Health systems recognize the potential of digital health but e-health programs have had modest returns. Ambitious initiatives focus on providing clinicians information but struggle with legacy systems that impede data integration. The solution is a digital services platform that holds healthcare data and optimizes access through APIs and services for identity, access and consent management. This platform could serve as an innovation ecosystem for third-party digital health services and advanced by health systems. It could revolutionize health services and help bend the cost curve through contextualized information, ushering in an era of "Healthcare 3.0."
Digital technology is changing the relationship between patient and doctor, and healthcare providers must adopt new approaches to data and information.
Read our new article to gain insights of how the adoption of cloud affects the healthcare industry.
Big Data, CEP and IoT : Redefining Holistic Healthcare Information Systems an...Tauseef Naquishbandi
Healthcare industry has been a significant area for innovative application of various technologies over decades. Being an area of social relevance governmental spending on healthcare have always been on the rise over the years. Event Processing (CEP) has been in use for many years for situational awareness and response generation. Computing technologies have played an important role in improvising several aspects of healthcare. Recently emergent technology paradigms of Big Data, Internet of Things (IoT) and Complex Event Processing (CEP) have the potential not only to deal with pain areas of healthcare domain but also to redefine healthcare offerings. This paper aims to lay the groundwork for a healthcare system which builds upon integration of Big Data, CEP and IoT.
In this report we set out ten provocative statements predicting the world of 2020. Each prediction is articulated and brought to life through a series of portraits which imagine how patients, healthcare professionals and life sciences organizations might behave in this new world. Our predictions lean more towards an optimistic view of the future, although we organized that many in our industry are organized about the constraints and therefore pace of change. We describe the big trends rolled forward to 2020 and some of the constraints that will need to be overcome.
We also provide examples and evidence, based on the here and now, that show that the predictions are perfectly plausible, perhaps inspiring and surprising!
Our industry is changing quickly – requiring a bold response that is often difficult to implement – and yet organizations struggle to understand how to respond effectively and build a sense of urgency. We hope this report creates rich dialogue and enables a move to action.– we have had enormous fun discussing these predictions and sharing our experiences. We hope you have the same experience within your own organizations as you peruse this report and reflect on your current situation and future scenarios.
9 Actionable Healthcare Tweets from HIMSS 2015Buddy Scalera
9 tweets and action items for healthcare marketers and content strategists, as developed by Marilyn Cox @MarilynECox (Oracle) and Buddy Scalera @MarketingBuddy.
Be sure to visit: http://www.slideshare.net/americanregistry
Key Takeaways from the first IDC Pan European Healthcare Summit . Post event ...Silvia Piai
This slide deck summarizes the key takeaways from the first Pan European Healthcare Executive Event. Focused on the three themes of the Summit ( Personalization,Integration and Industrialization), the Summit has explored the different dimensions in which ICT is an enabler of a new business model for sustainable healthcare in Europe
Digital technology is changing the relationship between patient and doctor, and healthcare providers must adopt new approaches to data and information.
Read our new article to gain insights of how the adoption of cloud affects the healthcare industry.
Big Data, CEP and IoT : Redefining Holistic Healthcare Information Systems an...Tauseef Naquishbandi
Healthcare industry has been a significant area for innovative application of various technologies over decades. Being an area of social relevance governmental spending on healthcare have always been on the rise over the years. Event Processing (CEP) has been in use for many years for situational awareness and response generation. Computing technologies have played an important role in improvising several aspects of healthcare. Recently emergent technology paradigms of Big Data, Internet of Things (IoT) and Complex Event Processing (CEP) have the potential not only to deal with pain areas of healthcare domain but also to redefine healthcare offerings. This paper aims to lay the groundwork for a healthcare system which builds upon integration of Big Data, CEP and IoT.
In this report we set out ten provocative statements predicting the world of 2020. Each prediction is articulated and brought to life through a series of portraits which imagine how patients, healthcare professionals and life sciences organizations might behave in this new world. Our predictions lean more towards an optimistic view of the future, although we organized that many in our industry are organized about the constraints and therefore pace of change. We describe the big trends rolled forward to 2020 and some of the constraints that will need to be overcome.
We also provide examples and evidence, based on the here and now, that show that the predictions are perfectly plausible, perhaps inspiring and surprising!
Our industry is changing quickly – requiring a bold response that is often difficult to implement – and yet organizations struggle to understand how to respond effectively and build a sense of urgency. We hope this report creates rich dialogue and enables a move to action.– we have had enormous fun discussing these predictions and sharing our experiences. We hope you have the same experience within your own organizations as you peruse this report and reflect on your current situation and future scenarios.
9 Actionable Healthcare Tweets from HIMSS 2015Buddy Scalera
9 tweets and action items for healthcare marketers and content strategists, as developed by Marilyn Cox @MarilynECox (Oracle) and Buddy Scalera @MarketingBuddy.
Be sure to visit: http://www.slideshare.net/americanregistry
Key Takeaways from the first IDC Pan European Healthcare Summit . Post event ...Silvia Piai
This slide deck summarizes the key takeaways from the first Pan European Healthcare Executive Event. Focused on the three themes of the Summit ( Personalization,Integration and Industrialization), the Summit has explored the different dimensions in which ICT is an enabler of a new business model for sustainable healthcare in Europe
Data-Driven Healthcare for Manufacturers Amit Mishra
Data-driven healthcare empowers the providers with a common data platform to discover untapped data-driven opportunities. Healthcare data and its impact on the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Physician groups, nursing facilities, hospitals, pharmaceutical companies, clinical researchers, and medical equipment manufacturers are all churning out vast amounts of data during their daily operations. This data has tremendous value and can revolutionize patient care, diagnosis, real-time decisions and help deliver new, unimagined innovations with quality of patient care. Know more about data-driven healthcare at https://www.solix.com/solutions/data-driven-solutions/healthcare/
The Smart Health Centers project places trained health information specialists (Navigators) in traditional and non-traditional health facilities to assist patients in connecting to their own medical records and find reliable information about their own conditions. All Navigators are trained in the Smart Health Center Model using this training guide.
