Category Archives: analytics

Five Reasons why the FDA got it Right with Digital Health

Posted on August 7, 2017 by

The FDA recently announced its Digital Health Innovation Action Plan.  This plan was both important and necessary.  Digital health differs significantly from drugs and traditional medical devices around which the FDA has developed its structure and policies over decades. Digital … Continue reading →

Posted in #digitalhealth, analytics, communications, digital health, digital health technology, FDA, Healthcare IT, healthcare vendors, informatics, IT security, medical devices, mHealth, mobile health, remote patient monitoring, technology, telehealth, Uncategorized | Tagged , , , , , , , , , | 1 Comment

Five Digital Health Imperatives for Patient Safety

Posted on July 17, 2017 by

The most discussed issues in healthcare today are cost savings and access to care.  There is no denying their rightful preeminence in the public discourse.  Something which has received more attention in the past but has been surpassed by the … Continue reading →

Posted in #digitalhealth, analytics, digital health, EHR, health insurance, IT security, medical devices, patient engagement, patient safety | Tagged , , , , , , , , , , , | 1 Comment

Five VALUE Offerings of the Ideal Health Management Company

Posted on February 10, 2017 by

     In previous posts I discussed the importance of population health management and the essentials of ideal population management digital tech.  One of my tenets as a consultant in digital health is that technology itself is not a solution.  A … Continue reading →

Posted in #digitalhealth, analytics, digital health, digital health technology, education, health insurance, healthcare economics, healthcare reform, healthcare vendors, language, medical devices, mobile health, palliative care, patient advocacy, remote patient monitoring, risk management, Uncategorized | Tagged , , , , , , , | Leave a comment

Five Ways a Good Digital Health Registry Addresses Healthcare System Needs

Posted on October 28, 2016 by

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

Posted on October 3, 2016 by

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

Posted on September 1, 2016 by

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

Posted on July 28, 2016 by

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

Posted on July 6, 2016 by

‘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

Posted on April 29, 2016 by

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

Posted on February 15, 2016 by

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

Posted in #digitalhealth, analytics, digital health, digital health technology, EHR, healthcare economics, Healthcare IT, medical devices, mHealth, mobile health, patient engagement, smartphone apps, Uncategorized | Tagged , , , , , , , , , | Leave a comment