DxSocial Business Case
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DxSocial matches patients to doctors using the electronic medical record. This solution is SMARTER and saves costs. Everyone wins!
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DxSocial Business Case
Read the business case for DxSocial's SMART approach to building healthier healthcare relationships. By DxSocial founder Alec Permison.
Ink space berkeley 2015
The document provides information about a team working on improving MRI coils. Over 10 weeks, the team conducted interviews with various medical experts and learned that their original hypotheses were incorrect. They discovered that hospitals almost never purchase equipment directly from small vendors. Instead, MRI coils are usually bundled with scanners and purchased from large OEM manufacturers. The team updated their business model based on these learnings and realized they need to focus on creating value for OEMs in order to be successful.
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The document summarizes the findings from an investigation into developing a smart home monitoring system to help families care for loved ones with dementia. Over 12 weeks, the team conducted interviews and built prototypes to understand customer needs. They initially focused on too many use cases, but learned safety monitoring was key. The team identified the target customer as adult children caring for mildly moderate stage parents from a distance. Moving forward, the team plans pilot studies and partnerships to validate the product and business model.
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This briefing was presented at the Military Electronic Healthcare Records Symposium in Washington DC. It answers the following questions:
* Is disruptive innovation in military healthcare technology possible?
* What does innovation in military healthcare mean?
* Where are the major areas in military healthcare where innovation is required?
Predicting the Future of Predictive Analytics in Healthcare
This is the latest version of a slide deck that discusses some of the less technical, but very important issues, related to the effective use of predictive analytics in healthcare.
Recommended
DxSocial Business Case
Read the business case for DxSocial's SMART approach to building healthier healthcare relationships. By DxSocial founder Alec Permison.
Ink space berkeley 2015
The document provides information about a team working on improving MRI coils. Over 10 weeks, the team conducted interviews with various medical experts and learned that their original hypotheses were incorrect. They discovered that hospitals almost never purchase equipment directly from small vendors. Instead, MRI coils are usually bundled with scanners and purchased from large OEM manufacturers. The team updated their business model based on these learnings and realized they need to focus on creating value for OEMs in order to be successful.
Integrating Design Using the Native Language of Healthcare
This document discusses integrating design thinking into healthcare. It describes Joyce Lee's background in pediatrics, clinical research, and participatory design. It outlines efforts to engage students in design workshops and create apps for managing diabetes. The document proposes achieving greater adoption of design in healthcare and measuring return on investment. It presents a quality improvement project using interventions like depression screening and shared decision making to improve diabetes outcomes. Throughout, it emphasizes designing with patients and caregivers and not accepting the status quo.
Nest sense berkeley 2015
The document summarizes the findings from an investigation into developing a smart home monitoring system to help families care for loved ones with dementia. Over 12 weeks, the team conducted interviews and built prototypes to understand customer needs. They initially focused on too many use cases, but learned safety monitoring was key. The team identified the target customer as adult children caring for mildly moderate stage parents from a distance. Moving forward, the team plans pilot studies and partnerships to validate the product and business model.
When Perfect Algorithms Meet Imperfect Healthcare Systems: My talk at the Mac...
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* Is disruptive innovation in military healthcare technology possible?
* What does innovation in military healthcare mean?
* Where are the major areas in military healthcare where innovation is required?
Predicting the Future of Predictive Analytics in Healthcare
This is the latest version of a slide deck that discusses some of the less technical, but very important issues, related to the effective use of predictive analytics in healthcare.
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This document presents opposing viewpoints on whether doctors should purchase an electronic medical record (EMR) system now. On the "point" side, Dr. Gregory Hood argues that now is not the time for an EMR purchase, as it requires significant time and resources to implement properly. Adopting an EMR solely for financial incentives may not be worthwhile. On the "counterpoint" side, Dr. Joseph Scherger argues that now is the time for doctors to purchase an EMR to take advantage of government stimulus funds, improved affordability, and the need to adopt EMRs as the new standard of care.
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This document discusses the growing field of mHealth, which leverages mobile technologies for health purposes. It outlines how mobile phones can take medical histories, store medical textbooks, and enable remote video consultations with doctors. The document argues that medical and mobile devices are converging, and that mobile services will take the largest share of industry revenues. It promotes the 3GDoctor website for obtaining documented video consultations with registered doctors using a mobile phone.
