In January 2023, there were around ** million My Health Records with data uploaded to them in Australia. This number increased dramatically between 2018 and 2019, largely due to changes that automatically created My Health Records for all Australians, unless they chose to opt-out. Prior to January 2019, the My Health Record was an opt-in service.

BackgroundDespite decades of calls for increased diversity in the health research workforce, disparities exist for many populations, including Black, Indigenous, and People of Color individuals, those from low-income families, and first-generation college students. To increase representation of historically marginalized populations, there is a critical need to develop programs that strengthen their path toward health research careers. High school is a critically important time to catalyze interest and rebuild engagement among youth who may have previously felt excluded from science, technology, engineering, and mathematics (STEM) and health research careers.MethodsThe overall objective of the MYHealth program is to engage high school students in a community-based participatory research program focused on adolescent health. Investigators will work alongside community partners to recruit 9th through 12th graders who self-identify as a member of a group underrepresented in STEM or health research careers (e.g., based on race and ethnicity, socioeconomic status, first generation college student, disability, etc.). MYHealth students are trained to be co-researchers who work alongside academic researchers, which will help them to envision themselves as scientists capable of positively impacting their communities through research. Implemented in three phases, the MYHealth program aims to foster a continuing interest in health research careers by developing: 1) researcher identities, 2) scientific literacy, 3) scientific self-efficacy, and 4) teamwork and leadership self-efficacy. In each phase, students will build knowledge and skills in research, ethics, data collection, data analysis, and dissemination. Students will directly collaborate with and be mentored by a team that includes investigators, community advisors, scientific advisors, and youth peers.DiscussionEach year, a new cohort of up to 70 high school students will be enrolled in MYHealth. We anticipate the MYHealth program will increase interest and persistence in STEM and health research among groups that have been historically excluded in health research careers.

My HealtheVet (MHV) is VA's award-winning online Personal Health Record (PHR), located at www.myhealth.va.gov. The mission of MHV is to transform the delivery of health and health care for all Veterans, independent of where they receive care, by providing one-stop, online access to better manage their overall health, make informed health decisions, and record and store important health and military history information. MHV provides access to VA health care and information 24/7 through web-based tools that empower Veterans to become active partners in their health care. MHV registrants can click a 'Blue Button' on the website to view, print or download their available personal health information and military service information. They can choose to share that information with other providers, caregivers, family members or job advocates safely, securely, and privately. Web technology combines essential health record information enhanced by online health resources. This enables and encourages patient/clinician collaboration. The online environment maps closely to existing clinical business practices and extends management and delivery of care. MHV allows VA patients to request and receive VA prescription refills and provides a blended history of VA and self-entered medications. Registrants whose personal identities have been verified as VA patients can receive copies of select VA electronic health records, including VA Appointments, Chemistry/Hematology Lab Results, Allergies and Wellness Reminders. Many VA patients are communicating with their participating health care teams through Secure Messaging.

Sample summer launch agenda topics aligned with MYHealth constructs.

MY-Health is a cross sectional study where a population-based sample of 5,500 adult cancer patients were be recruited for a mailed survey (with telephone follow-up of non-responders) to evaluate the equivalence of PROMIS measures across socio-demographic and clinical sub-groups. Patients diagnosed with any of seven cancers were eligible (female breast cancer, uterine and cervical cancers, prostate cancer, colorectal cancer, non- small cell lung cancer (NSCLC) and non-Hodgkin’s Lymphoma) to ensure a wide age range of adults (ages 21-84) with varying treatment experiences and potential symptoms. MY-Health focused on seven domains that are important to cancer outcomes and that are relevant to other chronic diseases: pain, depression, anxiety, sleep disturbance, fatigue, social function, and physical function. Since MY-Health is a “validation” study focusing on minorities and the underserved, racial/ethnic minorities drawn from 4 registries in 3 states (California, New Jersey, Louisiana) were oversampled Study Aims Use item-response theory (analysis of Differential Item Function (DIF)) to evaluate the measurement properties of PROMIS item banks across age and race/ethnic groups from a population-based sample of cancer patients. Evaluate the ability of PROMIS measures to detect differences in population-based patient outcomes across age, race-ethnicity, and cancer sub-groups defined by type, stage/severity, comorbidity, treatments, and disease phase (known-groups, construct validity). Evaluate the responsiveness of measures to detect clinically meaningful changes in selected health-related quality of life domains. To estimate cancer-specific population norms by patient age, severity, and other clinically important characteristics.

