Imagine a healthcare realm where big data isn't just a buzzword but the backbone of proactive patient care. As the digital age surges, the healthcare sector stands at an exciting crossroads.
Recent data suggests that by 2025, the global digital health market will be valued at over $500 billion, reflecting an undeniable shift toward tech-powered healthcare solutions. The powerful duo of Dynamics 365 and big data are central to this transformation.
5 Things to Know About the Clinical Analytics Data Management Challenge - Ext...Michael Dykstra
5 Things to Know About the Clinical Analytics Data Management Challenge - Extracting Real Benefit From Your EHR Data
The EHR revolution has created immense promise for improved patient outcomes and reduced costs but most healthcare organizations are struggling to experience significant benefits. The power of Applied Clinical Analytics lies in a simple but powerful concept: the importance of focusing on the accuracy and availability of the underlying data, first and foremost.
Data-driven Healthcare for ManufacturersLindaWatson19
Medical Device Equipment and Hospital Supplies Manufacturers also face increased pressure to comply with strict regulatory procedures to ensure patient safety. Product transparency and efficient end-to-end processes that optimize the manufacturing process and decision making are very important.
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/
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.
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/
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.
Digital healthcare technologies are transforming healthcare delivery globally. Companies are developing technologies like mobile apps, big data analytics, and smart medical devices to improve patient monitoring and outcomes. These digital innovations extract insights from medical data to enhance healthcare provisioning, reduce costs, and support preventative care and remote patient monitoring. Emerging areas like bioinformatics and medical analytics utilize big data to provide actionable clinical insights.
Medtech Joining the Digital Party - December 2015Megan Aparicio
The document discusses how the medical technology (medtech) industry has been slower than other industries and sectors of healthcare to embrace digital transformation. A survey found that only 33% of medtech companies see digital technologies as a major disruptor compared to 57% across all industries. Medtech companies also lag in having a clear digital strategy, properly structured organizations for digital initiatives, and appointing dedicated digital leadership roles. For successful digital transformation, the document recommends medtech companies focus on strategic clarity, appropriate structures, defining ownership of digital efforts, and hiring the right digital talent.
5 Things to Know About the Clinical Analytics Data Management Challenge - Ext...Michael Dykstra
5 Things to Know About the Clinical Analytics Data Management Challenge - Extracting Real Benefit From Your EHR Data
The EHR revolution has created immense promise for improved patient outcomes and reduced costs but most healthcare organizations are struggling to experience significant benefits. The power of Applied Clinical Analytics lies in a simple but powerful concept: the importance of focusing on the accuracy and availability of the underlying data, first and foremost.
Data-driven Healthcare for ManufacturersLindaWatson19
Medical Device Equipment and Hospital Supplies Manufacturers also face increased pressure to comply with strict regulatory procedures to ensure patient safety. Product transparency and efficient end-to-end processes that optimize the manufacturing process and decision making are very important.
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/
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.
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/
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.
Digital healthcare technologies are transforming healthcare delivery globally. Companies are developing technologies like mobile apps, big data analytics, and smart medical devices to improve patient monitoring and outcomes. These digital innovations extract insights from medical data to enhance healthcare provisioning, reduce costs, and support preventative care and remote patient monitoring. Emerging areas like bioinformatics and medical analytics utilize big data to provide actionable clinical insights.
Medtech Joining the Digital Party - December 2015Megan Aparicio
The document discusses how the medical technology (medtech) industry has been slower than other industries and sectors of healthcare to embrace digital transformation. A survey found that only 33% of medtech companies see digital technologies as a major disruptor compared to 57% across all industries. Medtech companies also lag in having a clear digital strategy, properly structured organizations for digital initiatives, and appointing dedicated digital leadership roles. For successful digital transformation, the document recommends medtech companies focus on strategic clarity, appropriate structures, defining ownership of digital efforts, and hiring the right digital talent.
Data Management - a top Priority for Healthcare PracticesData Dynamics Inc
The healthcare industry has become increasingly data-driven and poised to take a leap into the future, thanks to an increasingly tech-savvy and demanding patient-consumer base. While the Healthcare Data Ecosystem is presently fragmented and often, insufficient, pioneering firms see vast opportunities to be a part of the Healthcare revolution through proper management of their massive amount of Data.