3G Doctor slide deck Scottish Telehealth and Telecare Summit
This document discusses the growing field of mHealth and mobile medical consultations. It describes a service called 3GDoctor that allows users to have video consultations with registered doctors anytime for £35, receive documentation of the consultation, and view/print a comprehensive report. The document suggests that mobile devices are increasingly being used for health purposes like storing medical textbooks, documenting medical histories, and enabling remote consultations. It advocates embracing these mobile health technologies to improve access to care and reduce waste.
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These 3 questions were discussed:
1. How should human and machine collaborate? What skills are required?
2. Will machines replace (most) jobs?
3. Will there be new jobs to enable human-machine collaboration?
Drawing on Dervin's Sense-Making Methodology, Bonnie reminded us that human beings are not robotic machines. Human beings have feelings, experience, we are both scientists and artists, we are analytics and we are emotional.
Bonnie asked the audience how would you like to build a high performance team? Who do you want to put in the team? Do you want everyone to have the same strength, same skills? Or would you pick a team making up of players who can complement one another, and can bring out the best of one another. So in order to propose how human and machine should collaborate in the future of work, it is useful to first ask: what is the strength of human beings? What is the strength of the machine? We need to understanding how AI-driven machines learn vs how human beings learned, and play to one another's strength. And what is the strength of human? It is being human. Let the machine handle the deductive reasoning, the data-driven predictions, repetitive tasks. Let the humans do what we do well, adapting, navigating the unknown, use our human skills, promote collective sense making to make judgement, decisions. And free up the time to allow us to learn, create and innovate.
Bonnie highlighted that there are many unknowns as to how AI will be further developed, and there are ethical issues and risks that have to be addressed, and there are no precedents to follow. Collective human sense making is critical to bring out multiple perspectives from different stakeholders, to co-create AI-driven machines that human beings can trust, and to collectively address tricky ethical issues early on. Dervin’s Sense-Making Metaphor is introduced to facilitate two-way dialogue, to address power issues, and to explore common and divergent views to build common understanding of potential challenges, and co-create solutions to address them.
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Wrong conclusions in your analytics can cause waste and disillusionment, not to mention suboptimal outcomes that may take months or even years to recover from. But analytic analysis isn’t about perfection—it’s about getting to the right answer by quickly getting to the wrong one.
In this interactive webinar, Jason Jones, chief data scientist at Health Catalyst, walks through scenarios that illustrate how commonly used analytic methods can lead analysts and leaders to the wrong conclusions, and shares how to course correct if this happens to you. In health and healthcare, leaders drive change by understanding and supporting better approaches, and analytics provide the best foundation for informed change management. Let’s work together to shift towards a better use of AI in healthcare.
View this webinar to learn:
- How analysis of the same data set can result in different conclusions.
- Tools and techniques to get your organization back on track after a misstep.
- Lessons from two case studies that will help you drive better analytics in your own organization.
Hi ssies 2013
The document summarizes the winners of the Sixth Annual HISsies Awards which honors the best and worst of healthcare IT as voted by readers of HIStalk. Some of the categories included smartest and stupidest vendor actions, best and worst healthcare IT vendors, most effective healthcare IT executives, and lifetime achievement awards. Winners included Epic, Allscripts, Kaiser Permanente, and Judy Faulkner of Epic who won multiple categories.
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Transforming Healthcare: The Promise of Innovation
A number of powerful technologies are on the verge of producing dramatic change in how, when and where care is delivered, including artificial intelligence, genomics, monitoring sensors, robotics, nanotechnology, 3D printing, mobile computing technologies and others. This technology-driven change will dramatically impact all healthcare providers, and it will propel healthcare into the realm of Big Data.
Participants will:
Appreciate the role of innovation in healthcare's future.
Understand the classes of technology that will foster innovation and drive change.
Learn how technology-driven change will support data-driven improvement and population health management.
Know how these technologies will impact analytics.
Understand the application of transformational principles in light of the many engaging practitioner discussions at the recently concluded Health Analytics Summit.
The future is becoming clearer and it promises to be exciting, impactful, and powerful for patients and healthcare providers alike.
