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Apple Trials Tech Offering Patient Access To Their Health Records

Posted on January 29, 2018 I Written By

Anne Zieger is veteran healthcare branding and communications expert with more than 25 years of industry experience. and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also worked extensively healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

In recent times, tech giants have been falling over themselves in a race to offer consumers the best access to their health data, including even dark horses like Amazon. And it’s little wonder – it’s become increasingly obvious that he who controls patient health data access controls a critical sector of the entire healthcare industry.

The most recent stake in the ground comes from Apple, whose latest update to its Health app allows customers to see their medical records on their iPhone. The Health Records section of the Health app, which comes with the release of the iOS 11.3 beta, collects FHIR-based records from multiple sources and makes them available through its Health Records section.

The patient data display will pull together patient data from various healthcare organizations into a single view. The data will include lists of allergies, conditions and medications taken, immunizations records, lab results on procedures and vital sign information. When providers published new information, iPhone users will be notified.

To conduct its Health Records beta test, Apple has partnered with a number of high-profile health systems and hospitals, including Johns Hopkins Medicine; Cedars-Sinai; Penn Medicine; Geisinger Health System; UC San Diego Health; UNC Health Care; Rush University Medical Center; Dignity Health; Ochsner Health System; MedStar Health and OhioHealth.

As part of its launch, Apple told the New York Times that unless consumers specifically choose to share it with the company, it will never see the data, which will be encrypted and stored locally on the iPhone.  A recent (if unscientific) poll suggests that consumers trust Apple with their health data more than other top tech vendors, so this reassurance may be enough to ease their fears.

But security is hardly Apple’s biggest concern. How does the tech colossus expect to profit from its health data investments?  When I break the issues down, it looks like this:

  • Unlike hospitals and clinics, which can expect medium- to long-term ROI when patients manage their health better, Apple doesn’t deliver care.
  • Apple might want to sell anonymized aggregated patient data, but as far as I know, the company would still have to get patient permission, and that would be an administrative and legal nightmare.
  • If Apple or its competitors have some vision of selling access to the patient, good luck with that. Providers have a hard time attracting and keeping patients with nifty technology even if those patients live in their backyard.

While I could be missing something major, from what I see, Apple, Google, Samsung, Amazon and the rest are engaging in a series of preemptive patient data land grabs. My sense is that none of them know exactly what to do with this data, they’ll be damned if they’re going to let their competitors get there first.

That said, many in the industry are suggesting that this move is just another effort by Apple to sell more iPhones. The question I ask is how valuable will the information be to the patients? Certainly the beta hospitals and health systems are large and have a lot of data, but how is this going to scale down to the smaller providers? If you don’t have these smaller providers, then you’re going to be missing some of the most important health data.

Deep Learning System Triages Terminally Ill Hospital Patients

Posted on January 26, 2018 I Written By

Anne Zieger is veteran healthcare branding and communications expert with more than 25 years of industry experience. and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also worked extensively healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

Researchers at Stanford have developed a new tool designed to coordinate end-of-life care for critically ill patients. While the pilot study has generated screaming newspaper headlines (“AI tool predicts when people will die!”) researchers say that the system is best thought of as a triage option which helps hospitals and hospices provide timely palliative care to those who need it. It can also help terminally ill patients — most of whom would prefer to die at home — make plans for their passing and avoid dying in their hospital bed.

According to an article in tech publication Gizmodo, the Stanford set-up combines EHR data with other sources of information such disease type, disease state and severity of admission. The information is then processed by a form of AI known as deep learning, in which a neural network “learns” by digesting large amounts of data.

To conduct the study, researchers fed 2 million records from adult and child patients admitted to either Stanford Hospital or Lucile Packard Children’s Hospital. The system then identified 200,000 patients who met the study’s criteria. In addition to clinical criteria, the system also reviewed associated case reports diagnoses, number of scans ordered, number of procedures performed and other data.

