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SavanaEcosystem

Probably, no human activity generates as much data as healthcare

Savana 2018

www.savanamed.com

ECOSISTEMA DE INVESTIGACIÓN SAVANA

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“Hemos acordado con los Servicios Generales de Farmacia del SESCAM que hay

que cambiar la forma de enfocar el visado, eliminando cosas indeficientes e

introduciendo una que es muy importante. Para defender todo he presentado la

información de Savana. Hoy mismo se tomará una decisión muy importante

donde la información que he volcado de Savana va a ser muy relevante”

Dr. José Luis Izquierdo – Jefe de Neumología H. de Guadalajara

www.savanamed.com


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“Savana me permite evaluar a toda la población del hospital y periodos más

prolongados, lo que resultaba inabordable en las circunstancias "tradicionales“

Dra. María Ballesteros – Responsable Unidad de Nutrición H. León

www.savanamed.com


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“La implantación de la solución de Savana ha supuesto una mejora en la

adherencia a las vías clínicas, lo que ha repercutido muy positivamente

en la calidad asistencial, y ayudando al profesional en la toma de decisiones y

disminuyendo la variabilidad de la práctica clínica en nuestros centros.”

Dr. Alfonso Abaigar – Director de Atención Primaria de Castilla la Mancha

www.savanamed.com


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"Con Savana hemos detectado que en el Hospital existe en torno a un 20% de

pacientes con Hepatitis C que no están en consulta de los especialistas

responsables del tratamiento, y están perdidos en el sistema. Vamos a poner en

marcha un programa de captación activa de dichos pacientes.

Dra. Gloria Sánchez Antolín – Jefe de Hepatología H. Río Hortega de Valladolid


www.savanamed.com 8

AI can increase data availability up to 5 timesOnly 15-20% of information in electronic health records is structured data

www.savanamed.com


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Savana aggregates unstructured data using AI80% of clinically relevant data are captured by clinicians in text form

• Emergency report

• Consultation and medical reports

• Prescriptions

• Pharmacy, microbiology, pathological anatomy, radiology, etc…

• Discharge reports

• Physician correspondence

Unstructured text

Typical eHR content

Natural Langauge Processing Named Entity recognition Machine Learning with > 300m records read

Converts synthetic datainto visual information

Synthetic data base created out of aggregated individual text records

SAVANA RESEACH ECOSYSTEM

www.savanamed.com 10

Natural PrivacyPrivacy by design

Security by designImplemented by public regional

state authorities

AnonymizationFully compliant with GDPR

AggregationApproved by the Spanish Drugs Agency& Ethical Committees in 60+ hospitals

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95% 95% 95%

SAVANA RESEACH ECOSYSTEM


Evaluation toolEvaluation of Savana's performance at extracting relevant clinical information

VALCARD

Data Validation Projectin Atherosclerotic/Cardiovascular Clinical Phenotypes

Intermediate Evaluation



Precision results

Primary variable TP FP FN Precision Recall F-score

Primary hypercholesterolemia 9 0 0 1,00 1,00 1,00

Hypertriglyceridemia 6 0 0 1,00 1,00 1,00

Acute myocardial infarction 5 0 0 1,00 1,00 1,00

Stable angina 1 2 0 0,33 1,00 0,50

Ischemic heart disease 26 5 0 0,84 1,00 0,91

Stroke 5 6 10 0,45 0,33 0,38

Transient ischemic attack (TIA) 4 0 0 1,00 1,00 1,00

Diabetes mellitus 157 0 3 1,00 0,98 0,99

Chronic kidney disease 36 0 10 1,00 0,78 0,88

Carotid atherosclerosis 0 0 4 0,00 0,00 0,00

Multivessel coronary disease 0 4 0 0,00 0,00 0,00

1-vessel coronary disease 0 0 4 0,00 0,00 0,00

Primary variable TP FP FN Precision Recall F-score

Acute coronary syndrome 1 0 0 1,00 1,00 1,00

Stable angina 1 1 0 0,50 1,00 0,67

Ischemic heart disease 9 0 0 1,00 1,00 1,00

Stroke 8 0 0 1,00 1,00 1,00

Peripheral arterial disease 1 0 0 1,00 1,00 1,00

Diabetes mellitus 30 0 2 1,00 0,94 0,97

Chronic kidney disease 3 0 2 1,00 0,60 0,75

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www.savanamed.com


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Savana Research Success Stories Results of a multicentre study in inflammatory disease

Patient journey

Automatic phenotyping Prediction of response to biological treatments



Disease Objective Scope

Respiratory Prevalence, evolution prediction National

Cancer Patient Journey National

Respiratory Cost analysis National

Digestive Risk factors, Patient journey, epidemiology, evolution prediction Regional

High budget impact Drugs effectiveness National

Cardiovascular Epidemiology International (USA)