Building a Data Warehouse at Clover (PDF)
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Getting Beyond the Hype of “Disrupting Healthcare” and Focusing on Actionable...
This was a Keynote Address I gave at Healthcare Unbound 2013 and focused on what’s needed for healthcare technology innovation in a value- and outcomes-driven model.
There’s a ton of hype surrounding disruptive technology innovation in healthcare but nothing is truly making a dent in the healthcare sector the same way as disruptions have occurred in other major segments of our economy. The slow but sure march from Fee For Service Based Care to Outcomes Driven Care has certainly started but it’s neither fast enough nor substantial enough to bend the cost curve or improve value to patients in the short term.
This presentation discusses how we can get beyond the hype by focusing on actionable innovation. Specifically, I answered the following questions:
* What does innovation in healthcare mean?
* Where are the major areas in healthcare where innovation is required?
Important takeaways this session included:
* Understand PBU: Payer vs. Benefiter vs. User
* Understand why healthcare businesses buy stuff so you can build the right thing
Richard Samuel: 'Big Data - Setting the Scene'
The first presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Predictive modelling in healthcare distributable - Rob Smith, IBM
The seventh presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Building Analytic Acumen with Less Classroom "Training" and More Learning
Froedtert & the Medical College of Wisconsin is a large academic and community health system consisting of hospitals, health centers, physicians, and other services across southeastern Wisconsin. They discuss building analytic acumen across their large organization by moving beyond traditional classroom training to focus on competency-based learning through online courses, assessments, and learning bursts tailored to different roles. Early results show improvements in analytics and improvement literacy across key competencies after implementing their new competency-driven learning approach.
Dr. David Berg: Direct Care - A Blue Ocean Strategy
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eBook - Data Analytics in Healthcare
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Communique summer12
The document discusses quality management in anesthesia practices. It introduces the Anesthesia Incident Reporting System (AIRS), which allows providers to anonymously report unintended events or "near misses" that did not harm patients but had potential to. Near misses provide teaching opportunities at morbidity and mortality conferences. Mature practices encourage self-reporting of near misses through online forms or other methods. Reported cases are reviewed to identify those with educational value for discussing key decision points with the goal of improving patient safety.
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This document discusses partnering for success in healthcare IT leadership. It provides strategies for building trusted relationships, embracing change, and shifting the focus from technology management to strategic business partnerships. Approaches include being open, a problem solver, agile, and willing to empower teams and make difficult decisions. The changing role of the healthcare IT leader is also addressed, such as anticipating change, having strong change management skills, and developing a broad industry network to address challenges from resistors. The overall message is that partnership, communication, and adaptability are key for healthcare IT leaders to successfully guide their organizations through a rapidly changing environment.
CAA2018 Predictive Analytics
This document discusses strategies for improving life insurance underwriting processes. It outlines traditional multi-step underwriting stacks that can take over a month versus accelerated processes using new analytics that can provide results in minutes. The document advocates using behavioral science to improve how medical questions are asked. It also explores using new data sources like credit scores, facial analytics, and marketing data to supplement underwriting decisions. The goal is to streamline underwriting while still accurately assessing risk to provide more immediate insurance coverage at a lower cost and with a better customer experience.
The transformation of how we use data - Simon Beaumont
The sixth presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
'Big Data Little Disease' - OBH and Big Data Partnership
The third presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
2013 HealthTech Conference Notes
Panel 1: What are the Unmet Needs of the Providers?
Panel 2: How Will Payment and Insurance Changes Affect Healthcare Delivery?
Panel 3: Early Business Partners for Young HealthTech Companies
Panel 4: How is Mobile Health Changing Aging at Home?
HealthPanel Concept pitchdeck
HealthPanel is a platform that connects users to health experts for personalized consultations and shares health data to provide actionable advice. It aims to make healthcare more convenient, accessible, and results-oriented through a feedback loop model. By leveraging diagnostic testing, lifestyle data, and continuous accountability, HealthPanel believes it can help users take control of their health and avoid disease. It sees an opportunity in disrupting traditional healthcare models through personalized, software-based solutions that are simple for everyday people to use.