With exponential innovation in digital medicine and mobile health, what is utterly lacking is evidence generation and implementation science to help transform health systems into learning healthcare systems. This talk was given at Connected Health Conference, Dec 2016 as part of NODE Health Initiative.
Providers need to move towards real-time analytics that have become critical to demonstrate their quality of care, as reimbursement by government programs can be contingent upon how providers are measured in “Quality of Care”. For example, the Medicare Access and CHIP Reauthorization Act (MACRA) of 2015, also called the Permanent Doc Fix, changes the way Medicare doctors are reimbursed with the implementation of a merit based incentive. The performance-based pressure is huge, which makes it imperative that every provider consider technology solutions. Read more at https://www.solix.com/solutions/data-driven-solutions/healthcare/
But Does It Work? The Critical Role of Evaluation in Digital HealthDustin DiTommaso
KEYNOTE AT HxD 2021.
Overall Message:
A. Effectiveness is the most important differentiator between digital health offerings
B. Everyone in digital health should be evaluating their offerings
3 Key Takeaways:
1. We are rapidly moving towards effectiveness as the key differentiator in digital health
2. Apps need to be evaluated throughout the design process
3. There are things you can and should do now to make your life easier and Your apps better
Find out more inside!
2018 has finally arrived, and healthcare companies’ executives from both small and big firms have hit the ground running. With technological artificial intelligence and new drugs in the industry, below are 6 healthcare predictions for 2018.
eHealth Consumers in the Age of Hyper-Personalizationchronaki
Where the Internet of Things meets healthcare we see a plethora of tools, gadgets, and apps that promise to improve life, health, and independence. As patients, family members ofr friends, we are subsumed under the term "eHealth consumers”. For us it is increasingly hard to navigate in the unfolding digital reality dominated by new gadgets, and fragmented information, data, and knowledge we don’t control. More personalized and targeted products, services, and content could alleviate this. In this slide deck we are specifically focusing on challenges and opportunities for personalization in view of varying eHealth literacy, lifestyle and health goals.
The new era of mobile health ushered in by the wide adoption of ubiquitous computing and mobile communications has brought opportunities for governments and companies to rethink their concept of healthcare. Simultaneously, the worldwide urbanization process represents a formidable challenge and attracts attention toward cities that are expected to gather higher populations and provide citizens with services in an efficient and human manner. These two trends have led to the appearance of mobile health and smart cities. In this talk we introduce the new concept of smart health, which is the context-aware complement of mobile health within smart cities. We provide an overview of the main fields of knowledge that are involved in the process of building this new concept. Additionally, we discuss the main challenges and opportunities that s-Health would imply and provide a common ground for further research.
A look at SxSW Health 2015 through the eyes of the online health ecosystemW2O Group
Presentation shared as a part of the Mayo Clinic Social Media Health Network's monthly webinar for April, 2015. A look at the trends and topics that captured the hearts and minds of the global online health ecosystem.
The promise of artificial intelligence (AI) in health care offers substantial opportunities to improve patient and clinical team outcomes, reduce costs, and influence population health. Current data generation greatly exceeds human cognitive capacity to effectively manage information, and AI is likely to have an important and complementary role to human cognition to support delivery of personalized health care.1 For example, recent innovations in AI have shown high levels of accuracy in imaging and signal detection tasks and are considered among the most mature tools in this domain.2
However, there are challenges in realizing the potential for AI in health care. Disconnects between reality and expectations have led to prior precipitous declines in use of the technology, termed AI winters, and another such event is possible, especially in health care.3 Today, AI has outsized market expectations and technology sector investments. Current challenges include using biased data for AI model development, applying AI outside of populations represented in the training and validation data sets, disregarding the effects of possible unintended consequences on care or the patient-clinician relationship, and limited data about actual effects on patient outcomes and cost of care.
Information Communication Technology in E-Health System, this is useful for healthcare and medical system.E-health means providing citizens with access to quality health information & to view their own health records line, even when travelling in Europe.
Data-Driven Healthcare for Manufacturers Amit Mishra
Data-driven healthcare empowers the providers with a common data platform to discover untapped data-driven opportunities. Healthcare data and its impact on the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Physician groups, nursing facilities, hospitals, pharmaceutical companies, clinical researchers, and medical equipment manufacturers are all churning out vast amounts of data during their daily operations. This data has tremendous value and can revolutionize patient care, diagnosis, real-time decisions and help deliver new, unimagined innovations with quality of patient care. Know more about data-driven healthcare at https://www.solix.com/solutions/data-driven-solutions/healthcare/
The Smart Health Centers project places trained health information specialists (Navigators) in traditional and non-traditional health facilities to assist patients in connecting to their own medical records and find reliable information about their own conditions. All Navigators are trained in the Smart Health Center Model using this training guide.
With exponential innovation in digital medicine and mobile health, what is utterly lacking is evidence generation and implementation science to help transform health systems into learning healthcare systems. This talk was given at Connected Health Conference, Dec 2016 as part of NODE Health Initiative.
Providers need to move towards real-time analytics that have become critical to demonstrate their quality of care, as reimbursement by government programs can be contingent upon how providers are measured in “Quality of Care”. For example, the Medicare Access and CHIP Reauthorization Act (MACRA) of 2015, also called the Permanent Doc Fix, changes the way Medicare doctors are reimbursed with the implementation of a merit based incentive. The performance-based pressure is huge, which makes it imperative that every provider consider technology solutions. Read more at https://www.solix.com/solutions/data-driven-solutions/healthcare/
But Does It Work? The Critical Role of Evaluation in Digital HealthDustin DiTommaso
KEYNOTE AT HxD 2021.
