Mobile healthcare trends, they’re only going to get more prevalent. That said, drchrono provides its official take on the top six mobile healthcare trends that are on the minds of physicians, business leaders and patients.
Daniel Kivatinos, COO and Co-founder, drchrono throws his hat in the ring and takes a look at some noteworthy mobile healthcare trends and issues that will be headlines this year.
Consumer Accountable Care – Today’s mobile devices allow consumers to become more accountable for their care. As high deductible healthcare plans become more popular, consumers are empowered now more than ever with access to reviews of physicians and can also track comparison of prices for healthcare procedures. Education about how to manage their own health is now easier, so patients are savvier and more informed with access to more apps and websites.
Here are a few examples of some popular tools and apps that consumers are using to be more responsible and own their health:
Less is Now More – As physicians get paid less, physicians are finding tools to do more with less. For example, with just an iPad a physician can run its practice, accessing and managing patient data. According to a recent article in The USA Today, as the demand for healthcare goes up and as a shortage of 45,000 primary care physicians is predicted by 2020, more non-physicians are doing some of the work, such as nurse practitioners, pharmacists and physician assistants. Quality metrics software pushed through EHRs can also simplify digital health and assist with reimbursements, as well as quality and efficiency standards.
There is so much data coming at physicians on paper, they generally skim a medical record, sometimes missing key information. Organizing all of the data in a digital format flagging the most critical, relevant data pertaining to a patient is a key time saver. The reality of the situation is that with paper medical records this workflow isn’t possible.
An enterprise-wide data warehouse and a cross-functional team approach to analyze care delivery and protocols has enabled Texas Children’s Hospital in Houston to improve care and achieve millions of dollars in savings at the same time.
Implementing electronic health records was only a starting point for the process, says Myra Davis, senior vice president and CIO for the Houston-based facility. Analyzing the data from the EHR system and other information systems in the hospital with diverse team members using visualization applications has enabled significant improvements in clinical processes, she said.
The use of the data warehouse and improved analytical processes has strong support from clinicians and research specialists, who lauded the approach’s ability to conduct research.
“It’s great to be in a meeting to slice and dice the data,” said Terri Brown, research specialist and assistant director of data support at Texas Children’s Hospital. “When it used to take three months to get a report, now within 30 minutes you have such a great understanding of the data. It takes away the false leads. It tells you what the source of truth is for how we have changed care delivery. It has been revolutionary.”
Guest post by Randy Van Egdom, partner/implementation manager at AdventEMO.
We understand how difficult it is to decide on an electronic health record (EHR) that is customized for your needs and requirements. But, because of the need, you have now finalized on an EHR which has been marketed to you as the perfect match for your practice. Now that the EHR is in place, you have started using it with the help of the vendor training, but hold on, why isn’t it working just as it was promised to you?
It happens more often than ever that the EHR works just right ‘til you have the vendor standing by your side training you on its implementation. Yet, it just fails to work the way it is supposed to when that training period is over. This is because that you face real problems only when you are totally dedicated towards it. During the training tenure you never look at it like an ongoing process.
In all likelihood, this EHR might be the one that will bring a great turnover and growth with your existing and new staff. Not just the efficiency of your staff increases with an EHR in place, even the EHR will update and change with time easing the entire process. The key driving element is to have a strategy that works for your organization and allows time for its development and deployment.
Here are the six EHR training tips you shouldn’t miss. Having this in place will take your practice a long way with the EHR.
Guest post by Brian White, founder of Competitive Solutions.
Should every physician practice adopt electronic health records? Maybe not. When evaluating the transition to an EHR system, it is critical to consider the long-term efficiency of the practice. Simply put, EHR adoption will not yield operational improvements for every practice.
While many practices using EHRs increase the overall throughput of the business and enhance profitability, others struggle with adoption of the new technology – slowing operations and creating significant financial losses. Many practices repeatedly change vendors or abandon the EHR entirely after significant investment. Making the right decision for your individual practice and navigating the pitfalls of EHR implementation can be difficult and time-consuming. Maximize your potential for success by undertaking a strategic evaluation that includes the following considerations.
If your practice has not adopted EHR, is now the time to do so?
1. What are the operational benefits/detriments of adoption?
a. Will EHR allow the practice to see more patients? Or, will it cause the practice to see fewer patients?
b. Will EHR require additional labor in the day-to-day function of treating patients? (In most cases, the answer to this question will be yes.)
c. Will EHR provide the ability to track trends in patient status, statistical data or ease of access that will be more efficient and/or clinically beneficial?