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EMR Yes- No
This document presents opposing viewpoints on whether doctors should purchase an electronic medical record (EMR) system now. On the "point" side, Dr. Gregory Hood argues that now is not the time for an EMR purchase, as it requires significant time and resources to implement properly. Adopting an EMR solely for financial incentives may not be worthwhile. On the "counterpoint" side, Dr. Joseph Scherger argues that now is the time for doctors to purchase an EMR to take advantage of government stimulus funds, improved affordability, and the need to adopt EMRs as the new standard of care.
David Doherty slide deck 3G Doctor at the Scottish Telehealth and Telecare Su...
This document discusses the growing field of mHealth, which leverages mobile technologies for health purposes. It outlines how mobile phones can take medical histories, store medical textbooks, and enable remote video consultations with doctors. The document argues that medical and mobile devices are converging, and that mobile services will take the largest share of industry revenues. It promotes the 3GDoctor website for obtaining documented video consultations with registered doctors using a mobile phone.
3G Doctor slide deck Scottish Telehealth and Telecare Summit
This document discusses the growing field of mHealth and mobile medical consultations. It describes a service called 3GDoctor that allows users to have video consultations with registered doctors anytime for £35, receive documentation of the consultation, and view/print a comprehensive report. The document suggests that mobile devices are increasingly being used for health purposes like storing medical textbooks, documenting medical histories, and enabling remote consultations. It advocates embracing these mobile health technologies to improve access to care and reduce waste.
Dr Bonnie Cheuk IDC Future of Work Keynote: Workforce Transformation Human Ma...
Dr Bonnie Cheuk, AstraZeneca Digital Transformation & Global Capability Leader (Learning Culture and Learning Agility), delivered a keynote at IDC Future of Work Conference on 3 Mar 2020. She provoked the audience to go beyond the hype, and think deeper on how human and AI and data-driven Machine collaborate together.
These 3 questions were discussed:
1. How should human and machine collaborate? What skills are required?
2. Will machines replace (most) jobs?
3. Will there be new jobs to enable human-machine collaboration?
Drawing on Dervin's Sense-Making Methodology, Bonnie reminded us that human beings are not robotic machines. Human beings have feelings, experience, we are both scientists and artists, we are analytics and we are emotional.
Bonnie asked the audience how would you like to build a high performance team? Who do you want to put in the team? Do you want everyone to have the same strength, same skills? Or would you pick a team making up of players who can complement one another, and can bring out the best of one another. So in order to propose how human and machine should collaborate in the future of work, it is useful to first ask: what is the strength of human beings? What is the strength of the machine? We need to understanding how AI-driven machines learn vs how human beings learned, and play to one another's strength. And what is the strength of human? It is being human. Let the machine handle the deductive reasoning, the data-driven predictions, repetitive tasks. Let the humans do what we do well, adapting, navigating the unknown, use our human skills, promote collective sense making to make judgement, decisions. And free up the time to allow us to learn, create and innovate.
Bonnie highlighted that there are many unknowns as to how AI will be further developed, and there are ethical issues and risks that have to be addressed, and there are no precedents to follow. Collective human sense making is critical to bring out multiple perspectives from different stakeholders, to co-create AI-driven machines that human beings can trust, and to collectively address tricky ethical issues early on. Dervin’s Sense-Making Metaphor is introduced to facilitate two-way dialogue, to address power issues, and to explore common and divergent views to build common understanding of potential challenges, and co-create solutions to address them.
Getting to the Wrong Answer Faster with Your Analytics: Shifting to a Better ...
Wrong conclusions in your analytics can cause waste and disillusionment, not to mention suboptimal outcomes that may take months or even years to recover from. But analytic analysis isn’t about perfection—it’s about getting to the right answer by quickly getting to the wrong one.
In this interactive webinar, Jason Jones, chief data scientist at Health Catalyst, walks through scenarios that illustrate how commonly used analytic methods can lead analysts and leaders to the wrong conclusions, and shares how to course correct if this happens to you. In health and healthcare, leaders drive change by understanding and supporting better approaches, and analytics provide the best foundation for informed change management. Let’s work together to shift towards a better use of AI in healthcare.
View this webinar to learn:
- How analysis of the same data set can result in different conclusions.
- Tools and techniques to get your organization back on track after a misstep.