My HealtheVet (www.myhealth.va.gov) is a Personal Health Record portal designed to improve the delivery of health care services to Veterans, to promote health and wellness, and to engage Veterans as more active participants in their health care. The My HealtheVet portal enables Veterans to create and maintain a web-based PHR that provides access to patient health education information and resources, a comprehensive personal health journal, and electronic services such as online VA prescription refill requests and Secure Messaging. Veterans can visit the My HealtheVet website and self-register to create an account, although registration is not required to view the professionally-sponsored health education resources, including topics of special interest to the Veteran population. Once registered, Veterans can create a customized PHR that is accessible from any computer with Internet access.

Community Acquired Pneumonia (CAP) is the leading cause of infectious death and the third leading cause of death globally. Disease severity and outcomes are highly variable, dependent on host factors (such as age, smoking history, frailty and comorbidities), microbial factors (the causative organism) and what treatments are given. Clinical decision pathways are complex and despite guidelines, there is significant national variability in how guidelines are adhered to and patient outcomes.

For clinicians treating pneumonia in the hospital setting, care of these patients can be challenging. Key decisions include the type of antibiotics (oral or intravenous), the appropriate place of care (home, hospital or intensive care), and when it is appropriate to stop antibiotics. Decision support tools to help inform clinical management would be highly valuable to the clinical community.

This dataset is synthetic, formed from statistical modelling using real patient data, and represents a population with significant diversity in terms of patient demography, socio-economic status, CAP severity, treatments and outcomes. It can be used to develop code for deployment on real data, train data analysts and increase familiarity with this disease and its management.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

EHR. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. This synthetic dataset has been modelled to reflect data collected from this EHR.

Scope: A synthetic dataset which has been statistically modelled on all hospitalised patients admitted to UHB with Community Acquired Pneumonia. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care including timings, admissions, escalation of care to ITU, discharge outcomes, physiology readings (heart rate, blood pressure, AVPU score and others), blood results and drug prescribing and administration.

Available supplementary data: Matched synthetic controls; ambulance, OMOP data, real patient CAP data. Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

BackgroundDespite decades of calls for increased diversity in the health research workforce, disparities exist for many populations, including Black, Indigenous, and People of Color individuals, those from low-income families, and first-generation college students. To increase representation of historically marginalized populations, there is a critical need to develop programs that strengthen their path toward health research careers. High school is a critically important time to catalyze interest and rebuild engagement among youth who may have previously felt excluded from science, technology, engineering, and mathematics (STEM) and health research careers.MethodsThe overall objective of the MYHealth program is to engage high school students in a community-based participatory research program focused on adolescent health. Investigators will work alongside community partners to recruit 9th through 12th graders who self-identify as a member of a group underrepresented in STEM or health research careers (e.g., based on race and ethnicity, socioeconomic status, first generation college student, disability, etc.). MYHealth students are trained to be co-researchers who work alongside academic researchers, which will help them to envision themselves as scientists capable of positively impacting their communities through research. Implemented in three phases, the MYHealth program aims to foster a continuing interest in health research careers by developing: 1) researcher identities, 2) scientific literacy, 3) scientific self-efficacy, and 4) teamwork and leadership self-efficacy. In each phase, students will build knowledge and skills in research, ethics, data collection, data analysis, and dissemination. Students will directly collaborate with and be mentored by a team that includes investigators, community advisors, scientific advisors, and youth peers.DiscussionEach year, a new cohort of up to 70 high school students will be enrolled in MYHealth. We anticipate the MYHealth program will increase interest and persistence in STEM and health research among groups that have been historically excluded in health research careers.

