Neel chauhan (8 resultados)

Idioma: Inglés
Editorial: Amazon Digital Services LLC - Kdp Mär 2026, 2026
- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 41,87
Envío por EUR 35,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware.

Idioma: Inglés
Editorial: Independently Published, 2026
- Tapa blanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 37,72
Envío por EUR 43,73Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. The template was set years ago by people who have left. Since then it has been amended forty times by exception, each amendment reasonable on the day, and the result is a schedule nobody designed and nobody can explain. Ask why a slot type exists and the answer is a name rather than a reason.Most primary care improvement work fails at that layer. The strategy is fine. The population health plan is fine. What is missing is governance of the ordinary operating decisions: who may change a template, how a panel is sized, what the staffing ratio is based on, and how a total cost of care target reaches the person who has fifteen minutes with a patient. Without that, every initiative lands on a chassis that cannot carry it.This is the foundational volume of the series, and it builds the chassis. It is the book the AI titles assume you already have, and it is deliberately unglamorous: template governance, phase-appropriate expectations, staffing built from work rather than from benchmarks, and a scorecard that a medical group can actually run on.What this book will not do. It does not offer benchmarks to import, on the view that a borrowed ratio is how a bad decision acquires an evidence base. It makes no financial or clinical claim. It builds the governance underneath the initiatives, which is unglamorous work and is also the reason so many of the initiatives sitting above it keep failing.What you will be able to doGovern the template so changes go through a decision rather than an exception.Locate your operation honestly on a phase model, and stop importing practices from a phase you have not reached.Cascade a total cost of care target down to decisions a clinic manager can actually make.Build staffing from the work that exists rather than from a benchmark ratio borrowed from a different payer mix.Run a capacity and access scorecard that survives contact with a medical group board.Set the weekly operating rhythm so that the same six questions get asked every week by name.The frameworks this book buildsTemplate governance: who may change what, on what evidence, with what review.The phase model: what is appropriate to attempt at each stage of operational maturity, and what will fail if attempted early.The TCOC cascade: translating a cost-of-care target into decisions at panel, clinic and encounter level.Work-based staffing and the capacity and access scorecard: staffing from measured work, and the small measure set that shows whether it holds.The companion instruments. Every framework here is published as a working file in the The Primary Care Operations Toolkit: 11 workbooks and documents in Excel and Word, licensed to a single organization, available separately from the Institute. Data validation on the cells you fill, IFERROR on every division, formula cells protected and your cells left open. The book gives you enough to build these yourself. The toolkit exists so that you do not have to.Written from the operator's chair. Neel Chauhan, MD MBA is a physician-executive whose career spans three national healthcare systems. Quantitative claims carry a named, dated source in the same sentence, or the sentence says where the evidence stops. Composites are labeled as composites. The Healthcare AI Institute accepts no vendor sponsorship, holds no vendor equity and takes no referral fees, which is the only reason a chapter is free to say that a category is not ready. 246 pages, 6 x 9 in.Who this is forHealth system COOs, medical group executives, FQHC leadership and anyone accountable for how a primary care operation actually runs. Start here if you are new to the series. This item is printed on de Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Idioma: Inglés
Editorial: Amazon Digital Services LLC - Kdp Jun 2026, 2026
- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 50,04
Envío por EUR 35,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Before you buy healthcare AI, read this.Every primary care organization is being told to automate - scheduling AI, ambient scribes, predictive no-show models. But automation laid on top of a broken operation just makes the brokenness faster and more expensive. The Primary Care Operations Playbook is the foundation volume of the Healthcare AI Playbook Series: the operational work that decides whether any AI you buy actually pays off.This is a field manual for the people who own the numbers - health-system and clinic operations leaders, FQHC executives, and medical directors. Inside, six operating frameworks you can put to work this quarter: - The Access Triangle - diagnose why patients can't get in, and which lever to pull first.- Template & Scheduling Governance - stop the drift that quietly erodes capacity.- The Total-Cost-of-Care Cascade - connect daily operations to the financials leaders are graded on.- Capacity Taxonomy - a shared language for what your practice can actually deliver.- Work-Based Staffing - size the team to the work, not to habit.- Value-Based Care readiness - what has to be true operationally before the model works for you.Drawing on two decades of operations leadership across three health systems internationally, it shows that the failures - and the solutions - are universal. No vendor pitch. No hype. Just the disciplines that decide whether a primary care organization thrives.Read this first. Then automate with confidence - starting with Book 1, AI for Healthcare Scheduling & Patient Access.From the Healthcare AI Institute. Follow us on Amazon for new releases in the series. …

