This document discusses new technologies in health information technology including InstyMeds prescription medication dispensers, brain-computer interfaces (BCI), and IBM's Watson supercomputer. It summarizes a study where a woman with quadriplegia was able to control a robotic arm using a BCI implanted in her brain. The document argues that BCI technology could revolutionize healthcare by allowing paralyzed individuals to regain mobility. However, it also notes potential dangers if the technology was misused or malfunctioned. It concludes by outlining a new model for implementing health IT that focuses on compatibility, consumer education, cost reduction, and national expansion.
Medical research is published with tremendous speed, making it nearly impossible for a doctor to keep up. Artificial Intelligence could be the answer. The growing amounts of available data enables the use of artificial intelligence in health care, as well as the increasingly sophisticated machine learning algorithms. Yet relatively little of these methods are used in health care.
This presentation contains an introduction to emerging healthcare Technologies. These emerging technologies include Data Analytics, AI, Blockchain, Telehealth, virtual reality, cloud computing, and IOT. The concept of Nanorobots as future medicine is also included in this presentation.
artificial intelligence in health care. how it is different from traditional techniques. growth of artificial intelligence. how hospitals are taping artificial intelligence to mange corona virus. pros and cons of artificial intelligence.
Medical research is published with tremendous speed, making it nearly impossible for a doctor to keep up. Artificial Intelligence could be the answer. The growing amounts of available data enables the use of artificial intelligence in health care, as well as the increasingly sophisticated machine learning algorithms. Yet relatively little of these methods are used in health care.
This presentation contains an introduction to emerging healthcare Technologies. These emerging technologies include Data Analytics, AI, Blockchain, Telehealth, virtual reality, cloud computing, and IOT. The concept of Nanorobots as future medicine is also included in this presentation.
artificial intelligence in health care. how it is different from traditional techniques. growth of artificial intelligence. how hospitals are taping artificial intelligence to mange corona virus. pros and cons of artificial intelligence.
Artificial Intelligence (AI), machine learning, and deep learning are taking the healthcare industry by storm. They are not pie in the sky technologies any longer; they are practical tools that can help companies optimize their service provision, improve the standard of care, generate more revenue, and decrease risk. Nearly all major companies in the healthcare space have already begun to use the technology in practice; here I present some of the important highlights of the implementation, and what they mean for other companies in healthcare.
Patients are about to see a new doctor: artificial intelligence by EntefyEntefy
The health care industry has already seen advanced artificial intelligent systems make an impact in areas like medical diagnosis and patient care. But the long-term big-picture importance of AI in medicine may be something else entirely: a potential fix for the intractable problem of too few doctors and nurses worldwide. And as part of that, a solution to health care’s public enemy number one—paperwork.
Entefy curated a presentation based on our article about the impact of artificial intelligence in medical care. These slides provide a snapshot of how AI is at use in medical care today, the advances and limits of current AI systems, and AI’s potential in patient care. The presentation contains useful data and analysis for anyone interested in the intersection of AI and medical care.
For additional analysis and links to our background sources, read “Patients are about to see a new doctor: artificial intelligence" on our blog at https://blog.entefy.com/view/298/Patients-are-about-to-see-a-new-doctor-artificial-intelligence.
Artificial intelligence in field of pharmacyKaustav Dey
AI is a program designed to produce outcome in a manner similar to human intelligence,logic and reasoning.This can be used in field of Pharmacy for betterment of humankind, to save lives,money and time
10 Common Applications of Artificial Intelligence in HealthcareTechtic Solutions
List of 10 Common Applications of Artificial Intelligence that explain how artificial intelligence is used in healthcare and why it is necessary? To read briefly all common applications of artificial intelligence in healthcare then visit at https://www.techtic.com/blog/applications-of-ai-in-healthcare/
ARTIFICIAL NEURAL NETWORKING.
FIRST STEP TO KNOWLEDGE IS TO KNOW THAT we are ignorant
Knowledge in medical field is characterized by uncertanity and vagueness
Historically as well as currently this fact remains a motivation for the development of medical decision support system are based on fuzzy logics
Greek philosopher visualized a basic model of brain function as early as 300 bc
Till date nervous system is not completely understood to human kind.
