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eStandards @ ConHIT
Next steps for standardisation in health information
sharing
Clinician viewpoint
Prof Dr Dipak Kalra
EuroRec
Dipak Kalra
• GP for 12 years
• deprived part of east London
• high ethnic mix, many refugees and migrant workers
• Health informatics (EHRs) 23 years
• clinical requirements, patient requirements
• information models, clinical models, standards development
• privacy protection and access controls, consent
• reuse of EHRs for research and learning health systems
• increasingly: the socio-technical and business models needed to scale
up interoperability
2
What connectivity and computability
are clinicians impatient for?
• Connectivity: shared care (co-morbidity), safety (medication list!,
allergies!), including patient and family
• Smartness: overviews and trends (heart failure), risk stratification
(heparin), prescribing DS (inc OTC), care pathway steps (escalation),
referral DS (FH breast cancer), workflow support (team orchestration),
(not form filling)
• Learning: clinical audit, care pathway optimisation, outcomes
optimisation, avoidance of safety issues (pharmacovigilance), support with
research (own, multi-centre, cross-border, sponsored clinical trials)
• Cross border shared care - not only EU - reflecting the population of
modern cities
3
What gaps do clinicians find in standards?
• Still an over-focus on engineering and technical matters (of little interest
to us)
• Semantic standards (clinical models and term lists) - multi-professionally
driven, involve the patient
• Guideline and DS rules that can be applied equally across systems and
settings
• Quality metrics that truly reflect outcomes oriented care (not the crude
benchmarks of today, which have multi-factorial determinants)
• Access policies that can truly scale across care settings and borders
• Connectivity with personal health records and systems
4
The clinicians wish-list to eStandards,
and to decision makers
• Standards and nomenclatures should not impose an unreal precision on the
interpretation of clinical statements
• Applications and medical terminologies must reflect the words and phrases of the
clinicians, and the patients
• We collect too much irrelevant data: involve clinicians in defining what data are
really needed to support decision making
• Provide benefits to clinicians from good documentation such as contextual advisory
systems, support learning health systems including research
• Procurement contracts for health ICT services need to prioritise interoperability, to
stimulate industry adoption of standards and profiles
• Health ministries, insurers and commissioners should promote contracts endorsing
person centred care, i.e. requiring healthcare providers to collaborate, to co-ordinate
care and to engage patients
5

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1st eStandards conference: next steps for standardization in large scale eHea...
1st eStandards conference: next steps for standardization in large scale eHea...1st eStandards conference: next steps for standardization in large scale eHea...
1st eStandards conference: next steps for standardization in large scale eHea...
 
1st eStandards conference: next steps for standardization in large scale eHea...
1st eStandards conference: next steps for standardization in large scale eHea...1st eStandards conference: next steps for standardization in large scale eHea...
1st eStandards conference: next steps for standardization in large scale eHea...
 
1st eStandards conference: next steps for standardization in large scale eHea...
1st eStandards conference: next steps for standardization in large scale eHea...1st eStandards conference: next steps for standardization in large scale eHea...
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1st eStandards conference: next steps for standardization in large scale eHea...
1st eStandards conference: next steps for standardization in large scale eHea...1st eStandards conference: next steps for standardization in large scale eHea...
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1st eStandards conference: next steps for standardization in large scale eHea...
1st eStandards conference: next steps for standardization in large scale eHea...1st eStandards conference: next steps for standardization in large scale eHea...
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1st eStandards conference: next steps for standardization in large scale eHea...
1st eStandards conference: next steps for standardization in large scale eHea...1st eStandards conference: next steps for standardization in large scale eHea...
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eStandards conference: Next steps for standardization in large scale eHealth ...
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First eStandards conference Healthcare Executives Panel Dipak Kalra

  • 1. 1 eStandards @ ConHIT Next steps for standardisation in health information sharing Clinician viewpoint Prof Dr Dipak Kalra EuroRec
  • 2. Dipak Kalra • GP for 12 years • deprived part of east London • high ethnic mix, many refugees and migrant workers • Health informatics (EHRs) 23 years • clinical requirements, patient requirements • information models, clinical models, standards development • privacy protection and access controls, consent • reuse of EHRs for research and learning health systems • increasingly: the socio-technical and business models needed to scale up interoperability 2
  • 3. What connectivity and computability are clinicians impatient for? • Connectivity: shared care (co-morbidity), safety (medication list!, allergies!), including patient and family • Smartness: overviews and trends (heart failure), risk stratification (heparin), prescribing DS (inc OTC), care pathway steps (escalation), referral DS (FH breast cancer), workflow support (team orchestration), (not form filling) • Learning: clinical audit, care pathway optimisation, outcomes optimisation, avoidance of safety issues (pharmacovigilance), support with research (own, multi-centre, cross-border, sponsored clinical trials) • Cross border shared care - not only EU - reflecting the population of modern cities 3
  • 4. What gaps do clinicians find in standards? • Still an over-focus on engineering and technical matters (of little interest to us) • Semantic standards (clinical models and term lists) - multi-professionally driven, involve the patient • Guideline and DS rules that can be applied equally across systems and settings • Quality metrics that truly reflect outcomes oriented care (not the crude benchmarks of today, which have multi-factorial determinants) • Access policies that can truly scale across care settings and borders • Connectivity with personal health records and systems 4
  • 5. The clinicians wish-list to eStandards, and to decision makers • Standards and nomenclatures should not impose an unreal precision on the interpretation of clinical statements • Applications and medical terminologies must reflect the words and phrases of the clinicians, and the patients • We collect too much irrelevant data: involve clinicians in defining what data are really needed to support decision making • Provide benefits to clinicians from good documentation such as contextual advisory systems, support learning health systems including research • Procurement contracts for health ICT services need to prioritise interoperability, to stimulate industry adoption of standards and profiles • Health ministries, insurers and commissioners should promote contracts endorsing person centred care, i.e. requiring healthcare providers to collaborate, to co-ordinate care and to engage patients 5