After reviewing 160,000 case reports, the deep learning system was instructed to predict the mortality of a given patient within three to 12 months of a particular date using EHR data from the previous year. The algorithm included a requirement to ignore patients who appeared to have less than three months to live, as this window was too short for providers to make preparations to offer palliative care.

Then, the AI algorithm calculated the odds of patient death in the 3 to 12-month timespan extending from the original date. Its predictions turned out to be quite accurate. For one thing, it predicted patient mortality within the 3 to 12-month window accurately in nine out of 10 cases, a performance that few clinicians could match. Meanwhile, roughly 95% of patients considered to have a low probability of dying within 12 months actually lived beyond that point.

It’s worth noting that while the deep learning tool made fairly accurate predictions of patient mortality, the system doesn’t let healthcare providers know what treatment patients need or even how it makes its predictions. Luckily, researchers say, the system allows them to get a look at individual cases to better understand its deductions.

For example, in one case the system predicted accurately that a patient with bladder and prostate cancer would die within a few months. While there were many clues that he was near death, the system weighted the fact the scans were made of his spine and a catheter used in his spinal cord heavily in its calculations. Only later did the researchers realize that an MRI of the spinal cord most likely suggested a deadly cancer of the spinal cord which was likely to metastasize.

It’s worth remembering these results were produced as part of a pilot project, and that the predictions the system makes might not be as accurate for other data sets. However, these results are an intriguing reminder of the possibilities AI offers for hospitals.

An EHR Vendor’s Efforts to Address Physician Burnout with Corinne Proctor Boudreau from MEDITECH

Posted on January 24, 2018 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

Physician burnout is a major problem in healthcare. While there are a lot of things that are contributing to physician burnout, many like to point to the EHR as a major reason why so many physicians are getting burnt out. So, while the EHR can’t completely solve physician burnout, a well designed EHR can help to alleviate some of the stress a physician experiences.

With this idea in mind, we jumped at the chance to sit down with Corinne Proctor Boudreau, Senior Manager, Physician Experience at MEDITECH, to learn about what MEDITECH is hearing from their customers about physician burnout and what they’ve been doing and plan to do to alleviate this challenging problem.

Check out our full physician burnout interview with Corinne Proctor Boudreau embedded below or on YouTube.

You can find all of Healthcare Scene’s interviews on the Healthcare Scene YouTube channel. Also, at the start of the video, I mentioned our new conference, Health IT Expo happening at the end of May in New Orleans. We hope you’ll all be able to join us in New Orleans to learn about practical innovations that can benefit your organization.

Texas Hospital Association Dashboard Offers Risk, Cost Data

Posted on January 22, 2018 I Written By

Anne Zieger is veteran healthcare branding and communications expert with more than 25 years of industry experience. and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also worked extensively healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

The Texas Hospital Association has agreed to a joint venture with health IT vendor IllumiCare to roll out a new tool for physicians. The new dashboard offers an unusual but powerful mix of risk data and real-time cost information.

According to THA, physician orders represent 87% of hospital expenses, but most know little about the cost of items they order. The new dashboard, Smart Ribbon, gives doctors information on treatment costs and risk of patient harm at the point of care. THA’s assumption is that the data will cause them to order fewer and less costly tests and meds, the group says.

To my mind, the tool sounds neat. IllumiCare’s Smart Ribbon technology doesn’t need to be integrated with the hospital’s EMR. Instead, it works with existing HL-7 feeds and piggybacks onto existing user authorization schemes. In other words, it eliminates the need for creating costly interfaces to EMR data. The dashboard includes patient identification, a timer if the patient is on observational status, a tool for looking up costs and tabs providing wholesale costs for meds, labs and radiology. It also estimates iatrogenic risks resulting from physician decisions.

Unlike some clinical tools I’ve seen, Smart Ribbon doesn’t generate alerts or alarms, which makes it a different beast than many other clinical decision support tools. That doesn’t mean tools that do generate alerts are bad, but that feature does set it apart from others.

We’ve covered many other tools designed to support physicians, and as you’d probably guess, those technologies come in all sizes. For example, last year contributor Andy Oram wrote about a different type of dashboard, PeraHealth, a surveillance system targeting at-risk patients in hospitals.