Healthcare has unique data management challenges that other industries do not face, so the solutions that worked in those fields cannot simply be replicated. Challenges in healthcare data management include -
1. Data environment consolidation in acquisitions and mergers
2. Managing the rapid growth of unstructured healthcare data
3. Adhering to the strict healthcare regulations and reforms
On top of this, Healthcare organizations have to ensure that their data management solution must have a dependable & active security protocol to safeguard sensitive information of patients as per HIPAA norms. With the exponential increase in data, risk is only going to amplify.
In case of mergers & acquisitions, a sizable challenge for large healthcare corporates is the Amalgamation and Streamlining Data with the parent company’s processes. This becomes tedious and cost intensive as merging two data environments that are often radically different from each other into a single system, is difficult and tedious.
Healthcare companies need consumer-driven data strategies with patients at the forefront of their planning. How? To know, read on.
Data Dynamics is a leader in intelligent file management solutions that empower enterprises to seamlessly analyze, move, manage and modernize critical data across hybrid, cloud and object-based storage infrastructures for true business transformation.
Adoption of Cloud Computing in Healthcare to Improves Patient Care Coordinati...Mindfire LLC
The cloud has revolutionized the way we live and work. It has brought about a new era of flexibility and convenience, allowing us to access information and collaborate with others from anywhere in the world.
According to a Gartner survey, global spending on cloud services is projected to reach over $482 billion this year (2022). The numbers are much higher than those recorded last year, i.e., $313 billion.
The 10 most innovative digital healthcare solution providers 2018 convertedinsightscare
Such healthcare providers always foster a healthy team environment at their workplace and engage in behaviors that benefit the team and display empathic behaviors when interacting with patients and their family members. To highlight such great healthcare providers, we have come up with an issue of “The 10 Most Innovative Digital Healthcare Solution Providers 2018”.
The Work Ahead: How Data and Digital Mastery Will Usher In an Era of Innovati...Cognizant
In this installment of our Work Ahead series, we focus on the impact of digital transformation on the life sciences industry and what it will take to transform an industry value chain in need of drastic modernization.
This document discusses the transformation of healthcare systems to value-based care models and the role of data in enabling this transformation. Key points:
- Healthcare is transforming to focus on value-based care, population health management, and preventative care, which requires greater collaboration, data sharing, and data-driven decision making.
- Data is recognized as a critical enterprise asset, but many healthcare organizations struggle with poor data quality, lack of data visibility, and separating disparate data sources, hindering their ability to transform.
- True transformation requires treating data as a foundational asset and investing in people, processes and systems for enterprise information management. Leaders across clinical, business and IT functions must work together to harness the
Take a look through and you will discover how intuitive multifunctional printing technology is already supporting the transition to mobile and digital healthcare in organisations just like yours.
Inside you will see how many of the current challenges in Healthcare are easy to overcome with a new approach to document management.
The Fourth Industrial Revolution will permanently change how medical device companies do business. Historically, the medical device industry has created tremendous value via the creation of therapeutic devices. It is now time for the industry to invest more effort in analytics-based solutions that enable seamless, real-time care management.
The document discusses how healthcare organizations can improve patient outcomes through better integration of their systems, data, and governance. It emphasizes that integrating different sources of patient information, standardizing data, and using analytics tools are key to measuring performance and providing predictive analytics. The document recommends developing strategies for integration, data management, and choosing technology platforms that simplify workflows while focusing on the patient experience rather than just the systems.
The Digitization of Healthcare: Why the Right Approach Matters and Five Steps...Health Catalyst
While many industries are leveraging digital transformation to accelerate their productivity and quality, healthcare ranks among the least digitized sectors. Healthcare data is largely incomplete when it comes to fully representing a patient’s health and doesn’t adequately support diagnoses and treatment, risk prediction, and long-term health care plans. But even with the obvious urgency for increased healthcare digitization, the industry must raise this trajectory with sensitivity to the impacts on clinicians and patients. The right digital strategy will not only aim for more comprehensive information on patient health, but also leverage data to empower and engage the people involved.
