All phases of an EHR migration require planning and an understanding of what data is needed to provide a complete EHR that supports clinical adoption, patient care, safety and satisfaction. This white paper examines the strategic considerations and challenges encountered when migrating data to a new system.
When moving to a new EHR all hospitals face the challenges of cross platform migration which includes migrating all types of historical patient data from legacy systems to new systems. In this white paper you’ll learn the steps involved in data migration, the pitfalls to avoid, steps to success.
Creating a successful patient experience strategy is a long-term investment in planning, surveying, training, and technology. Healthcare organizations hope these efforts will pay off at the very least with a growing base of loyal patients, better care quality, and stable reimbursement. And then there are those organizations that are turning patient experience into a movement. What’s their endgame? They intend to build state-of-the-art service-oriented cultures that rival other industries, and they are doing it through data analytics, unique communication programs, radical cultural shifts, and consumer-centric technologies.
The shift from inpatient to outpatient care is increasing as hospitals transition from volume to value. A specific shift is seen in interventional cardiology treatment (cardiac catheterization, intracoronary stents, and percutaneous transluminal coronary angioplasties [PTCA]), which is moving from an inpatient hospital to outpatient hospital setting. Preliminary data show that most interventional cardiology procedures will soon be performed in the hospital outpatient setting. It will be important for hospitals to consider future demand and volume for interventional cardiology services; capacity for an increase in hospital outpatient volume; and staffing and operational implications.
Even as the move to electronic health records (EHR) progresses in earnest, there are a myriad of challenges involving legacy data systems. Chief among these challenges is the cost of maintaining obsolete systems solely for the patient information they contain. When up to 70% of a typical IT budget is spent on maintaining the current IT infrastructure and application portfolio, organizations have little left to invest in much-needed innovation. According to a recent HealthLeaders Media Survey, many organizations are still adjusting after their migration to a new EHR system. Hospitals need to get a better grasp on all forms and sources of data that they have—and the data they don’t yet have—so that the right information can be delivered to the right individual, and in the right context, at the point of care.
Creating a state-of-the-art clinical documentation improvement (CDI) program isn’t just about boosting coding accuracy. It’s a key strategy in managing the transition from volume-based to value-based care, say healthcare leaders. That transition is a risky endeavor that is putting hospital and physician financial performance to the test. As hospitals participate in new care and business models aimed at improving value, leaders must ensure that their organizations are able to maintain reimbursement levels, effectively treat the chronically ill—especially in outpatient settings—and gather accurate data that will allow them to assess performance and segment their varying populations. While some organizations often believe they are leaving revenue on the table because of documentation and coding issues, CDI offers numerous opportunities for improving financial performance, finds a recent HealthLeaders Media survey of 149 healthcare executives at provider organizations.
HealthLeaders' survey on workforce management queried leaders from a cross-section of U.S. healthcare organizations, including hospitals, health systems, physician organizations, and long-term care/skilled nursing facilities. The 150 respondents represent executives across all disciplines — administration, clinical, operations, finance, marketing, and information. In the next three to five years, hospitals, health systems, and other patient service providers expect to augment their time-and-attendance and payroll systems with integrated applications that enable more sophisticated data crunching around labor analytics, acuity management, and staffing assignments. The goal? To convert the workforce from overhead to asset — a flexible, agile asset that will help organizations succeed in an increasingly demanding regulatory and competitive environment.
In this case study, large health systems implement IBM Watson Health to surface improvement opportunities. Using this tool, they were able to cut costs, reduce patients’ length of stay, acquire actionable data, address number of readmissions and improve management of COPD and sepsis.
We have conditioned patients not only to expect opioids for pain relief, but to utilize more and more of them, and the addiction is both psychological and physical. To remedy the situation, a lot of policies and practices and behaviors must change around how the health care system approaches pain. But we do not yet have the data and
analytics we need to determine what specifically to do at the patient level or the policy level. Download this whitepaper to learn more about the resources available and how we can fix this issue.
What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
Lenovo Health’s patient engagement, care delivery and diagnostic solutions — supported by a powerful data center and comprehensive services — help deliver higher-quality care and achieve better outcomes by empowering you to:
• Optimize patient engagement
• Streamline clinician workflows
• Improve diagnostic speed and accuracy
View this diagram to learn more.