- Lessons from two case studies that will help you drive better analytics in your own organization.
Hi ssies 2013
The document summarizes the winners of the Sixth Annual HISsies Awards which honors the best and worst of healthcare IT as voted by readers of HIStalk. Some of the categories included smartest and stupidest vendor actions, best and worst healthcare IT vendors, most effective healthcare IT executives, and lifetime achievement awards. Winners included Epic, Allscripts, Kaiser Permanente, and Judy Faulkner of Epic who won multiple categories.
Delivering the Healthcare Pricing Transparency That Consumers Are Demanding
Can you imagine having your detailed healthcare pricing published in the Wall Street Journal? The thought makes most health systems cringe with concern that they’d lose money on the unknown. And yet every other major consumer category includes pricing up front. Amazingly, one health system has developed just such a care model for most major specialties that is predictable and completely transparent. Join us in this webinar to learn how they did it. You’ll get amazing insight into the importance of their quality measures and actual, daily costing for each procedure, not just allocated costs.
Transforming Healthcare: The Promise of Innovation
A number of powerful technologies are on the verge of producing dramatic change in how, when and where care is delivered, including artificial intelligence, genomics, monitoring sensors, robotics, nanotechnology, 3D printing, mobile computing technologies and others. This technology-driven change will dramatically impact all healthcare providers, and it will propel healthcare into the realm of Big Data.
Participants will:
Appreciate the role of innovation in healthcare's future.
Understand the classes of technology that will foster innovation and drive change.
Learn how technology-driven change will support data-driven improvement and population health management.
Know how these technologies will impact analytics.
Understand the application of transformational principles in light of the many engaging practitioner discussions at the recently concluded Health Analytics Summit.
The future is becoming clearer and it promises to be exciting, impactful, and powerful for patients and healthcare providers alike.
Building a Data Warehouse at Clover (PDF)
A brief tour of why we focused on building out a data warehouse early on at Clover, and why we think the Data Science function has room to grow in health insurance.
Getting Beyond the Hype of “Disrupting Healthcare” and Focusing on Actionable...
This was a Keynote Address I gave at Healthcare Unbound 2013 and focused on what’s needed for healthcare technology innovation in a value- and outcomes-driven model.
There’s a ton of hype surrounding disruptive technology innovation in healthcare but nothing is truly making a dent in the healthcare sector the same way as disruptions have occurred in other major segments of our economy. The slow but sure march from Fee For Service Based Care to Outcomes Driven Care has certainly started but it’s neither fast enough nor substantial enough to bend the cost curve or improve value to patients in the short term.
This presentation discusses how we can get beyond the hype by focusing on actionable innovation. Specifically, I answered the following questions:
* What does innovation in healthcare mean?
* Where are the major areas in healthcare where innovation is required?
Important takeaways this session included:
* Understand PBU: Payer vs. Benefiter vs. User
* Understand why healthcare businesses buy stuff so you can build the right thing
Richard Samuel: 'Big Data - Setting the Scene'
The first presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Predictive modelling in healthcare distributable - Rob Smith, IBM
The seventh presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Building Analytic Acumen with Less Classroom "Training" and More Learning
Froedtert & the Medical College of Wisconsin is a large academic and community health system consisting of hospitals, health centers, physicians, and other services across southeastern Wisconsin. They discuss building analytic acumen across their large organization by moving beyond traditional classroom training to focus on competency-based learning through online courses, assessments, and learning bursts tailored to different roles. Early results show improvements in analytics and improvement literacy across key competencies after implementing their new competency-driven learning approach.
Dr. David Berg: Direct Care - A Blue Ocean Strategy
Dr. David Berg will outline how Redirect Health is using DPC to build complete healthcare products for a totally unaddressed portion of the healthcare market, enabling small businesses to provide excellent health benefits to hourly wage workers at an incredibly affordable cost.
eBook - Data Analytics in Healthcare
Gain insights from data analytics and take action! Learn why everyone is making a big deal about big data in healthcare and how data analytics creates action.
Communique summer12
The document discusses quality management in anesthesia practices. It introduces the Anesthesia Incident Reporting System (AIRS), which allows providers to anonymously report unintended events or "near misses" that did not harm patients but had potential to. Near misses provide teaching opportunities at morbidity and mortality conferences. Mature practices encourage self-reporting of near misses through online forms or other methods. Reported cases are reviewed to identify those with educational value for discussing key decision points with the goal of improving patient safety.