Health systems can follow five guidelines to digitize in a sustainable, impactful way:
Achieve and maintain clinician and patient engagement.
Adopt a modern commercial digital platform.
Digitize the assets (the patients) and the processes.
Understand the importance of data to drive AI insights.
Prioritize data volume.
The intelligent enterprise in the experience economy for the healthcare industryMohammad AlZaubi
The healthcare industry faces tremendous change in every aspect of advancing business and the provisioning of healthcare. Today, the patient journey begins with prevention programs offered prior to admission to secure the well-being
of patients while capturing and using personal health data. The value and importance of analyzing and using patient data has increased significantly in past years – and demand for targeted analysis of patient data will expand in the future. In the experience economy, patients not only require transparent access to their healthcare data, they also expect to be informed
about every step of their hospital visit at any time.
Mobility, Analytics & Big Data for Life Sciencesjoemiles35
This article will focus on how life science and healthcare companies can leverage the significant innovations in mobile
devices, in memory computing, and realtime analytic technologies to drive down the cost of healthcare and improve
the accuracy and availability of information for business users, clinicians, physicians, nurses, and patients. These
innovations will enable the rapid analysis of vast amounts of data to deliver actionable insights that previously took
hours or even days to achieve, thus enabling a competitive business advantage and a superior patient outcome.
Data Is the New Strategic Asset in M&As: Is Ripping and Replacing EHRs Really...Health Catalyst
In this webinar, Tim and Dale, who worked together at Northwestern Medicine to establish an early-on and leading enterprise data warehouse solution for the hospital, physicians and medical school, will present their unique perspectives creating a thoughtful environment of comparison and contrast. This won’t be a typical corporate dozer—rather it will provide an opportunity for you to think deeply about the novel nature of your organization’s data. Historically, hospital expansion by building a larger footprint was the way to scale and capture market share. While those things still matter, attention has shifted to the expansion of the distribution of care through virtual and physical access points that embody a far more consumer friendly means to deliver care. It is in those entities that enriched data can be used to deliver care outreach that actually makes a difference for patients. That is where the new margins exist.
Final file of digitive healthcare ilovepdf-compressedinsightscare
Such healthcare providers always foster a healthy team environment at their workplace and engage in behaviors that benefit the team and display empathic behaviors when interacting with patients and their family members. To highlight such great healthcare providers, we have come up with an issue of “The 10 Most Innovative Digital Healthcare Solution Providers 2018”.
Healthcare and AWS: The Power of Cloud in Patient Care and Data ManagementSuccessiveDigital
1. The document discusses how cloud platforms like AWS can help healthcare organizations better manage patient data and deliver advanced patient care. It provides examples of how moving to the cloud improves data accessibility, analytics, mobility and enables telehealth solutions.
2. Key benefits of cloud-based healthcare data management include dismantling data silos, facilitating data sharing and integration, providing scalability, and allowing data to be easily accessible anywhere to support new care delivery models.
3. The cloud empowers patient engagement through tools that collect health data from devices. It also improves care management by enabling real-time communication and collaboration between healthcare providers.
Big data can help healthcare providers gain valuable insights from large volumes of patient data. By processing data at large scale and high speed, issues can be identified in real-time to make evidence-based decisions. Healthcare has undergone technology-driven changes due to digitization and data growth. Big data enables precision medicine by detecting meaningful patterns in vast amounts of data. It also allows for improved research and individualized treatment through comprehensive analysis of linked data sets. However, privacy and security of patient data must be ensured according to regulations like HIPAA.
How can Digital Twins Drive Healthcare Transformation?Way2Smile
Digital Twins can now be the future of all businesses.
In this blog, we have discussed the role of Digital Twins in the Healthcare industry.
Learn More at - https://bit.ly/3n2CPn9.
The document discusses how healthcare leaders need business intelligence tools to help them make informed decisions in response to changing market pressures. It describes how an integrated clinical and financial business intelligence system, such as an enterprise data warehouse, can provide healthcare organizations with a single source of truth by combining data from various systems. This allows organizations to gain deeper insights across the enterprise and empower stakeholders to enhance quality of care, reduce costs, and drive revenue.
