Exploiting Cloud-Based Personal Health Information Systems in Practicing Patient Centered Care Model - Biomedical Engineering Systems and Technologies - page 317

communication between pa
with access to current pati
lized care management incl
nication tools such as vid
health care professionals t
assist in the use of the peri
the ability to show video, w
From technology point
less peripheral devices that
clude blood pressure cuffs,
data gathered from peripher
for later analysis (Figure 1)

atients and healthcare professionals and provide clinici
ent data. They also provide interactive tools for perso
luding vital sign collection, patient reminders and comm
deo conferencing capabilities, allowing remotely loca
to interview, observe and educate the patient, as well
ipherals or other medical devices. Some devices also h
which can be used for educating the patient.
of view personal health systems consist of a hub and w
t collects physiologic data. Typical peripheral devices
, pulse oximeters, weight scales blood glucose meter. T
ral devices are transmitted by the hub to a clinical datab
.

ians
ona-
mu-
ated
l as
have

wire-
in-
The
base

Fig. 1. Remote monitoring through a clinical information database

3 Information Flo ows in PHIS

The technology that suppo
care of the patients with ch
tion that are coming from a
•

orts both patient centered healthcare and pharmaceut
hronic conditions have to coordinate the flows of inform
variety of sources. These information flows include:
from peripheral devices (that collect physiologic data)

tical
ma-

Vital sign information f
PHIS.
•

) to

Health regimen informa
pharmacists).
•

tion between healthcare providers (physicians, nurses and

Information between pat tient and healthcare providers.

between healthcare providers and patient's family me • Healthcare information

bers.
•

em-

Relevant educational hea
Supporting these informatio
information flow that chara
ing. In particular the tradi

alth information from healthcare providers to patient.
on flows is much more challenging as the simple vital s
acterized an earlier generation of remote patient moni
itional remote monitoring model (illustrated in Figure

sign
tor-
e 1)