Improving Care Coordination with Big Data, Analytics and Technology - Paul Co...Paul Brian Contino
Medical Informatics Update: Analytics and Tools for Care Coordination
IBM Thomas J Watson Research Center
October 16th, 2013
The 2013 edition of the Medical Informatics Update is a joint effort between IBM Research and the Columbia University Center for Advanced Information Management. The general chairs for this workshop are Dr. Shahram Ebadollahi and Dr. Georges Hripcsak.
Transforming Healthcare with Big Data, Social and MobilePaul Brian Contino
IBM Insight 2014
Transforming Healthcare with Big Data, Social and Mobile.
Presenters : Sri Srinivasan, Paul Contino, Phani Konduru)
October 28th, 2014
Las Vegas, Nevada
Should healthcare be more digitized? Absolutely. But if we go about it the wrong way... or the naïve way... we will take two steps forward and three steps back.
In this 90-minute webinar, Dale Sanders, President of Technology at Health Catalyst describes the right way to go about the technical digitization of healthcare so that it increases the sense of humanity during the journey.
The topics Dale covers include:
• The human, empathetic components of healthcare’s digitization strategy
• The AI-enabled healthcare encounter in the near future
• Why the current digital approach to patient engagement will never be effective
• The dramatic near-term potential of bio-integrated sensors
• Role of the “digitician” and patient data profiles
• The technology and architecture of a modern digital platform
• The role of AI vs. the role of traditional data analysis in healthcare
• Reasons that home grown digital platforms will not scale, economically
Most of the data that’s generated in healthcare is about administrative overhead of healthcare, not about the current state of patients’ well-being. On average, healthcare collects data about patients three times per year from which providers are expected to optimize diagnoses, treatments, predict health risks and cultivate long-term care plans. Where’s the data about patients’ health from the other 362 days per year?
McKinsey ranks industries based on their Digital Quotient (DQ), which is derived from a cross product of three areas: Data Assets x Data Skills x Data Utilization. Healthcare ranks lower than all industries except mining. It’s time for healthcare to raise its digital quotient, however, it’s a delicate balance. The current “data-driven” strategy in healthcare is a train wreck, sucking the life out of clinicians’ sense of mastery, autonomy, and purpose.
Healthcare’s digital strategy has largely ignored the digitization of patients’ state of health, but that’s changing, and the change will be revolutionary. Driven by bio-integrated sensors and affordable genomics, in the next five years, many patients will possess more data and AI-driven insights about their diagnosis and treatment options than healthcare systems, turning the existing dialogue with care providers on its head. It’s going to happen. Let’s make it happen the right way.
The potential of a digital health ecosystemVelametis
Our idea of digital health ecosystems and their potential to deliver value to all stakeholders involved, is changing. The COVID-19 pandemic accelerated the need to improve remote care, engagement tools and interconnectivity, which are all necessary to support a functioning digital ecosystem.
In this opinion piece, we touch upon the basic components of a Digital Health Ecosystem and how it can be optimised with health technology.
Content overview:
What is a Digital Health Ecosystem?
Why Do We Need Digital Health Ecosystems?
The Pros and Cons
The Potential
Digital Health Ecosystems to Watch
Download here:
https://velametis.com/the-potential-of-a-digital-health-ecosystem/
Improving Care Coordination with Big Data, Analytics and Technology - Paul Co...Paul Brian Contino
Medical Informatics Update: Analytics and Tools for Care Coordination
IBM Thomas J Watson Research Center
October 16th, 2013
The 2013 edition of the Medical Informatics Update is a joint effort between IBM Research and the Columbia University Center for Advanced Information Management. The general chairs for this workshop are Dr. Shahram Ebadollahi and Dr. Georges Hripcsak.
Transforming Healthcare with Big Data, Social and MobilePaul Brian Contino
IBM Insight 2014
Transforming Healthcare with Big Data, Social and Mobile.
Presenters : Sri Srinivasan, Paul Contino, Phani Konduru)
October 28th, 2014
Las Vegas, Nevada
Should healthcare be more digitized? Absolutely. But if we go about it the wrong way... or the naïve way... we will take two steps forward and three steps back.