How to Leverage Increased Data Granularity in the ICD-10 Code SetPerficient, Inc.
A webinar designed for healthcare professionals. We explore how to leverage the increased data granularity in the ICD-10 code set. While there are risks, a properly executed ICD-10 implementation will deliver plentiful rewards.
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."
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
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Data Management - a top Priority for Healthcare PracticesData Dynamics Inc
The healthcare industry has become increasingly data-driven and poised to take a leap into the future, thanks to an increasingly tech-savvy and demanding patient-consumer base. While the Healthcare Data Ecosystem is presently fragmented and often, insufficient, pioneering firms see vast opportunities to be a part of the Healthcare revolution through proper management of their massive amount of Data.
Healthcare has unique data management challenges that other industries do not face, so the solutions that worked in those fields cannot simply be replicated. Challenges in healthcare data management include -
1. Data environment consolidation in acquisitions and mergers
2. Managing the rapid growth of unstructured healthcare data
3. Adhering to the strict healthcare regulations and reforms
On top of this, Healthcare organizations have to ensure that their data management solution must have a dependable & active security protocol to safeguard sensitive information of patients as per HIPAA norms. With the exponential increase in data, risk is only going to amplify.
In case of mergers & acquisitions, a sizable challenge for large healthcare corporates is the Amalgamation and Streamlining Data with the parent company’s processes. This becomes tedious and cost intensive as merging two data environments that are often radically different from each other into a single system, is difficult and tedious.
Healthcare companies need consumer-driven data strategies with patients at the forefront of their planning. How? To know, read on.
Data Dynamics is a leader in intelligent file management solutions that empower enterprises to seamlessly analyze, move, manage and modernize critical data across hybrid, cloud and object-based storage infrastructures for true business transformation.
Adoption of Cloud Computing in Healthcare to Improves Patient Care Coordinati...Mindfire LLC
The cloud has revolutionized the way we live and work. It has brought about a new era of flexibility and convenience, allowing us to access information and collaborate with others from anywhere in the world.
According to a Gartner survey, global spending on cloud services is projected to reach over $482 billion this year (2022). The numbers are much higher than those recorded last year, i.e., $313 billion.
The 10 most innovative digital healthcare solution providers 2018 convertedinsightscare
Such healthcare providers always foster a healthy team environment at their workplace and engage in behaviors that benefit the team and display empathic behaviors when interacting with patients and their family members. To highlight such great healthcare providers, we have come up with an issue of “The 10 Most Innovative Digital Healthcare Solution Providers 2018”.
The Work Ahead: How Data and Digital Mastery Will Usher In an Era of Innovati...Cognizant
In this installment of our Work Ahead series, we focus on the impact of digital transformation on the life sciences industry and what it will take to transform an industry value chain in need of drastic modernization.
This document discusses the transformation of healthcare systems to value-based care models and the role of data in enabling this transformation. Key points:
- Healthcare is transforming to focus on value-based care, population health management, and preventative care, which requires greater collaboration, data sharing, and data-driven decision making.
- Data is recognized as a critical enterprise asset, but many healthcare organizations struggle with poor data quality, lack of data visibility, and separating disparate data sources, hindering their ability to transform.
- True transformation requires treating data as a foundational asset and investing in people, processes and systems for enterprise information management. Leaders across clinical, business and IT functions must work together to harness the
Take a look through and you will discover how intuitive multifunctional printing technology is already supporting the transition to mobile and digital healthcare in organisations just like yours.
Inside you will see how many of the current challenges in Healthcare are easy to overcome with a new approach to document management.
The Fourth Industrial Revolution will permanently change how medical device companies do business. Historically, the medical device industry has created tremendous value via the creation of therapeutic devices. It is now time for the industry to invest more effort in analytics-based solutions that enable seamless, real-time care management.
The document discusses how healthcare organizations can improve patient outcomes through better integration of their systems, data, and governance. It emphasizes that integrating different sources of patient information, standardizing data, and using analytics tools are key to measuring performance and providing predictive analytics. The document recommends developing strategies for integration, data management, and choosing technology platforms that simplify workflows while focusing on the patient experience rather than just the systems.