PeraHealth identifies at-risk patients through analytics and displays them on a dashboard that doctors and nurses can pull up, including trends over several shifts. Its analytical processes pull in nursing assessments in addition to vital signs and other standard data sets. This approach sounds promising.

Ultimately, though, dashboard vendors are still figuring out what physicians need, and it’s hard to tell whether their market will stay alive. In fact, according to one take from Kalorama Information, this year technologies like dashboarding, blockchain and even advanced big data analytics will be integrated into EMRs.

As for me, I think Kalorama’s prediction is too aggressive. While I agree that many freestanding tools will be integrated into the EMR, I don’t think it will happen this or even next year. In the meantime, there’s certainly a place for creating dashboards that accommodate physician workflow and aren’t too intrusive. For the time being, they aren’t going away.

BioUtah Life Sciences and Health Data Innovation

Posted on January 17, 2018 I Written By

Healthcare as a Human Right. Physician Suicide Loss Survivor. Janae writes about Artificial Intelligence, Virtual Reality, Data Analytics, Engagement and Investing in Healthcare. twitter: @coherencemed

Bio Utah is leading collaboration for Life Sciences in Utah that has shown great leadership both in connecting Utah companies with business interests in healthcare and improving life science research and education for schools. This includes a scholarship program for students that partners with local public and private schools including high schools and universities. Working together to improve the Utah economy was highlighted in their last one day event November 2, 2017 at the Grand America and I was honored to attend and hear from leaders in government, education and industry share their successes. Rob Etherington, CEO of Clene Nanomedicine, spoke about the success of BioUtah as fostering a shared culture of innovation.

One of the most innovative sessions I attended was the “Speed Dating of Health IT” pitching. Angel investors and representatives from banks and funds local to Utah sat at tables to meet a rotating cast of entrepreneurs, who shared their respective companies’ visions for real time feedback. I followed a group of three investors through a few rounds. One of the companies participating in the roundtable, Veristride, has a technology that is able to gather biomechanical data about walking, with the goal of ameliorating rehabilitation processes after injury or surgery, or for chronic condition management. This information can help reduce hospital readmission and inform better recovery planning.

In the current fitness-tracker obsessed market, Veristride’s background in physical therapy has facilitated the creation of a product that stands out in the market by recognizing one important truth: not all steps are equal. For instance, my able-bodied neighbor gets an insurance discount for having a certain number of steps each day, and has an insurance issued Fitbit. Every day during soccer practice, her 9-year-old son wears her Fitbit for her. She has never been at risk of not meeting her step goal. Veristride endeavors to close loopholes like these by finding better data about movement work. Their product may be one of the most unique offerings I’ve seen in a world of limitless tracking devices that universally seem to lack quality in their measuring tools. It is refreshing to see a company focused on gathering data about how patients move, rather than just tracking it.

I spoke to the Veristride CEO, Stacey Bamberg, about her efforts and about the Utah Biological Sciences ecosystem. She mentioned that it is great to have introductions to investors. Streamlining the process from  introductions to writing checks is the work of investment groups and support; the work of the companies begins after these round-table meetings. Scaling a company from early stage to market acceptance can be a laborious process.

Practice Practice Practice. Companies should practice introducing their offering and seek feedback from investors and customers at every opportunity. I loved the idea of matchmaking to quickly answer investors’ questions about a company’s size, structure, and most importantly, its unique product. Utah investors want to invest in innovative products that will improve the health of people in Utah, and this speed-dating approach yields an efficient way for investors and developers to connect. Innovative meetings and networking groups can help improve healthcare IT and all areas of life sciences at an accelerated pace.

Investors meet with entrepreneurs in a Speed Dating activity sponsored by USTAR at the BioUtah event

BioUtah is organizing more events designed to promote Utah Innovation. On March 1-3, 2018, BioUtah will hold another investor conference to connect entrepreneurs with Utah Investors, furthering their mission to build Utah’s Life Sciences ecosystem. You can register for the Investor Summit HERE.