In this 90-minute webinar, Dale Sanders, President of Technology at Health Catalyst describes the right way to go about the technical digitization of healthcare so that it increases the sense of humanity during the journey.
The topics Dale covers include:
• The human, empathetic components of healthcare’s digitization strategy
• The AI-enabled healthcare encounter in the near future
• Why the current digital approach to patient engagement will never be effective
• The dramatic near-term potential of bio-integrated sensors
• Role of the “digitician” and patient data profiles
• The technology and architecture of a modern digital platform
• The role of AI vs. the role of traditional data analysis in healthcare
• Reasons that home grown digital platforms will not scale, economically
Most of the data that’s generated in healthcare is about administrative overhead of healthcare, not about the current state of patients’ well-being. On average, healthcare collects data about patients three times per year from which providers are expected to optimize diagnoses, treatments, predict health risks and cultivate long-term care plans. Where’s the data about patients’ health from the other 362 days per year?
McKinsey ranks industries based on their Digital Quotient (DQ), which is derived from a cross product of three areas: Data Assets x Data Skills x Data Utilization. Healthcare ranks lower than all industries except mining. It’s time for healthcare to raise its digital quotient, however, it’s a delicate balance. The current “data-driven” strategy in healthcare is a train wreck, sucking the life out of clinicians’ sense of mastery, autonomy, and purpose.
Healthcare’s digital strategy has largely ignored the digitization of patients’ state of health, but that’s changing, and the change will be revolutionary. Driven by bio-integrated sensors and affordable genomics, in the next five years, many patients will possess more data and AI-driven insights about their diagnosis and treatment options than healthcare systems, turning the existing dialogue with care providers on its head. It’s going to happen. Let’s make it happen the right way.
The potential of a digital health ecosystemVelametis
Our idea of digital health ecosystems and their potential to deliver value to all stakeholders involved, is changing. The COVID-19 pandemic accelerated the need to improve remote care, engagement tools and interconnectivity, which are all necessary to support a functioning digital ecosystem.
In this opinion piece, we touch upon the basic components of a Digital Health Ecosystem and how it can be optimised with health technology.
Content overview:
What is a Digital Health Ecosystem?
Why Do We Need Digital Health Ecosystems?
The Pros and Cons
The Potential
Digital Health Ecosystems to Watch
Download here:
https://velametis.com/the-potential-of-a-digital-health-ecosystem/
For more information contact: Slideshare@marcusevans.com
Presentation delivered by Joseph H. Schneider, MD, MBA, FAAP, Vice President and Chief Medical Information Officer and Medical Director, Clinical Informatics, North Texas, Baylor Scott and White Health at the marcus evans National Healthcare CMO/CMIO Summit 2015 at the Ritz-Carlton Buckhead Atlanta.
Embracing game-changing trends and innovations across telehealth, SDOH data integration, AI and gene editing is a great way to build on a promise of a better tomorrow. Go through this presentation to know the top healthcare trends to embrace in 2021.
Mark Behl Presents: 3 Up-and-Coming Digital Health Companies That Put Patient...Mark Behl
The biggest obstacle to population health innovation is existing legacy systems. By putting patient experience first, three startups are exemplifying what is possible in digital health.
Disruptive Innovation in Health Care: A Path to High Quality, Affordable Care?The Commonwealth Fund
Talk delivered by Eric Schneider, MD, MSc, FACP to the Anthem Advisory Board on April 11, 2018. Dr. Schneider discussed the challenges facing the U.S. health care system and the potential for disruptive innovation.
What the ONC's Proposed Rule on Information Blocking Means for Your WorkHealth Catalyst
Information blocking has been a hot-button issue for years as it has impeded innovation and patient healthcare options for too long. The 21st Century Cures Act (Cures Act) sought to eliminate these problems but information blocking persisted. However, in February 2019 the Office of the National Coordinator for Health Information Technology (ONC) announced a proposed rule with consequences to non-compliance with the Cures Act that may finally force true interoperability. As a healthcare decision maker you have a real opportunity to build an innovation strategy around these changes. To learn how, view this webinar.
