Category: Editorial

AI-Based Automation Framework For Healthcare

By Cynthia Burghard, research director, IDC Health Insights.

Cynthia Burghard

Artificial intelligence (AI) has two faces in healthcare. One face sings the praises of AI as the tonic that will enable healthcare to deliver better clinical outcomes at a lower cost and the second face is full of skepticism and raises barriers to adoption at every turn. It is heartening to see that a third face is emerging, the thoughtful and appropriate use of AI to predict adverse health events; to identify and stratify patients in need of health, social, and human services; and the application of AI in the automation of tasks, activities, and processes.

To understand the likely evolution of AI-based automation, it’s important to evaluate the interaction of humans and machines across these five levels. At each level of automation, the following questions must be asked and answered:

  1. Who produces insights? – Does the human or the machine (AI) analyze data and deliver insights from such analysis? Does the human or the machine describe what something is, how it trends, why something is happening, and what might happen next?
  2. Who decides and how? – Once all relevant analysis has been conducted, does the human or the machine make the decision based on the derived insights?
  3. Who acts based on the decision? – Finally, a decision should lead to an action by either a human or a machine? The action can be in the digital or physical environment.

Based on the responses to these questions, IDC has identified the following five levels of AI-based automation:

  1. Human Led – At the first level, it is the human who analyzes the data using limited technology, such as tools for only descriptive analytics; it is the human who makes the decision based on the analysis (or experience); and it is the human who acts based on the decision.
  2. Human Led, Machine Supported – At the second level, the human continues to lead data analysis, decision making, and action steps but is now more reliant on the machine across these steps.
  3. Machine-led, Human Supported – At the third level, it is the machine that is using a wide range of analytic and AI techniques to conduct the analysis and produce insights. These insights are reviewed by humans. The human still makes the decision based on machine’s recommendations, and it is the human who acts based on the decision. However, at this level, the machine acts to provide oversight over human decision making and execution.
  4. Machine Led, Human Governed – At the fourth level, the machine analyzes data and produces insights without the need for human review. At this level, the machine decides based on the analysis of all available data and a framework of human-developed governance policies and procedures. At this stage, it is also the machine that acts based on the decision under the governance of humans.
  5. Machine Led – At the fifth level, the world has likely achieved general AI. At this stage, there is a full AI-based automation without the need for human involvement. At this level, we need to think of machines that set their own goals and understand all mathematical, economic, legal, and other external constraints. Most AI academics and experts in labs of commercial enterprises predict this level of AI to arrive no sooner than in about 50 years.

In recent years, one of the shortcomings in the commercial sphere of AI has been the misrepresentation of the scope of possible automation. Too often, we hear claims of AI systems automating end-to-end processes and predictions of massive labor losses, this does a disservice to organizations trying to plan for the appropriate level of investment in AI. There is a need for a pragmatic framework that decision makers across industries can use to assess opportunities and risks of AI-based automation. The levels of AI-based automation must also be viewed in the context of the scope of automation. We define this scope where:

IDC’s AI automation framework was developed to help wade through the hyperbole associated with AI.  Our goal is to help provide a planning tool and key piece of vendor evaluations processes to fully understand the role AI is playing in software and guide strategic decision making.

How Can America Respond To the Opioid Crisis?

By Abhinav Shashank, CEO and co-founder, Innovaccer.

“Relief from deadly pain is just a pill away!”

Abhinav Shashank

How many times have we heard catchlines like these? It was easy to get your hands on colorful pills and capsules that could ease off the pain and were easily available to act as a part-time solution to various medical problems. By the 1990s, they had already become the flagbearers of “pain-less care.”

Cut to 2019: 130 people in the US die every day due to opioid overdose.

Painkillers that kill pain or people?

Patients in pain are sometimes prescribed painkillers — especially the opioid pain medications- that can practically sabotage the very aim of improving their health in the long run. In times when voices for wellness-centric care delivery culture are getting louder by the day, the alarming rate of the opioid crisis should be the first thing healthcare stakeholders should address.

Patients’ tendency to take excessive opioids might end up genetically endangering the present and future generations. This is a grave concern for the entire US population.

According to a study, increases in opioid prescribing have been noted in several other high-income countries including Australia, Canada, Denmark, Finland, Germany, Sweden, and the United Kingdom. However, these increases have occurred gradually and are generally much smaller in magnitude than the increase observed in the United States.