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time.
AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance.
In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences.
Join this webinar to learn:
How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development.
How AWS supports BI solutions f
Published By: Nextgen
Published Date: May 25, 2017
As the Northwest Ohio area’s only academic medical center, the University of Toledo Medical Center (UTMC) delivers high-level physician education, while managing a 233-bed hospital for patients as well as 34 specialty clinics. This broad, complex level of responsibility needs a comprehensive, robust interoperability system to connect its different EHR systems so residents, physicians, and technicians can access data whenever, wherever they are.
With more than a half-dozen disparate systems, UTMC needs a reliable, robust system to tie everyone together so providers have critical access to patient data from the classroom to the operating theatre.
Read this case study to learn how the Mirth® solution has delivered to all of these requirements and enabled University of Toledo.
Published By: Nextgen
Published Date: Aug 08, 2017
Meditouch helps integrate patient engagement across your practice and the care continuum.
Foster patient satisfaction and achieve front office efficiency.
YourHealthFile patient portal for convenience, transparency, and communication.
Patient-generated data alleviates staff burnout via manual duties; prevents bottlenecks.
Easily refill Rx, reduce no-shows, quickly fill cancellations.
iPad functionality supports education and doctor patient relationship.
Garner better reviews, gain more online visibility, market your practice to new patients.
Patients are going digital — and taking the healthcare system with them. Learn how in the 2017 Digital Trends in Healthcare and Pharma report.
Download it now to learn:
Why two-thirds of healthcare companies are investing in data analysis.
How they’re building content marketing programs to boost patient knowledge.
What they plan to do with virtual and augmented reality this year and beyond.
Atlantic Health Systems, a nonprofit health care organization had a growing patient base and an evolving IT infrastructure that needed a scalable, flexible data center with world-class operations support that could be set up today to accommodate your needs tomorrow. Find out why they turned to Digital Realty.
When a pharmaceutical company discovered its risks under the new Patient Protection and Affordable Care Act, it turned to Collaborative to comb and consolidate its data. The result: compliance and insight into new business opportunities, too, through a company-wide business data warehouse and enhanced business intelligence.
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
Published By: Cognizant
Published Date: Oct 23, 2018
A group of emerging technologies is rapidly creating numerous opportunities for life sciences companies to improve productivity, enhance patient care and ensure regulatory compliance. These technologies include robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain, the Internet of Things (IoT), 3-D printing and augmented reality/ virtual reality (AR/ VR). This whitepaper presents a preview of five pivotal technology trends remaking the life sciences industry: AI and automation, human augmentation, edge analytics/ processing, data ownership and protection, and the intermingling of products and services.
Published By: Infomatica
Published Date: Mar 05, 2014
It’s no secret—healthcare is transforming. The transition to value-based care is well underway; healthcare players are feeling the impact and each has a role to play, including you! Moving to a value-driven model demands agility from every person, process and technology. These changes are generating more data than ever, there is a lot of data, in fact IDC Global Health Insights predicted that over the next 10 years, the amount of digital healthcare data created annually will grow 44 fold. Organizations that lead the pack and succeed will be those where clinicians, business leaders and patients are empowered with access to clean, safe and connected data. Learn more about your role in putting information to work…
Hear how leading hospitals are using the Digital Clinical Workspace as a platform for innovation to improve the patient and provider experience, and enable the right device at the right time for the right task. The session will cover new key technologies to help protect patient data and cover the recent announcement of Target Platform for Epic 2015.
Published By: Evariant
Published Date: Aug 22, 2018
Health systems that implement CRM-based engagement solutions stand to achieve significant strategic gains, from acquiring and retaining patients to supporting more positive clinical outcomes to increasing referrals to member providers and practices. Driven by easy access to rich consumer data and analytic profiling, as well as patient encounter histories, CRM-based engagement centers optimized for healthcare enable health system CSRs to quickly offer personalized responses to consumer or patient inquiries via multiple in- and outbound media, including telephone, email, social, and web.