The Importance of Good People Doing Good – Martin Luther King Day

Posted on January 15, 2018 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

Today in the US, we’re celebrating the Martin Luther King Jr. holiday. To celebrate the holiday, I thought it would be great to share some of Martin Luther King Jr.’s quotes. Many of the messages are relevant to the healthcare and illustrate what makes those working in healthcare so special.

PointClickCare Tackling Readmissions from Long-Term and Post-Acute Care Facilities Head-On

Posted on January 12, 2018 I Written By

Colin Hung is the co-founder of the #hcldr (healthcare leadership) tweetchat one of the most popular and active healthcare social media communities on Twitter. Colin speaks, tweets and blogs regularly about healthcare, technology, marketing and leadership. He is currently an independent marketing consultant working with leading healthIT companies. Colin is a member of #TheWalkingGallery. His Twitter handle is: @Colin_Hung.

Transitioning from an acute care to a long-term/post-acute care (LTPAC) facility can be dangerous.

According to one study, nearly 23% of patients discharged from a hospital to a LTPAC facility had at least 1 readmission. Research indicates that the leading cause of readmission is harm caused by medication (called an adverse drug event). Studies have shown that as much as 56% of all medication errors happen at a transitional point of care.

By the year 2050 more than 27 million Americans will be using LTPAC services. The majority of these LTPAC patients will transition from an acute care facility at least once each year. With this many transitions, the number of medication errors each year would balloon into the millions. The impact on patients and on the healthcare system itself would be astronomical.

Thankfully there is a solution: medication reconciliation

The Agency for Healthcare Research and Quality (AHRQ) states: “Patients frequently receive new medications or have medications changed during hospitalizations. Lack of medication reconciliation results in the potential for inadvertent medication discrepancies and adverse drug events—particularly for patients with low health literacy, or those prescribed high-risk medications or complex medication regimens.”

Medication reconciliation is a process where an accurate list of medications a patient is taking is maintained at all times. That list is compared to admission, transfer and/or discharge orders at all transitional points both within a facility and between facilities. By seeing orders vs existing medications, clinicians and caregivers are able to prevent drug-interactions and complications due to omissions or dosage discrepancies.

What is surprising is the lack of progress in this area.

We have been talking about interoperability for years in HealthIT. Hundreds of vendors make announcements at the annual HIMSS conference about their ability to share data. Significant investments have been made in Health Information Exchanges (HIEs). Yet despite all of this, there has been relatively little progress made or coverage given to this problem of data exchange between hospitals and LTPAC facilities.

One company in the LTPAC space is working to change that. PointClickCare, one of the largest EHR providers to skilled nursing facilities, home care providers and senior living centers in North America, is dedicating resources and energy to overcoming the challenge of data sharing – specifically for medication reconciliation.

“We are tackling the interoperability problem head-on,” says Dave Wessinger, co-founder and Chief Operating Officer at PointClickCare. “The way we see it, there is absolutely no reason why it can take up to three days for an updated list of medications to arrive at our customer’s facility from a hospital. In that time patients are unnecessarily exposed to potential harm. That’s unacceptable and we are working with our customers and partners to address it.”

Over the past 12 months, the PointClickCare team has made significant progress integrating their platform with other players in the healthcare ecosystem – hospitals, pharmacies, HIEs, ACOs, physician practices and labs. According to Wessinger, PointClickCare is now at a point where they have “FHIR-ready” APIs and web-services.

“We believe that medication reconciliation is the key to getting everyone in the ecosystem to unlock their data,” continues Wessinger. “There is such a tremendous opportunity for all of us in the healthcare vendor community to work together to solve one of the biggest causes of hospital readmissions.”

Amie Downs, Senior Director ISTS Info & App Services at Good Samaritan Society, an organization that operates 165 skilled nursing facilities in 24 states and a PointClickCare customer, agrees strongly with Wessinger: “We have the opportunity to make medication reconciliation our first big interoperability win as an industry. We need a use-case that shows benefit. I can’t think of a better one than reducing harm to patients while simultaneously preventing costly readmissions. I think this can be the first domino so to speak.”