Promise and peril: How artificial intelligence is transforming health careΔρ. Γιώργος K. Κασάπης
AI has enormous potential to improve the quality of health care, enable early diagnosis of diseases, and reduce costs. But if implemented incautiously, AI can exacerbate health disparities, endanger patient privacy, and perpetuate bias. STAT, with support from the Commonwealth Fund, explored these possibilities and pitfalls during the past year and a half, illuminating best practices while identifying concerns and regulatory gaps. This report includes many of the articles we published and summarizes our findings, as well as recommendations we heard from caregivers, health care executives, academic experts, patient advocates, and others.
The smartphone hype has brought some exciting changes to the traditional mobile health industry. This research paper contains a survey amongst companies developing mobile health applications.
The survey reveals that the impact the new smartphone app market has on mHealth is significant.
In total we had 231 participating companies ranging from start-up mHealth specialists to traditional healthcare market players.
Artificial Intelligence (AI), machine learning, and deep learning are taking the healthcare industry by storm. They are not pie in the sky technologies any longer; they are practical tools that can help companies optimize their service provision, improve the standard of care, generate more revenue, and decrease risk. Nearly all major companies in the healthcare space have already begun to use the technology in practice; here I present some of the important highlights of the implementation, and what they mean for other companies in healthcare.
Patients are about to see a new doctor: artificial intelligence by EntefyEntefy
The health care industry has already seen advanced artificial intelligent systems make an impact in areas like medical diagnosis and patient care. But the long-term big-picture importance of AI in medicine may be something else entirely: a potential fix for the intractable problem of too few doctors and nurses worldwide. And as part of that, a solution to health care’s public enemy number one—paperwork.
Entefy curated a presentation based on our article about the impact of artificial intelligence in medical care. These slides provide a snapshot of how AI is at use in medical care today, the advances and limits of current AI systems, and AI’s potential in patient care. The presentation contains useful data and analysis for anyone interested in the intersection of AI and medical care.
For additional analysis and links to our background sources, read “Patients are about to see a new doctor: artificial intelligence" on our blog at https://blog.entefy.com/view/298/Patients-are-about-to-see-a-new-doctor-artificial-intelligence.
Artificial intelligence in field of pharmacyKaustav Dey
AI is a program designed to produce outcome in a manner similar to human intelligence,logic and reasoning.This can be used in field of Pharmacy for betterment of humankind, to save lives,money and time
10 Common Applications of Artificial Intelligence in HealthcareTechtic Solutions
List of 10 Common Applications of Artificial Intelligence that explain how artificial intelligence is used in healthcare and why it is necessary? To read briefly all common applications of artificial intelligence in healthcare then visit at https://www.techtic.com/blog/applications-of-ai-in-healthcare/
ARTIFICIAL NEURAL NETWORKING.
FIRST STEP TO KNOWLEDGE IS TO KNOW THAT we are ignorant
Knowledge in medical field is characterized by uncertanity and vagueness
Historically as well as currently this fact remains a motivation for the development of medical decision support system are based on fuzzy logics
Greek philosopher visualized a basic model of brain function as early as 300 bc
Till date nervous system is not completely understood to human kind.
Promise and peril: How artificial intelligence is transforming health careΔρ. Γιώργος K. Κασάπης
AI has enormous potential to improve the quality of health care, enable early diagnosis of diseases, and reduce costs. But if implemented incautiously, AI can exacerbate health disparities, endanger patient privacy, and perpetuate bias. STAT, with support from the Commonwealth Fund, explored these possibilities and pitfalls during the past year and a half, illuminating best practices while identifying concerns and regulatory gaps. This report includes many of the articles we published and summarizes our findings, as well as recommendations we heard from caregivers, health care executives, academic experts, patient advocates, and others.
The smartphone hype has brought some exciting changes to the traditional mobile health industry. This research paper contains a survey amongst companies developing mobile health applications.