Idioma: Inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 25,75
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. Third-next-available has not moved in two years. The template was set by a committee that has since dissolved; half the slots are held by rules nobody can trace to a decision, and the call center is measured on abandonment while the clinic is measured on utilization, so the two of them optimize against each other every single day.Scheduling is where AI is easiest to buy and hardest to bank. A no-show model is only worth what your overbooking policy lets you do with it. An optimizer is only worth what your template governance permits it to change. Buy the model without fixing the policy underneath, and you get a more accurate prediction feeding a schedule that cannot act on it, which is an expensive way to be right.This book works the other order. It starts with the metrics that actually move and the ones that only look like they do, sets the template governance a model needs to be useful, and only then evaluates the tool. It says plainly where the category is thin and which claims to make a vendor demonstrate on your data instead of theirs.What this book will not do. It will not promise you an access improvement, because the size of one depends on your template, your payer mix, and your no-show pattern, none of which a book can see. It does not rank named products. It gives you the measurement and the evaluation method, and leaves the conclusion where it belongs, which is with you and the people who run your schedule.What you will be able to doInstrument access with a metric set that survives a board question, and retire the ones that measure the schedule rather than the patient.Separate demand you can predict from demand you cannot, and stop trying to optimize the second.Set the overbooking and release policy before the no-show model arrives, so the prediction has somewhere to land.Score a scheduling vendor across seven dimensions with weights you set in advance and can defend afterwards.Design a pilot with a baseline, a stop rule and an owner, so it ends in a decision rather than an extension.Say what the tool must show on your own historical data before you sign.The frameworks this book buildsThe access metrics dashboard: the small number of measures that move together, with the definition written down so it cannot drift.The seven-dimension vendor evaluation: capability, integration, workflow fit, evidence, security, service and exit, weighted before you see a demo.The companion instruments. Every framework here is published as a working file in the AI-Powered Scheduling Optimization Toolkit: 6 workbooks and documents in Excel and Word, licensed to a single organization, available separately from the Institute. Data validation on the cells you fill, IFERROR on every division, formula cells protected and your cells left open. The book gives you enough to build these yourself. The toolkit exists so that you do not have to.Written from the operator's chair. Neel Chauhan, MD MBA is a physician-executive whose career spans three national healthcare systems. Quantitative claims carry a named, dated source in the same sentence, or the sentence says where the evidence stops. Composites are labeled as composites. The Healthcare AI Institute accepts no vendor sponsorship, holds no vendor equity and takes no referral fees, which is the only reason a chapter is free to say that a category is not ready. Who this is forAccess leaders, ambulatory COOs and the operations teams who own the schedule. Written for the person who will have to make the template change, not the person who signs the purchase order. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Idioma: Inglés
Editorial: Independently published, 2026
- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 25,76
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.