In the US, opioid addiction has reached alarming levels, putting public health as well as the economy and national security at stake. Declared as public health emergency since 2017, the opioid crisis has already taken a toll of more than 1 trillion on the economy in the period 2001 to 2017. Projected to further incur a cost of $500 billion by 2020, it is bound to have rippling effects in terms of both loss of lives and an addiction threat to the younger population.

Every healthcare stakeholder is equally hit

Over-prescription of opioids and ‘doctor shopping’ has multiplied the usage on different levels, which has ended up adding to the nation’s healthcare expenditure. Patients being the direct users in the process suffer without realizing the gradually-building addiction- which does more harm than good with breathing problems, nausea, and drowsiness on opioid withdrawal.

Because of lack of calculated prescription, physicians also unknowingly become a part of this overdone process. Prescribing doses that are tough to withdraw brings down the patient health and ultimately affects the care outcome. Providers without the detailed knowledge of network functioning might end up making repetitive payments for painkillers used by patients.

At the same time, when patients in desperate need of opioids do not get access to it, they resort to other illegal means. They try to find loopholes in the prescriptions- patients usually go in, complaining about a bunch of different symptoms, perhaps even under different names. They might even pay for the medications in cash instead of using their insurance and resort to doctor shopping. And physicians are often unaware of the lethal combination to which the patients are subjecting themselves.

Can deep insights into data be helpful against opioids?

Data might seem like an uncorrelated term, but if we deeply analyze, it can revamp our battling approach with opioids. Doctor shopping, for example, is a direct outcome of data discrepancy, where patients end up getting access to drugs with multiple physician prescriptions.

A universal data pool with live-data access across the network is a key solution in this scenario. Even though organizations and federal governments are deploying data solutions extensively, resources must be channelized to shift focus on reducing opioid usage throughout the data pool.

While opioids are prescribed to people of all age groups, depending on the seriousness of surgery pain, chemo, accident among others, we can change the impacts for different suffering populations.

One particular case is that of the opioid usage in pregnant women leading to premature deaths and growth restriction in the fetus. In such occurrences, an integrated approach to care delivery in the maternity wards can reap rich dividends. This can significantly reduce the problems of low birth weight and developmental disorders in newborn babies.

Another case is that of teenagers who mix prescription opioids with other substances, making them really vulnerable to dangerous drug overdose outcomes. For them, it is important that data records track their transition to adult care, as well as keep a unified record of prescribed drug doses.

Healthcare agencies and organizations taking note of the situation is a good sign

Forty-nine states, the District of Columbia and Guam, all have a prescription drug management program (PDMP) in place. With HHS and NIH focusing their efforts around preventing the misuse of opioids nationally, California has become the 28th state to mandate that providers check the PDMP database, CURES, before prescribing opioids and updating the prescription in the EHRs. Following the lead, three more states — Ohio, Kentucky and New York- have implemented the mandate.

The Road Ahead

While mandates and policies have been known to reduce prescription drug abuse, the real challenge that needs to be addressed lies in how physicians are able to change patient behavior. Starting from the access to real-time prescription data right at the point of care, when the prescriptions are being made to creating care plans address the exact pain points of patients- US healthcare needs to take every step it can to address this epidemic. Battling this war will definitely require a new approach!

Strategies To Engage Consumers In Data Sharing To Improve Healthcare

By George Mathew, chief medical officer, North America, DXC Technology

George Mathew

Connected consumers, and their data, will play a critical role in transforming the next era of healthcare. In fact, global industry analyst IDC predicts that by the end of 2020, 25 percent of the data used in medical care will be collected and shared with healthcare systems by patients themselves.

Using devices, such as wearable fitness trackers, biometrics, implants and digital voice assistants, patients will generate real-time information about their diet, fitness and sleep habits, mood and purchasing behavior. Providers will be able to access and analyze a more complete picture of each patient, enabling them to make better care decisions, faster.

However, for this trend to truly drive transformation, organizations will need innovative approaches to care delivery that engage patients to actively share their healthcare data and participate in directing their own health services.

Patient-friendly Care Delivery

As increasingly empowered consumers, patients are demanding a shift from the traditional reactive model of healthcare toward one that is more proactive, continuous and collaborative in delivering the most relevant care when and how it is needed. Recognizing this trend, many healthcare organizations are investing in tools that are designed to provide more personalized patient experiences.

Patient-centered care tools can include electronic portals, mobile applications, wearables, chatbots or patient relationship management systems that capture more data and enable patients to conveniently access their health information. Patients can also use these digital tools to more-readily monitor their care plans, communicate with providers, access support networks, request appointments and prescription refills, and support behavioral changes through push notifications that guide them toward the next-best actions for maintaining their health. They can become more involved, and engaged, in managing their own health and building a robust record of actionable data.