The Digitization of Healthcare: Why the Right Approach Matters and Five Steps...Health Catalyst
While many industries are leveraging digital transformation to accelerate their productivity and quality, healthcare ranks among the least digitized sectors. Healthcare data is largely incomplete when it comes to fully representing a patient’s health and doesn’t adequately support diagnoses and treatment, risk prediction, and long-term health care plans. But even with the obvious urgency for increased healthcare digitization, the industry must raise this trajectory with sensitivity to the impacts on clinicians and patients. The right digital strategy will not only aim for more comprehensive information on patient health, but also leverage data to empower and engage the people involved.
Health systems can follow five guidelines to digitize in a sustainable, impactful way:
Achieve and maintain clinician and patient engagement.
Adopt a modern commercial digital platform.
Digitize the assets (the patients) and the processes.
Understand the importance of data to drive AI insights.
Prioritize data volume.
The intelligent enterprise in the experience economy for the healthcare industryMohammad AlZaubi
The healthcare industry faces tremendous change in every aspect of advancing business and the provisioning of healthcare. Today, the patient journey begins with prevention programs offered prior to admission to secure the well-being
of patients while capturing and using personal health data. The value and importance of analyzing and using patient data has increased significantly in past years – and demand for targeted analysis of patient data will expand in the future. In the experience economy, patients not only require transparent access to their healthcare data, they also expect to be informed
about every step of their hospital visit at any time.
Mobility, Analytics & Big Data for Life Sciencesjoemiles35
This article will focus on how life science and healthcare companies can leverage the significant innovations in mobile
devices, in memory computing, and realtime analytic technologies to drive down the cost of healthcare and improve
the accuracy and availability of information for business users, clinicians, physicians, nurses, and patients. These
innovations will enable the rapid analysis of vast amounts of data to deliver actionable insights that previously took
hours or even days to achieve, thus enabling a competitive business advantage and a superior patient outcome.
Data Is the New Strategic Asset in M&As: Is Ripping and Replacing EHRs Really...Health Catalyst
In this webinar, Tim and Dale, who worked together at Northwestern Medicine to establish an early-on and leading enterprise data warehouse solution for the hospital, physicians and medical school, will present their unique perspectives creating a thoughtful environment of comparison and contrast. This won’t be a typical corporate dozer—rather it will provide an opportunity for you to think deeply about the novel nature of your organization’s data. Historically, hospital expansion by building a larger footprint was the way to scale and capture market share. While those things still matter, attention has shifted to the expansion of the distribution of care through virtual and physical access points that embody a far more consumer friendly means to deliver care. It is in those entities that enriched data can be used to deliver care outreach that actually makes a difference for patients. That is where the new margins exist.
Final file of digitive healthcare ilovepdf-compressedinsightscare
Such healthcare providers always foster a healthy team environment at their workplace and engage in behaviors that benefit the team and display empathic behaviors when interacting with patients and their family members. To highlight such great healthcare providers, we have come up with an issue of “The 10 Most Innovative Digital Healthcare Solution Providers 2018”.
Healthcare and AWS: The Power of Cloud in Patient Care and Data ManagementSuccessiveDigital
1. The document discusses how cloud platforms like AWS can help healthcare organizations better manage patient data and deliver advanced patient care. It provides examples of how moving to the cloud improves data accessibility, analytics, mobility and enables telehealth solutions.
2. Key benefits of cloud-based healthcare data management include dismantling data silos, facilitating data sharing and integration, providing scalability, and allowing data to be easily accessible anywhere to support new care delivery models.
3. The cloud empowers patient engagement through tools that collect health data from devices. It also improves care management by enabling real-time communication and collaboration between healthcare providers.
Big data can help healthcare providers gain valuable insights from large volumes of patient data. By processing data at large scale and high speed, issues can be identified in real-time to make evidence-based decisions. Healthcare has undergone technology-driven changes due to digitization and data growth. Big data enables precision medicine by detecting meaningful patterns in vast amounts of data. It also allows for improved research and individualized treatment through comprehensive analysis of linked data sets. However, privacy and security of patient data must be ensured according to regulations like HIPAA.