Having the technology infrastructure in place is just part of the challenge. Getting organizations to agree to share data is a significant hurdle and once you get organizations to sit down with each other, the challenge is resisting the temptation just to dump data to each other. Downs summed it up this way:

“What is really needed is for local acute care facilities to partner with local long-term and post-acute care facilities. We need to sit down together and pick the data that we each want/need to provide the best care for patients. We need to stop just sending everything to each other through a direct connection, on some sort of encrypted media that travels with the patient, via fax or physically printed on a piece of paper and then expecting the other party to sort it out.”

Downs goes on to explain how narrowing the scope of data exchange is beneficial: “I definitely see a strong future for CCDA data exchange to help in medication reconciliation. Right now medication information is just appended to the file we receive from acute care facilities. We need to agree on what medication information we really need. Right now, we get the entire medication history of the patient. What we really need is just the active medications that the patient is on.”

In addition to working on FHIR and APIs, BJ Boyle, Director of Product Management at PointClickCare, is also leading a data sharing initiative for those instances when there is no fellow EHR platform to connect to. “We are working towards something that is best described as a ‘Post-Acute Care Cloud’ or ‘PAC Cloud’,” explains Boyle. “We’re designing it so that hospital case managers can go to a single place and get all the information they need from the various SNFs they refer patients to. Today, when HL7 integration isn’t possible, case managers have to be given authorized access to the SNF’s system. That’s not ideal.”

PointClickCare has already taken an initial step towards this vision with an offering called eINTERACT. According to the company’s website eINTERACT allows for the “early identification of changes in condition…and the sooner a change in condition is identified, the quicker interventions can be implemented to prevent decline and avoid potential transfers” which is key to managing patient/resident health.

It’s worth noting that John Lynn blogged about LTPAC readmissions in 2014. Unfortunately at the macro/industry level, not much has changed. Dealing with readmissions from LTPAC facilities is not particularly exciting. Much of the attention remains with consumer-monitoring devices, apps and gadgets around the home.

Having said that, I do find it encouraging to see real progress being made by companies like PointClickCare and Good Samaritan Society. I hope to find more examples of practical interoperability that impacts patient care while touring the HIMSS18 exhibit floor in early March. In the meantime, I will be keeping my eye on PointClickCare and the LTPAC space to see how these interoperability initiatives progress.

Roche, GE Project Brings New Spin To Clinical Decision Support

Posted on January 10, 2018 I Written By

Anne Zieger is veteran healthcare branding and communications expert with more than 25 years of industry experience. and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also worked extensively healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

The clinical decision support market is certainly crowded, and what’s more, CDS solutions vary in some important ways. On the other hand, one could be forgiven for feeling like they all look the same. Sorting out these technologies is not a job for the faint of heart.

That being said, it’s possible that the following partnership might offer something distinctive. Pharmaceutical giant Roche has signed a long-term partnership deal with GE Healthcare to jointly develop and market clinical decision support technology.

In a prepared statement, the two companies said they were developing a digital platform with a difference. The platform will use analytics to fuel workflow tools and apps and support clinical decisions. The platform will integrate a wide range of data, including patient records, medical best practices and recent research outcomes.

At least at the outset of their project, Roche and GE Healthcare are targeting oncology and critical care. With a pharmaceutical company and healthcare technology firm working together, providing tools for oncology specialists in particular makes a lot of sense.

The partners say that their product will give oncology care teams with multiple specialists a common data dashboard to review, which should help them collaborate on treatment decisions. Meanwhile, they plan to offer critical care physicians a dashboard integrating data from patient’ hospital monitoring equipment with their biomarker, genomic and sequencing data.

The idea of integrating new and possibly relevant information to the CDS platform is intriguing. It’s particularly interesting to imagine physicians leveraging genetic information to make real-time decisions. I think it’s safe to say that we’d all like it if CDS systems could bring the rudiments of precision medicine to thorny day-to-day clinical problems.