For health organizations to maximize patient-driven insights, they can prioritize digital platforms that automate data collection, integration and measurement to reduce patient effort, and to ensure that analytics capabilities are as predictive as possible to amplify preventive services.  

Transparency and Collaboration

Providers will also need to earn and maintain patients’ trust by approaching care decisions collaboratively and being transparent about how patient data may be collected and used to drive health outcomes. Healthcare organizations may consider creating an information base of health data with shared access by patients, providers and third-party communities where the patient feels a strong affinity, such as their fitness center or employee wellness program. Through proper consent and individualized access based on role, multiple entities can contribute and extract from this pool of data, driving richer insights for acute health concerns or providing “dashboards” for longer-term well-being and family health.    

Additionally, providers can view patients as partners in working toward shared incentives in value-based care. For example, digital health apps could be used to analyze all available data and bundle health services into care-plan options that optimize provider resources. This approach helps patients personalize a plan based on their desired outcomes, budget and lifestyle goals.

Healthcare providers may also consider establishing official partnerships with self-organizing patient cooperatives designed to collate their data and work as a group to trade aggregated information for discounted health services and financial incentives. This type of model could, for example, allow the cooperative to pool their data to pre-buy services or procedures directly from providers. In both examples, providers can offer affordable, personalized care while strengthening their relationships with patients and, ultimately, creating a truly connected healthcare system.

Next Steps

There’s no question that patient-generated health data has become a valuable resource for providers. Healthcare organizations that can engage patients to collect and share their personal health data will derive rich, new insights that positively influence clinical decisions and drive higher quality care. To do this successfully, providers can prioritize personalized inpatient, outpatient and virtual services that combine consumer-friendly technologies and innovative incentives. Improved patient experiences and clinical effectiveness will create new opportunities and imperatives to advance the future of care.  

5 Ways Medical Practices Can Adapt to the New Digital Era

By Jared Jost, vice president of marketing, PatientPop.

Jared Jost

Of all the changes we’ve seen in the last century, the digital revolution has an excellent claim on being the most profound. As businesses of every stripe discover just what can be done within the rapidly evolving digital world, ongoing changes continue to shake up the landscape. This affects and benefits medical practices just like any other company or business, and several significant points have emerged that best illustrate how medical practices can take advantage of the changes that have given patients increased access and decision-making power.

1. Acknowledge this is the current world of patient demand

It would be easy for physicians to ignore the details and intricacies of the digital landscape, simply because they have a full schedule and a loyal patient base. Why change? Because patients are expecting digital access, and healthcare providers’ opportunities for acquisition and retention exist online.

A 2019 PatientPop survey found that three out of four people have gone online to find out about a doctor, a dentist, or care. Fifty-seven percent of patients do this with some level of regularity. Being present and available online is simply a matter of going where the patients are.

2. Attract patients the way any business attracts customers

As practice owners will tell you, a healthcare practice is a healthcare business. Your patients are your customers, and potential patients in your market are looking for you or your services online. If you’re not easily found, your business could get lost.

That’s why having a strong web presence is crucial to your success. Not only does it position your practice to be found more readily online, but it also delivers a great first impression for patients unfamiliar with your practice. What are the best steps to get started?

3. Simplify scheduling for patients and staff

One thing that kills online shopping is an overly complex cart. If it’s tough to get the customer to conclude the sale, that can mean lost revenue — and a lost customer. In online retail, this is called “cart abandonment.” Similarly, if you don’t make it easy for an interested website visitor to make an appointment with your practice, you lose the opportunity at a new patient.

To encourage that appointment, feature online scheduling on your own website and across any third-party websites that offer it. In ideal situations, requests can integrate directly into your EHR’s scheduling system, per your rules and parameters.

Additionally, set up your mobile presence to allow click-to-call functions, so that mobile users can call you directly with one click. This makes for a convenient process and helps you better “convert” website visitors—mobile or otherwise—into patients.

4. Pay close attention to online reviews, both positive and negative

The 2019 PatientPop survey previously referenced noted that when patients decide on a healthcare provider, patient reviews are their most influential online source. Online reviews are one of your greatest tools in drawing in new potential patients.

Make sure you monitor reviews across the web and when you find negative reviews—and they do happen to everyone—be ready to respond promptly and concisely. Tell any dissatisfied patient that you appreciate their feedback, want to address their concerns, and can speak with them directly to remedy the situation. You’ll show that patient, and any others reading the interaction, that you’re the kind of doctor who listens and responds to your patients.