True data interoperability enables innovation and better patient experience. In aggregate, both of these activities have the potential to accelerate the shift away from fee-for-service and towards fee-for-value healthcare. Dan Orenstein has spent much of his career providing legal counsel to healthcare organizations on regulatory and risk management issues as well as how to implement growth initiatives that comply with healthcare laws and regulations. That experience has made him an expert in applying policy to healthcare strategy. He has studied the proposed rule and in this webinar he will provide a summary of the existing legislation, implications of non-compliance with the proposed rule as well as insight into putting it into practice.
View this webinar and learn:
- To identify information blocking practices
- Seven exceptions to the information blocking provision and how they may apply to your work
- Summary of the public comments about the proposed rule and the overall perception of it in the industry
- The potential impact to your healthcare organization
A Healthcare Mergers Framework: How to Accelerate the BenefitsHealth Catalyst
Health system mergers can promise significant savings for participating organizations. Research, however, indicates as much as a tenfold gap between expectation and reality, with systems looking for a savings of 15 percent but more likely to realize savings around 1.5 percent.
Driving the merger expectation-reality disparity is a complex process that, without diligent preparation and strategy, makes it difficult for organizations to fully leverage cost synergies. With the right framework, however, health systems can achieve the process management, data sharing, and governance structure to align leadership, clinicians, and all stakeholders around merger goals.
Streamline denial management process with intelligent automationRuchi Jain
Claim Denial management is a challenging process. Increased Denials can adversely affect revenue cycle operations. Ensuring accurate medical records can be difficult, with exponential growth in the administrative cost of denial claims. It can affect care delivery and hamper cash flow processes.
Harnessing the Power of Healthcare Data: Are We There YetHealth Catalyst
What can healthcare learn from Formula One racing? According to Dr. Sadiqa Mahmood, SVP of medical affairs and life sciences for Health Catalyst, race support teams leverage about 30TB of baseline data to create a digital twin of the car, track, and racer for simulation models that drive decisions at each race. Applied in the healthcare setting, a digital twin can help clinicians better understand each patient and their health conditions and circumstances in real time and make comprehensive, informed care decisions. But for the healthcare digital twin to happen, the industry must move away from data silos and towards a digital learning healthcare ecosystem.
Healthcare in Digital Age
by Assit. Prof. Polawat Witoolkollachit,MD
Present for the 3rd Samitivej Sriracha Medical Symposium 2018 "CQI & Innovation in Healthcare 4.0"
Leveraging Big Data for Improving Population Health ManagementLeo Barella
Health Care reform redefined how individuals can obtain health insurance. Providers will receive incentives on positive outcomes which will lead to their increased interest in improving the health not only of the patients they visit in their offices but the patients they seldom see. The information available about their patients is growing rapidly and can be harvested from sources that are not typically linked to medical records. In this session you will learn about emerging sources of data and the use of advanced analytics that can lead to the proactive improvement of population health and wellness.
HealthSaaS Overview Deck October 2014 (RPM, Home Health)HealthSaaS, Inc.
The HealthSaaS Connected Outcomes Platform removes silo barriers to connect, aggregate and integrate disparate data from mHealth applications and Remote Patient Monitoring (RPM) devices.
Our services provide HIPAA secure data to the “point of care” wherever the clinician is located. Enabling clinicians to rapidly respond to clinically relevant patient health information can facilitate early interventions, reduce hospital admissions, improve outcomes and lower costs.
Our passion empowers us to create eHealth collaboration tools that enhance provider efficiencies, track outcomes and improve the quality of life for patients throughout the continuum of care.
For more information contact: Slideshare@marcusevans.com
Presentation delivered by Joseph H. Schneider, MD, MBA, FAAP, Vice President and Chief Medical Information Officer and Medical Director, Clinical Informatics, North Texas, Baylor Scott and White Health at the marcus evans National Healthcare CMO/CMIO Summit 2015 at the Ritz-Carlton Buckhead Atlanta.
Embracing game-changing trends and innovations across telehealth, SDOH data integration, AI and gene editing is a great way to build on a promise of a better tomorrow. Go through this presentation to know the top healthcare trends to embrace in 2021.
