1. Personal Health Device (PHD) Implementation Guide
Home
Personal Health
Gateways
FHIR Server 1
Personal Health
Devices 2
Remote Patient
Monitoring

2. Personal Health Gateway
PHG
IEEE 20601
Personal Health Gateway
(PHG)
Heart Rate
Blood Pressure
Thermometer
Glucometer
Pulse Oximeter
Weight Scale
Proprietary # 1
Proprietary # 2
Each arrow represents
suffering for the PHG
implementer.
Proprietary # 3
Proprietary # 4
Special
code for
each
device
Proprietary # 5
Proprietary # 6
Proprietary # 7
Proprietary # 8
Proprietary # 9
PHDs
Proprietary # 10
Proprietary # 11
Proprietary # 12
XDSb Provide and Register

3. Personal Health Gateway
PHG
IEEE 20601
Personal Health Gateway
(PHG)
Heart Rate
Blood Pressure
Thermometer
Again, each arrow represents suffering
for the PHG implementer.
The arrow represents the mapping to FHIR as in IG part 1
The BTLE arrows are done by mapping to the IEEE standard.
The dashed arrows are done by mapping to the IEEE but may not be possible
Glucometer
Pulse Oximeter
Weight Scale
Proprietary # 1
PHD Implementation Guide Part 1
Proprietary # 2
Proprietary # 3
Proprietary # 4
Special
code for
each
device
Proprietary # 5
Proprietary # 6
Proprietary # 7
Proprietary # 8
Proprietary # 9
PHDs
Proprietary # 10
Proprietary # 11
Proprietary # 12
XDSb Provide and Register

4. PHD Implementation Guide Part 2
PHG
Personal Health Gateway (PHG)
IEEE 20601
Oauth Token Server
Heart Rate
FHIR Server
Blood Pressure
Patient
Thermometer
Glucometer
Pulse Oximeter
PHD Device
PHG Device
Weight Scale
FHIR Resources
PHD Implementation Guide Part 1
Proprietary # 1
Observation n
Proprietary # 2
Proprietary # 3
Proprietary # 4
Special
code for
each
device
Proprietary # 5
Proprietary # 6
Proprietary # 7
PHD Implementation Guide Part 2
Proprietary # 8
Proprietary # 9
PHDs
Proprietary # 10
FHIR reader
Proprietary # 11
Proprietary # 12
XDSb Provide and Register

5. We examine the FHIR data generated by the PHG
Let’s Skip the PHD to FHIR that’s for PHG implementers and requires significant domain knowledge
We examine the FHIR data
generated by the PHG
We consider only PHD data delivered by protocol

6. What data does a PHD provide?
Device Information
(MDS)
MDS = Medical Device System
Metric Information
(observation, measurement, …)

7. Device Information * = required ** = conditionally required
Specialization (blood pressure, pulse ox, etc.)*
Manufacturer name*
Model number*
Serial number**
Firmware**, hardware, software, protocol, and Continua** versions
Part number
System Identifier*
Time properties
Clock type**
Synchronization**
Resolution
Accuracy
Regulatory information
Regulation status**
Certification status**
Current Time**
* = required
** = conditionally required

8. Device Information Device Resource
Specialization
Manufacturer name
Model number
Serial number
Firmware, hardware, software, protocol, and Continua versions
Part number
System Identifier
Time properties
Clock type
Synchronization
Resolution
Accuracy
Regulatory information
Regulation status
Certification status
Current Time
profile:
type: PHD
specialization – code, version
manufacturer
modelNumber
serialNumber
version – code, value
partNumber
identifier – code, system, value
property – code, value (code, quantity)
property
Coincident Time Stamp

9. Metric Information: Type: what it is. Given by an MDC code.
Time stamp: when the sensor recording was made.
Recorded by the sensor
Recorded by the Gateway (time of reception)
Value: the quantitative representation; one of six possible representations
Optional descriptions:
Supplemental information
Duration of recording (such as a cardio session)
Status (questionable, invalid, in progress, etc.)
Related metrics (src-handle-references)
Thresholds, etc.

10. The 6 Value Representations:
Single Number (scalars): weight, temperature, pulse rate, glucose concentration, etc.- units
Multiple numbers (vectors): blood pressure {systolic, diastolic, mean), acceleration (x, y, z components), etc. - units
Coded: meal context, test method, health context, etc.
State and Event: sensor status, patient’s room status, etc. State example: door opened or closed Event example: finger poorly placed
Waveforms (periodic scalars): ecg trace, pleth wave, spirometry flow rates, etc. - units
String: human readable message

11. Metric Observation meta.profile (depends on value) code effective[x]
Type
Time stamp
without duration
with duration
Value
Single number
Multiple numbers
Coded
State/Event
Waveform
String
meta.profile (depends on value)
code
effective[x]
effectiveDateTime
effectivePeriod
value[x]
valueQuantity*
component.code, valueQuantity*
valueCodeableConcept
component.code, valueCodeableConcept
valueSampledData
valueString
* dataAbsentReason on NaN, Pinf, Ninf

12. Observation Metric Special Optional descriptions dataAbsentReason
status
Supplemental types
Related metrics
Thresholds, etc
dataAbsentReason
interpretation
component.code, valueCodeableConcept
derivedFrom
component.code, value[x]

13. Patient
meta.profile
identifier
PHD gives no patient data

14. Coincident Time Stamp
It’s a measure of the current time of the PHD at the current time of the PHG
code - Type of PHD time stamp
effectiveDateTime - Current Time of PHG
valueDatetime -
valueQuantity -
dataAbsentReason -
Current Time of PHD
PHG corrects measurement time stamps and provides
local time plus offset to UTC

15. Devices Track WE PROVIDE: FHIR Server Personal Health IT DOES Gateways1
Personal Health
Devices 2
Remote Patient
Monitoring
YOU DO

16. How We Help WE PROVIDE: Java Intellij ‘RPM’ Source project:
MDC dictionary
Asn1ToHL7 dictionary
Websockets subscription support
Examples of Observation and Device decoding
FHIR Server
Gateways allow manual data entry so one can
simulate various medical conditions like hypertension.
Gateways are on Android PlayStore - BYOA 2
Remote Patient Monitoring,
Alert system,
Diagnostics,
Whatever else you can dream up,
PC, Linux, Android