5. Keep it simple

It can be tempting to quickly add new software or service to meet an immediate need or tackle a business problem. But that often requires adding more along the way — to cover website management, SEO, online reputation management, blog development — burdening your practice with multiple tools and extra costs. Instead, look for an all-in-one offering that can connect all the points of your web presence and online reputation in one practice growth solution. You’ll get unified insight into how well your efforts are performing, and a single point of contact for your ongoing needs.

As the digital age continues to produce new and exciting developments, making these fit into your current operations will help produce the best chances at success going forward.

Primary Cares Initiative: How eConsults Provide Support

By Chris Jaeger, advisor for ACO and health system strategy, AristaMD.

In April 2019, CMS announced the Primary Cares Initiative which is expected to reduce administrative burdens and increase patient care while decreasing healthcare costs. Learn more about the payment models of the Primary Cares Initiatives, and how eConsults directly support this new initiative.

While the healthcare landscape has never been static, rarely has it seen such radical changes as within recent decades. The United States’ population continues to age, and the prevalence of chronic conditions such as obesity, diabetes, heart disease, and anxiety/depression contribute to a substantially increased demand for care. These factors are pushing a shift from a provider-centric model toward more efficient, outcomes-based models that put the patient at the center and heavily rely on primary care as the steward of patient care.

Primary care is a vital resource in dealing with the many factors altering the healthcare landscape. A 2019 study published in JAMA Internal Medicine corroborates this, finding that for every 10 additional primary care physicians per 100,000 people, patients saw a 51.5-day increased life expectancy—more than 2.5 times the increase associated with additional nonprimary care physicians. For years, primary care delivery has shifted along with changes in the healthcare landscape. Innovations in primary care and aligned incentive models reward more continuous and comprehensive healthcare, as opposed to care delivery and reimbursement models for discrete moments or episodes of care highlighted by numerous appointments and separate visits to different providers. These innovations strive to put patients at the center of care above all else.

To promote further adoption of primary-care based models, the U.S. Department of Health and Human Services (HHS) and Centers for Medicare & Medicaid Services (CMS) recently announced a set of payment models meant to further transform primary care through value-based options under the new Primary Cares Initiative. This voluntary initiative will test financial risk and payments for primary care physicians (PCPs) based on performance and efficiency, including five new payment models under two paths: Primary Care First (PCF) and Direct Contracting (DC). These models, slated to hit 20 states in the year 2020, seek to address the many difficulties in paying for, and incentivizing, valuable primary care within current payment models.

Primary Cares Initiative payment models aimed to PCPs

All five of the payment models described in the Primary Cares Initiative are aimed at PCPs in the hopes of improving services at these linchpins within the healthcare system. However, these models can be grouped into two distinct categories–Primary Care First and Direct Contracting–and there are variations within these groups.

Primary Care First

The models categorized under PCF are aimed squarely at relieving strained hospital resources and improving health outcomes through primary care. These models aim to more adequately reward primary care providers through performance-based payment adjustments, in the hopes that this will be an effective way to reduce the overuse of hospitals for healthcare needs. These two models are:

  1. Primary Care First (PCF): The general PCF model will test whether risk- and performance-based payments for primary care practitioners will reduce Medicare expenditures while preserving or improving quality of care. Under this option, payment will be provided to an advanced primary care site based on the size of its patient population (on top of a flat primary care visit fee), and adjusted based on performance within “easily understood, actionable outcomes,” according to CMS. The performance-based adjustment represents a potential quarterly upside of up to 50 percent of revenue as well as a potential small downside (10 percent of revenue).
  2. Primary Care First – High Need Populations: In addition to the general PCF model, the Primary Cares Initiative includes a payment model specifically geared toward practices specializing in care for high-need patient populations. This includes patients with chronic care needs and a group the model refers to as seriously ill populations (SIP). This payment model creates an option for high-need patients without a primary care physician to receive care from a participating practice if the patient indicates interest.