Mark Behl Presents: 3 Up-and-Coming Digital Health Companies That Put Patient...Mark Behl
The biggest obstacle to population health innovation is existing legacy systems. By putting patient experience first, three startups are exemplifying what is possible in digital health.
Disruptive Innovation in Health Care: A Path to High Quality, Affordable Care?The Commonwealth Fund
Talk delivered by Eric Schneider, MD, MSc, FACP to the Anthem Advisory Board on April 11, 2018. Dr. Schneider discussed the challenges facing the U.S. health care system and the potential for disruptive innovation.
What the ONC's Proposed Rule on Information Blocking Means for Your WorkHealth Catalyst
Information blocking has been a hot-button issue for years as it has impeded innovation and patient healthcare options for too long. The 21st Century Cures Act (Cures Act) sought to eliminate these problems but information blocking persisted. However, in February 2019 the Office of the National Coordinator for Health Information Technology (ONC) announced a proposed rule with consequences to non-compliance with the Cures Act that may finally force true interoperability. As a healthcare decision maker you have a real opportunity to build an innovation strategy around these changes. To learn how, view this webinar.
True data interoperability enables innovation and better patient experience. In aggregate, both of these activities have the potential to accelerate the shift away from fee-for-service and towards fee-for-value healthcare. Dan Orenstein has spent much of his career providing legal counsel to healthcare organizations on regulatory and risk management issues as well as how to implement growth initiatives that comply with healthcare laws and regulations. That experience has made him an expert in applying policy to healthcare strategy. He has studied the proposed rule and in this webinar he will provide a summary of the existing legislation, implications of non-compliance with the proposed rule as well as insight into putting it into practice.
View this webinar and learn:
- To identify information blocking practices
- Seven exceptions to the information blocking provision and how they may apply to your work
- Summary of the public comments about the proposed rule and the overall perception of it in the industry
- The potential impact to your healthcare organization
A Healthcare Mergers Framework: How to Accelerate the BenefitsHealth Catalyst
Health system mergers can promise significant savings for participating organizations. Research, however, indicates as much as a tenfold gap between expectation and reality, with systems looking for a savings of 15 percent but more likely to realize savings around 1.5 percent.
Driving the merger expectation-reality disparity is a complex process that, without diligent preparation and strategy, makes it difficult for organizations to fully leverage cost synergies. With the right framework, however, health systems can achieve the process management, data sharing, and governance structure to align leadership, clinicians, and all stakeholders around merger goals.
Streamline denial management process with intelligent automationRuchi Jain
Claim Denial management is a challenging process. Increased Denials can adversely affect revenue cycle operations. Ensuring accurate medical records can be difficult, with exponential growth in the administrative cost of denial claims. It can affect care delivery and hamper cash flow processes.
Harnessing the Power of Healthcare Data: Are We There YetHealth Catalyst
What can healthcare learn from Formula One racing? According to Dr. Sadiqa Mahmood, SVP of medical affairs and life sciences for Health Catalyst, race support teams leverage about 30TB of baseline data to create a digital twin of the car, track, and racer for simulation models that drive decisions at each race. Applied in the healthcare setting, a digital twin can help clinicians better understand each patient and their health conditions and circumstances in real time and make comprehensive, informed care decisions. But for the healthcare digital twin to happen, the industry must move away from data silos and towards a digital learning healthcare ecosystem.
Healthcare in Digital Age
by Assit. Prof. Polawat Witoolkollachit,MD
Present for the 3rd Samitivej Sriracha Medical Symposium 2018 "CQI & Innovation in Healthcare 4.0"
Leveraging Big Data for Improving Population Health ManagementLeo Barella
Health Care reform redefined how individuals can obtain health insurance. Providers will receive incentives on positive outcomes which will lead to their increased interest in improving the health not only of the patients they visit in their offices but the patients they seldom see. The information available about their patients is growing rapidly and can be harvested from sources that are not typically linked to medical records. In this session you will learn about emerging sources of data and the use of advanced analytics that can lead to the proactive improvement of population health and wellness.
HealthSaaS Overview Deck October 2014 (RPM, Home Health)HealthSaaS, Inc.
The HealthSaaS Connected Outcomes Platform removes silo barriers to connect, aggregate and integrate disparate data from mHealth applications and Remote Patient Monitoring (RPM) devices.