But the truth is, if my interactions with doctors mean anything, that few of them like CDS systems. Some have told me flat out that they end up overriding many CDS prompts, which arguably makes these very expensive systems almost irrelevant to hospital-based clinical practice. It’s hard to tell whether they would be willing to trust a new approach.

However, if GE and Roche can pull off what they’re pitching, it might just provide enough value it might convince them. Certainly, creating a more flexible dashboard which integrates data and office workflows is a large step in the right direction. And it’s probably fair to say that nothing like this exists in the market right now (as they claim).

Again, while there’s no guaranteed way to build out useful technology, bringing a pharma giant and a health IT giant might give both sides a leg up. I wonder how many users and patients they have involved in their design process. Let’s see if they can back up their promises.

Using Geography to Combat the Opioid Crisis

Posted on I Written By

Colin Hung is the co-founder of the #hcldr (healthcare leadership) tweetchat one of the most popular and active healthcare social media communities on Twitter. Colin speaks, tweets and blogs regularly about healthcare, technology, marketing and leadership. He is currently an independent marketing consultant working with leading healthIT companies. Colin is a member of #TheWalkingGallery. His Twitter handle is: @Colin_Hung.

When it comes to the opioid crisis, the numbers aren’t good. According to the latest CDC numbers, over 66,000 Americans died from drug overdoses between May 2016 and May 2017. Unfortunately this continues the rapid upward trend over the past five years.

Credit: New York Times, The First Count of Fentanyl Deaths in 2016: Up 540% in Three Years, 2 Sept 2017, https://www.nytimes.com/interactive/2017/09/02/upshot/fentanyl-drug-overdose-deaths.html

One of the biggest drivers for this increase is the prevalence of opioids – a class of drugs that includes pain medications, heroin and fentanyl (a synthetic opioid). The opioid crisis is not the stereotypical street-drug problem. It is not confined to inner cities or to any socio-economic boundaries. It affects all neighborhoods…and therein lies one of the greatest challenges of dealing with the crisis, knowing where to deploy precious resources.

As governments and public health authorities begin to take more aggressive action, some are wisely turning to geographic information systems (GIS) in order to determine where the need is greatest. GIS (also called geospatial mapping) are designed specifically to capture, store, manage and analyze geographical data. It has been a mainstay in mining, engineering and environmental sciences since the early 1990’s. For more information about GIS, please see this excellent PBS documentary. In recent years, GIS has been applied to a number of new areas including healthcare.

Esri is one of the companies doing pioneering GIS work in healthcare and recently they have focused on applying their ArcGIS technology to help tackle the opioid crisis. “One of the basic challenges that public health authorities face is clearly defining the scope of the opioid problem in their local area.” says Estella Geraghty MD, Chief Medical Officer & Health Solutions Director at Esri. “The good news is that the information to map the extent of the problem is available, it’s just stored in disparate systems and in incompatible formats. We help bring it all together.”

Geraghty points to their work with the Tri-County Health Department (TCHD) as an example of how effective GIS can be. TCHD is one of the largest public health agencies in the US, serving 1.5 million residents in three of Denver’s metropolitan counties: Adams, Arapahoe and Douglas. Using Esri’s ArcGIS solution, TCHD created an open data site that allows internal teams and external partners to pool and share their opioid health information using a visual map of the region as a common base of reference.

According to Esri: “Since the creation of the Open Data site, there has been a dramatic increase in both the information available to the public and the community’s understanding of the opioid crisis.” You can see the Open Data site here and if you scroll down you will see six different maps available to the public. Particularly sobering is the Opioid Overdose Deaths from 2011-2016, which allows you to zoom in down to specific streets/blocks. Another interesting map is the Household Medication Take-Back Locations which seems to indicate there is a lack of coverage for the city of Denver.

Esri itself has created its own site to bring attention to the opioid crisis at a national level. Two maps in particular stand out to me. The first is the map of Opioid Prescriptions per Provider. The red zones on that map represent areas where a high number of opioid prescriptions are being made by relatively few providers. This points to potential areas where opioid abuse may be occurring.

