The digital health space refers to the integration of technology and health care services to improve the overall quality of health care delivery. It encompasses a wide range of innovative and emerging technologies such as wearables, telehealth, artificial intelligence, mobile health, and electronic health records (EHRs). The digital health space offers numerous benefits such as improved patient outcomes, increased access to health care, reduced costs, and improved communication and collaboration between patients and health care providers. For example, patients can now monitor their vital signs such as blood pressure and glucose levels from home using wearable devices and share the data with their doctors in real-time. Telehealth technology allows patients to consult with their health care providers remotely without having to travel to the hospital, making health care more accessible, particularly in remote or rural areas. Artificial intelligence can be used to analyze vast amounts of patient data to identify patterns, predict outcomes, and provide personalized treatment recommendations. Overall, the digital health space is rapidly evolving, and the integration of technology in health

Wednesday, March 8, 2017

Hey, Machine Learning

Re-purposed from The Health Care Blog by LEONARD D’AVOLIO



I heard what Forbes said about your “setback” at MD Anderson.  I also heard rumors going around HIMSS that maybe it’s “too soon” for you to be in healthcare. At first I thought, “serves you right.” There was so much hype that I could barely recognize you.
Then I realized that, in a way, we’re all to blame. The journalists, vendors, researchers, and data scientists – all of us that tried to make you popular in healthcare. I guess things just sort of got out of hand.
You have to believe me when I say we meant well. We wanted people to see how special you really are. And the whole “30+ years of clinical research and thousands of published studies” wasn’t working. Apparently, evidence is only cool with your research buddies.


So you got a makeover. The cool kids in marketing gave you new nicknames. People started rumors about all these crazy things you were up to. Suddenly, after years of being invisible Machine Learning was the talk of the town. Did you hear, Machine Learning is now going by Artificial Intelligence!  Artificial Intelligence will cure cancer! I heard Big Data will replace doctors! Do you mean Machine Learning?  I don’t know but I heard Cognitive Computing just created the latest fashion craze!

There have also been other names assigned to you,  Semantic computing, Algorithms.

But that doesn’t change who you are and what you’re capable of. Yes, Queries and Dashboards are more popular. But you don’t get caught up constantly dwelling on the past like they do. And sure, Traditional Statistics have prestige. But we both know they can be a bit myopic at times. And Risk Scores…don’t even get me started on Risk Scores.
You are different.  And that’s a good thing.
I personally have seen you consider millions of different data points – even free text notes – to spot falls in hospitals, prevent admissions of elderly patients, and route people with serious mental illness to appropriate care sooner. You don’t need to be a doctor. Because you can make doctors better at doctoring.

So, WATSON what's in a name ? The truth is Watson is only a marketing term.  There is no Watson in a bunker air conditioned space, hardened to withstand any drug resistant germ, mutant virus (biological, that is.)

It’s time to lose the know-it-all, lone wolf facade. Admitting you need the help of your friends Design, Process, and Common Sense isn’t a bad thing. Telling people that you’re really math + computation won’t help you win “Most Popular” this year.  But wait till they see what you pull up in at the reunion. 

It's going to be okay...Just change your name, rebrand, and few will know the difference.  The truth is MD Anderson was too smart for your ways.



Repent !


Merck aims to put Amazon's Alexa to work on voice-enabled diabetes tools

Alexa? Help pharma find patient solutions.



That’s what Merck & Co. is aiming for in its new partnership with Amazon Web Services to develop digital voice-enabled solutions for people living with chronic diseases.
Using Amazon Lex, the brains behind the Amazon Echo device and its well-known voice-enabled assistant Alexa, Merck plans to initially work on diabetes. Its first initiative will be a call to entrepreneurs, techies and industry types for an innovation challenge expected to begin within the next month.
The yet-to-be-named challenge will be run by strategy and innovation consultancy Luminary Labs. While specifics haven’t been released, the call to action will “be open to solutions broadly enough that innovators of all stripes can come up with really novel ideas but being narrow enough to provide guidance and carefully evaluate submissions,” said Sara Holoubek, founder and CEO of Luminary Labs.

An independent jury will evaluate the submissions based on their use of voice-enabled technology that addresses Type 2 diabetes patient issues.

This already ubiquitous home iOT will feature new skills, diabetes being just one. The potential for this is immeasurable.   Alexa, enable health skills !  may bring you to a new 'Alexapedia'.



Merck is working with Amazon Web Services (AWS) to explore the creation and delivery of innovative digital consumer solutions for people living with chronic disease by using Amazon Lex, the same deep learning technologies that power Amazon Alexa. Merck will initially focus on diabetes, a chronic, progressive disease that currently affects 415 million people around the world.
“Merck has a deep heritage of tackling chronic diseases through our medicines, and we have been expanding into other ways to help, beyond the pill.” said Kimberly Park, vice president, Customer Strategy & Innovation, Global Human Health, Merck. “We are excited to leverage the AWS Cloud to find innovative ways to leverage digital solutions, such as voice-activated technology, to help support better outcomes that could make a difference in the lives of those suffering from chronic conditions like diabetes.”
“We are pleased to work with Merck to explore how Merck can use the AWS Cloud to help create new solutions within health care that can connect people with information to help improve management of their own health” said Steve Halliwell, director of health care and life sciences, AWS.
This collaboration will leverage the expertise of both organizations — Merck’s expertise in epidemiology, drug development, observational research, medication adherence and patient education programs, and Amazon’s expertise in web services, connected devices and voice interfaces.
- See more at: http://www.merck.com/about/featured-stories/merck-amazon.html#sthash.jhSODHfG.dpuf

National Women's Week

We interrupt our usual stream of health news to honor the uncounted women who have made advances in the sciences and the arts and raising the next generation.  Thanks is not enough.