Direct Contracting

The direct contracting path includes a pair of risk-sharing payment models, both voluntary, along with a third payment model for which CMS is seeking public input. Like the PCF models, these models aim to reward those providing more efficient, high-quality care. However, these models are geared toward organizations with experience serving broader patient populations rather than individual primary care practices. The three models are:

  1. Direct Contracting – Global Population-Based Payment (PBP): Participants in the Global model will take on the full share of risk, but also be eligible for 100 percent of any savings achieved on the total cost of care for aligned beneficiaries.
  2. Direct Contracting – Professional PBP: Under the Professional model, participants will retain both savings and losses accrued on the total cost of care for aligned beneficiaries, but at a rate of 50 percent.
  3. Direct Contracting – Geographic PBP: The Geographic model is similar to the Global model, but with an important caveat: Participants would accrue 100 percent of savings or losses on the total cost of care, but only for aligned beneficiaries within a target region. The stated aim for this model is to drive accountability to a local level so that communities can develop strategies tailored to more individualized needs. CMS is still seeking input on this model, however.

Additional healthcare initiatives strengthening primary care

As mentioned above, primary care is a crucial avenue for fostering improved health outcomes for a wide range of patients and populations. In addition to increased life expectancy, some motivations for focusing on improved primary care include the following:

For many, primary care serves as the entry point to the healthcare system, as individuals and families alike head first to their primary care physician for treatment. Primary care emphasizes population health and managing chronic illness. As such, primary care is an ideal means for improving our healthcare system on many fronts including access, cost of care, and quality of healthcare services.

Given the benefits listed above, it’s no surprise that so much attention has been paid to improve primary care, and the Primary Cares Initiative is not the first such effort. Programs such as the Patient-Centered Medical Home (PCMH), the Comprehensive Primary Care (CPC+) program, and Medicare Advantage Value-based Insurance Design (VBID)  test model give healthcare stakeholders the means to promote triple and quadruple goals of allocating resources more efficiently, improving health outcomes, and improving the experience of all individuals involved–including both physicians and patients.

As its name implies, the PCMH is focused on putting patients at the center of healthcare. It recognizes the value of team-based primary care, and five core attributes are included in this model:

  1. Patient-centered
  2. Comprehensive
  3. Coordinated
  4. Accessible
  5. Committed to quality and safety

Beyond PCMH is the CPC+ program, an initiative aimed squarely at care sites that have demonstrated significant improvement and transformation in pursuit of value-based goals. Payers are invited by CMS to participate in the program if they provide, or aim to provide, care practices that go beyond fee-for-service payments based solely on visits and episodic appointments. Through this program, CMS aims to work with payers representing 5 to 7 markets and accounting for roughly 525 practices (around 75 practices in each market). Some 330,750 patients would be reached by this initiative, which focuses on several functions for practices to achieve greater healthcare successes including:

  1. Access and continuity
  2. Care management
  3. Comprehensiveness and coordination
  4. Patient and caregiver engagement
  5. Planned care and population health

By their nature, Medicare Advantage (MA) plans seek to optimize the delivery of healthcare for their members. Receiving capitated payments to provide all Medicare-covered services to plan participants, plan objectives are the perfect setting to test models of care delivery that may reduce cost while being able to offer beneficiaries improved access, options, and quality of care–versus traditional Medicare plans. MA plans have proven to be more efficient in reducing expenditures than both Accountable Care Organizations (ACOs) and traditional Medicare. The Medicare Advantage Value-Based Insurance Design (VBID) model was introduced in 2017 by CMS to allow MA plans the opportunity to offer supplemental benefits or reduced cost-sharing for enrollees with certain chronic conditions who engage with services/providers that are of highest clinical value to them. CMS released major changes to the VBID model in January 2019, and plans to test new additions 2020 to 2024. The updates are intended to lower costs while increasing the quality and coverage of care for Medicare beneficiaries and include:

Thus, the Primary Cares Initiative represents not just a single push to improve the healthcare system as a whole through primary care, but an overarching drive to do so via many initiatives and programs. Bringing more practices on board with initiatives such as the PCMH, CPC+, innovation within Medicare Advantage, and the Primary Cares Initiative will undoubtedly solidify the success of these and future programs, as stakeholders and policymakers come to a greater understanding of how to incentivize and create a path toward improved healthcare outcomes.

eConsults directly support Primary Cares Initiatives by maximizing primary care’s value in healthcare delivery

A continuing challenge in maximizing the efficiency and effectiveness of primary care is that of managing specialist referrals. Electronic consultations (eConsults) have gained favor in meeting this challenge. eConsults help in reducing variations in referrals, increasing access to specialist care and consultations among broader populations, and reducing wait times for specialist visits. 

