ICT 4D CONFERENCE

Title: Mobile Digital Diagnosis and

Data Management

By:

Dr. Elias K. Sory,Director, Fio Health Ghana Ltd.

FIO HEALTH GHANA

Fio Health Ghana Ltd. has partnered with Fio Corporation of Canada to use Fionet in Ghana’s health care delivery system to enable high impact, high quality diagnosis of infectious diseases and real-time readily accessible data for health managers.

Directors: Dr. Elias K. Sory, MD – Former Dir. Gen. Of GHS Dr. Edem Adzogenu, MD – Sr. Adv. to Ministry of Health

Fionet Validation

Fionet Clinical Field Validation US NIH Center of Excellence in Malaria, Colombia The Global Fund, Colombian NIH, MOH US Department of Defense, KEMRI Ifakara Health Institute, Tanzania

Experience 7,500 patient sessions, 50 health workers, 30 sites 4 countries Consistently successful

Fionet Accra Phase – GHS Luminary deployment with GHS over 150 health workers trained over 50 sites deployed and functioning over 20,000 patient encounters

Two of the Biggest Infectious Disease Mgmt Problems

Error-prone diagnostic testingIneffective clinical work-up and therapyNegligible data capture and transmission, despite enormous information access

Inadequate Care

Health Workers

Clinical Workflow

Diagnostic Testing

Data Capture &

Transmission

Inadequate Data

Incomplete, inaccurate, untimely data Ineffective tracking and direction of

resources, results, performance, epidemiology, demography, surveillance, accountability, …

Blind spending and investment

Managers, Administrators,

Funders, Public Health, Industry

Data Aggregation

Monitoring and Data Mining

Health Worker

Guidance

Cloud

via standard browsersvia local cell networks

Readers, Tablets, Phones

for health workers at point of care

Automated diagnostic interpretation, workflow guidance, data capture

Gateway: for data mining, analyzing, reporting; and, for remotely managing

health workers

Aggregates data, continually and automatically uploaded from Fio smart-devices at point of care

Delivers information services via web portal to managers, administrators, workers, funders, health

agencies, patients

Web Portal for managers & data stakeholders, anywhere

Interpreting RDT Results

Incubation Timing

RDT Identification

RDT Processing QC

Digital Diagnosis: Consistent, Accurate RDT Results

Enabling accurate multiple patient

throughput

Accepting or rejecting RDT processing

Auto-detecting RDT make/model

Digitally analyzing RDT

results

Deki Reader

…via any Android device

Training

Alerts / Messaging

WorkflowGuidance

Custom Health Forms/Surveys

Easy-to-use Data Entry

Clinical Patient Demographics

Capturing Records, Connecting Anywhere

Deki Tablet

Deki Phone

Deki Management

Via Spiri, managers track/administer their fleets of Deki devices: Locations, activities, configurations, problems, user permissions, alerts, … Shut down, reset, or group Deki devices Multidirectional communication for managers and health workers via Deki devices & Spiri

Health worker connectivity: Remote Configuration/Communication

with Deki

Data Reports

Reports can be flexibly configured to present data about devices, users, diagnostic results, demographics, surveys, time, geo-location, ...

Process Improvement: Automated Reporting of Point-of-Care

Data

Process Standardization

RDT image captured in the record

Managers identify deviations from protocol, correlate diagnostic activity to drug dispensing Managers track worker activity and performance patterns over time RDT images are captured and routinely included as part of the record Managers assess RDT processing skills of healthcare workers and over-read RDTs if necessary

Example: Monitoring service delivery

Deki : no capital equipment barrier; rental pegged to usage

Spiri: fee per dataset upload for information services; uploads pegged to usage- “dataset” is the data associated with one patient session, which is

uploaded at once- fees organized to fit into existing data budgets… not from diagnostic

budget- pricing model designed for sustainability

Purchase order a three-year contract

Pricing Model