As at June 2022, ** percent of public pathology labs, pharmacies, and general practices in Australia were registered with My Health Record. Public hospitals followed closely with a registration rate of **** percent, whereas only ** percent of private day surgery hospitals were registered.

Series of indicators underlying the myhealthlondon website. Information about outcome standards is also available.

Each indicator is provided as a separate data file which can be found using the links below. Full metadata for the indicators are also available.

1. Indicator 1 - One year cancer survival for lung cancer and breast cancer (Borough level)
2. Indicator 2 - Identifying the prevalence of cancer (Borough level)
3. Indicator 3 - Cervical Screening
4. Indicator 4 - GP recorded smoking (all patients)
5. Indicator 5 - GP recorded smoking (patients with long term conditions)
6. Indicator 6a - Identification of the prevalence of atrial fibrillation
7. Indicator 6b - Treatment of atrial fibrillation
8. Indicator 7 - Uptake of immunisations for children
9. Indicator 8 - Uptake of immunisation for influenza for patients aged over 65, and those at risk under 65
10. Indicator 9 - Identifying the prevalence of chronic obstructive pulmonary disease based on estimates for the local population
11. Indicator 10 - Identifying the prevalence of asthma - no data for 2009
12. Indicator 11 - Identifying the prevalence of Diabetes - no data for 2009
13. Indicator 12 - Identifying the prevalence of coronary heart disease
14. Indicator 13 - Identifying the prevalence of dementia - data no longer available
15. Indicator 14 - Monitoring safe, rational and cost effective prescribing in general practice (Borough level)
16. Indicator 15 - The rate of emergency hospital admission for people with long term conditions usually managed by GPs
17. Indicator 16 - Rate of A&E attendances
18. Indicator 17 - Satisfaction with the quality of consultation at the GP practice
19. Indicator 17a - Percentage of patients who gave a positive answer to 'did the doctor or nurse take notice of your views about how to deal with your health problem?'
20. Indicator 17b - Percentage of patients who gave a positive answer to 'did the doctor or nurse give you information about the things you might do to deal with your health problem?'
21. Indicator 17c - Percentage of patients who gave a positive answer to 'did you and the doctor or nurse agree about how best to manage your health problem?
22. Indicator 17d - Percentage of patients who gave a positive answer to 'did the doctor or nurse give you a written document about the discussions you had about managing your health problem?'
23. Indicator 17e - Percentage of patients who gave a positive answer to 'did you want a written plan summarising your discussion with the doctor or nurse?'
24. Indicator 17f - Percentage of patients who gave a positive answer to 'did the doctor or nurse ever tell you that you had something called a 'care plan?'
25. Indicator 17g - Percentage of patients who gave a positive answer to 'do you think that having these discussions with your doctor or nurse has helped improve how you manage your health problem?'
26. Indicator 18 - Satisfaction with overall care received at the GP practice
27. Indicator 19 - Patients leaving this GP practice without changing home address
28. Indicator 20 - Satisfaction in being able to see a preferred doctor
29. Indicator 21 - Satisfaction with accessing primary care
30. Indicator 22 - Significant event reviews (one year and three year minimum levels)
31. Indicators 23 & 24 - Do not exist
32. Indicator 25 - Early detection of Cancer
33. Indicator 26b - Identifying the prevalence and assessing patients with a new diagnosis of depression - 26a data no longer available
34. Indicator 26c - Assessment of depression
35. Indicator 27a - Percentage of patients in the local area with serious mental illness contacted by their GP practice after missing their health review
36. Indicator 27b - Percentage of patients with serious mental illness with a physical health check in the last 15 months
37. Indicator 27c - Blood pressure checks for serious mental health illness
38. Indicator 27d - Physical health checks for serious mental health illness
39. Indicator 28 - End of life care

All indicators are provided at GP Practice level except for those marked as Borough level.

