Author Archives: davidleescher

About davidleescher

David Lee Scher, MD is Founder and Director at DLS HEALTHCARE CONSULTING, LLC, which specializes in advising digital health technology companies, their partners, investors, and clients. As a cardiac electrophysiologist and pioneer adopter of remote patient monitoring, he understood early on the challenges that the culture and landscape of healthcare present to the development and adoption of digital technologies. He is a well-respected thought leader in mobile and other digital health technologies. Scher lectures worldwide on relevant industry topics including the role of tech in Pharma, patient advocacy, standards for development and adoption, and impact on patients and healthcare systems from clinical, risk management, operational and marketing standpoints. He is a Clinical Associate Professor of Medicine at Penn State College of Medicine.

Five Public Health Needs for Digital Health Technology


  Digital health technology has seen an incredible growth in the last few years, fueled by a combination of consumerization of wearable technologies,  ubiquity of mobile devices, proliferation of technology incubators, attention by government health and regulatory agencies and involvement … Continue reading

Posted in #digitalhealth, digital health, digital health technology, education, FDA, fitness, healthcare economics, healthcare reform, medical apps, medical devices, mHealth, mobile health, patient advocacy, patient engagement, pharma, remote patient monitoring, technology, telehealth, wireless health | Tagged , , , , , , , , , , , | Leave a comment

Five Ways a Good Digital Health Registry Addresses Healthcare System Needs


Registries have traditionally been viewed as static repositories of data to be reviewed in a summary fashion after a predetermined time period.  The expanding need for drilled down relevant data has led to the development of creative sophisticated data analytics … Continue reading

Posted in #digitalhealth, analytics, clinical trials, digital health, digital health technology, EHR, FDA, healthcare economics, Healthcare IT, healthcare reform, healthcare vendors, informatics, mHealth, mobile health, statistics, technology, telehealth | Tagged , , , , , , , , , , | Leave a comment

Five Essentials of a Population Management Digital Health Technology


Population health management (PHM) means different things to different people. It is a term which is in vogue now because of its injection into healthcare provider payment models and describes a strategy in which individual and patient subgroups are cared … Continue reading

Posted in #digitalhealth, analytics, digital health, digital health technology, EHR, health insurance, healthcare economics, Healthcare IT, medical apps, mHealth, mobile health, remote patient monitoring, technology, telehealth | Tagged , , , , , , , , , , , , , | 1 Comment

Five Reasons Why Digital Health Needs Patient Reported Outcomes


According to the National Quality Forum, patient reported outcomes or patient reported outcomes measures (PROs) can be defined as “any report of the status of a patient’s health condition that comes directly from the patient, without interpretation of the patient’s … Continue reading

Posted in #digitalhealth, analytics, clinical trials, digital health, EHR, FDA, healthcare economics, Healthcare IT, healthcare reform, informatics, medical apps, mHealth, mobile health, patient engagement, pharma, remote patient monitoring, technology, telehealth | Tagged , , , , , , , , , , , , , | Leave a comment

Five Reasons We Must Untrap Digital Health’s Big Data


We tend to think of Big Data as a Land of Oz where we can find any information we need. What is not appreciated by most in healthcare is that there is a lot of Big Data collected but most … Continue reading

Posted in #digitalhealth, analytics, digital health, digital health technology, EHR, healthcare economics, Healthcare IT, medical apps, medical devices, mHealth, mobile health, pharma, technology, telehealth | Tagged , , , , , , , , | 2 Comments

Five Ways to Turn Big Data into Relevant Data


‘Big Data’ may be defined as data that is so large or complex that it cannot be processed by the usual applications. Current common uses of Big Data in healthcare include the collection of genomic data, insurance claims data, medication prescription … Continue reading

Posted in #digitalhealth, analytics, clinical trials, digital health, digital health technology, EHR, health insurance, healthcare economics, Healthcare IT, informatics, mHealth, mobile health, patient engagement, remote patient monitoring, Uncategorized | Tagged , , , , , , | 1 Comment

My Five Asks of Digital Health


Digital health is experiencing what I would characterize as its adolescence.  The rudimentary pieces are in place for adoption; Awareness of the technologies, the progressing maturation of mobile technologies, realization of its critical need in the marketplace, interest by large … Continue reading

Posted in #digitalhealth, analytics, digital health, digital health technology, EHR, fitness, healthcare economics, Healthcare IT, healthcare reform, healthcare vendors, informatics, medical apps, medical devices, mHealth, mobile health, patient advocacy, patient engagement, pharma, smartphone apps, technology, telehealth | Tagged , , , , , , , , , , , , , | 1 Comment

Five Digital Health Implications of the Most Important Report You Never Heard of


One of the most discussed barriers to the adoption of mobile health technologies is the Digital Divide between the elderly and the rest of society. Technology may support initiatives encouraging aging at home.  There are many reasons why older persons do not use … Continue reading

Posted in #digitalhealth, death and dying, digital health, digital health technology, emergency medicine, health insurance, healthcare economics, Healthcare IT, medical apps, medical devices, mHealth, patient advocacy, patient engagement, remote patient monitoring, smartphone apps, technology, telehealth, Uncategorized | Tagged , , , , , , , , , , , , , | 1 Comment

Five Reasons why the End of Meaningful Use is the Beginning of Meaningful Digital Health Information


The end of the Meaningful Use incentive program will turn the healthcare IT focus from the regulator to the patient. Continue reading

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Five Ways Rare Diseases can Benefit from Digital Health Technology


Rare diseases present special challenges for patients, families and clinicians alike. Symptoms may be mistaken or assumed to be more common ailments. There is not enough searchable material online for lay people, as most of the data and information might be … Continue reading

Posted in #digitalhealth, analytics, clinical trials, communications, digital health, digital health technology, EHR, FDA, Healthcare IT, informatics | Tagged , , , , , , , , , , , | 6 Comments