Key Aspects for Digital Home Monitoring Implementation
SUMMARY:
Digital home monitoring is widely promoted to promote accessibility, efficiency and patient centered approaches to healthcare.
Successful implementation is complex, consisting of patient, provider and health system perspectives.
Many health systems are not yet ready to implement large scale digital home monitoring.
Understanding and addressing the following implementation challenges are essential.
REVIEW
Technology & Infrastructure:
Interoperable Connected Systems
Digital home monitoring systems typically collect data from multiple sources
This usually requires the patient to use download and use multiple apps.
Also requires clinicians to receive multiple reports usually with different formats.
Most healthcare organizations use proprietary platforms which are difficult to standardize.
An agnostic connection device is desirable but difficult to develop.
Stable Wide Internet Coverage
An established network is important for home monitoring.
Concerns if data transmission is interrupted.
Will the device store measurements and resend once connections re-established or will data be lost?
Data Accuracy and Artificial Intelligence Realization
Incomplete data sets pose large problems for patients and providers
Patients forgetting to record measurements
Edited data of erroneous or missing data
Patients may stop entering measurements once stable
Automated reminders maybe ignored
Privacy concerns
Artificial Intelligence primarily retrospective patient data
These models typically represent populations, not individuals
Algorithms should be validated
Liability issues persist with artificial intelligence
When inappropriate decisions are made.
Decisions based in inaccurate measurements
Algorithm of limited scope
Patient data erroneous due to device misuse.
Avoid Clinical Data Overload
Clinicians do not need to be notified of irrelevant data
Data notification should be timely and actionable
Regulatory & Financial Context
Proposal by CMS regarding regulation of clinical decision support algorithms
Device-Drug Combinations have unique challenges
Technologies for home monitoring which span different regulatory sections:
Medical device
Software applications
Artificial Intelligence applications
Active pharmaceutical ingredients (i.e. respiratory smart inhalers)
Financial Considerations
Digital devices do not always fit within traditional reimbursement pathways
Who will pay for the device
What will be covered
When will payment be made
Are cost-effectiveness models available
Are there reasonable budget estimates
CONCLUSIONS:
Digital home monitoring challenges include gaps in policy, regulatory, financial and technical considerations.
Healthcare systems should not pursue implementation of large scale digital home monitoring without understanding and addressing these implementation challenges.