By mapping the data in this way, some interesting insights emerge. Take Taliaferro County in Georgia for example where 2,069 claims out of a total of 29,016 were for opioids, yet the county only has 2 providers. Or Clinch County in Georgia where a whopping 10% of all claims were for opioids.

The second interesting map is Lost Loved Ones (located at the bottom of the Esri site). This is a completely open map where anyone can pay tribute to a loved one who has been lost to the opioid crisis. Each dot is a person – a stark reminder that behind each statistic is a son, daughter, mother, or father who has died from opioids. Anyone can add to the map by clicking the button at the top of the map.

There is something to be said about seeing data overlaid onto an interactive map. It takes data from abstract lines, bars or numbers on a page and transforms it into something more tangible, more “real”. I suspect that for many on the front lines of this crisis, having the opioid data visualized in this manner helps to drive home the need for additional resources.

“Esri is helping public health officials all over the country make better decisions,” continued Geraghty. “We are helping them determine if they have enough coverage for places where people can drop off expired drugs, places where Naloxone is available and mental health program coverage. We can visually present the types of drugs being dropped off by region. We can track where first responders have had to use Naloxone. We plan on continuing to collaborate closely with customers, especially with public health authorities. This opioid crisis is impacting so many neighborhoods. We can make a difference.”

Given the continued upward trend in opioid-related deaths, healthcare can use all the difference makers it can get.

Hospital Mobile Strategy Still In Flux

Posted on January 8, 2018 I Written By

Anne Zieger is veteran healthcare branding and communications expert with more than 25 years of industry experience. and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also worked extensively healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

The following is a look at how hospitals’ use of communication devices has changed since 2011, and what the patterns are now.  You might be surprised to read some of these data points since in some cases they defy conventional wisdom.

The researchers behind the study, communications tech provider Spok, Inc. surveyed about 300 healthcare professionals this year, and have tracked such issues since 2011. The report captures data on the major transitions in hospital mobile communications that have taken place since then.

For example, the report noted that in 2011, 84% of staffers received job-related alerts on pagers. Sixty-two percent are using wireless in-house phones, 61% desk phones, 77% email on their computers, 44% cell phones and 5% other devices.

Since then, mobile device usage in hospitals has changed significantly. For example, 77% of respondents said that their hospital supports smartphone use. The popularity of some devices has come and gone over time, including tablets and Wi-Fi phones (which are nonetheless used by 63% of facilities).

Perhaps the reason this popularity has risen and fallen is that hospitals are still finding it tricky to support mobile devices. The issues include supporting needed infrastructure for Wi-Fi coverage (45%), managing cellular coverage infrastructure (30%), maintaining data security (31%) and offering IT support for users (about 30%). Only 11% of respondents said they were not facing any of these concerns at present.

When the researchers asked the survey panel which channels were best for sharing clinical information in a hospital, not all cited contemporary mobile devices. Yes, smartphones did get the highest reliability rating, at 3.66 out of five points, but pagers, including encrypted pagers, were in second place with a rating of 3.20. Overhead announcements came in third at 2.91 and EHR apps at 2.39.

The data on hospitals and BYOD policies seemed counterintuitive as well. According to Spok, 88% of facilities supported some form of BYOD in 2014, or in other words, roughly 9 out of 10.  That percentage has fallen drastically, however, BYOD support hitting 59% this year.

Not surprisingly, clinicians are getting the most leeway when it comes to using their own devices on campus. In 2017, 90% of respondents said they allowed their clinicians to bring their own devices with them. Another 69% supported BYOD for administrators, 57% for nurses and 56% for IT staffers. Clearly, hospital leaders aren’t thrilled about supporting mobility unless it keeps clinical staff aligned with the facility.

To control this cacophony of devices, 30% said they were using enterprise mobility management solutions, 40% said they were evaluating such solutions and 30% said they had no plans to do so. Apparently, despite some changes in the devices being used, hospitals still aren’t sure who should have mobile tools, how to support them and what infrastructure they need to keep those devices lit up and useful.