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Beyond telehealth: the virtual care technology trends that will transform healthcare

Beyond telehealth: the virtual care technology trends that will transform healthcare | healthcare technology | Scoop.it

We are directionally headed towards a significant shift in the way care is delivered.

 

The rapid up scaling of virtual care capacity and the mainstreaming of Telehealth have given rise to new digital health tools. Self-triaging and contact tracing for COVID-19 infection detection are among the new breed of digital health applications that startups to big firms alike were looking at to seize the emerging opportunities.

 

Telehealth is here to stay. Healthcare is shifting to virtual care models. Digital front door apps are all the rage. What else is emerging that could change the way we experience care?

 

While telehealth is now the de facto mode of accessing healthcare for most low-acuity and routine care needs, a number of related technology-led trends are quietly gaining ground as well. Here the author looks at a few of these and opinionates on their potential impact on healthcare consumer experiences.

 

"contactless" experiences:

Covid has made us all afraid to touch any surface exposed to the public. Nowhere is this fear more prominent than a hospital or clinic setting. Healthcare executives now speak of airport check-in type of experiences for healthcare appointments, both for in-person and virtual visits.

 

Technology-enabled workflows now enable patients to complete most of the registration formalities prior to the visit, be it a virtual consult or a clinic visit. Registration kiosks in hospital lobbies may soon be enabled with facial recognition software to eliminate the need for touching any surface.

Routine examinations are also going virtual, with many diagnostic procedures now possible through remotely controlled devices. Caregivers are beginning to do their patient rounds through virtual visits. This trend will only grow in the coming years.

 

Contact tracing

Inspired by the success of India, Singapore and South Korea, contact tracing applications on Bluetooth-enabled devices have been positioned as an effective means to track and trace infections to reduce the spread of COVID-19

Despite many setbacks, contact tracing's potential for deployment within communities and populations for uses beyond COVID-19 has longer-term potential, and this could be the single most important technology-enabled healthcare program to come out of the COVID-19 crisis.

 

Remote monitoring and automated communication

Healthcare executives are more motivated than ever to keep their populations healthy in their homes. A vast and growing array of automated communication tools allows caregivers to use rule-based messaging to push everything from health coaching, post-discharge care instructions, and appointment reminders through IVR, text, SMS, and mobile alerts.

 

Data mining tools can identify subsets of populations at risk and enable caregivers to intervene on time. A New York-based COVID-19 Rapid Response Coalition involving tech giant Amazon that targeted high-risk populations through SMS campaigns that reached up to 10,000 members a day, is an example of how automated communication tools can serve populations in a crisis and during normal times.

 

The use of digital health and automated communication tools has also improved healthcare outcomes by reducing no-shows for appointments, increased adherence to medication regimens, and targeted interventions during adverse events.

 

There is an unprecedented opportunity today to use telehealth technologies in the complete continuum of care. However, healthcare enterprises and their technology partners need to make them more user-friendly.

 

That will determine success for new technology-enabled virtual care models. Every health system has to design the digital experience that is suited for their patient populations while remembering to address the needs of caregivers who will deliver and manage the experiences.

 

nrip's insight:

Yes, it seems like the directional shift care is going to be delivered,  spoken about for years by many, including me, is arriving. This piece speaks of 3 technologies, of which I believe contactless will probably not survive the test of time. Predictive analysis, Population health interventions or As I like to call it Community Health Interventions will also be big gainers. Mobile platforms will keep enhancing, on the back of contact tracing or assessments, but they will certainly lead to an improvement in information therapy, which hopefully will come main stream.

Kamiya Britton's curator insight, July 2, 2020 12:27 AM
Telehealth has been on the rise with interface doctor visits, therapists appointments, and contactless visits. These new adaptions to the "new normal" have transform healthcare as we knew before. With patients not wanting to physically visit the doctors in fear of exposure. Virtual visits have become a new way to contact the doctor through zoom or skype. I believe that this does keep patients up to date with new technology. But this also takes away the patient-doctor relationship. This could also become a way for diseases and present health issues to not be taken care of. Having personal experiences, Telehealth does not supplement the physical necessities needed for diagnosis and treatment. The demand for disease awareness will decrease because patients can become dishonest and frustrated with the technology adjustment. This would increase sales for tablets and phones that are compatible with Zoom or Skype. Introducing technology as an additive can become modernized to elderly patients. But for health concerns, this is should not become supplements for health appointments. 
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EHR Communication and Diabetes Patient Outcomes

EHR Communication and Diabetes Patient Outcomes | healthcare technology | Scoop.it

A study to correlate EHR Communication with patient outcomes for diabetes patients reported that "EHR team communication flow patterns may be an important avenue to explore in raising quality of care and lowering costs for patients with diabetes in primary care." The study found that Primary care teams whose EHR communication reached more team members indirectly (ie, via message forwarding) had worse outcomes and higher medical costs for their patients with diabetes.

 

The study was carried out to determine how changes in electronic health record (EHR) communication patterns in primary care teams relate to quality of care and costs for patients with diabetes.

The Study Design: EHR-extracted longitudinal observational study.

A total of 83 health professionals in 19 care teams at 4 primary care clinics associated with a large Midwestern university participated in the study.

 

Counts of messages routed between any 2 team members in the EHR in the past 18 months were extracted. Flow-betweenness, defined as the proportion of information passed indirectly within the team, was calculated.

 

The analysis related changes in team flow-betweenness to changes in emergency department visits, hospital stays, and associated medical costs for the teams’ patients with diabetes, while adjusting for team face-to-face communication, patient-level covariates, comorbidities, team size, and clinic fixed effects.

Results: Patient hospital visits increased by 13% (standard error [SE] = 6%) for every increase of 1 percentage point in team EHR message forwarding (ie, higher team flow-betweenness). Medical costs increased by $223 (SE = $105) per patient with diabetes in the past 6 months for every increase of 1 percentage point in team flow-betweenness.

Conclusions: Primary care teams whose EHR communication reached more team members indirectly (ie, via message forwarding) had worse outcomes and higher medical costs for their patients with diabetes.

 

EHR team communication flow patterns may be an important avenue to explore in raising quality of care and lowering costs for patients with diabetes in primary care.

 

read the whole study details at  https://www.ajmc.com/journals/issue/2018/2018-vol24-n10/putting-the-pieces-together-ehr-communication-and-diabetes-patient-outcomes 

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