Overall Message:
A. Effectiveness is the most important differentiator between digital health offerings
B. Everyone in digital health should be evaluating their offerings
3 Key Takeaways:
1. We are rapidly moving towards effectiveness as the key differentiator in digital health
2. Apps need to be evaluated throughout the design process
3. There are things you can and should do now to make your life easier and Your apps better
Find out more inside!
2018 has finally arrived, and healthcare companies’ executives from both small and big firms have hit the ground running. With technological artificial intelligence and new drugs in the industry, below are 6 healthcare predictions for 2018.
eHealth Consumers in the Age of Hyper-Personalizationchronaki
Where the Internet of Things meets healthcare we see a plethora of tools, gadgets, and apps that promise to improve life, health, and independence. As patients, family members ofr friends, we are subsumed under the term "eHealth consumers”. For us it is increasingly hard to navigate in the unfolding digital reality dominated by new gadgets, and fragmented information, data, and knowledge we don’t control. More personalized and targeted products, services, and content could alleviate this. In this slide deck we are specifically focusing on challenges and opportunities for personalization in view of varying eHealth literacy, lifestyle and health goals.
The new era of mobile health ushered in by the wide adoption of ubiquitous computing and mobile communications has brought opportunities for governments and companies to rethink their concept of healthcare. Simultaneously, the worldwide urbanization process represents a formidable challenge and attracts attention toward cities that are expected to gather higher populations and provide citizens with services in an efficient and human manner. These two trends have led to the appearance of mobile health and smart cities. In this talk we introduce the new concept of smart health, which is the context-aware complement of mobile health within smart cities. We provide an overview of the main fields of knowledge that are involved in the process of building this new concept. Additionally, we discuss the main challenges and opportunities that s-Health would imply and provide a common ground for further research.
A look at SxSW Health 2015 through the eyes of the online health ecosystemW2O Group
Presentation shared as a part of the Mayo Clinic Social Media Health Network's monthly webinar for April, 2015. A look at the trends and topics that captured the hearts and minds of the global online health ecosystem.
The promise of artificial intelligence (AI) in health care offers substantial opportunities to improve patient and clinical team outcomes, reduce costs, and influence population health. Current data generation greatly exceeds human cognitive capacity to effectively manage information, and AI is likely to have an important and complementary role to human cognition to support delivery of personalized health care.1 For example, recent innovations in AI have shown high levels of accuracy in imaging and signal detection tasks and are considered among the most mature tools in this domain.2
However, there are challenges in realizing the potential for AI in health care. Disconnects between reality and expectations have led to prior precipitous declines in use of the technology, termed AI winters, and another such event is possible, especially in health care.3 Today, AI has outsized market expectations and technology sector investments. Current challenges include using biased data for AI model development, applying AI outside of populations represented in the training and validation data sets, disregarding the effects of possible unintended consequences on care or the patient-clinician relationship, and limited data about actual effects on patient outcomes and cost of care.
Information Communication Technology in E-Health System, this is useful for healthcare and medical system.E-health means providing citizens with access to quality health information & to view their own health records line, even when travelling in Europe.
Payers are being challenged as the industry shifts from volume-based care to a value-based reimbursement structure that would benefit the patient, the healthcare provider and the payer. New payment models including fee-for-service only and pay-for performance creates impetus for payers to acquire, aggregate, and analyze data.
Healthcare data and its impact upon the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Data-driven healthcare is beginning to have a huge impact addressing the challenges of every provider, through efficient handling of huge volumes of patient care data.
2016 IBM Interconnect - medical devices transformationElizabeth Koumpan
Emerging technologies such as Internet of Things, 3D Printing are driving the creation of new business models and forcing the Industry for transformation. The product centric model where the Industry main objective was to develop the device, is moving to software and services model, with the focus on Big Data & Analytics, Integration and Cloud.
The maturation of technologies such as social, mobile, analytics, cloud, 3D printing, bio- and nanotechnology are rapidly shifting the competitive landscape. These emerging technologies create an environment that is connected and open, simple and intelligent, fast and scalable. Organizations must embrace disruptive technologies to drive innovation
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
Big Data in Healthcare
Hospital and healthcare providers can use big data to expand the scope of their projects and draw comparisons over larger populations of data. Because big data involves the use of automation and artificial intelligence, data can be processed in larger volumes and higher velocity to uncover valuable insights for Management.
Big data enables management to proactively identify issues with real-time access to the data so that decisions can be base more on hard evidence and facts, rather than emphasizing on guesswork and assumptions about customers, employees, and vendors. Applying analytics to big data creates many opportunities for healthcare businesses to gain greater insight, predict future outcomes and automate non-routine tasks.
Healthcare industries have gone through massive technology driven transformations over the past decade. This is a result of the significant advancement in digitized, disruptive, open sourced and pervasive healthcare information technologies and peripherals in application, that are continuously producing huge volumes of diversified data. In a recent literature review, Agrawal and Prabakaran1 suggested that big data are an integral part of “the next generation of technological developments” that reveal new insights from vast quantities of data being produced from various sectors, including health care. (Shah J Miah, Edwin Camilleria, and H. Quan Vub).
Healthcare requires a lot of analysis and less room for error, with big data and analytics procedure can be game changer. Healthcare busines requires to analyze, store, and continuously update patient’s data and these tasks cannot efficiently be achieved without the help of big data.
