care testing have also emerged. Biotechnology has played a key role in developing vaccines and tests for COVID-19 and other diseases. Regenerative medicine is addressing organ failure through stem cell therapies and bioprinting. While these innovations hold potential, ethical and regulatory challenges regarding data privacy, "designer babies", and oversight must be considered.
This document discusses challenges and opportunities in managing data for personalized medicine. It begins with an overview of personalized medicine and the role of information and biomarkers. There is currently a deluge of diverse data from sources like omics, IoT, social media and mHealth. Biomarkers and computational techniques help reduce complexity and support integrative models. However, effective data capture, integration and interpretation require addressing issues like interoperability, security and privacy compliance. Personalized medicine is transforming healthcare to be more data-driven and patient-centric.
Health informatics is the interdisciplinary study of how to design, develop, apply and use information technology in healthcare to improve health services. It involves optimizing the acquisition, storage, retrieval and use of health information. Key applications include translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics and public health informatics. Health informatics uses mathematics and statistics to understand health data and probabilistic methods to determine clinical probabilities and integrate new data.
The document discusses the field of health informatics and provides definitions and examples. It defines health informatics as the application of information science to healthcare and biomedical research. It describes the relationships between health informatics and other fields like computer science, engineering, and the medical sciences. The document also discusses different areas of health informatics like clinical informatics, public health informatics, and consumer health informatics. It provides examples of common health information technologies used in healthcare settings like electronic health records, computerized physician order entry, and picture archiving systems.
Introduction to Health Informatics and Health IT in Clinical Settings (Part 1...Nawanan Theera-Ampornpunt
Biomedical informatics is the interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health. It develops theories, methods and processes for generating, storing, retrieving, using, and sharing biomedical data, information, and knowledge. Biomedical informatics draws upon fields like computer science, management sciences, clinical sciences, and the social sciences. The field aims to create a "learning healthcare system" that ties patient care to knowledge creation and dissemination.
1) The document discusses the Future Health department at KU Leuven which conducts research in health decision support for professionals, patients, and policymakers.
2) The department takes an interdisciplinary approach and focuses on using data mining, IT, and software design to extract appropriate information from clinical, biomedical, and other health data sources to provide decision support.
3) The goal is to enable better, more cost effective healthcare by providing personalized decision support that is evidence-based, user-centered, and looks ahead to future needs.
Panel: FROM SMALL TO BIG TO RICH DATA: Dealing with new sources of data in Biomedicine Precision and Participatory Medicine
Fernando J. Martin-Sanchez, Professor and Chair of Health Informatics at Melbourne Medical School, discusses new sources of data in biomedicine including small, big, and rich data. He describes how small data connects people with meaningful insights from big data to be understandable for everyday tasks. Martin-Sanchez also discusses precision medicine, participatory health, and how convergence between the two can help integrate multiple data sources including genomics, the exposome, and digital health to improve disease prevention and treatment outcomes.
Revolutionizing Healthcare The Biomedical Industry's Quest for InnovationAustin Seal
The document provides a comprehensive overview of the biomedical industry, examining its history, current challenges, and promising future developments. It traces the roots of biomedicine back to ancient civilizations and explores key milestones like the Renaissance period and modern discoveries of germ theory and antibiotics. Current challenges include navigating regulatory hurdles, addressing ethical dilemmas, and improving global healthcare access. Exciting areas of innovation discussed are precision medicine, regenerative medicine, artificial intelligence, 3D printing, and telemedicine. The future holds possibilities such as artificial organs and neurotechnology breakthroughs, though developing ethical frameworks and global collaboration will be important to ensure responsible progress.
This document outlines a presentation on digital medicine and new challenges for health informatics. It discusses how digital technologies are converging with medicine and impacting patients through wearables, apps, direct-to-consumer services, and social networks. Precision medicine and participatory health are highlighted as key research areas. The role of biomedical informatics is examined in relation to social media, self-quantification, and exposome informatics. Research being conducted at HaBIC and potential frameworks for understanding quantified self data and its therapeutic benefits are summarized.
The Health and Biomedical Informatics Centre (HaBIC) conducts activities in education, translational research informatics, e-health and participatory health research, informatics for precision medicine research, and engagement. Key activities include developing education strategies in health and biomedical informatics, providing expertise and tools to support health data collection and management for research, conducting e-health and participatory health research on topics like telehealth and self-quantification, facilitating precision medicine through genomic and clinical data integration, and engaging with partners in biomedical research institutes, hospitals, and universities.
1) The document discusses self-quantification systems and big data prospects and challenges from these systems. It describes the quantified self movement and tools people use to self-monitor health metrics and experiences.
2) Various types of self-monitoring devices, sensors, and services are presented. Challenges with self-quantification include privacy, security, education, and ensuring data is used for health improvement rather than risk profiling.
3) Opportunities include using self-tracking data to prevent disease, shift care from tertiary to primary settings, and generating data to further research when shared. Standards are needed for integrating self-data with electronic health records.