2015 Houston CHIME Lead Forum
This document discusses partnering for success in healthcare IT leadership. It provides strategies for building trusted relationships, embracing change, and shifting the focus from technology management to strategic business partnerships. Approaches include being open, a problem solver, agile, and willing to empower teams and make difficult decisions. The changing role of the healthcare IT leader is also addressed, such as anticipating change, having strong change management skills, and developing a broad industry network to address challenges from resistors. The overall message is that partnership, communication, and adaptability are key for healthcare IT leaders to successfully guide their organizations through a rapidly changing environment.
CAA2018 Predictive Analytics
This document discusses strategies for improving life insurance underwriting processes. It outlines traditional multi-step underwriting stacks that can take over a month versus accelerated processes using new analytics that can provide results in minutes. The document advocates using behavioral science to improve how medical questions are asked. It also explores using new data sources like credit scores, facial analytics, and marketing data to supplement underwriting decisions. The goal is to streamline underwriting while still accurately assessing risk to provide more immediate insurance coverage at a lower cost and with a better customer experience.
The transformation of how we use data - Simon Beaumont
The sixth presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
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The third presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
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Getting to the Wrong Answer Faster with Your Analytics: Shifting to a Better ...
Delivering the Healthcare Pricing Transparency That Consumers Are Demanding
Delivering the Healthcare Pricing Transparency That Consumers Are Demanding
Transforming Healthcare: The Promise of Innovation
Transforming Healthcare: The Promise of Innovation
Getting Beyond the Hype of “Disrupting Healthcare” and Focusing on Actionable...
Getting Beyond the Hype of “Disrupting Healthcare” and Focusing on Actionable...
Predictive modelling in healthcare distributable - Rob Smith, IBM
Predictive modelling in healthcare distributable - Rob Smith, IBM
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Building Analytic Acumen with Less Classroom "Training" and More Learning
Dr. David Berg: Direct Care - A Blue Ocean Strategy
Dr. David Berg: Direct Care - A Blue Ocean Strategy
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The transformation of how we use data - Simon Beaumont
'Big Data Little Disease' - OBH and Big Data Partnership
'Big Data Little Disease' - OBH and Big Data Partnership
Similar to DxSocial Business Case
2013 HealthTech Conference Notes
Panel 1: What are the Unmet Needs of the Providers?
Panel 2: How Will Payment and Insurance Changes Affect Healthcare Delivery?
Panel 3: Early Business Partners for Young HealthTech Companies
Panel 4: How is Mobile Health Changing Aging at Home?
HealthPanel Concept pitchdeck
HealthPanel is a platform that connects users to health experts for personalized consultations and shares health data to provide actionable advice. It aims to make healthcare more convenient, accessible, and results-oriented through a feedback loop model. By leveraging diagnostic testing, lifestyle data, and continuous accountability, HealthPanel believes it can help users take control of their health and avoid disease. It sees an opportunity in disrupting traditional healthcare models through personalized, software-based solutions that are simple for everyday people to use.
GMADE presentation
The document discusses various online tools and resources available for diabetics and healthcare providers to communicate and connect, including apps, online communities, and platforms for sharing health data. It outlines benefits like easier monitoring between appointments and challenges like privacy concerns and reimbursement issues. Potential online resources mentioned include dLife, Lenny the Lion, GlucoseBuddy, CareLink, Facebook, Twitter, Children with Diabetes, Diabetes Daily, and tuDiabetes.
AMDIS CHIME Fall Symposium
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This document summarizes a presentation on diabetes therapies and technology. The presentation discusses:
- The promise and pitfalls of emerging diabetes technologies and ensuring patient safety.
- How the roles of health professionals and patients may change with more connected health solutions and data access.
- The importance of balancing positive and negative hype around new technologies to manage patient expectations.
- Ensuring privacy and security as health data becomes more connected while still providing high-touch patient care.