Idioma: Inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 29,43
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. The template was set years ago by people who have left. Since then it has been amended forty times by exception, each amendment reasonable on the day, and the result is a schedule nobody designed and nobody can explain. Ask why a slot type exists and the answer is a name rather than a reason.Most primary care improvement work fails at that layer. The strategy is fine. The population health plan is fine. What is missing is governance of the ordinary operating decisions: who may change a template, how a panel is sized, what the staffing ratio is based on, and how a total cost of care target reaches the person who has fifteen minutes with a patient. Without that, every initiative lands on a chassis that cannot carry it.This is the foundational volume of the series, and it builds the chassis. It is the book the AI titles assume you already have, and it is deliberately unglamorous: template governance, phase-appropriate expectations, staffing built from work rather than from benchmarks, and a scorecard that a medical group can actually run on.What this book will not do. It does not offer benchmarks to import, on the view that a borrowed ratio is how a bad decision acquires an evidence base. It makes no financial or clinical claim. It builds the governance underneath the initiatives, which is unglamorous work and is also the reason so many of the initiatives sitting above it keep failing.What you will be able to doGovern the template so changes go through a decision rather than an exception.Locate your operation honestly on a phase model, and stop importing practices from a phase you have not reached.Cascade a total cost of care target down to decisions a clinic manager can actually make.Build staffing from the work that exists rather than from a benchmark ratio borrowed from a different payer mix.Run a capacity and access scorecard that survives contact with a medical group board.Set the weekly operating rhythm so that the same six questions get asked every week by name.The frameworks this book buildsTemplate governance: who may change what, on what evidence, with what review.The phase model: what is appropriate to attempt at each stage of operational maturity, and what will fail if attempted early.The TCOC cascade: translating a cost-of-care target into decisions at panel, clinic and encounter level.Work-based staffing and the capacity and access scorecard: staffing from measured work, and the small measure set that shows whether it holds.The companion instruments. Every framework here is published as a working file in the The Primary Care Operations Toolkit: 11 workbooks and documents in Excel and Word, licensed to a single organization, available separately from the Institute. Data validation on the cells you fill, IFERROR on every division, formula cells protected and your cells left open. The book gives you enough to build these yourself. The toolkit exists so that you do not have to.Written from the operator's chair. Neel Chauhan, MD MBA is a physician-executive whose career spans three national healthcare systems. Quantitative claims carry a named, dated source in the same sentence, or the sentence says where the evidence stops. Composites are labeled as composites. The Healthcare AI Institute accepts no vendor sponsorship, holds no vendor equity and takes no referral fees, which is the only reason a chapter is free to say that a category is not ready. 246 pages, 6 x 9 in.Who this is forHealth system COOs, medical group executives, FQHC leadership and anyone accountable for how a primary care operation actually runs. Start here if you are new to the series. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Idioma: Inglés
Editorial: Independently published, 2026
- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 29,44
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.

Idioma: Inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 32,85
Envío por EUR 43,73Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. Third-next-available has not moved in two years. The template was set by a committee that has since dissolved; half the slots are held by rules nobody can trace to a decision, and the call center is measured on abandonment while the clinic is measured on utilization, so the two of them optimize against each other every single day.Scheduling is where AI is easiest to buy and hardest to bank. A no-show model is only worth what your overbooking policy lets you do with it. An optimizer is only worth what your template governance permits it to change. Buy the model without fixing the policy underneath, and you get a more accurate prediction feeding a schedule that cannot act on it, which is an expensive way to be right.This book works the other order. It starts with the metrics that actually move and the ones that only look like they do, sets the template governance a model needs to be useful, and only then evaluates the tool. It says plainly where the category is thin and which claims to make a vendor demonstrate on your data instead of theirs.What this book will not do. It will not promise you an access improvement, because the size of one depends on your template, your payer mix, and your no-show pattern, none of which a book can see. It does not rank named products. It gives you the measurement and the evaluation method, and leaves the conclusion where it belongs, which is with you and the people who run your schedule.What you will be able to doInstrument access with a metric set that survives a board question, and retire the ones that measure the schedule rather than the patient.Separate demand you can predict from demand you cannot, and stop trying to optimize the second.Set the overbooking and release policy before the no-show model arrives, so the prediction has somewhere to land.Score a scheduling vendor across seven dimensions with weights you set in advance and can defend afterwards.Design a pilot with a baseline, a stop rule and an owner, so it ends in a decision rather than an extension.Say what the tool must show on your own historical data before you sign.The frameworks this book buildsThe access metrics dashboard: the small number of measures that move together, with the definition written down so it cannot drift.The seven-dimension vendor evaluation: capability, integration, workflow fit, evidence, security, service and exit, weighted before you see a demo.The companion instruments. Every framework here is published as a working file in the AI-Powered Scheduling Optimization Toolkit: 6 workbooks and documents in Excel and Word, licensed to a single organization, available separately from the Institute. Data validation on the cells you fill, IFERROR on every division, formula cells protected and your cells left open. The book gives you enough to build these yourself. The toolkit exists so that you do not have to.Written from the operator's chair. Neel Chauhan, MD MBA is a physician-executive whose career spans three national healthcare systems. Quantitative claims carry a named, dated source in the same sentence, or the sentence says where the evidence stops. Composites are labeled as composites. The Healthcare AI Institute accepts no vendor sponsorship, holds no vendor equity and takes no referral fees, which is the only reason a chapter is free to say that a category is not ready. Who this is forAccess leaders, ambulatory COOs and the operations teams who own the schedule. Written for the person who will have to make the template change, not the person who signs the purchase order. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…