According to Pastorino, the use of big data in health care can provision the design of solutions that improve patient care and can generate value and new strategies to overcome dynamic challenges in healthcare organizations. This is attributed to big data in health care providing an opportunity to detect meaningful patterns, which in turn produce actionable knowledge for precision medicine and various healthcare decision-makers. (Shah J Miah, Edwin Camilleria, and H. Quan Vu)
Harmony Alliance stated that opportunities offered by big data “will only materialize when healthcare systems move beyond the mere collection of large amounts of data. Linkage of previously separated data sets and their analysis using appropriate big data analytics offer new ways to accelerate research and to identify the right treatment for individual patients. Access to large data sets that paint a more comprehensive picture of patients allows patient-relevant outcomes to be measured more accurately.”
Big data is becoming crucial in this time of Covid-19, where data need to be collected from different corner of the globe. Data are collected in a big amount and need to be processed in real time so the decision-makers can have enough information to work on. Today’s world is interconnected, and pa ...
POST EACH DISCUSSION SEPARATELYThe way patient data is harvested.docxLacieKlineeb
POST EACH DISCUSSION SEPARATELY
The way patient data is harvested and used is rapidly changing. Patient data itself has become quite complex.
In the future
, patient data will be combined with financial data, product or drug data, socioeconomic factors, social patterns, and social determinants of health. Cognitive behavior and artificial intelligence will be applied to the data to help prevent and depict rather than cure disease.
Evaluate the future of Healthcare information technology.
Include the following aspects in the discussion:
Find two articles related to the future of information systems (IS) in healthcare
Include telehealth, wearable technology, patient portals, and data utilization
Analyze potential benefits from advances
Discuss, from your own perspective, the advantages and disadvantages of having a system where the patient manages their own data
REPLY TO MY CLASSMATE’S DISCUSSION TO THE ABOVE QUESTIONS AND EXPLAIN WHY YOU AGREE. MINIMUM OF 150 WORDS EACH
Classmate’s Discussion 1
The technological advancements that have occurred in the field of healthcare have greatly changed the way people view and interact with the healthcare system. They have also led to the reduction of costs and the increasing efficiency of the system. We expect that the future of healthcare will continue to be influenced by information technology.
Due to the technological advancements that have occurred in the field of healthcare, physicians are now able to spend less time with their patients. This has allowed them to provide more effective and efficient care to their patients. In the future, we can expect that the increasing number of specialists who can delegate their work to other doctors will have a significant impact on the healthcare system. The increasing efficiency of doctors is expected to have a significant impact on the shortage of specialist physicians in the future. This issue could be solved using technology. Hopefully, the use of information technology can help boost the number of specialist physicians (Patric, 2022).
Electronic health records have revolutionized the way healthcare is done. Despite the progress that has been made in terms of keeping and tracking these records, they are still not widely used yet. This means that the kind of growth that was expected from the adoption of these records has not materialized. Although the adoption of electronic health records has been made in various parts of the world, it’s still not widely used in all areas. This means that the ability to keep track of one’s medical history is still very important (Patric, 2022).
The increasing importance of information technology in healthcare has led to the prediction that the cost of healthcare will eventually come down. Various factors such as better accessibility and efficiency will help make healthcare more affordable and more effective.
It’s widely believed that keeping one's health is much cheaper and easier than treating a.
Digital healthcare solutions are designed to help save time, combine technologies, and boost the accuracy and efficiency of the healthcare delivery system.
Value-Based Care and Healthcare Consumerism: Opportunities for Health IT and ...Cognizant
Health IT and technology solutions are central in the shift to value-based care and to meeting the demands of patient consumerism. Hurdles remain, but all primary players in the healthcare ecosystem, patients, providers and payers, are seeking more and better data, platform interoperability, real-time and actionable analytical insights, and more effective engagement.
7 Reasons Your Company Should Use A Digital Healthcare Solution.pptxMocDoc
Digital Healthcare Solution is one of the latest growing technology used by Healthcare Industries. So Here are the reasons why your company should use a Digital Healthcare
Healthcare transformation with next BI.pdfSparity1
We are the leading iT Software development company in USA. We are the leaders in providing the best Software, Ai Mi, Data science, Data security, QA, UI/UX, RPA, App development, Digital transformation, Cloud and Cyber security services.
Healthcare transformation with next BI.pdfSparity1
Sparity provides the Top Custom healthcare Software and Application development services for healthcare industries in USA and Across the Globe. We can help you build a leading-edge tech platform with the right UI/UX framework and functionalities. We Make a positive impact with modern healthcare services
Digital Transformation In Healthcare_ Trends, Challenges And Solutions.pdfLucas Lagone
Explore digital transformation in Healthcare, Trends, face challenges, and discover effective solutions for a seamless transition in the healthcare industry.
Will Mobile Apps Bring Wound Care Technology to the “Cutting Edge”?Chrissy Stanojev
For wound care providers and other clinicians, 2017 continued to bring about a chaotic storm of healthcare reform based on quality measures, data registry requirements, and documentation standards. As has been previously stated in this journal, it remains to be seen if wound care practitioners will pool their limited resources and harness the power of their electronic health records to battle the “giant of healthcare reform.”1 This country’s push to enact and substantiate quality of care delivery can be seen through the uniting of clinical practice with increasingly sophisticated digital technology that allows for more accurate documentation and communication. For good reason, the focus of this union is being placed on the perspective of the patient (ie, how the patient receives healthcare information). However, it is becoming increasingly clear that there is a need for clinicians to be armed with devices that more easily and effectively facilitate the means to that end. This article will discuss the proliferation of healthcare-related digital apps that are both patient and clinician focused in an attempt to lay a foundation for wound care clinicians to become more technologically savvy and clinically compliant.
https://www.todayswoundclinic.com/articles/will-mobile-apps-bring-wound-care-technology-cutting-edge
Will Mobile Apps Bring Wound Care Technology to the “Cutting Edge”?
