Health-IT Meaningful use Ib Johansen Deputy manager, MedCom Denmark Health Telematics Danish Centre for MedCom.

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Health-IT Meaningful use Ib Johansen Deputy manager, MedCom Denmark Health Telematics Danish Centre for MedCom

Prescriptions = 73% Prescriptions = 84% Disch. Letters = 85 % Disch. Letters = 99 % Lab.reports = 82 % Lab.reports = 99 % Referrals = 65 % Referrals Reimbursement = 99 % GP´swithEDI : 2120 = 100 % SpecialistswithEDI: 790 = 99 % HospitalswithEDI : 63 = 100% Pharmacies withEDI: 322 = 100 % Doctors onCall: 5 = 100 % Health Insurance: 5 = 100 % 120 messages/min Lab Requests = 99 %

E-Prescriptions Patient Electronic Medicine profile (PEM) Including vaccination (2011)

Pharmacy Nursing homes GPDoc Call CenterPrivate specialistHome CareCitizenHospital Vision General Mediciation Database contains the actual medication of each citizen and can be displayed and managed in different IT systems.

Telephone call from pt. : 25 DKR from/to pt.: 50 DKR contacts with patients

Medication profile Central database 2 years

WEB – E.LPR Hospital cases (ICD10 coded)

Waiting times X

View – All Episodes of Care

bv

Lab results - portal

Source: MedCom, 2005 Consultations / EDI penetration

Central servers WebReq laboratory requisition WebReq MEDREQ MEDRPT

VANS Central servers, e-Referral Hotel e-Referral Hotel Referral Acknowledgement Acknowledgment Referral

Consensus-Implementing Contracts Counties/Vendors HPG – groups Technical groups The good EDI-Letters Training NICE concept Documentation Test-certification 1.Test in EDI-CHECK 2.Semantic check, testprotocol 3.All data presented and valid 4.Live test 3. 2 Consolidationprocess

Consensus - Implementing Contracts Counties/Vendors HPG – groups Technical groups The good EDI-Letters Training NICE concept Documentation Test-certification Implementation 3. 2 Consolidationprocess

Meaningful use MedCom connectaton Health Telematics Danish Centre for MedCom

Implementation supported by MedCom

Meaningful use Quality –Medication, vaccination –Patient summary – consultation, booking –ICPC coding –Weight (children database) –Cronic patients, Diabetic, AC, COPD- home treatment, smoking status(coded-uncoded) –Referrals –Lab test orders –Electronic communication (raises productivity) –FNUX –Hospitals ICD10 obligatory coding-report to national disease database ( + cancer database) Incentives to promote implementation –Reimbursement EDI –All lab results EDI –All frequent docs EDI Strategies for national standards and interoperability; –MedCom EDI-standards (all vendors) Vendor certification and technical assistance; –SW – approval / certification –Free test tools The role of a national health integrator; –MedCom Privacy and confidentiality safeguards; –Data protection law Use of public/private partnerships to support innovation –MedCom Health Telematics Danish Centre for MedCom

Meaningful use Objectives –Core set – 95 % –Menu set – 80 % Big issues –Patient access to own data –All relevant information ready when needed –No waiting time –Cronic patients self treatment/management Health Telematics Danish Centre for MedCom