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The document discusses OSEHRA (Open Source Electronic Health Record Alliance) and its potential as a business opportunity for health IT vendors and system integrators. It notes that OSEHRA provides open source software that can satisfy most healthcare IT needs, and that OSEHRA code, technologies, and common certification criteria present opportunities for new businesses and revenue streams in areas like hosting, testing, and documentation. The talk will argue that OSEHRA represents a major business opportunity for ISVs and systems integrators to develop new or augmented products and services.
Rock Report: Personalization in Consumer Health by @Rock_Health
Overview of personalization in healthcare, including opportunities, barriers and case studies related to a market estimated to reach $450B+ by 2015. Purchase the report here: https://gumroad.com/l/XxcA
Foreword Hashem MD PhD
This document provides a foreword for "The Advanced Business of Medical Practice" book. It discusses the challenges facing physicians today and how information technology and creativity can help address these challenges. Several examples are provided of physicians innovatively using tools like Microsoft Access, Word, and PowerPoint to create electronic medical record systems and other solutions to problems in their practices. The foreword emphasizes that while pressures on doctors are high, so are their problem-solving abilities and willingness to find new ways of using technology to better serve patients.
DPC Overview - Final (long version)
This document provides an overview of the emerging Direct Primary Care (DPC) medical practice model. DPC charges monthly fees directly to patients, rather than billing insurance, in exchange for primary care services. The history of DPC is traced back to the late 1990s when some practices in Seattle began adopting this model. Key principles of DPC include a direct financial relationship with patients, increased time with providers, accessibility, and avoiding incentives of fee-for-service billing. The document examines several early DPC organizations, regulatory issues, perspectives of payers and consumers, and how technology supports the DPC model.
Misdiagnosis: pushing boundaries
This document proposes building a shared medical data repository and expert system to help reduce misdiagnoses. The key points are:
1. Misdiagnoses occur in up to 15% of cases due to testing or clinician errors, with many resulting in death, disability or prolonged illness.
2. The proposal is to create a shared database of patient records, images, and test results that can be analyzed by expert systems to recommend possible diagnoses.
3. Existing technologies like IBM Watson show promise in processing patient symptoms and test results to suggest diagnoses, but a unified patient record system is still lacking.
The Sustainable Health Care Facility of the FutureTextbooks H.docx
The Sustainable Health Care Facility of the Future
Textbooks:
Hayward, C. (2006). Healthcare Facility Planning: Thinking Strategically. Chicago, IL: Health Administration Press.
Vickery, C.G., Nyberg, G., & Whiteaker, D. (2015). Modern Clinic Design: Strategies for an Era of Change. Hoboken, NJ: Wiley.
Instructions: Please ensure to substantiate your response with scholarly sources and/or also a personal account of your own experience in the work place or personal life. Cite and reference work! Must be 150 -200 word count.
What reactions do you have to the ideas they presented? Include examples from the course readings or your own experience to support your perspective, and raise questions to continue the dialogue. 100 to 150 words for questions 1, 2, 6, 9, 10 & 11.
1. I agree that the changes made with CMS (center for Medicare and Medicaid Services) how changed the guidelines for how providers can bill for services. One of the biggest changes was the upgrade of ICD codes which has expanded enormously to be more specific with diagnosis and services to bill for. I work for a program of hospice, called palliative care, and the change over from using ICD9 codes to ICD10 was a very large task that took time to switch over to but I have come to realize that changes in health care are inevitable and to be prepared for things to change constantly. With being a palliative care program I don't think the change was as big of an impact on us like I'm sure it was for a hospital. Our program provides education on disease progress for chronic illnesses such a chronic kidney disease, hypertension, diabetes, cancer, heart disease and so on. The amount of ICD 10 codes we use are minimal compared to what a hospital would see. Nonetheless the codes are way more specific now which can be challenging when trying to narrow down for accuracy.
2. I think training and feedback are two important aspects of implementing electronic medical records. The users are the most important stakeholders and they should be trained properly. Their feedback should be taken seriously as this helps with post implementation changes to the system. No one likes changes but change in any organization is essential. Technology has completely transformed the health care industry and from my experience resistance typically comes from the older generation who doesn't really understand the importance. Most are used to doing things manually. Most organizations are turning to the technology to transform their environment by cutting costs and ensuring that their revenues are coming in timely.