CSC_HealthcareJourney
1. The Shift to Digital Health
and the Era of Healthcare 3.0
Office of the CTO
Second Edition, 2016-2017
2. SUMMARY
Health systems in most countries clearly recognize
the potential of digital health, yet e-health programs
have delivered only modest returns in quality,
efficiency or better patient outcomes. Ambitious
e-health initiatives focus on providing actionable
information to clinicians, but often struggle with the
legacy systems that impede data integration. The
solution is a digital services platform that holds
healthcare data and optimizes data access, enabled
with APIs and common IT services for identity,
access and consent management. This digital health
platform could serve as the basis for an ecosystem
of digital-health services innovation by certified
third parties and could be steered by the respective
health systems. It could revolutionize health-service
use and delivery, help health systems bend the
cost curve, and usher in an era of contextualized
information that could be called “Healthcare 3.0.”
2 | The Shift to Digital Health and the Era of Healthcare 3.0
3. The services and structure that constitute
the next phase of healthcare are beginning
to take shape, and it looks considerably
different from the past. Regulatory reform,
advances in technology and changing
demographics are just a few of the factors
driving healthcare toward a better future.
At the same time, the advent of wearables,
smartphones, cloud computing and global
connectivity has created a population of
patients/consumers accustomed to mobile
technology pervasive in other sectors of
the economy, such as banking and retail.
Increasingly, consumers wonder why
health systems cannot provide similar
service innovations. In that respect, digital
health companies would appear to be well
positioned, but so far they have been
impeded by a lack of access to health data
and uncertainty about how to distribute
the economic benefits generated by
e-health applications.
Healthcare IT is shifting toward integrating
and exploiting the diverse health IT ecosys-
tem, focusing on patient-centric information
integration and communication, rather than
on building new centralized and proprietary
systems. This shift will require open data
approaches to allow the friction-free flow of
data, and cognitive analytics to use that data
to inform decisions at the patient, organization
and population levels.
Patients are finding their voices in the
conversation about healthcare, and the
result is a significant shift in the patient-
demand curve. Three dominant trends
illustrate the influence of patients:
• Patient-centric care. “Partner with me
to engage in and manage my health. My
care team truly cares about my holistic
health. I am not alone.”
• Consumer engagement. “Enable me to
engage in and take charge of my health.
I feel engaged in my health and am
empowered to make informed decisions.”
• Science of prevention. “Empower me
to direct my life plan. I understand my
health and wellness profile and what I
need to do to live long and well.”
Meanwhile, market behaviors are changing.
A record pace of organizational activity
— including amalgamations and new busi-
ness and reimbursement models — and
changing clinical work patterns are fueling
the need for value-based care, coordinated
care and efficient innovation. Rapid
advances and lower costs for technology
are fueling innovation that was not previ-
ously feasible, creating a distributed and
loosely connected ecosystem of services.
The shift to digital health creates new rules of
data engagement and healthcare innovation,
where interfaces are wearable, and where
physical is merging with digital. It leads to
new business models, new delivery models,
and new levels of transparency and openness.
This environment creates a sophisticated
clinical pathway, powered by data insights,
that enables healthcare organizations to
deliver the right therapy, tailored to the
right patient in the right place and at the
right time — all dynamically orchestrated.
New patient-centric care models make
care more collaborative and focused on
outcomes. New investments will need to
focus on the power of combined informa-
tion sources to derive greater context. This
context is needed to more effectively and
securely leverage patient data, recognize
patterns faster, and manage the health of
populations more effectively.
Simply put, digital health is about using
technology to enable the delivery of a
3 | The Shift to Digital Health and the Era of Healthcare 3.0
Surveyed healthcare organizations cite the
primary goals for becoming more digital
as increased efficiency (50%), keeping
up with existing competitors (39%), and
cutting costs (30%).
Source: Global Digital Enterprise Survey 2016-2017, conducted by the Economist Intelligence Unit and sponsored by CSC.
4. better patient experience, with improved
results, at a lower cost. It is not a panacea; it
will need to be accompanied by initiatives
that go above and beyond IT, including
business and clinical transformation.
Digital Health Today
By its very definition, digital health is built
on a foundation of next-generation
technologies. But it isn’t something in the
far-off future. Several broad technology
trends support the drive toward digital
health, all of which are occurring today:
• Digital health is becoming mainstream.
Doctors and healthcare workers cur-
rently use digital applications to be more
efficient, provide better care and take on
4 | The Shift to Digital Health and the Era of Healthcare 3.0
Putting Data to Better Use
The shift to digital infrastructure presents opportunities for
healthcare providers and patients to collect and share new kinds
of data, with the potential for more personalized healthcare.
Personalized healthcare is more than merely using predictive
analytics to generate tables and graphs. It requires advanced
analytics capable of adding context to large varieties of data and
distilling it down to something actionable.
Take, for example, the task of reducing the amount of time a
patient spends recovering from a procedure. Reducing patient
recovery time lowers expenses for the hospital and improves the
level of care for the patient. But thousands of factors could affect
a patient’s recovery time.
CSC used industrial-scale machine learning to tackle this issue, to
find out which factors really matter for each patient and how to
take action. We started by using digital platforms to access new
sources of healthcare data. To produce a model to predict length
of hospital stay, we used a data extract of routinely collected
administrative data supplied by the healthcare purchasers for a
specific geographic locality. We used machine-learning algorithms
to extract new insights. We looked for features that were most
important in predicting length of stay for patients undergoing hip
or knee replacements. We found key leading indicators (such as
the patient’s age, the patient’s core healthcare providers, and the
secondary diagnosis) for predicting length of stay. We built a
regression model using the leading indicators, which allowed us to
predict a patient’s stay. Those predictions became the basis of
operational dashboards that alert hospitals to future costs and
help identify patients who may experience problems in recovery.