With the new CMS Primary Cares Initiative targeting advanced primary care practices for these payment models, eConsults are becoming increasingly valuable. Advanced primary care practices are defined as those that demonstrate an aim toward implementing fundamental strategies that focus on patient needs, with primary care as the foundation for maximizing value in healthcare delivery. These practices focus squarely on improving primary care in terms of health outcomes and lower costs. A key component of such advanced primary care practices is shepherding resources to improve efficiency and effectiveness in order to achieve their goals.

eConsults — which directly support improved health outcomes, reduced costs, and increased provider and patient satisfaction — are one such resource. As more health systems look toward creating PCMH models and consider adopting new value-based payment models under the Primary Cares Initiative to better manage the health of their patient population, eConsult systems will be instrumental in improving team-based care coordination and communication. 

How Voice Technology Fosters Personal Patient Connections At Scale

By Shara Cohen, vice president of customer experience, Clinical Effectiveness, Wolters Kluwer, Health.

Hospitals and health systems are under enormous pressure to provide high quality care in an environment of declining reimbursements and shifting payment models. With the rise in value-based payments, provider organizations must increasingly focus on the health and performance metrics across whole populations.

Shara Cohen

To provide patient-centered care and remain financially viable, providers need to adopt technologies that expand the reach and targeting of their care teams and enable them to forge personal connections with patients. Many provider organizations have been slow to adopt technology for fear of de-personalizing the patient relationship. Yet technological solutions designed for people and their specific, pressing needs can be incredibly effective.

Take Interactive Voice Response calls (IVR), for example. These automated calls can extend the reach of care teams who need to find out from patients how they’re progressing in their recovery. Even better, these calls give patients a chance to check in with caregivers using the most natural, familiar technology there is: the telephone and the human voice. From pre-procedure to post-discharge, here are three ways voice technology can reduce costs while achieving better outcomes:

1. Staying Connected with Patients after Discharge

Discharge is one of the most critical handoffs in healthcare. Traditionally hospitals have employed nurses to make phone calls to recently discharged patients. But what may seem like a simple chat is in fact far more labor intensive. The volume of calls required, and the time needed to connect with patients, establish rapport and elicit critical information has made this an expensive and time-consuming endeavor. IVR calls can reduce the burden on nursing staff while also increasing the level of constructive interaction with patients.

For example, our team worked with a hospital that used two nurses to call as many patients post-discharge as they could. In a one-month period the nurses made 1,932 calls to patients – and of those calls, only 5.2% resulted in a situation that actually required the nurses’ clinical knowledge. The two nurses then started over, this time using IVR. During a same one-month period, the nurses were able to reach out to four times as many patients and connected with 79.8%. The higher rate of connection gave the hospital far more visibility into the actual health status of its discharged patients. It also saved time so nurses could concentrate on personal patient interventions that required their clinical expertise and training.

2. Breaking Down Behavioral Barriers

Voice User Interface (VUI) design is increasingly utilized to foster emotional connections with patients and help them self-manage their conditions. As hospitals and providers look to reduce “white coat syndrome,” and find ways for patients to feel more comfortable sharing information in a non-judgmental setting, human-centered VUI design can bring a unique approach to personalization.

For instance, one of our programs reached out to patients newly diagnosed with diabetes. With focus on empathic VUI design, these patients were asked to report on key indicators such as their weight fluctuation, medications, and access to follow-up care.  Flagging logic then signaled any instance when a patient may need a live nurse or some other intervention. Surprisingly, these automated calls also elicited sensitive information that may have otherwise not been flagged.

Most enrollees said depression had hindered their ability to manage their condition and 83% also said they had not discussed these issues with a healthcare professional. When given the choice, over half of those respondents opted for additional phone calls that were specifically designed to offer emotional support. Even more, the depression scores of nearly three-quarters of patients decreased over the course of their interactions.

3. Reducing Readmissions

As a last example, patients who engage with IVR phone calls are less likely to be readmitted to the hospital.  At one major hospital system, 80% of enrolled patients engaged with calls and they were readmitted less often than those who did not engage. (10.7% 30-day readmission rate vs. 13%.) This result means that voice technology is helping to solve a known and important health quality problem —reducing the rate of  unnecessary readmissions—as well as helping hospitals to avoid Medicare penalties. In addition, the decreased readmissions rate frees up beds for new revenue-generating patient admissions.

And the nurse caregivers are now able to work at the top of their license, increasing their job satisfaction as well as their efficiency. In the end, it’s not just caregiver satisfaction and patient outcomes that improve. Patients also appreciate the follow up from these calls, leading to increased patient satisfaction and HCAHP scores.

Ultimately, scaling patient outreach efforts with interactive voice technology offers a number of benefits for health systems: from more efficient and effective care management to better patient outcomes at less cost. That’s a win-win for providers and patients alike.