The survey reveals that the impact the new smartphone app market has on mHealth is significant.
In total we had 231 participating companies ranging from start-up mHealth specialists to traditional healthcare market players.
Artificial Intelligence in Healthcare.pdfayushiqss
Imagine a parallel world, where everyone could know about their future health and any diseases they might have in later years. Now, come back to the real world where you no longer need to imagine anything. Everything is possible now with the integration of Artificial Intelligence in healthcare. Humans are developing the best AI and ML-powered devices that can predict your future health.
The Future of mHealth - Jay Srini - March 2011LifeWIRE Corp
Jay Srini's presentation of her take on the Future of mHealth, presented at the 3rd mHealth Networking Conference, March 30, 2011. Aside from being one of the preeminent thought leader in the area of innovation and mhealth, she holds a number of positions including Assistant Professor at the University of Pittsburgh and CIO for LifeWIRE Corp.
Benefits of AI for the Medical Field in 2023.Techugo
AI can assist in medical diagnosis, drug discovery, personalized medicine, and patient monitoring. It can also improve the efficiency of healthcare systems and reduce medical errors.
Here are the Benefits of AI for the Medical Field in 2023 and Beyond.pdfTechugo
A combination of unstoppable forces drives demand: changing patient expectations, population aging, lifestyle changes, and the never-ending innovation cycle are just a few. The implications of an aging population are the most important. One in four North American and European citizens will be 65 years old by 2050
Here are the Benefits of AI for the Medical Field in 2023 and Beyond!.pdfTechugo
Healthcare spending is not growing at all. Healthcare systems can only be sustained with significant structural and transformative changes. According to the World Health Organization, healthcare systems need a greater workforce. Although 40 million jobs could be created by the global economy in the health sector by 2030, the World Health Organization projects that there will still be a 9.9 million shortfall in physicians, nurses, and midwives worldwide over the same time period.
In medical technologies, the potential of mRNA is thought to extend beyond the realm of vaccinations. Since mRNA can code for almost any protein, the same basic technique could theoretically pave the way for the creation of an enormous number of therapeutic interventions, each of which would work in much the same way as medicine.
Gleecus Whitepaper : Applications of Artificial Intelligence in HealthcareSuprit Patra
In the field of medicine, Artificial Intelligence (AI) goes a long way in strengthening and improvising the communication between Doctors and Patient like never before. The Healthcare industry requires enormous amounts of digitized data to be periodically shared, stored and yet kept secure at the same time. Smart algorithms are powering artificial intelligence (AI) applications in the healthcare sector By enabling intelligent applications to not only speak and listen but also to make decisions in unrivaled ways to nullify human errors.
Read this research paper to know how AI is taking healthcare by storm.
Machine Learning AI In Healthcare Top 3 Pros You Did Not KnowOliviaWatson27
Machine Learning AI In Healthcare Top 3 Pros You Did Not Know
Machine learning has the potential to provide data-driven clinical decision support (CDS) to physicians and hospital staff. Click above to know more about the benefits of machine learning in 2022.
Source - https://viitorcloud.com/blog/machine-learning-in-healthcare-top-3-pros-you-did-not-know/
IntelAI Enhancing Healthcare with Advanced Data AnalysisFit Focus Hub
IntelAI is at the forefront of transforming healthcare through advanced data analysis, leveraging the power of artificial intelligence (AI) to revolutionize the industry.
By harnessing cutting-edge technologies and computational capabilities, IntelAI is paving the way for a new era of healthcare that is more precise, efficient, and patient-centered.
One of the key contributions of IntelAI in healthcare lies in its ability to analyze vast volumes of healthcare data with unprecedented speed and accuracy.
Through sophisticated machine learning algorithms and deep learning models, IntelAI can extract meaningful insights from diverse datasets, ranging from medical imaging and genetic information to electronic health records.
This advanced data analysis is instrumental in improving diagnostics, enabling earlier detection of diseases, and enhancing treatment planning.