How can Digital Twins Drive Healthcare Transformation?Way2Smile
Digital Twins can now be the future of all businesses.
In this blog, we have discussed the role of Digital Twins in the Healthcare industry.
Learn More at - https://bit.ly/3n2CPn9.
The document discusses how healthcare leaders need business intelligence tools to help them make informed decisions in response to changing market pressures. It describes how an integrated clinical and financial business intelligence system, such as an enterprise data warehouse, can provide healthcare organizations with a single source of truth by combining data from various systems. This allows organizations to gain deeper insights across the enterprise and empower stakeholders to enhance quality of care, reduce costs, and drive revenue.
How to Leverage Increased Data Granularity in the ICD-10 Code SetPerficient, Inc.
A webinar designed for healthcare professionals. We explore how to leverage the increased data granularity in the ICD-10 code set. While there are risks, a properly executed ICD-10 implementation will deliver plentiful rewards.
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."
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Key Highlights:
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Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
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Talk Delivered at Valencia Codes Meetup 2024-06.
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It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
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You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
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https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
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https://www.youtube.com/@FLaNK-Stack
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https://www.datainmotion.dev/
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A Future-Ready Healthcare System Preparing for Tomorrow with Dynamics 365 and Big Data.pdf
1. A Future-Ready Healthcare System: Preparing for
Tomorrow with Dynamics 365 and Big Data
Imagine a healthcare realm where big data isn't just a buzzword but the backbone of proactive patient
care. As the digital age surges, the healthcare sector stands at an exciting crossroads.
Recent data suggests that by 2025, the global digital health market will be valued at over $500 billion,
reflecting an undeniable shift toward tech-powered healthcare solutions. The powerful duo of Dynamics
365 and big data are central to this transformation.
Journey with us as we delve deep into how these formidable forces are sculpting a future-ready healthcare
system, preparing it not just for tomorrow but for decades.
The Current Landscape of Healthcare Technology
As the 21st century unfolded, the marriage of healthcare and technology became both immanent and
intrinsic. Digital records replaced vast paper trails, and real-time patient monitoring became the norm
rather than the exception.
While advanced, today's healthcare technology landscape often grapples with siloed systems that lack
seamless integration, resulting in operational inefficiencies and, at times, hindered patient care.
2. Challenges with Outdated Systems
Despite the leaps and bounds in medical technology, several institutions remain tethered to outdated
systems. These legacy systems, while familiar, struggle to accommodate the massive influx of data
generated daily.
Furthermore, they often lack the robust security measures needed in today's cyber-vulnerable landscape.
These challenges aren't merely technological but can profoundly impact patient outcomes. Delays in data
retrieval or the inability to access crucial patient information in critical moments can spell the difference
between swift recovery and complications.
The Imperative Need for Modern Solutions
The healthcare sector's thirst for more integrated, secure, and efficient systems isn't just about keeping up
with the times. It's about creating a patient-centric model where every piece of data, from routine check-
ups to critical surgeries, is stored, accessed, and analyzed with finesse. Modern problems demand modern
solutions.
As patient volumes grow and medical data burgeons, the shift towards sophisticated platforms like
Dynamics 365 becomes not a choice but a necessity. This transition paves the way for better patient care,
streamlined operations, and the ability to harness the full potential of big data in predictive healthcare.
Dynamics 365 Business Central – A Closer Look
Dynamics 365 Business Central has emerged as a beacon for institutions aiming to synchronize their
operations and elevate patient care. At its core, this platform is built to integrate multiple business
processes into a unified ecosystem.
From finance and operations to patient relationship management, Dynamics 365 encapsulates all facets,
offering a 360-degree view. It's more than just an ERP system; it's a solution designed with scalability and
adaptability in mind, ensuring that as healthcare evolves, so does its technological backbone.
Tailored Benefits for Healthcare
The real magic of Dynamics 365 lies in its bespoke features for the healthcare sector. It accommodates
the intricate workflow processes inherent to hospitals and clinics. Automated reminders for patient
appointments, a unified dashboard for patient history, and even AI-driven insights to spot trends or
anomalies are part and parcel of this platform.
