Tag Archives: #hcldr

Digital Health Technologies for Alzheimer’s Disease


The statistics related to Alzheimer’s disease (Ad) are astonishing. According to The Alzheimer’s Association there are over 5 million Americans with Ad. It is the sixth leading cause of death. More than 15 million caregivers provided an estimated 18.1 billion … Continue reading

Posted in #digitalhealth, Alzheimer's disease, digital health, health insurance, healthcare economics, Healthcare IT, medical apps, medical devices, mHealth, mobile health, music, palliative care, patient advocacy, patient engagement, psychology, smartphone apps, technology | Tagged , , , , , , , , , , , , | Leave a comment

Opioid Drug Addiction: How Digital Health Technologies Can Help


After a hiatus I am returning to my beloved Digital Health Corner.  I appreciate all my loyal followers and have attempted to bridge my absence with posts in other social media. In a previous post I discussed important public health … Continue reading

Posted in #digitalhealth, digital health, drug addiction, emergency medicine, medical apps, technology, telehealth | Tagged , , , , , , , , , , , , | 1 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 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

Five Reasons Why Population Health Management Matters


The term Population Health has replaced patient engagement as the latest buzzwords in healthcare. There are a few reasons for this. It is a necessary evolutionary strategy born out of the worsening epidemic of chronic diseases (obesity, diabetes, hypertension, and … Continue reading

Posted in analytics, communications, digital health, digital health technology, Healthcare IT, medical apps, medical devices, mobile health, patient advocacy, remote patient monitoring | Tagged , , , , , , , , , , , , | 4 Comments

Five Requirements for the Adoption of Genomics as a Digital Health Tool


That digital health technologies will be adopted to address the ills of healthcare systems around the world is a foregone conclusion. The challenges of the cost of chronic disease burden, physician and patient dissatisfaction While awareness of digital health is … Continue reading

Posted in clinical trials, digital health, digital health technology, education, FDA, Healthcare IT, informatics, medical apps, medical devices, mHealth, mobile health, pharma, remote patient monitoring, technology | Tagged , , , , , , , , , , , , , | 4 Comments

Five Imperatives of the Ideal Digital Patient Education Tool


I’ve previously discussed what I consider the five imperatives of patient-centric care.  One of them was quality patient education and monitoring tools. Tools must reflect health literacy. Health literacy is defined by the Department of Health and Human Services as … Continue reading

Posted in communications, digital health, digital health technology, EHR, medical apps, mHealth, mobile health, pharma, telehealth, wireless health | Tagged , , , , , , , | 2 Comments