Many women have had their contributions stolen, plagiarized and others have claimed their discoveries as their own.

The video tells the story of some of these women.

Neglected Great Women and their discoveries











A partial collection from Facebook.


Tuesday, March 7, 2017

The Practice Impact of Electronic Health Record System Implementation Within a Large Multispecialty Ophthalmic Practice




Many physicians tell anecdotal stories how implementing EHR impacts revenues and markedly decreases efficiency in day to day clinical operations.  Few standardized studies have been published however.

This original publication from JAMA discusses the impact of an EHR implementation at the Cole Eye Institute.  Some of the findings are in stark contrast to anecdotal stories.  There are several caveats. 1. Cole Eye Institute is a large single specialty Ophthalmology practice.  2.  They have a considerable depth in IT managment.  EHR for ophthalmology has many specific imaging requirements which necessitate interoperability with diagnostic equipment.


The study was published in 2015 in JAMA

Importance  Given the lack of previous reports examining the impact of electronic health record (EHR) system migration in ophthalmology, a study evaluating the practice and economic effect of implementing an EHR into an ophthalmic practice is warranted.
Objective  To examine the clinical and economic impact of EHR system implementation into a large multispecialty ophthalmic practice.
Special factors:
The customization process began July 1, 2011, and was completed March 31, 2012. During this time, 7 full-time employees worked exclusively on adding content and features within the system.  (few practices can afford or implement this activity)  No EHR has the ability to 'plug and play' off the shelf.  All require some customization and hands on training of staff.  This time is not reflected in the overall outcome of time and revenue effect.
The pre-EHR period (defined as April 4, 2011, to March 30, 2012) and post-EHR period (defined as April 2, 2012, to April 5, 2013) were compared. The primary end points evaluated were total revenue, total visit volume, revenue per visit, and the frequency of diagnostic tests and procedures performed with year-to-date comparisons. In addition, costs of the implementation and reimbursement from meaningful use reporting for the EHR implementation were included in the evaluation.
Meaningful Use
The Health Information and Technology for Economic and Clinical Health Act  HITECH . (http://www.cbo.gov/publication/20452) allows hospitals and physicians an opportunity to receive authorized incentive payments through Medicare and Medicaid, provided they adopt EHR in a way that improves care delivery, also known as the meaningful use of EHR. These incentives are tied to the achievements in patient care with EHR adoption.10
Implementation Costs
The budget for EHR implementation during the project period was made up of capital purchases and personnel-based costs. Capital costs included an image management system, legacy medical device upgrades, and license fees for the EHR system. The actual amount spent was $424 880 in 2011 and $1 146 984 in 2012 for a total of $1 571 864 (eTable 2 in the Supplement). The total personnel and ongoing costs of the EHR system in 2011 were $1 160 694, and the total operating costs were $1 514 334 (eTable 3 in the Supplement). These costs consisted of full-time employee salaries plus fringe benefits.
There was a net loss of approximately $ 400,000.  
The EHR incentive payments (stage 1 and stage 2) toward eligible physicians with implementation of EHR are presented in eTable 1 in the Supplement. Estimation of payments based on the total number of clinicians and participation was performed for future years. In 2011, there were 1 participating physician and 24 nonparticipating physicians, which yielded a reported total of $18 000 of stage 1 EHR incentive payment. From 2012 to 2016, it is projected that there will be continuous participation of 23 of the 25 physicians within the Cole Eye Institute, who will receive a combination of stage 1 and 2 meaningful use incentives. The practice forecasts receiving $983 103 of meaningful use incentives by 2016.  This meant there is a 5 year period of negative cash flow to purchase and maintain the new electronic health record.  Despite the HITECH incentive program, the practice was required to subsidize the EHR for several years.  The forecast for increase incentive was not documented since the JAMA article appeared in 2015, and the study period was only for 2011. Given the vicissitude of CMS calculations and the likely possibility that not all MDs satisfied the eligibiity requirements for full incentiviation.
During and before the implementation there were significant changes in coding with more emphasis on E/M coding from Ophthalmology CPT codes. In additioin several new diagnostic tests became preferred practice patterns adding to the quantity of billing.
More charges may have been captured after EHR was implemented in transitioning from paper records.  The providers also may have taken more care in billing due to anecdotal stories about revenue reductions.
Some bias is present due to the limited reporting period for two weeks of training. In my experience the learning curve is much longer, sometimes taking up to six months.
Buried somewhere and missing in standard deviations and tables is the angst of the process and the additional late night completion of the EHR record.
No mention of figures were detailed as to any improvement in quality of care or improvement in surgical/medical outcomes.
Not withstanding that criticism of the report, it is a good beginning, however readers should not necessarily expect the same results.
A later study may provide evidence of the accuracy of the projection for the Cole Eye Institute.

My thanks to the Cole Eye Institute for releasing proprietary information to benefit all physicians, and thanks to JAMA for publishing these important facts.