Our services provide HIPAA secure data to the “point of care” wherever the clinician is located. Enabling clinicians to rapidly respond to clinically relevant patient health information can facilitate early interventions, reduce hospital admissions, improve outcomes and lower costs.
Our passion empowers us to create eHealth collaboration tools that enhance provider efficiencies, track outcomes and improve the quality of life for patients throughout the continuum of care.
Transforming Clinical Practice InitiativeCitiusTech
The Transforming Clinical Practice Initiative (TCPI) is designed to help small practices and clinicians achieve large-scale health transformation. The initiative is designed to support more than 140,000 clinician practices over four years duration in sharing, adapting and further developing their comprehensive quality improvement strategies. The TCPI is one part of a unique strategy advanced by the Affordable Care Act to strengthen the quality of patient care and manage health care expenditures, ultimately saving the taxpayer from substantial costs. This document describes the initiative in detail with the type of participants, eligibility and reporting requirements of the participants. Understanding the implementation of this initiative not only helps clinicians, but opens up a huge market for Healthcare IT companies offering the products and services like EHR implementation, Integration, EHR/ Data Migration, Implementation of HIE etc.
Best Practices for Enabling HIE and Incorporating Capabilities into EHR Workf...Justin Campbell
Health Information Exchange (HIE) allows health care providers to access and share a patient’s medical information securely and electronically, providing a unified view of patient data across health care organizations. HIE enhances clinicians’ workflow and their ability to connect, coordinate, and collaborate on patient care quickly and easily. However, health care organizations frequently struggle with last-mile connectivity from their clinical system of record to the receiving system and incorporating HIE capabilities into EHR workflows. This session will provide a framework for successful HIE onboarding including data access, conformance testing & validation, as well as share strategies for implementing HIE capabilities at the point of care. This session will also introduce the concept of Patient Centered Data Home and illustrate how the exchange of information utilizing the PCDH model is a cost-effective, scalable solution to assuring real-time clinical data is available whenever and wherever care occurs to improve the quality of care.
Keynote Presentation delivered by Marvin O’Quinn, Executive Vice President and Chief Operating Officer, Dignity Health at the marcus evans National Healthcare CXO Summit Spring 2018 held in Orlando FL
Patient-Centered Medical Home: The Process and InitiativeGreenway Health
Learn more about the process and initiative of the Patient-Centered Medical Home model. This slideshow highlights the legislation, programs involved, and how to receive the PCMH certification and incentive funds.
How Northwestern Medicine is Leveraging Epic to Enable Value-Based CarePerficient, Inc.
Value-based care and payment reform are prompting hospitals and healthcare providers to more closely manage population health. Hospitals and health systems rely on technology and data to outline the characteristics of their population and identify high-risk patients in order to manage chronic diseases and deliver enhanced preventative care.
Our webinar covered how Cadence Health, now part of Northwestern Medicine, is leveraging the native capabilities of Epic to manage their population health initiatives and value-based care relationships across the continuum of care.
Our speakers:
-Analyzed how Epic’s Healthy Planet and Cogito platforms can be used to manage value-based care initiatives.
-Examined the three steps for effective population health management: Collect data, analyze data and engage with patients.
-Covered how access to analytics allows physicians at Northwestern Medicine to deliver enhanced preventive care and better manage chronic diseases.
-Discussed Northwestern Medicine’s strategy to integrate data from Epic and other data sources.
Monday, July 20, 2015
11:00 am - 12:00 pm
Learn more about the technical framework and implementation of sPRL and how your organization can leverage this powerful tool.
Patient-Centered Care Requires Patient-Centered Insight: What We Can Do To C...Health Catalyst
Health systems and providers are inundated with measurement systems and reporting. Why would we want to add to the measurement mayhem? The real question is, “Are we measuring what matters?”
Carolyn Simpkins MD, PhD, chief medical informatics officer, will discuss how putting the patient at the center of the measurement matrix can bring coherence and completeness to the picture of care delivery performance across the patient journey, and therefore the performance of the healthcare ecosystem.