The integration of AI means that as more patient data gets fed into the system, the smarter and more
insightful the platform becomes. It's a future-proof solution, always learning and always adapting.
3. Real-World Success Stories
The efficacy of Dynamics 365 Business Central is theoretical and has been proven in real-world
scenarios. Consider, for instance, a renowned hospital in the Midwest. After integrating with Dynamics
365, they reported a 30% increase in operational efficiency, significantly reduced waiting times, and
enhanced patient satisfaction scores.
Another clinic on the East Coast utilized the platform's predictive analytics capabilities to forecast patient
inflows, allowing them to allocate resources more effectively and reduce overhead costs. These stories
aren't anomalies but testaments to what's achievable when modern technology meets dedicated healthcare
professionals.
Big Data – The Powerhouse of Modern Healthcare
In today's digital age, data isn't just numbers on a screen; it's the lifeblood of decision-making processes.
Big Data in healthcare refers to the colossal datasets harvested daily, often too large and complex for
traditional data-processing systems.
This vast sea of information captures everything from patient histories and treatment outcomes to genetic
sequences and biometric readings. It's a digital repository of human health at both individual and
collective levels.
The Potential Impact on Patient Care
Big Data's influence on patient care is multifold. With its analytical capabilities, patterns previously
hidden in mountains of data are now detectable. It allows healthcare professionals to predict outbreaks,
understand disease progression at a macro level, and even customize treatment plans at a micro,
individual level.
For instance, consider the field of genomics. By analyzing vast genetic datasets, physicians can now
prescribe treatments best suited to an individual's genetic makeup, heralding the era of personalized
medicine.
Operational Efficiency and Cost Management
Beyond patient care, Big Data stands as an invaluable tool for the administrative side of healthcare. It
offers insights into operational inefficiency, helping hospitals optimize resource allocation, reduce
wastage, and manage costs more effectively.
For example, hospitals can manage staffing needs more efficiently by predicting patient inflow during
specific seasons or analyzing peak operational hours, ensuring no resource is under or over utilized.
4. The Challenges and The Road Ahead
However, as with any revolution, the Big Data movement has challenges. Data privacy concerns, the
potential for information silos, and the need for specialized professionals to interpret complex datasets are
all valid concerns. But, as history has shown, challenges are stepping stones for innovation.
As we venture further into this era of data-driven healthcare, the symbiotic relationship between Big Data
and modern technological solutions like Dynamics 365 will undoubtedly pave the way for a more
informed, efficient, and compassionate healthcare landscape.
Synergizing Dynamics 365 with Big Data
The healthcare realm transforms when two technological giants like, Dynamics 365 and Big Data
converge. Dynamics 365, with its seamless integrative capabilities, serves as the ideal vessel to harness
the raw power of Big Data.
By channeling vast amounts of data through a system built for analysis and adaptability, healthcare
institutions can craft strategies and make decisions backed by unparalleled insights.
Decision-Making on Steroids
The integration of Big Data into Dynamics 365 supercharges the decision-making process. Instead of
sifting through disparate data sources or relying on isolated metrics, professionals now have access to an
interconnected web of information.
This comprehensive view allows for faster, more accurate diagnoses, predictive patient care strategies,
and the ability to forecast trends and challenges before they become problematic. Imagine identifying
potential health outbreaks or predicting patient recovery rates with incredible accuracy—all powered by
this synergy.
Personalization at its Peak
One of the most profound impacts of this integration is the advent of hyper-personalized care. With
Dynamics 365's AI capabilities working with Big Data's vastness, healthcare professionals can precisely
tailor treatments and care pathways to individual patients.
No longer does one-size-fits-all; instead, every patient's unique medical history, genetic makeup, and
even lifestyle choices can inform a customized care plan.
5. Streamlining Behind-the-Scenes Operations
While patient care remains at the forefront, the fusion of Dynamics 365 and Big Data offers a goldmine
for administrative optimization. Data-driven insights benefit resource allocation, financial management,
and even supply chain logistics.
Hospital administrators can make informed choices, whether it's regarding staff schedules, procurement
of medical supplies, or optimizing patient flow within the facility.