IntelAI's impact extends beyond diagnostics to personalized medicine, where it plays a crucial role in tailoring treatments to individual patients.
By deciphering complex patterns within patient data, IntelAI assists healthcare professionals in developing customized and targeted therapies.
This not only optimizes treatment outcomes but also minimizes adverse effects, marking a significant stride towards more effective and patient-specific healthcare solutions.
In the realm of operational efficiency, IntelAI is streamlining healthcare processes. Predictive analytics and data-driven insights support healthcare providers in optimizing resource allocation, improving workflow management, and enhancing overall efficiency within healthcare organizations.
This, in turn, contributes to a more streamlined and patient-centric healthcare experience.
IntelAI's applications extend to drug discovery and development, where it accelerates the identification of potential candidates and enhances the efficiency of the drug development pipeline.
By analyzing vast datasets and predicting the efficacy of potential drugs, IntelAI is contributing to more rapid and cost-effective drug discovery, ultimately leading to the development of novel and targeted therapeutic interventions.
Moreover, IntelAI is facilitating a paradigm shift in patient engagement through technologies like virtual health assistants and remote patient monitoring.
These AI-driven solutions offer continuous support, personalized health information, and remote monitoring capabilities, empowering patients to actively participate in their healthcare journey and promoting proactive health management.
In summary, IntelAI is playing a pivotal role in enhancing healthcare through advanced data analysis. By leveraging AI technologies, Intel is contributing to improved diagnostics, personalized medicine, operational efficiency, and drug discovery.
Artificial intelligence (AI), machine learning, and data science have started to shape the delivery of health services. We see this in every critical step, from patient scheduling management to physically assisted surgery.
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
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Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
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Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
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.
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
2. Connecting With HIT
NEW TECHNOLOGY
The health information technology field is a rather new industry as healthcare has
recently started transitioning into the digital age. New technology is created every day for this
field at an accelerated rate as it plays catch up to every other industry. Today’s technology
includes things like web and mobile applications that assist patients in diagnosing themselves
and managing their records. Also other technology exists such as vending machines that
dispense medicine for patients. Of this new technology there are a few that I believe will have a
greater than impact than others.
Instymeds otherwise known as the prescription
medicationdispenser is a technology that allows patients
to receive medicine from a doctor’s office 7 days a week
24 hours a day. It’s for patients who can’t make it to the
pharmacy at that moment so the machine will provide a
small amount of medicine for them until they can make it
to the pharmacy and get a full prescription. If a refill is
needed the patient can take their empty InstyMeds
bottle to the pharmacy and a refill will be provided.The
machine has the security of an ATM which will protect
against theft. It has simple instructions that the patient
will follow on the touchscreen. The patient then inserts
their card and the medicine is dispensed. Before the
patient can receive the medicine it has to be sent
electronically through ePrescribe which is just an electronic way to send prescriptions. The
provider can also print out an InstyMeds order form that the patient can take to the machine
and enter the code along with their date of birth. InstyMeds also accepts private and public
insurance so if the patient has insurance they can use
it to pay for their medicine.
Robotics have been thought to be the next
major player in healthcare but there has yet to be
any serious breakthroughs where it could prove
beneficial to a patient. Recently a new study on
brain-computer-interface (BCI) was done by the
University of Pittsburgh’s School of Medicine. The
study involves a robotic arm with seven axes of movement and Jan Scheuermanna
3. quadriplegicof over nine years. Her brain
was implanted with two quarter-inch
square electrode grids. The electrodes
have 96 tiny contact points for the area
of the brain that controls the right arm
and hand movement. The electrodes
pick up the signals sent by the brain and
moves according to whatever she is
thinking. It took a year of practice for her
to be able to move it freely. In the
picture you can see the patient eating a
candy bar held by the robotic arm.