She will describe the building blocks for patient-centered measurement and how other metrics, patient-reported outcomes, and patient satisfaction fit into this approach. Carolyn will also review the challenges that have kept health systems from completing a patient-centered outcomes approach and why we are poised to break through. Finally, she will share case studies of organizations who have begun to pioneer the use of patient centered metrics to improve care and outcomes.
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of 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 leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
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. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Acute scrotum is a general term referring to an emergency condition affecting the contents or the wall of the scrotum.
There are a number of conditions that present acutely, predominantly with pain and/or swelling
A careful and detailed history and examination, and in some cases, investigations allow differentiation between these diagnoses. A prompt diagnosis is essential as the patient may require urgent surgical intervention
Testicular torsion refers to twisting of the spermatic cord, causing ischaemia of the testicle.
Testicular torsion results from inadequate fixation of the testis to the tunica vaginalis producing ischemia from reduced arterial inflow and venous outflow obstruction.
The prevalence of testicular torsion in adult patients hospitalized with acute scrotal pain is approximately 25 to 50 percent
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...
HFMA - IT and DSRIP Technology Enabled Healthcare - Paul Contino
1. Focus on Technology: IT and DSRIP
Technology Enabling Healthcare
Paul Contino
Corporate Chief Technology Officer
NYC Health & Hospitals Corporation
Metropolitan New York Chapter HFMA Spring Academy 6/4/2015
2. Agenda
• Who We Are –
HHC and OneCity Health PPS
• DSRIP and Delivery System Reform
• Technology Enabled Healthcare
• Q&A
3. • Largest municipal healthcare organization in the U.S.
• $6.7 billion integrated healthcare delivery system
• Serving 1.4 million New Yorkers every year, including
475,000 uninsured
Facilities:
• 11 acute care hospitals
• 4 skilled nursing facilities
• 6 large diagnostic and treatment centers,
• Health and Home Care (in-home services)
• More than 80 community health clinics
• 420,000 member health plan (MetroPlus)
4.
5. Delivery System Reform Incentive
Payment Program (DSRIP)
As part of New York’s Medicaid
Redesign Team (MRT) Waiver
Amendment, DSRIP’s purpose is to
fundamentally restructure the health
care delivery system by reinvesting in
the Medicaid program, with the primary
goal of stabilizing the safety-net system
and reducing avoidable hospital use by
25% over 5 years.
Transition care delivery from a
volume to value base system
6. Delivery System Reform
better care, smarter spending, and healthier people
Current
Managing Illness
Evolving
Managing Wellness
Episode of Care
Fragmented Care
Hospital at center of
delivery system
Incentives for Volume
Fee-For-Service
Payment Systems
Population health and a system
of care for chronic illnesses
Coordinated Care
Pro-active primary care, well integrated with
specialty services. Hospitals care for
increasingly ill population
Incentives for Quality and Outcomes that are
evidence-based, measurable and improve health
and the quality of life
Value-based purchasing
Accountable Care Organizations
Medical Homes
Bundled payments / Risk contracts
Quality/cost transparency
7. DSRIP Programs Across the Country
Alaska
Hawaii
Michigan
California
Nevada
Oregon
Arizona
Utah
Idaho
Montana
Wyoming
Colorado
New Mexico
Nebraska
MaineVermont
New York
North Carolina
Georgia
South
Carolina
Florida
Alabama
Mississippi
Louisiana
Texas
Pennsylvania
Wisconsin
MinnesotaNorth Dakota
Ohio
West
Virginia
South Dakota
Arkansas
Missouri
Iowa
Illinois Indiana
Tennessee
Kentucky
Delaware
New Jersey
Connecticut
Massachusetts
New Hampshire
Virginia
Maryland
Rhode Island
District of Columbia
Kansas
Oklahoma
Washington
DSRIP
Implemented (6)
$6.67 B
five years
$0.06 B
three years
$11.40 B
five years
$6.42 B
five years
$0.63 B
five years
$0.58 B
three years
In development (3)
9. NYC’s largest Performing Provider
System (PPS).
It is sponsored by the NYC Health and
Hospitals Corporation (HHC).
Approximately 400 local and city-wide
community-based organizations and
healthcare providers form the PPS.