We’re at the beginning of a new phase of big data — a phase that
has less to do with massive data capture and storage and much
more to do with producing impactful, scalable insights. In health-
care, there is no shortage of data, but the shift to digital platforms
and industrial machine learning puts that data to better use.
— Jerry Overton, Data Scientist, CSC Distinguished Engineer
Healthcare Insights aaS Sample: Hip and Knee Replacement Procedure LOS Predictions
Industrial Machine Learning leads to insights that help improve patient care. We can predict future hospital costs and identify patients likely to experience
problems during recovery.
5. increasingly complex tasks. Clinicians are
using multiple channels to access patient
data. Many physicians use smartphones
to research medications. In some coun-
tries, physicians, ambulatory centers,
hospitals and health systems have
deployed enhanced electronic health
record (EHR) systems.
• Digital health is bridging the gap
between the old economy and the new.
The old economy measured success by
patient volume; the new economy mea-
sures success by outcomes. APIs and
modern application development create
bridges between legacy systems, off-the-
shelf solutions and new applications. And
much of this innovation is cloud-based.
• The healthcare platform revolution has
arrived. It’s now possible to define eco-
systems of healthcare technologies and
design healthcare IT platforms to capture
data from disparate sources (e.g., wear-
ables, phones, glucometers). All of these
new data sources and systems provide
patients and caregivers with a holistic
and real-time view of patients’ health.
• The era of the intelligent enterprise
brings it all together. The data explosion
— accompanied by advances in process-
ing power, industrial-scale machine
learning, health analytics and cognitive
technology — is fueling software intelli-
gence. Medical devices and wearables
can now “think” with contextual and
situational awareness, and respond
accordingly. Huge amounts of data and
smarter systems lead to better health-
care and the development of capabilities
such as population health management.
These trends are driving several shifts in
focus in the care-delivery approach:
• Population Health: From the needs of an
individual patient to a holistic view of the
needs of the population
• Care Coordination: From the support of an
individual provider at the point of care to
all providers across the spectrum of care
5 | The Shift to Digital Health and the Era of Healthcare 3.0
Early adopters will begin to consider 3rd
Platform EHR replacements in 2016 and
will begin replacement implementations
in 2017.
Source: IDC FutureScape: Worldwide Healthcare 2016 Predictions, November 2015
6. • Continuity of Care: From the activities in
a particular care setting or location to all
activities in the entire spectrum of care
• Preventive Care and Patient Engagement:
From a discrete episode of illness and
care to all the activities that promote
wellness, prevent illness and recurrence
• Care Anywhere: From multiple, uncoor-
dinated, “siloed” records per patient to
one patient, one record, one system
— anywhere, anytime
• Predictive Medicine, Personalized
Medicine and Personalized Service:
From reactive care to personalized,
patient-centric care that closes the loop
of care through better patient engage-
ment and use of dynamic models to
refine risk scores and care plans
Considering the speed and scope of change
that comes with increased adoption of
digital health, it’s hardly surprising that
many organizations are struggling to adapt.
Some trends, such as the evolution of
patient-centric care, have challenged norms
that existed throughout the life of organized
care systems. Once seen as the sole author-
ities in matters of treatment and care,
doctors and hospitals now share responsi-
bility with patients. Business models that
were built on the volume of patients and the
number of treatments are now shifting to
payments based on health outcomes.
As patients become active participants in
determining the kind of treatment they
want, organizations will need to coordinate
across the care continuum, recognizing that
patients touch many different components
of the wider health system. Providers and
payers alike are putting a lot of effort into
integrating new technologies and absorbing
the growing volume of data generated by
smart devices and wearables. The need for
flexible and interoperable computing
resources is growing, and the current IT
status quo is not suited to that need.
Elements of Transformation
By design, digital health technologies are
disruptive. Health systems need to thor-
oughly evaluate how they will adopt and
apply them.
At an operational level, health systems
must change their structure and workflows
to derive maximum benefits. They must set
clear goals, get active participation from
leadership, assess their technology require-
ments and create an effective rollout strategy.
A winning strategy requires aligning key
stakeholders — patients, physicians, care
providers, payers, et al. — to a common set
of outcome objectives and redesigning the
interaction models between them. In many
cases, this could be a significant
change-management activity.
6 | The Shift to Digital Health and the Era of Healthcare 3.0
Isolated and disconnected data reposi-
tories have been, and remain, among
the biggest barriers to efficiency gains
and improved services in the industry.
Virtual care will become routine by 2018,
and by 2020, 80% of consumer service interactions
will make use of IoT and big data to improve quality, value, and timeliness.
Source: IDC FutureScape: Worldwide Healthcare 2016 Predictions, November 2015
7. The move to an advanced, standards-based
health IT system (HIT) is essential to digital
health, but it needs to be tailored to sup-
port the characteristics of digitally enabled
population health management, including:
• An organized system of care
• The use of multidisciplinary care teams
• Coordination across care settings
• Enhanced access to primary care
• Centralized resource planning
• Continuous care
• Patient self-management and education
• A focus on health behavior and life-
style changes
• The use of HIT for data access and
reporting for communication among
providers and payers and between
providers, payers and patients
The selection and implementation of
HIT is among the most important compo-
nents of planning for population health
management. EHR adoption is only the
first step toward creating the needed
infrastructure. A wide range of other
digital applications is required to automate
digital health and to engage patients in
their own care. Moreover, systems must be
constantly re-evaluated because of rapid
changes in technology, as well as new
government regulations.
Developing an Ecosystem of Services
Commissioners, and potentially even indi-
vidual patients, now need to be able to
“assemble” healthcare services from multi-
ple organizations to deliver optimum care.