SDoH Solutions, Referrals Must Be Integrated Within The Patient Record: Here’s Why

By David Wenger, CEO, Bridge Connector.

David Wenger

At this point, most of us in healthcare have read similar statistics about why we need to do more to address social determinants of health (SDoH) — the conditions in which people are born, grow, live, work and age, and how those factors impact individuals’ health — to improve patient outcomes. These conditions and their resulting social needs include, but are not limited to, a person’s equitable access to nutrition, housing, transportation, education, and employment opportunities.

SDoH contribute to: more than 50% of readmissions, one-third of patient deaths, and up to 80% of our overall health outcomes, as opposed to clinical care.

There’s a reason SDoH have been all the buzz at conferences and in trade publications in recent years. We now understand the prevalence of these social barriers as quite significant: one in five patients could be at high risk with SDoH-related problems, and up to 68% of patients suffer from at least one SDoH.

Time is of the essence to tackle some of these social determinants, especially when coupled with the rapidly shifting patient demographic, sometimes called the “silver tsunami.”

Payer SDoH studies in no short supply

It seems everyone is in a race to figure out what SDoH approach will move the needle toward lower risk for their patient populations. But payers, in particular, have taken on a hefty amount of the leg work needed with social determinant “barriers to care” studies, because they are generally the most financially accountable, from a population health analytics perspective, to remove them.

Recent news about of these payer SDoH pilot programs and research studies have been both interesting and useful across the care continuum, a summary of which include:

Existing workflows provide best locale for SDoH communication

Despite all of the various innovative steps being taken to bring SDoH to the forefront, we know that most patients still aren’t talking about SDoH concerns with their physicians. There are many reasons why, but one logical solution to bolster SDoH communication between physicians and patients is to incorporate, at minimum, the ability to identify social needs where they are already doing business — in these EHR, CRM, and other third-party platforms.

As is evidenced by the silo’d health IT data systems that have for too long crippled the health care industry’s transparency and ROI, we know that simply identifying social barriers to care is not enough. Within the designated “source of truth” that is most responsible for driving patient engagement, whether that is an EHR, CRM, or other platform, we need to build — or integrate — expanded capabilities for SDoH identification, referrals, and tracking each throughout the continuum of care to close the gaps that currently exist.

That is not to say that physicians must now wear yet another hat — that of a social worker or a social services case manager. But being asked to solve SDoH from the current physician’s workflow perspective, without integrating SDoH into the patient record, is basically saying to physicians:

“Improve clinical outcomes. But first, you must identify non-clinical data, be responsible for referrals to improve these individual circumstances, and track each of those referrals’ progress, all in different platforms, and none of which talk to one another.”

This is not setting our patients or their physicians up for success.

The idea of a standardized SDoH screening mechanism within the EHR has been endorsed by the National Academy of Medicine, the Medicare Access and Children’s Health Information Program Reauthorization Act of 2015, the 2016 Centers for Medicare and Medicaid Services’ Quality Strategy, and several other organizations, as released in an Annals of Family Medicine study. But unfortunately, in this first U.S. study of its kind to address feasibility, “little is (currently) known about how to capture and present (SDoH) information in community health centers’ EHRs.” Nor did the study conclude how to integrate EHR-based documentation needs into community health centers’ existing workflows.

The main barriers cited in the Annals’ study were that EHR-based SDoH tools:
(1) Create a too-fragmented view of the patient, with relevant data in too many disparate locations
(2) Might add a layer of difficulty to obtain and act on SDoH data
(3) If SDoH patient information has been acquired on paper, that requires yet another dual, manual data entry problem when “referral workflows were (already) seen as too time-consuming, especially when no follow-up was planned,” resulting in “an unmanageable follow-up workload.”

To date, the EHR has done a good job of serving most of the goals to take our country’s health records digital. But it is also safe to say that the EHR, in and of itself, cannot be all things to all persons working in health care. In addition to the major enterprise EHR systems, there is a proliferation of specialty, industry-specific EHRs, which may or may not have separate CRM platforms, not to mention all of the other third-party, various other platforms you can see within any one given practice, such as separate billing and referral management types of platforms. There is a reason that “interoperability” among all of these disparate health care data systems has become another hot topic for the industry.

To yield maximum value for our customers, integrating SDoH data is best-approached from a workflows perspective — not just connecting disparate data systems for the sake of “more data,” but to make caregivers’ lives easier, and to create actionable data that enable better business decisions. And we already know that one of the easiest ways to improve efficiency for health care organizations is to remove dual, manual entry between EHR, CRM, and other third-party platforms that hold patient data — these are the first and most valid case studies of how to improve organizational efficiency while bolstering patient care.