3. Open your web browser and search for videos, articles and other resources discussing the health care system in the United States. Look for new trends, current issues affecting the health care system, etc.
4. Discuss your findings with the class
5. As a healthcare leader, you will need to have a strong base with understanding healthcare systems. Where will health care be delivered in the future? ...
Affordable Care Act for lower-literacy audience
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Why does Amazon knows me better than my doctor?
This document discusses how Amazon provides better customer service than the healthcare system by knowing customers well and sharing information transparently, while healthcare provides poor service by not proactively sharing medical information with patients. It notes barriers to improving healthcare service including lack of familiarity with online health resources, trust in doctors over other sources, and reluctance of consumers and doctors to accept change. However, it also outlines some signs of progress through the growth of online health information and tools from insurers, and possibilities for the future such as remote care, group appointments, and effects of healthcare reform.
Ibm medical home_12032008
This document discusses the Medical Home model of primary care that aims to improve healthcare quality and reduce costs. Key points:
- The Medical Home model shifts primary care from episodic visits to long-term patient-physician relationships and holistic care management using technology like electronic health records.
- Early pilots show promise with cost savings of up to 11% and improved quality of care.
- Widespread adoption faces challenges of transforming medical practice culture and gaining insurance reimbursement changes, but advocates hope the new Obama administration will advance this model.
Why Healthcare Culture Must Change
1) The document discusses how healthcare culture must change to effectively adopt electronic health records (EHRs) and personal health records (PHRs).
2) Migrating from paper-based to electronic records is a "wicked problem" due to differing views among stakeholders and changing constraints.
3) An iterative approach considering people, processes, and platforms together is needed to solve complex problems in healthcare and drive innovation through technology.
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Transcript of a BriefingsDirect podcast on how the healthcare industry is poised to take advantage of enterprise architecture to bring benefits to patients, doctors, and allied health professionals.
Report yue
Systems Oriented Design
What is healthcare in the future? Design itself is an important power to make the healthcare system change a lot.
This project is aimed at exploring the future healthcare service in system thinking to make a holistic process and assumption of future system. Cardiovascular patients is a biggest group in the world. I hope working with this group can bring a lot of inspiration for other healthcare issue. In this project, I use strategy design, service design and interaction design method to create a hotlist service for cardiovascular patients out of the hospital. Nowadays a lot of people are suffering from longterm diseases and having high risk of cardiovascular. The food is a good way to address this problem. The meaning of the food and medicine are changing. The longterm medicine cause a mental problem at the beginning. The industry of medicine are struggling with their development, The goal of this project is to discuss the touchpoint food and medicine to address all the problems here, using system design methodology.
Brain Health Bulletin #7
Please enjoy our Brain Health Bulletin #7! Please feel free to forward this to anyone who may find benefit in receiving it! The Brain Health Bulletin is designed to be your quick reference to the latest information about brain health information, research, technology, cultural awareness for effective, inclusive, and compassionate treatment, care partner tools, and more!
To catch the latest episode of our new podcast, go to The Resilient Caregiver: Empowering Those Who Serve People Diagnosed with Dementia • A podcast on Anchor
Nurses and Data Science
The document summarizes the author's journey working with healthcare data and machine learning to improve clinical outcomes. It discusses challenges in translating data insights into action, and the need for collaboration between data scientists and medical professionals like nurses. Nurses understand healthcare interventions and how to improve patient outcomes, while data scientists create models but lack clinical expertise. The author provides their toolbox for finding opportunities and communicating skills to facilitate collaborations that leverage both data science and clinical knowledge.
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- 1. The Business Case for DxSocial's SMART Matching of Patients and Doctors Using Electronic Medical Records
- 2. “ DxSocial is like Match.com for patients and providers. Patients are matched to doctors who have treated similar patients. These doctors are more likely to solve their problems. “ It's a big plus for public health and consumer-driven healthcare. But the biggest winner could be managed care. Matching these resources more intelligently will reduce doctor shopping and the costs of unnecessary diagnostics and procedures. “ Like any innovation it seems like a no-brainer now. But it's not being done yet. I suffered with the old system and I want to change it.” – Alec Permison, DxSocial Founder Web Developer, and Former HMO Patient
- 3. OVERVIEW
- 14. BUSINESS CASE