Watson, a supercomputer created by IBM, can very well be the new beacon of light for
studies done on cancer. Watson is a collection of 90 IBM Power 750 servers. It has the ability to
process the data of 1 million books, analyze what it has looked at, and then give a precise
answer in less than 3 seconds. Its artificial intelligence system will study textbooks, oncology
studies, and medical records with the permission of patients. It’s essentially a decision support
system taken to a whole new level where basically it does all the thinking and decides the best
solution based on the studies conducted. The new technology has been proven efficient by
winning a game of the popular game show Jeopardy. IBM and WellPoint, a health insurer,
signed a deal to use Watson as a DSS to increase the quality of patient care and decrease the
associated costs.
REVOLUTIONIZINGHEALTHCARE WITH BCI
Imagine a world where long-time paraplegics, fallen soldiers, and the effects of naturally
occurring diseases like Polio don’t exist. The brain-computer-interface has the ability to
completely change the industry of healthcare and the life for individuals who cannot control
their limbs anymore. With more research and funding this technology could erase the
misfortunes of these individuals and give them a second chance at life. Right now the
University of Pittsburgh only has an arm but I could imagine people like Jan in full body suits
walking around like normal humans with simply thinking the thoughts of humans with regular
functioning bodies. The threat of paralysis would no longer be a threat. Soldiers, the people
who risk their lives and return home with blown off limbs, would have the ability to be mobile
once more. There would be no limit to what this technology could accomplish. I do not know if
this technology would cut costs which seem to be the only focus of the health field these days
but it’s not always about money. Sometimes it’s about helping people and this technology has
the potential to make a huge difference in healthcare. All the technology listed above has the
4. ability to make a difference in healthcare each taking their own direction and making a great
impact.
POTENTIAL DANGERS OF BCI
There are a few concerns with the use of this technology. The most important danger of
this technology would be the misuse of it if it were successful. If people had the strength of a
machine they could potentially use it to do harm to others or commit other crimes. Wearing a
metal suit on would make the person harnessing it nearly invincible compared to normal
humans. There’s also a chance that the machine could malfunction and cause damage to the
patient. As I see it though that really wouldn’t be much of a factor because I don’t think things
could get much worse than the current condition the person is already in.
THEBIG PICTURE
5. THE NEW PICTURE
EXECUTIVE SUMMARY
Health Information Technology isgrowing industry providing jobs, new innovations, and
an opportunity to improve the overall quality of healthcare. With the development of new
technology such as Watson, a new type of DSS by IBM, which uses artificial intelligence to
diagnose and provide solutions for cancer patients as well as other technology that uses
robotics. The new robotics technology uses a brain-computer-interface method to collect brain
signals and use them to control the movements of the robotic arm. There’s also other
technology already being used by doctors in their offices like InstyMeds which medicine
dispensing machine they keep on site for patients to receive medicine immediately after their
appointment. Though I’ve mentioned these technologies I’ve barely scratched the surface of all
the available technology that’s helping move the healthcare field towards the ultimate goal of
good quality healthcare for a low price.
Since the introduction of technology into the health field the government’s aim was to
decrease the amount of spending on healthcare while increasing the quality of the care given.
Using the Big Picture as model to show how the implementation of technology into healthcare
will progress the government had a slight miscalculation of how things would turn out. They
had a great idea but didn’t account for the small but most important things such as
compatibility between EMR systems and the adoption of the new system. With adoption
missing from the equation the progress of the Big Picture has slowed to a turtle’s pace. As I
analyzed the old system I used my experience and knowledge to introduce a New Picture
Model that I think would work a little better than the old model. It has 4 steps with first
developing a EHR system that promotes compatibility between all systems no matter which
company made it. The most important part which I believe the first model failed at was
promoting knowledge of the new system. This includes teaching patients and providers about
the benefits of adopting the system and how to use the system for the betterment of
Adopt EHR
Systems
Promoting
Information
Exchange
Promote
Consumer
Knowledge of
New Systems
Work Towards
Cutting Costs of
Using the New
System
Spread the
Knowledge of the
Perfected System
Nationally
6. healthcare. As the system is perfected costs will start to decrease and quality will increase. As
things are perfected the new method can be spread out across the nation. This method would
work in the perfect world but since the world isn’t perfect there could be a few snags. Even
with those few snags it would work better than the old model has.