19 and 25 as of 04/09/2012

Indicator 6 updated as of 01/05/2013

Indicators 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 17a to 17g, 18, 20, 21, 22, 26a, 26c, 27c ,27d and 28 updated as of 17/12/2013

Indicator 26a has been discontinued and is no longer available on the Datastore. There is a possibility that it may be reinstated in the future.

Data are provided in a standardised schema with each record containing an indicator ID and organisation ID. These can be matched against the two lookup files below to identify the indicator (or sub-indicator where available) and organisation.

• Indicator Lookup File (csv format)
• Organisation Lookup File (csv format)
• "https://s3-eu-west-1.amazonaws.com/londondatastore-upload/nhs-myhealth-period-lookup.csv">Period Lookup

The Trust in Digital Health project was conducted by the Centre for Social Research in Health, UNSW Sydney in collaboration with community organisations to assess views of digital health systems in Australia, particularly among communities affected by bloodborne viruses and sexually transmissible infections. We conducted a national, online survey of Australians’ attitudes to digital health in April–June 2020. The sample (N=2,240) was recruited from the general population and four priority populations affected by HIV and other sexually transmissible infections: gay and bisexual men, people living with HIV, sex workers, and trans and gender-diverse people. The deidentified dataset and syntax provided here were used for an analysis of factors associated with greater knowledge of My Health Record and the likelihood of opting out of the system. My Health Record is Australia’s national, digital, personal health record system. , The data were collected from a national, online, cross-sectional survey conducted in Australia in April–June 2020. The dataset has been deidentified and cleaned using Stata version 16.1 (College Station, TX)., Stata version 16.1 (College Station, TX) was used to create the dataset (a .dta file) and perform statistical analyses (in a .do syntax file).

The Asia Pacific digital health market is anticipated to reach $72.28 billion by 2033, propelled by a CAGR of 23.1% during the forecast period. The market's growth is fueled by the increasing prevalence of chronic diseases, rising healthcare costs, and the growing adoption of wearable devices and mHealth apps. In particular, the COVID-19 pandemic has accelerated the adoption of telemedicine and remote patient monitoring, further driving market expansion. The digital health market in the Asia Pacific region is highly fragmented, with a plethora of players offering a wide range of solutions. Major players include Veradigm LLC, Apple Inc., Telefonica S.A., McKesson Corp., and Epic Systems Corp. Key market trends include the convergence of digital health with AI and data analytics, the increasing emphasis on preventive healthcare, and the growing involvement of insurers and payers in digital health initiatives. However, the market faces challenges related to data privacy and security, as well as the need for regulatory frameworks to ensure the safe and effective use of digital health technologies. By understanding these market dynamics, companies can position themselves for growth in this rapidly evolving landscape. Recent developments include: In June 2023, FUJIFILM India launched its mobile application, ‘FUJIFILM Connect.’ The app provides healthcare professionals with a comprehensive solution for managing the service and support of their medical diagnostic devices. In addition, it delivers real-time push notifications to keep users informed and updated , In May 2023, Ora, a Singapore-based telehealth platform, raised USD 10 million in Series A funding. It is the largest telehealth Series A funding round in Southeast Asia , In May 2023, Ubie, a health-tech startup in Japan, partnered with Google’s Android platform, "Health Connect (Beta)," to provide better medical services to users. Ubie AI Symptom Checker enables users to receive improved disease information by sharing their blood sugar levels on Health Connect (Beta). By sharing data, users can benefit from more accurate symptom-related questions, which can help them make better medical decisions , In March 2023, The Australian Digital Health Agency launched My Health, a consumer mobile application powered by My Health Record. With the app, users can easily access important health information, which enables them to have more control over their health journey and take an active role in managing their daily health activities .

The acute-care pathway (from the emergency department (ED) through acute medical units or ambulatory care and on to wards) is the most visible aspect of the hospital health-care system to most patients. Acute hospital admissions are increasing yearly and overcrowded emergency departments and high bed occupancy rates are associated with a range of adverse patient outcomes. Predicted growth in demand for acute care driven by an ageing population and increasing multimorbidity is likely to exacerbate these problems in the absence of innovation to improve the processes of care.

