Updated	Issue	Summary	Status	Sites affected	Subscribers affected	STP
21 January 2021	COVID-19 vaccinations	EMIS have informed us of the following:	:How long does it take to get the COVID-19 vaccination notifications into the patient records in EMIS Web?	:Data is collected by NHS Digital at 22:00 each day, comprising all vaccination data received in that last 24 hour period. NHS Digital send us this data the following day and we will perform a daily upload of these vaccination notifications during that afternoon.	Ongoing	xxxx	xxxx	xxx
Childhood immunisations	Barking and Dagenham, Havering & Redbridge (BHR) CCGs	The childhood immunisations extract provides Barking and Dagenham, Havering & Redbridge (BHR) CCGs with child health data from GP systems.	Patient identifiable and anonymised
Childhood immunisations and six week check	North East London Child Health Information Service (CHIS)	The daily extract (delta) provides an update on changes made to the defined criteria over the past 24 hours; so that the hub and GP systems are in sync.	Patient identifiable
Diabetes retinopathy recall	Barking and Dagenham, Havering & Redbridge (BHR) CCGs	This project aims to identify sight-threatening diabetic eye disease at a treatable stage, to prevent blindness in people with diabetes.	Patient identifiable
East London Genes and Health	Newham, City and Hackney, Tower Hamlets and Waltham Forest CCGs	The East London Genes and Health (ELG&H) study aims to improve the health of people of Pakistani and Bangladeshi heritage by analysing the genes and health of 100,000 local people.	Patient identifiable
ELHCP Analytics Portal	East London Health & Care Partnership	Link with Discovery to combine data across the STP footprint to deliver a collaborative and fully informed approach to a holistic view of the citizen in the STP footprint, to enable predictive analytics to be more proactive in delivering healthcare and to provide a portal for informed and effective service redesign and planning.	Pseudonymised
Health checks (BHR)	Barking and Dagenham, Havering & Redbridge (BHR) CCGs	The Barking and Dagenham, Havering & Redbridge CCG Health check project uses a DDS query to identify all individuals who are eligible for an NHS Health Check.	Patient identifiable
LBH Adult Social Care linkage	London Borough of Hackney	Linking adult social care users to primary and secondary care data.	Pseudonymised
Molecular Epidemiology Approach Towards Pancreatic Cancer (PaC)	Barts Cancer Institute, Queen Mary University of London	Molecular pathological epidemiology (MPE) has contributed to the better understanding of several neoplastic diseases . By connecting putative etiological factors to specific molecular signatures across tumour phenotypes, the MPE approach can yield more accurate risk measures regarding PaC. Towards this broad goal, a case-control study will be conducted first on patients with different types of pancreas cancer and pancreatico-biliary diseases to identify associations among potential risk factors and PaC diagnosis and prognosis.	Anonymised
NE London Diabetes Eye Screening Data Access	Homerton University Hospital NHS Foundation Trust	To provide a monthly list of 'Everyone with Diabetes', the information will be used for direct patient care purpose to ensure all those who need it are screened, and those who have moved away or died are not invited for screening unnecessarily.	Patient identifiable
NHS 111 Discovery frailty flagging	Inner East London; City and Hackney, Tower Hamlets, Waltham Forset, and Newham CCGs	"As a London Ambulance Service (LAS) clinician who provides expertise for NHS 111 in North East London (NEL), I want to obtain access to the local NEL information within the Discovery Dataset to determine whether the caller is potentially seriously frail." The Discovery Data Service helps to identify potentially frail patients using a frailty algorithm and the results are provided via the Get flag for patient API.	Patient identifiable
Serious Mental Illness (SMI)	East London Foundation Trust (ELFT)	The SMI query reconciles ELFT secondary care mental health data with primary care SMI datasets.	Pseudonymised
Whole Systems Data Project	Tower Hamlets CCG	The project provides an integrated health, social care and wider determinants of health dataset across Tower Hamlets that allows effective risk stratification and needs-based resource allocation for the local population based on evidence.	Patient identifiable and anonymised
LBH Social Services Interventions	London Borough of Hackney	The aim of the project is to link primary care and secondary care data to adult social care records on an individual level to understand the prevalence of multimorbidity and healthcare usage among those people with short and long term social care packages in order to target potential interventions such as digital CBT promoted through social services.	Pseudonymised
Whole Systems Integrated Care Data Warehouse (WSIC)	North West London CCGs	This project provides WISC with patient data, as bulk and delta data files, for all North West London GPs and community services.	Patient identifiable

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Tables

xxxzxxz--David Stables 11:18, 5 May 2020 (UTC)Caption Collapse
Code	Term
H33..	Asthma
G33..	Diabetes

Code	ExpandTerm
H33..	Asthma
G33..	Diabetes

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SELECT * 
FROM observation 
WHERE patient_id = 1234

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    "iri" : ":DM_RecordModel",
    "status" : "Active"
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1. Table: allergy_intolerance

PRIMARY KEY (organization_id,person_id,id)

Column name	Data type	Constraint	Comments	References
id	bigint(20)	NOT NULL
organization_id	bigint(20)	NOT NULL	Owning organisation (i.e. publisher)	organization.id
patient_id	bigint(20)	NOT NULL	The organisations record for this person’s registration. Patients may have multiple records across clinical systems and may have registered at an organisation multiple times	patient.id
person_id	bigint(20)	NOT NULL	Unique individual across all organisations	person.id
encounter_id	bigint(20)	DEFAULT NULL		encounter.id
practitioner_id	bigint(20)	DEFAULT NULL	The clinician the activity is recorded against	practitioner.id
clinical_effective_date	date	DEFAULT NULL	The date the clinical code is recorded for
date_precision_id	smallint(6)	DEFAULT NULL	Identifies the precision of the clinical effectiveness date to either year (1) month (2) day (5) minute (12) second (13) millisecond (14)
snomed_concept_id	bigint(20)	DEFAULT NULL	The SNOMED code
original_code	varchar(100) CHARACTER SET utf8 COLLATE utf8_bin	DEFAULT NULL	The original code from the source system
original_term	varchar(1000)	DEFAULT NULL	The original code term from the source system
is_review	tinyint(1)	NOT NULL	Is this instance of the code a review of a previous encounter
PRIMARY KEY (organization_id,person_id,id),
UNIQUE KEY allergy_intolerance_id (id),
KEY allergy_intolerance_patient_id (patient_id),
KEY allergy_intolerance_snomed_concept_id (snomed_concept_id)

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