There has been a flurry of innovative partnerships and technological improvements to address SDoH, all of which should ultimately be supported by policy changes — each of these as prevailing themes at trade shows and conferences in recent years, such as the America’s Health Insurance Plans’ (AHIP) annual conference, held recently in Nashville. Meanwhile, we look forward to participating in more discussions about how those of us in health IT can do our part — bridging SDoH informational and communication gaps between physicians and patients. This could include integrating non-clinical SDoH concerns into the patient’s clinical record, in and out of these platforms, establishing standards for capturing SDoH to make data-sharing easier, and even incorporating social services databases for more streamlined SDoH-specific “referral management.”

We talk a lot about how to achieve interoperability in healthcare, with all of its disparate data systems, and SDoH is another compelling and recent reason why we must accelerate these solutions, which would ultimately benefit health care and all of its stakeholders — patients, physicians, payers, and everyone in between.

Can Surgical Navigation Offer Precision In Tumor Biopsy?

By Payal Rathod, editor, Transparency Market Research.

Payal Rathod

TMR’s study expects neurological navigation systems to emerge as leaders in the realm of surgical navigation systems due to high prevalence of brain tumors. According to the National Brain Tumor Society, approximately 700,000 people in the U.S. are living with brain tumor. This number further incites the need for advanced neurological navigation systems.

Navigating within the precincts of a skull multiplies the risk of damage to the vertebral column. However, advanced neuronavigation devices such as the one developed by Medtronic addresses these concerns. This device, called the StealthStation S8, is a highly efficient system that uses electromagnetic tracking capabilities and 3-D segmentation tools to create tumor models.

Influx of 3-D printing technology in the healthcare sector
Operating on tumor models prepares the doctors to operate the actual tumor. It instills confidence in the surgeons that further amplifies the success rate of the surgery. Furthering the use of 3-D segmentation tools, the researchers have invented advanced 3-D printing technologies that are changing the game for surgical navigation.

Researchers from the Tel Aviv University printed the first 3-D heart using the patient’s biological parts and cells. The end stage heart disease can only be treated with heart transplantation. However, the shortage of heart donors stems the need for advancements in the armamentarium of cardiology.

This research has not only given a new direction to regenerative medicines but heightened the demand for 3-D printing technologies. According to TMR’s study, this trend is expected to turn the tides in the surgical navigation systems industry.

Intra-surgical visualization is imperative while performing a surgery. 3-D printing technology transforms a 3-D medical image into an object of the patient’s actual size. A combination of this model and augmented reality (AR) applications offers the surgeons a real-life operating experience in a virtual environment.

This technology helps the surgeons gain a better understanding of the nature of the surgery. It overcomes the shortcomings of single modality imaging and facilitates accurate intra-surgical visualization. Besides, the combination of cloud computing and 3-D printing technology further explores the possibilities in the realm of surgical navigation. It enables the development of prosthetic limbs and streamlines the 3-D printing process. This explains why the clinicians are keen on deploying the cloud computing technology.

Migration of surgical platforms to cloud computing

Cloud computing, though this technology is still young in the medical industry, it is graduating in the arena of surgical navigation. It facilitates the high computational power required for surgical navigation. Moreover, the advancements in the medical image computing techniques such as the graphics processing unit (GPU) facilitate improved medical image processing performance.

Recently, bioengineers developed a self-navigating medical robot that can navigate in the patient’s heart. Earlier, surgeons used a joystick to monitor tiny robots in the patient’s body. However, this newly developed robot works exactly like an autonomous vehicle. The optical sensor in the robot uses artificial intelligence algorithms that direct its path inside the heart.

Such discoveries have highly motivated the surgical platforms to deploy cloud computing solutions. The fact that it breaks the restrictions of physical location has also inundated its use. A cloud surgical planning application enables multiple surgeons to work on the same case irrespective of where they are located. This enables the surgeons to make accurate incisions, thus facilitating a pain-free treatment for the patients.

The spiraling need for minimally invasive surgeries help the surgical navigation systems gain prominence in the market, states TMR. To sum it all up, surgical navigation gives healthcare professionals the liberty to navigate surgical equipment with tremendous ease. Moreover, the high morbidity because of cancer with nearly 9.6 million people dying in 2018 has necessitated the use of advanced surgical techniques. This has opened the doors for new clinical studies relating to surgical navigation such as molecular imaging and intraoperative microscopy.