Key targets for Emergency Medicine services are changing, moving away from previous 4-hour targets. This will likely impact the assessment of patients admitted to hospital through Emergency Departments.

This data set provides highly granular patient level information, showing the day-to-day variation in case mix and acuity. The data includes detailed demography, co-morbidity, symptoms, longitudinal acuity scores, physiology and laboratory results, all investigations, prescriptions, diagnoses and outcomes. It could be used to develop new pathways or understand the prevalence or severity of specific disease presentations.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

Electronic Health Record: University Hospital Birmingham is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Scope: All patients with a medical emergency admitted to hospital, flowing through the acute medical unit. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes patient demographics, co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions, wards and readmissions), physiology readings (NEWS2 score and clinical frailty scale), Charlson comorbidity index and time dimensions.

Available supplementary data: Matched controls; ambulance data, OMOP data, synthetic data.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

As of March 2023, the number of My Health Records created in New South Wales, Australia totaled **** million. Victoria, the second most populated state in Australia after New South Wales, had just under *********** registered My Health Records.

Keeping track of your health is, for many people, a continuous task. Monitoring what you eat, how often you exercise and how much water you drink can be time-consuming, fortunately there are tens of...

Overview of evaluation instruments and data collection timepoints.

Financial overview and grant giving statistics of My Health and Wellness Advisor

The global medical database software market is experiencing robust growth, driven by the increasing adoption of electronic health records (EHRs) and the rising need for efficient health information management (HIM) systems. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated $45 billion by 2033. This expansion is fueled by several key factors: the increasing digitization of healthcare, the growing demand for data-driven insights to improve patient care and operational efficiency, and the expanding adoption of cloud-based solutions offering scalability and accessibility. Pharmaceutical companies and academic/research institutions are significant drivers, leveraging these systems for drug discovery, clinical trials management, and advanced research initiatives. However, challenges such as data security concerns, high implementation costs, and the need for robust interoperability between different systems pose restraints to market growth. The market is segmented by software type (EHR, HIM) and application (pharmaceutical companies, academic institutions, others), providing diverse opportunities for specialized vendors. Geographic expansion continues, with North America and Europe currently holding significant market share, but growth is anticipated across Asia-Pacific and other regions as healthcare infrastructure modernizes. The competitive landscape is dynamic, with established players like NextGen Healthcare and emerging companies like Pabau and EHR Your Way vying for market share. The success of individual vendors depends on factors including the scalability of their solutions, the depth of their data analytics capabilities, and the strength of their customer support network. The market's trajectory is heavily influenced by government regulations regarding data privacy and interoperability, the ongoing evolution of healthcare technology, and the increasing focus on personalized medicine. Further growth is likely to be seen in areas such as AI-powered diagnostics, predictive analytics, and advanced data visualization tools integrated within medical databases.

The ‘My Health, My School’ (MHMS) annual school survey is a free pupil survey available for pupils in Years 5, 6, 7, 9 and 11 as well as for pupils attending any of our Specialist Inclusive Learning Centres (SILCs) and post-16 settings in Leeds. The survey gathers important pupil perception data and measures health behaviours contributing to school improvement by providing instant data for schools across a range of key areas including Healthy Eating, Physical Activity, PE and Sport, Drugs, Alcohol and Tobacco, Sexual Health, Social, Emotional and Mental Health, Safety and Anti-bullying. As a direct result of the Coronavirus pandemic, and subsequent school closures on 20 th March 2020, the number of survey responses for 2019-20 was significantly reduced. A total of 5,307 responses were received from 37 Primary schools, 9 Secondary schools; 1 SILC and 9 Post-16 departments as well as Leeds City College Where there are blank sections in the data it is because those questions have not been asked to those year groups.

Explore the historical Whois records related to my-health-now.org (Domain). Get insights into ownership history and changes over time.