Represents a broad range of services
across the continuum of care
10. Community partners include:
• Behavioral health providers
• Certified home health agencies
• Diagnostic and treatment centers
• Long term care providers
• Health centers and FQHCs
• Health homes
• Other Hospitals & Health systems
• Skilled nursing facilities
• Substance abuse treatment programs
• Support service providers
11. DSRIP Projects
1 Create an Integrated Delivery System
2 Health Home At Risk Intervention Program
3 ED Care Triage for At Risk Populations
4 Reduce 30 day Readmissions for Chronic Health Conditions
5 Integration of Primary Care and Behavioral Health Services
6 Evidence Based Strategies for Disease Management in High Risk/Affected
Populations (Adults Only)
7 Expansion of Asthma Home Based Self Management Program
8 Integration of Palliative Care into the PCMH Model
9 Strengthen Mental Health and Substance Abuse Infrastructure across Systems
10 Increase early access to, and retention in, HIV care
11 Implementation of Patient Activation Activities to Engage, Educate and
Integrate the uninsured and low/non utilizing Medicaid populations into
Community Based Care
12. Key Technology Supporting DSRIP
Electronic Health Records (EHR)
Care Coordination Management System
Health Information Exchange (HIE)
Clinical Record Locator Service (CRLS) & Master
Data Management (MDM)
Performance Management & Analytics
Contact Center
Telehealth & Remote Patient Monitoring
13. Electronic Health Records (EHR)
Eligible Partners must have a MU2 Certified EHRs
Some partners will not have EHRs and/or do not
qualify for MU (community-based organizations,
nursing homes, home health, behavioral health, etc.)
Primary care practices must meet 2014 NCQA Level
3 PCMH standards by Year 3.
EMR connectivity to RHIO (HIE)
14. Care Coordination Mgmt System
Integrated delivery network must perform care
coordination functions that are not typically
supported by today’s EHR systems.
Must be able to track patients across partners with
centralized registries, support individualized care
plans, referral tracking and portals for providers and
patient engagement.
Support multi-disciplinary care teams
Will extend beyond participants with
EHRs such as Behavioral health and
non-clinical participants in the
community (housing, social services,
etc)
15. Health Information Exchange
Partners will be required to have connectivity to HIE
and support the SHIN-NY
DIRECT Secure Messaging (HISP)
Event Notification (ADT Alerts)
Partner connectivity from EMR or CCMS to HIE
Private HIE
HIE
16. Clinical Record Locator Service
(CRLS) & Master Data Management
(MDM)
Matching of patient records from multiple partners to
create a unique PPS-wide patient identifier
Establishes Patient Identity and allows linkage of
data across multiple sources (EMR, CCMS, MCO,
NYS Claims, RHIO)
Provider Master registry
17. Performance Management & Analytics
Expansion of HHC Business Intelligence Capabilities
Gather, load, normalize, validate and store patient-
level data from multiple HHC and external sources
(clinical and claims data)
Quality Measures & Performance Management
Use for Population Health Management
PPS & Partner dashboards
Advanced analytic capabilities
Care Gaps / Disease Patterns
Predictive Modeling
Risk Stratification
19. Contact Center
A standardized patient services solution
Supporting current and planned DSRIP services,
including expanded patient navigation, scheduling and
referrals, appointment reminders
Leverage full capabilities and services of our partners
Improve patient satisfaction and experience
20. Telehealth &
Remote Patient Monitoring
Remote examination and treatment using audio and
video conferencing (eVisits)
home monitoring and mobile devices allow providers
to intervene quickly with high-risk patients.
21. Putting It All Together
EDW
A
B
C
Partners
Clinical Provider
EMR
Healthix
Interboro
BronxRHIO
Qualified Entities
Regional Health
Information
Organizations
SHIN-NY
ADT HL7
HealthShare
PPS
Health Information
Aggregation
ADT HL7
ADT HL7
Claims Feeds
NYS, MCO
CCMS
Composite Health Record
Provider Registry
Clinical Viewer
Clinical Message Delivery
Terminology
Consent Manager
MDM
Initiate
CRLS – Clinical Record
Locator Service
Patient and Provider
Identity Management
ADT
EMPI
Global PPS
HIM / Identity
Governance
Business Intelligence
Patient
Match Reports
ADT HL7
Performance Metrics /
Analytics
CCDA (Care Plan to EMR)
Standardized Medical Record data elements for MDF Reporting
Clinical and Claims Based Dashboards for Population Health
EMPI Medical Record Data
ADT HL7
EMPI
HHC EMR
QCPR / EPIC
Risk Stratification
22. Improving Care Delivery Efficiency
Emerging technologies
capable of connecting patients
with physicians, hospitals, and
other care providers include
wearable sensors for collecting
information about a patient’s
physiological condition, activity,
behaviors, and environment.