Vascular Comparative effectiveness National

Metabolic Epidemiology National

Renal Prevalence, Patient Journey National

Cardiovascular Patient classification, Patient Journey National

Cancer Patient Journey, baseline characteristics, disease management Nacional

Cancer Patient Journey, baseline characteristics, disease management International (UE)

18 RWE studiesIn less than two years

On

go

ing

stu

die

s

www.savanamed.com


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Savana Manager Success Stories

Hyperkalemia in a clickwith Savana

Asthma emergency admissionsin an adult population of Madrid (Spain)

www.savanamed.com


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Hospital group with 15 hospitals

Used by the Research Unit forattracting resources through the recruitmentof patients for clinical trials

Clinical trials carried out

Familial aortic cardiomyopathy

Breast cancer treated with lapatinib

Myxoid Liposarcoma

Retroperitoneal sarcoma

Parkinson's with motor fluctuations

"Of the 10 tools we have, Savana is the one that better allows us to find patients "

Head of Clinical Trials




Detection of inadequate prescriptions Modified clinical practices

Absence of treatment with statins in patients with

myocardial infarction

Use of chondroitin and glucosan in osteoarthritis

Inappropriate use of benzodiazepines in anxiety

Inadequate use of bisphosphonates, calcium and

vitamin D in osteoporosis

Incorrect dosage of antidepressants

Use of Sintrom instead of new anticoagulants in

atrial fibrillation

Acidosis as a side effect of metformin

Prostatitis secondary to prostate biopsies

Candidates for Parkinson's surgery erroneously not included

Patients with refractory essential tremor on which to apply ultrasound (technology until then underutilized)

Patients with non-invasive mechanical ventilation, avoiding ISU

Correction of an error x2 in the forecast of beds and salbutamol for bronchiolitis

Recruitment of patients with familial aortic cardiomyopathy for clinical trials

Breast cancer registry treated with lapatinib

Syncopes discharged in emergencies that return for a PT

Births that evolve to mastitis

Postoperative infections by type of surgery

Palliative sedation for pathology and drug

www.savanamed.com


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Savana Consult Success Stories

3 phases

Quantify the adherence by analysing medical records

Real-time supportwhile the professionals’ types in

Continuous monitoringof improvements in adherence

Positive results, favourable user opinions

Improvement in 8 clinical pathways, 3 significant (p <0.05)

According to users, the solution isa useful tool that does not hinder or affect the dynamics of your work.

“Savana / Accenture solution implementation has led to an improvement in the adherence to clinical pathways, which has had a very positive effect on the quality of care, as well as helping the professionals in their decision-making process and reducing the variability of clinical practice in our centres”

Dr. Alfonso AbaigarDirector of Primary Care at SESCAM

“Savana's technology is flexible and copes with different format types, as long as they are text-type. The use of advanced data analysis tools and terminology services allows to extract valuable information from information systems, for the clinician. It has an anonymization algorithm that meets all privacy requirements.”

Dr. Luis Morell BaladrónIT Director at SESCAM

Project ObjectiveImprove professionals’ adherence to different clinical pathways.

Implementation time5 months

Savana Farma

My hospital epidemiology in a click

Automatically calculates optimal indicators in a

hospital pharmacy service

“

”Hospital Pharmacists can:

Fast automatically extraction of clinical data from the population:- Epidemiology- Usual practices- Temporary trends in tests and treatments

Quickly visualize the treatment journeys of therapeutic areas

User definition of Efficacy and Safety parameters (for each therapeutic journeys)

Support in consumption analysis & real world evidence.

It correlates the

prescription with the

clinical practice extracted from the free

text.

www.savanamed.com


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Health Outcomes | Real World Evidence | Efficacy and safety | Pathologies with high budgetary impact

Savana H2O

www.savanamed.com


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SAVANA Europe – Success stories

• Currently a Pharmaceutical Company is launching an observational retrospective study to analyze the disease and treatment pathway of Prostate Cancer, using Electronic Health Records (EHRs) data of 60 public and private hospitals in Spain.

• This Pharmaceutical Company is extending this study to 60 more European hospitals of English, French and German speaking countries.

• Expanding the NLP system to three new languages(English, German & French)

• Architecture scaling up, testing & tuning

• Clinical demonstration, validation & NLPproficiency with SEPAR (The Spanish Society ofPneumology and Thoracic Surgery) in 80 EuropeanhospitalsLondon

Berlin

Paris

SME Instrument H2020 – COPD

Prostate Cancer –European Research

www.savanamed.com


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80Hospitals

32 complete Regions

1 Private Group

9Countries

SpainFrance

GermanyUK

USA…

14Therapeutic áreas

OncologyCardiovascular

RespiratoryImmunology

…

[email protected]

Ignacio Hernández Medrano

@ihmedrano

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