This document provides an overview of nursing informatics (NI). It defines NI as the science and practice that integrates nursing, information and knowledge, with management of information and communication technologies to promote health. The document discusses the evolution of NI as a clinical specialty since the 1970s. It also outlines some of the core skills and roles in NI, including systems analysis, project management, education, research, and technology development.
This document provides an overview of a new postgraduate elective subject on eHealth and Biomedical Informatics Systems. The subject introduces current approaches and future directions in eHealth and healthcare informatics. Topics covered include electronic health records, health portals, telehealth, and privacy/security standards. The subject aims to help students critically evaluate new health technologies, synthesize technical and social factors in informatics projects, and assess competency needs. Assessment consists of a knowledge test, critical appraisal assignment, and project report with presentation. The subject provides foundational knowledge in biomedicine, computing, and information science relevant to the field of health informatics.
The Master of Information Technology Specialisation in Health is a 1-2 year program that trains students in health IT to address the growing demand and shortage of skilled professionals. The program provides a foundation in core IT subjects as well as specialised subjects in areas like eHealth, biomedical informatics, and health data. Students learn from experts in IT and health and have opportunities for industry projects and placements in the biomedical precinct at the University of Melbourne.
Health and biomedical informatics is the study of how information is acquired, stored, retrieved, and used for human health and involves the design of information systems to advance healthcare. The University of Melbourne's Health and Biomedical Informatics Research Unit conducts multidisciplinary research and teaching in this field from their location in the city's healthcare and research precinct. The Unit collaborates widely and welcomes involvement in their activities through research projects, courses, employment, and partnerships to advance human health.
More from Health and Biomedical Informatics Centre @ The University of Melbourne (8)
Cell Therapy Expansion and Challenges in Autoimmune DiseaseHealth Advances
There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
Here is the updated list of Top Best Ayurvedic medicine for Gas and Indigestion and those are Gas-O-Go Syp for Dyspepsia | Lavizyme Syrup for Acidity | Yumzyme Hepatoprotective Capsules etc
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
1. “(Health) (Clinical)
(Medical) (Translational),…
Bioinformatics”
HISA Victoria – A leap into eHealth
29 Feb 2012
Fernando J. Martin-Sanchez
Professor and Chair of Health Informatics
Melbourne Medical School
&
Director, Health and Biomedical Informatics Research (HBIR) Unit
Faculty of Medicine, Dentistry & Health Sciences
2. Objectives
• Terminology (What is xBioinformatics?)
• Importance (Why should we care?)
• Role of Informatics in Personalised medicine (How?)
8. Biomedical Informatics: Biomedical Information
processing from particle to population
Multilevel modeling, ontologies, data integration,
data mining, …
Altman RB, Balling R, Brinkley JF, Coiera E, Consorti F, Dhansay MA, Geissbuhler A, Hersh W, Kwankam SY, Lorenzi NM, Martin-Sanchez F, Mihalas GI,
Shahar Y, Takabayashi K, Wiederhold G. "Commentaries on Informatics and medicine: from molecules to populations". Methods Inf Med. 2008;47(4):296-317.
10. Current challenges in Medicine
• Need
of
earlier
diagnosis
• More
personalized
therapies
• Risk
profiling,
disease
predic8on
and
preven8on
• Improve
disease
classifica8on
systems
• Control
health
system
costs
• Clinical
trials
and
the
development
of
new
drugs
need
to
be
more
agile
and
effec8ve.
• Ci8zens
could
take
more
responsibility
for
the
maintenance
of
their
own
health.
11. Why personalised medicine?
• To develop individualized treatment regimes
to avoid failures, inefficiency and adverse
reactions related to drug therapy
• To facilitate early diagnosis and advance in
risk profiling, disease prediction and
prevention
• To improve disease classification systems
• Growing health system costs
12. Advances in genomic technology
• DNA
Sequencer
–
designed
to
sequence
the
en4re
human
genome
in
a
day
for
$1,000
Benchtop
Ion
Proton™
15. Clinical applications of genomic information
• Pharmacogenetics - PMC
• Molecular autopsy
• Fetal DNA sequencing to preempt
amniocentesis
• Cystic fibrosis – successful clinical
trial for a specific mutation
• Identification of metabolic diseases
19. The role of Biomedical Informatics to facilitate Genomic
Medicine
• Data acquisition at the point of care, including the use of
new nanodevices for diagnosis and ultra DNA sequencing
• Data integration (putting into context molecular information
from the patient with existing biomedical knowledge on the
web and integrating it with the health record)
• Supporting decision making through new clinical guidelines,
alerting systems which take into account the results of
genetic testing and pharmacogenetics approaches
• Education of patients and health professionals in genomics
and informatics
19
1
20. AMIA definition
• Translational Bioinformatics is the
development of storage, analytic, and
interpretive methods to optimize the
transformation of increasingly voluminous
biomedical data, and genomic data, into
proactive, predictive, preventive, and
participatory health.