As data is collected, these
devices transmit information,
ultimately making it available to
care provider organizations.
25. Questions?
Paul Brian Contino
Corporate Chief Technology Officer
Enterprise Information Technology Services
NYC Health and Hospitals Corporation (HHC)
55 Water Street,
New York, NY 10041
Tel: 646-458-3888
Cell: 917-279-4760
paul.contino@nychhc.org
Editor's Notes
The New York City Health and Hospitals Corporation (HHC) is a $6.7 billion integrated healthcare delivery system with its own 420,000 member health plan, MetroPlus, and is the largest municipal healthcare organization in the country.
HHC is committed to making exemplary healthcare accessible to all New Yorkers, and will be playing a crucial role in delivery system transformation over the next five years through its leading role in DSRIP, the Delivery System Reform Incentive Payment program. Through DSRIP, NYS DOH has allocated $6.42 Billion Medicaid dollars to fundamentally restructure the health care delivery system to transition care delivery from a largely inpatient-focused system to a community-facing system that addresses both medical needs and social determinants of health.
DSRIP is a 5-year, performance payment-based program with primary goal of reducing avoidable hospital use by 25% over 5 years. At the end of program life, the aim is for the newly-transformed system to be sustainable.
HHC has formally partnered with hundreds of New York City provider and service organizations in order to achieve DSRIP transformation goals. This partnership is referred to by NYS DOH as a Performing Provider System (PPS), and the PPS led by HHC is called OneCity Health. HHC created a Central Services Organization (CSO) as a wholly-owned subsidiary of HHC, referred to as OneCity Health Services. The subsidiary's function is to provide operational, program, IT and other support to all OneCityHealth PPS partners and the OneCity Health governing bodies.
If you are not familiar with the HHC brand – you are likely to recognize many of our well known city hospitals such as Bellevue, Kings County, Elmhurst and Jacobi
Through DSRIP, NYS DOH has allocated $6.42 Billion Medicaid dollars to fundamentally restructure the health care delivery system to transition care delivery from a largely inpatient-focused system to a community-facing system that addresses both medical needs and social determinants of health
HHC is taking a leadership role in the Delivery System Reform Incentive Payment (DSRIP) process. We have applied to the state as a single, city-wide Performing Provider System (PPS) consisting of all our healthcare facilities, including our nursing homes, community health centers, home health agency and our insurance plan, MetroPlus. The HHC-led PPS, OneCity Health, has approximately 400 community based partners across the city whose work will be guided by the results of comprehensive community health assessments of the areas we serve. In response to those health appraisals, we will launch new initiatives to proactively meet the primary care needs of higher-risk patients, reduce 30-day readmissions, better address chronic health conditions, and enhance mental health and substance abuse programs. OneCity Health closely aligns and expands on HHC’s previous population health work and takes it to a next level of magnitude.
HHC is taking a leadership role in the Delivery System Reform Incentive Payment (DSRIP) process. We have applied to the state as a single, city-wide Performing Provider System (PPS) consisting of all our healthcare facilities, including our nursing homes, community health centers, home health agency and our insurance plan, MetroPlus. The HHC-led PPS, OneCity Health, has approximately 400 community based partners across the city whose work will be guided by the results of comprehensive community health assessments of the areas we serve. In response to those health appraisals, we will launch new initiatives to proactively meet the primary care needs of higher-risk patients, reduce 30-day readmissions, better address chronic health conditions, and enhance mental health and substance abuse programs. OneCity Health closely aligns and expands on HHC’s previous population health work and takes it to a next level of magnitude.