The future is primary care.

2005 ◽  
pp. 317-325 ◽  
Author(s):  
Patrick H. DeLeon ◽  
Nina P. Rossomando ◽  
Brian D. Smedley
Keyword(s):  
Primary Care ◽  
The Future

Primary Care and Public Health: A Vision for the Future

PsycCRITIQUES ◽  
2013 ◽  
Vol 58 (11) ◽  
Author(s):  
Patrick H. DeLeon ◽  
Michaela Shafer
Keyword(s):  
Public Health ◽  
Primary Care ◽  
The Future

The Future of Primary Care

PEDIATRICS ◽  
1991 ◽  
Vol 88 (1) ◽  
pp. 186-187
Author(s):  
RITAMARIE MOSCOLA
Keyword(s):  
Primary Care ◽  
Emergency Department ◽  
Social Economic ◽  
Emergency Department Visits ◽  
Missed Appointments ◽  
Cultural Changes ◽  
Pediatric Education ◽  
The Social ◽  
The Future ◽  
Physician Relationship

To the Editor.— In the article "Primary Care: The Future of Pediatric Education"1 Dr Alpert addresses many issues facing pediatrics. I agree with his list of problems. However, I doubt that the social, economic, and cultural changes he describes will ever occur. My informal survey of pediatricians in practice is a song of frustration and boredom. The ringing telephone provides the rhythm. How does a patient-physician relationship develop in an environment of missed appointments, 3 AM emergency department visits, and managed care? Many families change physicians whenever employers change health benefits packages.

scholarly journals Catchment areas: A model for the future or a relic of the past?

1995 ◽  
Vol 19 (6) ◽  
pp. 340-342
Author(s):  
John M. Kellett
Keyword(s):  
Primary Care ◽  
Catchment Area ◽  
Geriatric Medicine ◽  
The Past ◽  
Restrictive Practice ◽  
Primary Care Teams ◽  
Specialist Services ◽  
Catchment Areas ◽  
The Future

The shift of power from specialist services to the primary care teams has forced the former to examine the value of their hallowed traditions. In psychiatry, and geriatric medicine, the catchment area is a favoured restrictive practice, enabling demand to be regulated to suit the resources of each team. It is time to decide whether this is a practice to be defended and retained or whether, like many other restrictive practices, it is harmful to the consumer.

scholarly journals The Future of Health Care: Protocol for Measuring the Potential of Task Automation Grounded in the National Health Service Primary Care System (Preprint)

2018 ◽  
Author(s):  
Matthew Willis ◽  
Paul Duckworth ◽  
Angela Coulter ◽  
Eric T Meyer ◽  
Michael Osborne
Keyword(s):  
Machine Learning ◽  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
National Health Service ◽  
Health Service ◽  
National Health ◽  
Care Staff ◽  
Primary Health ◽  
The Future

BACKGROUND Recent advances in technology have reopened an old debate on which sectors will be most affected by automation. This debate is ill served by the current lack of detailed data on the exact capabilities of new machines and how they are influencing work. Although recent debates about the future of jobs have focused on whether they are at risk of automation, our research focuses on a more fine-grained and transparent method to model task automation and specifically focus on the domain of primary health care. OBJECTIVE This protocol describes a new wave of intelligent automation, focusing on the specific pressures faced by primary care within the National Health Service (NHS) in England. These pressures include staff shortages, increased service demand, and reduced budgets. A critical part of the problem we propose to address is a formal framework for measuring automation, which is lacking in the literature. The health care domain offers a further challenge in measuring automation because of a general lack of detailed, health care–specific occupation and task observational data to provide good insights on this misunderstood topic. METHODS This project utilizes a multimethod research design comprising two phases: a qualitative observational phase and a quantitative data analysis phase; each phase addresses one of the two project aims. Our first aim is to address the lack of task data by collecting high-quality, detailed task-specific data from UK primary health care practices. This phase employs ethnography, observation, interviews, document collection, and focus groups. The second aim is to propose a formal machine learning approach for probabilistic inference of task- and occupation-level automation to gain valuable insights. Sensitivity analysis is then used to present the occupational attributes that increase/decrease automatability most, which is vital for establishing effective training and staffing policy. RESULTS Our detailed fieldwork includes observing and documenting 16 unique occupations and performing over 130 tasks across six primary care centers. Preliminary results on the current state of automation and the potential for further automation in primary care are discussed. Our initial findings are that tasks are often shared amongst staff and can include convoluted workflows that often vary between practices. The single most used technology in primary health care is the desktop computer. In addition, we have conducted a large-scale survey of over 156 machine learning and robotics experts to assess what tasks are susceptible to automation, given the state-of-the-art technology available today. Further results and detailed analysis will be published toward the end of the project in early 2019. CONCLUSIONS We believe our analysis will identify many tasks currently performed manually within primary care that can be automated using currently available technology. Given the proper implementation of such automating technologies, we expect considerable staff resources to be saved, alleviating some pressures on the NHS primary care staff. INTERNATIONAL REGISTERED REPOR DERR1-10.2196/11232

The Future and Primary Care

1994 ◽  
Vol 23 (12) ◽  
pp. 690-694
Author(s):  
Joel J Alpert
Keyword(s):  
Primary Care ◽  
The Future
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