HOW TO LEVERAGE DATA TO MANAGE AND SAVE LIVES? · HOW TO LEVERAGE DATA TO MANAGE AND SAVE LIVES? -A...

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HOW TO LEVERAGE DATA TO MANAGE AND SAVE LIVES? - A WORLDWIDE AWARD WINNING SOLUTION José Pedro Almeida @jpedroalmeida_

Transcript of HOW TO LEVERAGE DATA TO MANAGE AND SAVE LIVES? · HOW TO LEVERAGE DATA TO MANAGE AND SAVE LIVES? -A...

HOW TO LEVERAGE DATA TO MANAGE AND SAVE

LIVES? - A WORLDWIDE AWARD WINNING SOLUTION

José Pedro Almeida

@jpedroalmeida_

José Pedro Almeida

913709072

[email protected] 18th, 2013

• 5300 employees / 60 Dep.

• 336 million euros/Year

• 1100 Beds (60 ICU beds)

• Ranked #1 Since 2008

• Opened since 1959

São João Hospital Center – Porto, Portugal

@ Insert Twitter Handle Here

ProductionPharmacy

FinancialQuality

Laboratory

EMR

Supply Chain

HR

• Information is spread out in

dozens of heterogeneous systems

• Millions of records are stored but

there is no solution to analyze &

correlate them in a fast manner

• No holistic view of how treatments

& costs are related

• Lack of Data Quality

How Information Systems impact Management in Healthcare…

Pharmacy

FinancialQuality

Laboratory

EMR

Supply Chain

HR

EDW / OLAP

Production

What have we done differently?

Patient

Episodes

Diagnosis

Medical Procedures

Surgical Procedures

Analysis &

Exams

Medicines

&

MaterialCost ofTreatment

Nursing Procedures

Geography and

Demography

Healthcare Providers

Infections

Clinical Result

PATIENT PATHWAY

Who enters the hospital?

What is done to the patient?

How it’s done?

What’s the treatment result?

How much did he cost?

BigData Patient Centric Model - Preparing the future

Some Figures

300 millionRecords/ day

650 Indicators

100.000 questions

answered/ year

500 analysisfields

560 Billion PreCalculatedAnswers

(….)

1 billion dollarsin medicines and material

1.5 millionPatients

Working 24h/7h

since

January 2012

What drugs were consumed in 2015,related with the General Surgeryinpatient,by patients between 35 and 65 years old,female gender,from outside the district of OPorto,with hipertensionhaving a “Gastric Bypass” procedure?

Who performed the operation?Did this population caught anosocomial infection?

Powerfull Clinical Studies Capability

Strategic Management

Operational Management

OperationTheatre Live Perfomance

Indicator Before HVITAL After HVITAL

Decisions sustained on validated

numbers30% 95%

Time to answer complex question 2-3 weeks 30 seconds

Avg. Number of Management

Studies (per year)6.000 100.000

Business Processes with

permanent Monitoring & Control5 80

Number of refreshed indicators 50 650

Avg. Time (Business Process out of

Control -> Detection)5 days – 2

months

1h – 2days

Number of Workers following the

Hospital KPI’S5-10 500-1000

Business Gains – Phase I

We had a Bunch of KPIs - But do they really transform an Organization?

You need to help those who are on the field…

Antibiotic Stewardship

Infection Control

Clinical Deterioration

Risk

Clinical challenges – Top Priorities

Infections – How HVITAL helps in Infection Control?

What is our infectionrate?

How do we control the spread of infection?

What kind of infectionsmost concerns us?

How is it spreadingamong our patients?

What is an infection?

Infections – São João Spacial Mapping

Where is my Hospital Infection? How is it spreading?

Methicillin-resistant Staphylococcus aureus (2014)

Where is my Hospital Infection? How is it spreading?

Vascular Surgery

Infections – São João Spacial Mapping

Methicillin-resistant Staphylococcus aureus (2014)

How do we control the spread of infection?

EMR Real Time Alerts coming from DSS

Antibiotic Stewardship –A Worldwide problem

Antibiotic Stewardship – How HVITAL helps our clinicians…

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As many as 80 percent of hospitalized patients have

physiological parameters outside normal ranges in the

24 hours before intensive care unit (ICU) admission,

and up to three-fourths of such patients have

at least one potentially life-threatening factor

in the 8 hours before ICU admission.

Tarassenko L, Hann A, Young D. Integrated monitoring and analysis for

early warning of patient deterioration. Br J Anaesth. 2006;97:64-68.

Clinical deterioration –An Avoidable Phenomenon?

Thursday, 16h30: admission to the ED, dx “respiratory infection”

Sat, 8h: BP 110/60mmHg, HR 100/min, RR 22/min

11h30 – blood collected

12h30 – blood enters lab for analysis

14h30 – analysis result released

19h00 – patient found in shock

19h45 – CARDIORESPIRATORY ARREST

Patient dies

Saturday, 3rd inpatient day

Friday: 1st evaluation by inpatient medical team• History HTN, …. BP 160/100mmHg, HR 86bpm, RR 20cpm

• Blood Analysis where requested in the morning

Fri: Hg 9g/dl (4g/dl), WBC 30x109/l (3x), CRP 364mg/l (4x),

creatinine 1,7mg/dl (0,6mg/dl)

Clinical deterioration example

Sat, 15h30: BP 94/50mmHg, HR 115/min, RR 24/min, Temp 38,5ºC

Compile in seconds big amounts of data, that

is impossible for a human, to gather and

correlate in a timely maner

Patients admited to ICU

3 days earlier

(700 euros/day * 3 days

* 900 entrances)

Potencial Savings:

1.5 Milion euros

Who is at Risk?

Anticipate 30%

of ICU

admissions at

least 7 days

before the event

occurs

Monitors in real-time, Ranks patients by risk,

and Alerts health professionals of patient

critical events, tendencies, and problematic

relations between sparse facts.

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HVITAL was warning

about potassium level

decreasing rapidly 2

days before

How do you convince doctors to use HVITAL?

A simple text message that might save your live….

InternationalAwards & Recognitions

1st prize – Big Data & Analytics

Solution of the Year, London (UK),

March 2014

1st prize – MSHUG Innovation Award,

HIMSS 2014 Florida (E.U.A),

February 2014

Where are we heading?

We have a lot to learn!

Visit São João Hospital Center & Porto

THANK YOU!José Pedro Almeida

Head of Business & Clinical Intelligence, Centro Hospitalar de São João (CHSJ)

[email protected]

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