Guest post by Ellen Derrico, director of global market development, life sciences and healthcare at QlikTech.
Electronic health records (EHRs) are getting a lot of attention these days, but amid the hype there are skeptics out there arguing that the EHR is old news. However, I’d like to argue that the EHR is not dead; in fact, it’s growing up.
Today’s EHRs are so much more than a digital version of a paper chart. They are evolving and getting more sophisticated. One of the most promising and exciting developments of this is the integration of data discovery and analytics to analyze and compare EHR data. Where business intelligence (BI) was once used primarily to analyze data from a business perspective – revenue cycle management, finance, supply chain management – it’s increasingly being used to analyze patient data, physician performance, facility and utilization – all to improve clinical outcomes.
In healthcare, data discovery and analytics offer the possibility of improving patient care by synchronizing the resource planning with patient logistics and allowing physicians and nurses to focus on improving performance. With BI technology medical practitioners can look across data from different people and locations to support decision making not only for their individual patients, but also for larger patient populations. As a result, practitioners can improve patient outcomes and population health.
Guest post by James Hofert, Roy Bossen, Linnea Schramm and Michael Dowell, all partners with Hinshaw & Culbertson.
New federal healthcare legislation and implementing regulations, seek to exert control over multiple aspects of patient care. The Health Information Technology for Economic and Clinical Health Act (“HITECH”)[i] with staged implementation through 2016, seeks to not only promote implementation of electronic health record systems (“EHR”), but also regulate electronic communications of health information by and between the patient, physician, hospitals and other healthcare institutions so as to enhance care quality, care coordination and reduce costs.
HITECH further envisions implementation of clinical decision support algorithms for the diagnosis and treatment of disease both during admission and after discharge. The Hospital Readmission Reduction Program[ii], effective October 1, 2012, consistent with the objectives of HITECH seeks to financially penalize hospitals for higher than standardized readmission rates for heart failure, acute MI and pneumonia. The Center of Medicine and Medicaid Service (“CMS”) intends to expand application of the program to readmission for COPD, elective total hip arthroplasty and elective total knee arthroplasty in 2015[iii]. Consistent with preventative care goals so as to mitigate further health care problems as found in HITECH, CMS has refused to adjust the re-admission penalty program to account for readmissions unrelated to the patient’s initial hospitalization even though the readmission could be considered to be outside the hospital’s or physician’s control[iv].
Guest post by Laura Kreofsky, Principal Advisor at Impact Advisors.
It is no surprise many hospitals and eligible professionals are “heads down” on meaningful use Stage 2 preparations. EHR upgrades, evaluating performance against increased thresholds for carry-over objectives from Stage 1, and delving into the technical, procedural and workflow complexities of many new objectives has caught many providers off guard, particularly those for whom meeting Stage 1 was a relatively easy goal.
Two very challenging areas for Stage 2 for most eligible hospitals (EHs) and eligible professionals (EPs) are the objective “Summary of Care Record at Transitions of Care (ToC)” and those that relate to Public Health reporting.
For these objectives, it is not necessarily the performance thresholds that present the challenge, rather the EHR functional requirements, the requirements-behind-the-requirements, or the workflows that are the cause of consternation. These objectives and their unique challenges are described below:
Summary of Care Record at Transitions of Care (ToC).
This objective is challenging on two fronts. First, the population and generation of the Summary of Care Record (the “Record”), and second, the actual transmission of that document at transitions of care to intended recipients.
CIOs in healthcare face the constant challenge of doing more with less. Most are being asked to dramatically cut costs while continually tackling an ambitious list of responsibilities, including maintaining their organizations’ ability to demonstrate meaningful use, making the transition to ICD-10, sharing information through healthcare information exchanges (HIEs) and maintaining stringent patient privacy and HIPAA compliance programs.
Three key and often overlooked elements can help to address these tasks: document scanning, clinical language understanding and integration standards. Mastery of this electronic health record (EHR) trifecta can significantly simplify the healthcare CIO’s challenge.
Document scanning
Electronic health record adoption levels are steadily increasing, but ongoing interoperability issues result in high volumes of paper-based communications between providers. In fact, a survey conducted by the Bipartisan Policy Center in Washington, D.C., found that 71 percent of physicians identified lack of EHR interoperability and exchange infrastructure as major barriers to HIE.