Preparing for the Future: Steps to Upgrade & Integrate
Before diving into the deep end of integration, taking a step back and evaluating your current healthcare
IT infrastructure is crucial. What systems are in place? Where does data reside, and how accessible is it?
Organizations can pinpoint gaps, redundancies, or outdated systems by understanding the current
landscape. This assessment doesn't just focus on the technological side and the human factor—identifying
who manages the data, the user proficiency levels, and the training required for new tools.
Choosing the Right Dynamics 365 Modules
Dynamics 365 isn't a monolithic system but a suite of applications tailored to specific business needs.
Choosing the right modules for healthcare institutions—whether for patient relationship management,
human resources, or finance and operations—is paramount.
Collaborate with a trusted Dynamics 365 consultant or partner, someone well-versed in the healthcare
domain, to ensure your choices align with your current needs and future aspirations.
Data Migration and Cleanup
With a clear direction set and Dynamics 365 modules in place, the next step is data migration. This stage
involves the mere transfer of data and its cleansing. Big Data's power lies in its quality.
Duplicate records, outdated information, or conflicting data points can hamper the integration's success.
Use advanced data management tools, and consider hiring data experts, to ensure the integrity and
reliability of your migrated data.
Integration and Testing
Once data is settled in its new Dynamics 365 home, it's time to integrate the platform with other existing
systems—electronic health records, imaging systems, or laboratory information systems. Integration
ensures seamless data flow across platforms, which is vital for real-time analysis and decision-making.
However, before going live, rigorous testing is essential. Simulate real-world scenarios, assess system
responses, and refine any hitches to ensure a smooth operational transition.
6. Training and Change Management
Upgrading systems isn't just about technology; it's equally about the people using it. Organize
comprehensive training sessions for different user groups, from medical professionals to administrative
staff. Also, adopt a robust change management strategy.
This ensures everyone is on board, understands the new system's benefits, and can effectively utilize
Dynamics 365 and Big Data's combined capabilities.
The Tangible Benefits: ROI, Efficiency, and Enhanced Patient Care
At first glance, embarking on a transformative journey integrating Dynamics 365 and Big Data is a
considerable investment. However, the return on investment (ROI) extends well beyond monetary figures.
Sure, streamlined operations and reduced inefficiencies lead to financial savings. But the real ROI is seen
in reduced patient readmissions, optimized resource utilization, and faster, more accurate diagnoses—
outcomes that, while quantifiable, resonate far beyond balance sheets.
Operational Efficiency Unleashed
Integrating Dynamics 365 with Big Data is like adding rocket fuel to a car—it supercharges every aspect
of the operation. Automated workflows eliminate redundant processes, predictive analytics optimize
resource allocation, and real-time data ensures swift decision-making.
7. This operational overhaul isn't just about speed but about precision. It's about ensuring that every move
made, every resource allocated, and every decision taken aligns perfectly with the institution's goals and
patient needs.
Patient Care - A Paradigm Shift
In the age of information, patient care transcends mere medical interventions. It's about providing a
holistic, personalized healthcare experience. With Dynamics 365's AI capabilities harnessing Big Data
insights, medical professionals are equipped to deliver predictive, personalized, and proactive care.
Patients aren't just recipients of medical services but active participants in a healthcare journey tailored
for them, from customized treatment plans to predictive health insights.
A Legacy of Continuous Improvement
One of the underrated benefits of this integration is its capacity for continuous improvement. The
healthcare landscape is ever-evolving, with new challenges and opportunities emerging daily.
With Dynamics 365 and Big Data at the forefront, healthcare institutions can adapt in real time. They can
refine strategies based on current data, adopt best practices as they emerge, and ensure they remain at the
cutting edge of healthcare delivery.
Final Words
For institutions ready to embrace this change, the horizon is filled with promise: streamlined operations,
unparalleled patient care, and a tangible return on investment far beyond monetary metrics. It's not just
about adopting new technologies but crafting a narrative of progress, where every data point is a step
towards a brighter, healthier future.
As we stand on the cusp of this transformation, healthcare institutions have the tools and insights to
witness and shape the future of patient care. The journey ahead is promising, and the time to embark is
now.