One of the potential steps, particularly in
addressing care-transition challenges, is the
creation of a digital health-enabled patient
7 | The Shift to Digital Health and the Era of Healthcare 3.0
The Cybersecurity Challenge
A recent U.S. Department of Health and Human Services study reveals that healthcare
providers are at risk of losing $305 billion in cumulative lifetime patient revenue over
the next five years due to the mishandling, loss and theft of patient data.
To avert these losses and the liability they create, providers must prioritize cybersecu-
rity improvements for clinical and financial systems. Often healthcare IT security is
based on binary security controls – i.e., “you can have all of my information or none of
it.” The introduction of the Internet, consumer devices and many more outside elements
complicates this approach, and the growing consumerization of IT in healthcare means
this trend will continue. Providers that have confidence in the identities of their users
will be able to more successfully manage the risk associated with the disclosure and
sharing of sensitive patient data. Concurrently, they will boost trust among their
patients while also improving the individualized patient experience, as individuals can
decide what information to release to whom, when a certain situation arises.
Active defense requires a risk-based approach to cybersecurity management, using
threat intelligence and analytics to proactively detect potential events, as well as
enabling a swift response to incidents. The reality is that security is an ongoing activity,
not a single project. As such, healthcare companies that are able to automate their
monitoring and response capabilities will be able to create the “fire doors” that stop
data leakage during a breach, track the remediation, and re-scan the system to ensure
the vulnerability has been corrected. Health systems must make security the foundation
of every application they launch and every infrastructure they procure.
Healthcare providers that successfully make this leap will limit the damage cyberattack-
ers can cause. Active defense measures can safeguard future patient revenue that
would otherwise be lost to competitors and also safeguard consumers who have
entrusted providers with their medical and financial information.
Patients with low
engagement levels
incur costs from
8-21% more than
patients who are
actively engaged
in their own health
decisions, according
to a 2013 study
published in Health
Affairs.
Source: IDC, Best Practices: Changing Payer and Provider
Relationships — Processes and IT Tools in a Reformed,
Collaborative Environment, Deanne Kasim, July 2015
8. care coordination center (CCC). The CCC
can determine the best entry point for a
patient to receive the most appropriate and
cost-effective care. Central to the success of
this center are the digital health technolo-
gies that support it. A care-coordination
system must present a patient’s data to
clinicians across the local health and social
care system in a contextual manner.
The key to improving population health
management is building a deep understand-
ing of patterns of health, disease and
well-being. The power of data comes from
analytics, and many providers need to
liberate the large amounts of data already
residing in enterprise systems, such as
EHRs. Such patient data is of enormous
value to individual patients and physicians,
but the potential value to the healthcare
system is much greater.
Organizations need to identify and under-
stand innovative uses of data that will help
them reduce costs and identify new revenue
streams. With aggregation, standardization
and analysis, data can offer the insights
healthcare providers need to close gaps,
improve care and make distinctions in
patient populations that can help stratify
services, deliver care more efficiently and
provide more appropriate, higher-quality
care in a wider range of settings.
Newer technologies also hold great promise
for population health management. Home
telehealth devices, for example, have
become more sophisticated and less expen-
sive, and telemonitoring data can be trans-
mitted to care managers more easily than in
the past. Interactive Web-based applica-
tions and tailored educational programs can
also be effective. These programs must,
however, be coupled with other interven-
tions to motivate patients to improve their
health. The coordination center could also
be leveraged to do telehealth monitoring,
some telemedicine consultations, as well as
telecoaching. While there is little data yet
on how mobile health applications affect
patient outcomes, healthcare organizations
should watch this space carefully, because
the number of mobile health applications
and devices is exploding.
8 | The Shift to Digital Health and the Era of Healthcare 3.0
One out of three individuals
will have their healthcare records
compromised by cyberattacks in 2016.
Source: IDC FutureScape: Worldwide Healthcare 2016 Predictions, November 2015
9. The Big Challenge: Data Mobility
Digital health technologies and new value-
based care models such as accountable care
organizations (ACOs), clinical network collab-
oration and care management, hold great
promise for optimizing care delivery. However,
their ability to recoup the anticipated value is
heavily discounted. In many cases, they are
targeting only silos in the healthcare value
chain. This means that the paucity of full-scope
data access and availability in healthcare will
continue to be a drag on realizing the promise
of digital health.
Addressing this data void — bridging the
healthcare data chasm with key information
flow pivots — will enable organizations to
create next-generation digital health services
that will coalesce the current fragmented
landscape. Four key levers are essential:
• A data ingestion/accessibility pipeline
that supports real-time, potentially
transactional, batch and streaming
interfaces
• The capability to semantically and
structurally transform incoming data
(and/or persist where necessary and
preserve provenance) so that down-
stream operations can operate on a
more stable base
• Federated query capabilities that
range from non-time-sensitive queries
against read-consistent information,
to highly transactional, real-time
continuous requests
• The ability for upstream business
processes and applications to exploit
the integrated data
These pivots create a connected network of
information that enables a healthcare enter-
prise to act with massive information bias
and drive toward gaining more and more
information that is current. This feedback
loop applies that data throughout the orga-
nization to enable better, faster and more
meaningful decisions. This is Healthcare 3.0.
Healthcare 3.0: The Target State
Healthcare 3.0 delivers the next wave of
productivity gains in healthcare delivery.
It is not coming just from the delivery of
information but also from the cross-linked
aggregation of a more complete informa-
tion corpus that understands the context
of a transaction and therefore provides the
critical information that is necessary to fulfill
the obligation.
At the heart of this productivity gain is
just-in-time information delivery. This is why
many health systems are moving to hybrid
clouds and have chosen platforms that
naturally have better information-access
properties. Despite the disruption to their
environments, firms are implementing these
platforms because they can cut latency to
end clients, minimizing the time it takes to
get interaction and collaboration moving.
They also offer an elastic capability to scale
up and down with demand. And they bring
rich information together cheaply and
deliver it cheaply to an end user. These
clouds are providing business advantages
not only in their operating cost, but also
in their operating model, very close to the
9 | The Shift to Digital Health and the Era of Healthcare 3.0
Payers Patients Providers Retailers CCG/ACOs Life Sciences Med Devices
Provider
Engagement
Patient Contact
Center
Patient
Engagement
Directory of
Services
Disease
Management
AWS Azure Biz
Cloud
Soft
Layer
Care
Transition
Care
Coordination
Care
Logistics
Systems of Engagement
Systems of Insight
Systems of Record
API Gateway/Open Data
Cognitive
Ploatform
Virtual Lifetime Patient Record
Cognitive
Platform
Cognitive
Insight
3rd Party
Services
IOT/PHR
Cognitive
Insight
3rd Party
Services
AWS Azure Biz
Cloud
Soft
Layer
AWS Azure Biz
Cloud
Soft
Layer
CSC Agility Platform
(Enterprise 1)
CSC Agility Platform
(Enterprise 3)
CSC Agility Platform
(Enterprise 2)
Popluation Health Enablement
11. By applying relevant technology and auto-
mation to every aspect of healthcare man-
agement, provider and payer organizations
will be able to deliver high-quality care to
patients in an efficient and sustainable
manner. As a result, the transition from
volume to value will be smoother and have a
much better chance of yielding the results
all healthcare providers desire for their
patients and their practices.
11 | The Shift to Digital Health and the Era of Healthcare 3.0
Healthcare Industry Disruption
A Leading Edge Forum (LEF) Perspective
In recent decades, the healthcare business has become increasingly industrialized
and bureaucratic — vast medical facilities, highly specialized training and practices,
complex information and management processes — all creaking under rising work-
loads and relentless financial pressures.
Modern medical technology can chip away at these problems. Hospitals expect
they will need fewer beds as more treatments are consumerized and performed in
homes, clinics, pharmacies and assisted-living facilities. New technologies will make
many tests — blood tests, blood pressure, ECG, insulin, eye, fertility — inexpensive
and increasingly self-administered. Pharmacies such as CVS, Walgreens and Boots
will become ever-bigger parts of the overall healthcare ecosystem.
Automated data collection — based on mobile phones and IoT devices — will be
faster, more detailed and more accurate than self-reporting; 3D printing will be
used to make everything from prosthetics to eyeglasses; advanced analytics will
sift through enormous data volumes to develop new knowledge, and algorithms
will nudge us all toward the “right” behavior.
All of these innovations will help deinstitutionalize care, lower costs and increase
the transparency of prices and efficacy. Additionally, many of today’s healthcare
startups will sell directly to consumers, often bypassing national or private insur-
ance. Over time, these new relationships could become increasingly disruptive,
especially as service volumes rise, costs fall and innovation migrates to the cloud.
For the foreseeable future, however, healthcare will remain a hybrid sector — part
government responsibility, part institutional marketplace and part empowered
customer experience. This will make the industry less susceptible to full-scale dis-
ruption, but disruption around the edges will become increasingly common.
Healthcare providers with agile digital infrastructures will be best positioned to
embrace these changes.
The Leading Edge Forum (LEF) is the independent research arm of CSC.
Only 5.5% of hospitals reported maintenance costs for EHR have
been higher than expected, while 26.5% of hospitals reported that
the total cost of ownership for the EHR is lower than expected.
Source: IDC, Business Strategy: Trends and Opportunities in the U.S. Healthcare Provider Market — A Discussion of the 2015–2016 Healthcare Provider Technology Spend Survey Results, Judy
Hanover, January 2016
12. 12 | The Shift to Digital Health and the Era of Healthcare 3.0
How CSC Can Help
CSC believes that our Agile Health framework, coordinated care solutions and innova-
tive technology platform can bring together major healthcare system stakeholders and
create an environment for success.
While taking into account possible constraints in existing organizations and systems, our
Agile Health framework brings together all stages of the HIT evolution:
CSC’s eHealth Optimization solutions enable organizations to maximize their financial
investments in EHR systems and create greater clinical value through new integration,
and open information and API gateways that support interoperability.
CSC’s Population Health Enablement solutions expand the care model and the integra-
tion of services to deliver better health and well-being population outcomes by enabling
enhanced clinical function and collaboration, and data insights to optimize care and
improved patient outcomes.
CSC’s Agile IT approach promotes an “as-a-service” enterprise that automates IT opera-
tions and ensures consistency of deployed solutions in a continuous delivery model that
enables organizations to meet the aggressive cycle time frames.
All of these components are delivered in a heterogeneous healthcare landscape that
lets organizations derive value from a flexible IT environment that enables and
responds to transformational change. It offers the richness of open clinical collabora-
tion with a built-in situation awareness security framework, which ensures privacy and
confidentiality.
CSC’s Agile Health as a Service Framework
13. 13 | The Shift to Digital Health and the Era of Healthcare 3.0
Authors
Femi Ladega is chief technology officer for CSC’s Healthcare and Life Sciences global
industry group. With experience of delivering major transformation engagements to private,
public and international organizations in Europe, America, Middle East, Australia and the
United Kingdom, Femi provides leadership for driving the solution strategy and technology
direction for the industry group.
oladega@csc.com
Gurdip Singh is vice president and general manager, responsible for the development and
delivery of software products and business services for CSC’s Healthcare and Life Sciences
global industry group. His primary skills include program leadership, operational business
management and business transformation.
gsingh69@csc.com
* CSC’s ResearchNetwork contributed to this paper.
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